From 1cd90a87f4575f546372bedc8a3a5385ff36b8fb Mon Sep 17 00:00:00 2001 From: Adiv Paradise Date: Mon, 23 Sep 2019 14:10:50 -0400 Subject: [PATCH] Implemented spectral albedos, using weighted combinations of JPL Ecostress spectra. --- plasim/run/most_plasim_run | 2 +- plasim/src/gasweights.ipynb | 289 ++ plasim/src/landmod.f90 | 119 +- plasim/src/make_plasim | 5 +- plasim/src/outmod.f90 | 13 +- plasim/src/plasim.f90 | 4 + plasim/src/plasimmod.f90 | 11 + plasim/src/radmod.f90 | 654 +-- plasim/src/seamod.f90 | 8 + plasim/src/specblock.f90 | 1428 ++++++ .../combinedspec-checkpoint.ipynb | 681 +++ .../combinedspec-ocean-checkpoint.ipynb | 867 ++++ .../combinedspec-snow_ice-checkpoint.ipynb | 664 +++ .../spec2fortran-checkpoint.ipynb | 1299 +++++ plasim/src/specs/andesitefine_bolometric.png | Bin 0 -> 25135 bytes plasim/src/specs/andesitefine_spec.png | Bin 0 -> 16526 bytes plasim/src/specs/andesitesolid_bolometric.png | Bin 0 -> 23745 bytes plasim/src/specs/andesitesolid_spec.png | Bin 0 -> 18828 bytes plasim/src/specs/basaltsolid_bolometric.png | Bin 0 -> 22845 bytes plasim/src/specs/basaltsolid_spec.png | Bin 0 -> 21568 bytes plasim/src/specs/brownsand_bolometric.png | Bin 0 -> 22132 bytes plasim/src/specs/brownsand_spec.png | Bin 0 -> 20468 bytes plasim/src/specs/clearice_bolometric.png | Bin 0 -> 21526 bytes plasim/src/specs/clearice_spec.png | Bin 0 -> 15663 bytes plasim/src/specs/cmf.csv | 4401 +++++++++++++++++ plasim/src/specs/coarsesnow_bolometric.png | Bin 0 -> 19819 bytes plasim/src/specs/coarsesnow_spec.png | Bin 0 -> 15830 bytes plasim/src/specs/colorgrid.png | Bin 0 -> 31307 bytes plasim/src/specs/colorgrid_ocean.png | Bin 0 -> 30608 bytes plasim/src/specs/colorgrid_snow.png | Bin 0 -> 33600 bytes plasim/src/specs/colormatch.py | 105 + plasim/src/specs/colormatch.pyc | Bin 0 -> 3322 bytes plasim/src/specs/combinedspec-ocean.ipynb | 867 ++++ plasim/src/specs/combinedspec-snow_ice.ipynb | 802 +++ plasim/src/specs/combinedspec.ipynb | 681 +++ plasim/src/specs/dunesand_bolometric.png | Bin 0 -> 23147 bytes plasim/src/specs/dunesand_spec.png | Bin 0 -> 20382 bytes plasim/src/specs/finesnow_bolometric.png | Bin 0 -> 19794 bytes plasim/src/specs/finesnow_spec.png | Bin 0 -> 16097 bytes plasim/src/specs/frost_bolometric.png | Bin 0 -> 21526 bytes plasim/src/specs/frost_spec.png | Bin 0 -> 16871 bytes plasim/src/specs/glacalbmin_interp_f90.txt | 121 + plasim/src/specs/ground_bolometric.png | Bin 0 -> 22904 bytes plasim/src/specs/groundblend_interp_f90.txt | 121 + plasim/src/specs/iceblend_interp_f90.txt | 121 + plasim/src/specs/iceblendmax_interp_f90.txt | 121 + plasim/src/specs/iceblendmin_interp_f90.txt | 121 + plasim/src/specs/manifest.txt | 14 + plasim/src/specs/mediumsnow_bolometric.png | Bin 0 -> 20334 bytes plasim/src/specs/mediumsnow_spec.png | Bin 0 -> 15548 bytes plasim/src/specs/ocean_bolometric.png | Bin 0 -> 19674 bytes plasim/src/specs/ocean_refl_components.pdf | Bin 0 -> 26692 bytes plasim/src/specs/oceanblend_interp_f90.txt | 121 + ....solid.all.ward34.jpl.nicolet.spectrum.txt | 3861 +++++++++++++++ ...id.all.ward34.jpl.nicolet.spectrum_f90.txt | 962 ++++ ...ward34.jpl.nicolet.spectrum_interp_f90.txt | 121 + ...solid.vswir.ward34.jpl.perkin.spectrum.txt | 2122 ++++++++ ...d.vswir.ward34.jpl.perkin.spectrum_f90.txt | 528 ++ ....all.andesite_h4.jhu.becknic.ancillary.txt | 31 + ...e.all.andesite_h4.jhu.becknic.spectrum.txt | 2865 +++++++++++ ...l.andesite_h4.jhu.becknic.spectrum_f90.txt | 714 +++ ...ite_h4.jhu.becknic.spectrum_interp_f90.txt | 121 + ....all.andesite_h4.jhu.becknic.ancillary.txt | 31 + ...d.all.andesite_h4.jhu.becknic.spectrum.txt | 2865 +++++++++++ ...l.andesite_h4.jhu.becknic.spectrum_f90.txt | 714 +++ ...ite_h4.jhu.becknic.spectrum_interp_f90.txt | 121 + plasim/src/specs/seaicemax_interp_f90.txt | 121 + plasim/src/specs/seaicemin_interp_f90.txt | 121 + plasim/src/specs/seawater_bolometric.png | Bin 0 -> 25424 bytes plasim/src/specs/seawater_spec.png | Bin 0 -> 17524 bytes plasim/src/specs/snow_bolometric.png | Bin 0 -> 21604 bytes ...none.all.79p1536.jhu.becknic.ancillary.txt | 20 + ....none.all.79p1536.jhu.becknic.spectrum.txt | 2889 +++++++++++ ...e.all.79p1536.jhu.becknic.spectrum_f90.txt | 720 +++ ...9p1536.jhu.becknic.spectrum_interp_f90.txt | 121 + ...none.all.89p1772.jhu.becknic.ancillary.txt | 20 + ....none.all.89p1772.jhu.becknic.spectrum.txt | 2889 +++++++++++ ...e.all.89p1772.jhu.becknic.spectrum_f90.txt | 720 +++ ...9p1772.jhu.becknic.spectrum_interp_f90.txt | 121 + ....none.all.87p706.jhu.becknic.ancillary.txt | 36 + ...t.none.all.87p706.jhu.becknic.spectrum.txt | 2865 +++++++++++ ...ne.all.87p706.jhu.becknic.spectrum_f90.txt | 714 +++ ...87p706.jhu.becknic.spectrum_interp_f90.txt | 121 + ...nt.none.all.0015.jhu.becknic.ancillary.txt | 23 + ...ent.none.all.0015.jhu.becknic.spectrum.txt | 2865 +++++++++++ ...none.all.0015.jhu.becknic.spectrum_f90.txt | 714 +++ ...l.0015.jhu.becknic.spectrum_interp_f90.txt | 121 + plasim/src/specs/spec2fortran.ipynb | 1299 +++++ plasim/src/specs/tapwater_bolometric.png | Bin 0 -> 21613 bytes plasim/src/specs/tapwater_spec.png | Bin 0 -> 21700 bytes ...ne.all.frost_snw_.jhu.becknic.spectrum.txt | 986 ++++ ...ll.frost_snw_.jhu.becknic.spectrum_f90.txt | 244 + ...t_snw_.jhu.becknic.spectrum_interp_f90.txt | 121 + ...olid.all.ice_dat_.jhu.becknic.spectrum.txt | 582 +++ ....all.ice_dat_.jhu.becknic.spectrum_f90.txt | 144 + ...e_dat_.jhu.becknic.spectrum_interp_f90.txt | 121 + ...quid.tir.seawater.jhu.becknic.spectrum.txt | 2145 ++++++++ ....tir.seawater.jhu.becknic.spectrum_f90.txt | 534 ++ ...awater.jhu.becknic.spectrum_interp_f90.txt | 121 + ...e.all.coarse_snw_.jhu.becknic.spectrum.txt | 986 ++++ ...l.coarse_snw_.jhu.becknic.spectrum_f90.txt | 244 + ...e_snw_.jhu.becknic.spectrum_interp_f90.txt | 121 + ...ine.all.fine_snw_.jhu.becknic.spectrum.txt | 986 ++++ ...all.fine_snw_.jhu.becknic.spectrum_f90.txt | 244 + ...e_snw_.jhu.becknic.spectrum_interp_f90.txt | 121 + ....all.medgran_snw_.jhu.becknic.spectrum.txt | 986 ++++ ....medgran_snw_.jhu.becknic.spectrum_f90.txt | 244 + ...n_snw_.jhu.becknic.spectrum_interp_f90.txt | 121 + ...quid.all.tapwater.jhu.becknic.spectrum.txt | 2865 +++++++++++ ....all.tapwater.jhu.becknic.spectrum_f90.txt | 714 +++ ...pwater.jhu.becknic.spectrum_interp_f90.txt | 121 + plasim/src/specs/wvref.txt | 965 ++++ plasim/src/specs/yellowloam_bolometric.png | Bin 0 -> 22224 bytes plasim/src/specs/yellowloam_spec.png | Bin 0 -> 20073 bytes plasim/src/specs/yellowsand_bolometric.png | Bin 0 -> 22477 bytes plasim/src/specs/yellowsand_spec.png | Bin 0 -> 19815 bytes 116 files changed, 58432 insertions(+), 480 deletions(-) create mode 100644 plasim/src/gasweights.ipynb create mode 100644 plasim/src/specblock.f90 create mode 100644 plasim/src/specs/.ipynb_checkpoints/combinedspec-checkpoint.ipynb create mode 100644 plasim/src/specs/.ipynb_checkpoints/combinedspec-ocean-checkpoint.ipynb create mode 100644 plasim/src/specs/.ipynb_checkpoints/combinedspec-snow_ice-checkpoint.ipynb create mode 100644 plasim/src/specs/.ipynb_checkpoints/spec2fortran-checkpoint.ipynb create mode 100644 plasim/src/specs/andesitefine_bolometric.png create mode 100644 plasim/src/specs/andesitefine_spec.png create mode 100644 plasim/src/specs/andesitesolid_bolometric.png create mode 100644 plasim/src/specs/andesitesolid_spec.png create mode 100644 plasim/src/specs/basaltsolid_bolometric.png create mode 100644 plasim/src/specs/basaltsolid_spec.png create mode 100644 plasim/src/specs/brownsand_bolometric.png create mode 100644 plasim/src/specs/brownsand_spec.png create mode 100644 plasim/src/specs/clearice_bolometric.png create mode 100644 plasim/src/specs/clearice_spec.png create mode 100644 plasim/src/specs/cmf.csv create mode 100644 plasim/src/specs/coarsesnow_bolometric.png create mode 100644 plasim/src/specs/coarsesnow_spec.png create mode 100644 plasim/src/specs/colorgrid.png create mode 100644 plasim/src/specs/colorgrid_ocean.png create mode 100644 plasim/src/specs/colorgrid_snow.png create mode 100644 plasim/src/specs/colormatch.py create mode 100644 plasim/src/specs/colormatch.pyc create mode 100644 plasim/src/specs/combinedspec-ocean.ipynb create mode 100644 plasim/src/specs/combinedspec-snow_ice.ipynb create mode 100644 plasim/src/specs/combinedspec.ipynb create mode 100644 plasim/src/specs/dunesand_bolometric.png create mode 100644 plasim/src/specs/dunesand_spec.png create mode 100644 plasim/src/specs/finesnow_bolometric.png create mode 100644 plasim/src/specs/finesnow_spec.png create mode 100644 plasim/src/specs/frost_bolometric.png create mode 100644 plasim/src/specs/frost_spec.png create mode 100644 plasim/src/specs/glacalbmin_interp_f90.txt create mode 100644 plasim/src/specs/ground_bolometric.png create mode 100644 plasim/src/specs/groundblend_interp_f90.txt create mode 100644 plasim/src/specs/iceblend_interp_f90.txt create mode 100644 plasim/src/specs/iceblendmax_interp_f90.txt create mode 100644 plasim/src/specs/iceblendmin_interp_f90.txt create mode 100644 plasim/src/specs/manifest.txt create mode 100644 plasim/src/specs/mediumsnow_bolometric.png create mode 100644 plasim/src/specs/mediumsnow_spec.png create mode 100644 plasim/src/specs/ocean_bolometric.png create mode 100644 plasim/src/specs/ocean_refl_components.pdf create mode 100644 plasim/src/specs/oceanblend_interp_f90.txt create mode 100644 plasim/src/specs/rock.igneous.basic.solid.all.ward34.jpl.nicolet.spectrum.txt create mode 100644 plasim/src/specs/rock.igneous.basic.solid.all.ward34.jpl.nicolet.spectrum_f90.txt create mode 100644 plasim/src/specs/rock.igneous.basic.solid.all.ward34.jpl.nicolet.spectrum_interp_f90.txt create mode 100644 plasim/src/specs/rock.igneous.basic.solid.vswir.ward34.jpl.perkin.spectrum.txt create mode 100644 plasim/src/specs/rock.igneous.basic.solid.vswir.ward34.jpl.perkin.spectrum_f90.txt create mode 100644 plasim/src/specs/rock.igneous.intermediate.fine.all.andesite_h4.jhu.becknic.ancillary.txt create mode 100644 plasim/src/specs/rock.igneous.intermediate.fine.all.andesite_h4.jhu.becknic.spectrum.txt create mode 100644 plasim/src/specs/rock.igneous.intermediate.fine.all.andesite_h4.jhu.becknic.spectrum_f90.txt create mode 100644 plasim/src/specs/rock.igneous.intermediate.fine.all.andesite_h4.jhu.becknic.spectrum_interp_f90.txt create mode 100644 plasim/src/specs/rock.igneous.intermediate.solid.all.andesite_h4.jhu.becknic.ancillary.txt create mode 100644 plasim/src/specs/rock.igneous.intermediate.solid.all.andesite_h4.jhu.becknic.spectrum.txt create mode 100644 plasim/src/specs/rock.igneous.intermediate.solid.all.andesite_h4.jhu.becknic.spectrum_f90.txt create mode 100644 plasim/src/specs/rock.igneous.intermediate.solid.all.andesite_h4.jhu.becknic.spectrum_interp_f90.txt create mode 100644 plasim/src/specs/seaicemax_interp_f90.txt create mode 100644 plasim/src/specs/seaicemin_interp_f90.txt create mode 100644 plasim/src/specs/seawater_bolometric.png create mode 100644 plasim/src/specs/seawater_spec.png create mode 100644 plasim/src/specs/snow_bolometric.png create mode 100644 plasim/src/specs/soil.aridisol.calciorthid.none.all.79p1536.jhu.becknic.ancillary.txt create mode 100644 plasim/src/specs/soil.aridisol.calciorthid.none.all.79p1536.jhu.becknic.spectrum.txt create mode 100644 plasim/src/specs/soil.aridisol.calciorthid.none.all.79p1536.jhu.becknic.spectrum_f90.txt create mode 100644 plasim/src/specs/soil.aridisol.calciorthid.none.all.79p1536.jhu.becknic.spectrum_interp_f90.txt create mode 100644 plasim/src/specs/soil.aridisol.camborthid.none.all.89p1772.jhu.becknic.ancillary.txt create mode 100644 plasim/src/specs/soil.aridisol.camborthid.none.all.89p1772.jhu.becknic.spectrum.txt create mode 100644 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plasim/src/specs/water.seawater.none.liquid.tir.seawater.jhu.becknic.spectrum_f90.txt create mode 100644 plasim/src/specs/water.seawater.none.liquid.tir.seawater.jhu.becknic.spectrum_interp_f90.txt create mode 100644 plasim/src/specs/water.snow.coarsegranular.coarse.all.coarse_snw_.jhu.becknic.spectrum.txt create mode 100644 plasim/src/specs/water.snow.coarsegranular.coarse.all.coarse_snw_.jhu.becknic.spectrum_f90.txt create mode 100644 plasim/src/specs/water.snow.coarsegranular.coarse.all.coarse_snw_.jhu.becknic.spectrum_interp_f90.txt create mode 100644 plasim/src/specs/water.snow.finegranular.fine.all.fine_snw_.jhu.becknic.spectrum.txt create mode 100644 plasim/src/specs/water.snow.finegranular.fine.all.fine_snw_.jhu.becknic.spectrum_f90.txt create mode 100644 plasim/src/specs/water.snow.finegranular.fine.all.fine_snw_.jhu.becknic.spectrum_interp_f90.txt create mode 100644 plasim/src/specs/water.snow.mediumgranular.medium.all.medgran_snw_.jhu.becknic.spectrum.txt create mode 100644 plasim/src/specs/water.snow.mediumgranular.medium.all.medgran_snw_.jhu.becknic.spectrum_f90.txt create mode 100644 plasim/src/specs/water.snow.mediumgranular.medium.all.medgran_snw_.jhu.becknic.spectrum_interp_f90.txt create mode 100644 plasim/src/specs/water.tapwater.none.liquid.all.tapwater.jhu.becknic.spectrum.txt create mode 100644 plasim/src/specs/water.tapwater.none.liquid.all.tapwater.jhu.becknic.spectrum_f90.txt create mode 100644 plasim/src/specs/water.tapwater.none.liquid.all.tapwater.jhu.becknic.spectrum_interp_f90.txt create mode 100644 plasim/src/specs/wvref.txt create mode 100644 plasim/src/specs/yellowloam_bolometric.png create mode 100644 plasim/src/specs/yellowloam_spec.png create mode 100644 plasim/src/specs/yellowsand_bolometric.png create mode 100644 plasim/src/specs/yellowsand_spec.png diff --git a/plasim/run/most_plasim_run b/plasim/run/most_plasim_run index de06414..5cbf4fb 100755 --- a/plasim/run/most_plasim_run +++ b/plasim/run/most_plasim_run @@ -1,5 +1,5 @@ #!/bin/bash -# run-script generated by Most Sat Feb 23 00:06:17 2019 +# run-script generated by Most Mon Sep 23 12:52:55 2019 EXP=MOST # Name your experiment here [ $# == 1 ] && cd $1 rm -f plasim_restart diff --git a/plasim/src/gasweights.ipynb b/plasim/src/gasweights.ipynb new file mode 100644 index 0000000..9a68a44 --- /dev/null +++ b/plasim/src/gasweights.ipynb @@ -0,0 +1,289 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "gases_default = {'pH2': 0.0,\n", + " 'pHe': 5.24e-6,\n", + " 'pN2': 0.78084,\n", + " 'pO2': 0.20946,\n", + " 'pCO2':330.0e-6,\n", + " 'pAr': 9.34e-3,\n", + " 'pNe': 18.18e-6,\n", + " 'pKr': 1.14e-6}\n", + " \n", + "gases = {'pH2': 0.0,\n", + " 'pHe': 0.0,\n", + " 'pN2': 0.0,\n", + " 'pO2': 0.0,\n", + " 'pCO2':0.0,\n", + " 'pAr': 0.0,\n", + " 'pNe': 0.0,\n", + " 'pKr': 0.0}\n", + " \n", + "gasesx = {'H2': 0.0,\n", + " 'He': 0.0,\n", + " 'N2': 0.0,\n", + " 'O2': 0.0,\n", + " 'CO2':0.0,\n", + " 'Ar': 0.0,\n", + " 'Ne': 0.0,\n", + " 'Kr': 0.0}\n", + " \n", + "smws = {'mH2': 2.01588,\n", + " 'mHe': 4.002602,\n", + " 'mN2': 28.0134,\n", + " 'mO2': 31.9988,\n", + " 'mCO2':44.01,\n", + " 'mAr': 39.948,\n", + " 'mNe': 20.1797,\n", + " 'mKr': 83.798}" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "PlaSim neads the gas constant (8314/$\\bar{m}$) and the surface pressure. We can specify the surface pressure directly and then specify mass fractions for each gas, or we can specify the partial pressures of each gas." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The mean molecular weight of a particular species $i$, $\\bar{m_i}$, describes its *mass per mole*. So if you know how much you have in mass, you just divide by $m_i$ to get how much you have in moles. Using the *mass fraction* instead of the actual mass means you get the number of moles per kilogram of atmosphere, so the total mean molecular weight, $\\bar{m}$, is the inverse of this:\n", + "$$ \\bar{m} = \\left(\\sum_i{\\frac{x_i}{m_i}}\\right)^{-1}$$" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The partial pressure and volume mixing ratio (VMR) of a gas are related, and depend not on *mass* but on *number of moles*. Therefore,\n", + "$$ p_i = \\frac{x_i}{m_i}\\bar{m}p_s $$\n", + "$$ VMR = \\frac{x_i}{m_i}\\bar{m} $$" + ] + }, + { + "cell_type": "code", + "execution_count": 105, + "metadata": {}, + "outputs": [], + "source": [ + "gasesx['H2'] = 0.75*0.8\n", + "gasesx['He'] = 0.25*0.8\n", + "gasesx['N2'] = 0.9-1.0e-2\n", + "gasesx['CO2'] = 1.0e-2" + ] + }, + { + "cell_type": "code", + "execution_count": 106, + "metadata": {}, + "outputs": [], + "source": [ + "mmwd = 0\n", + "for x in gasesx.keys():\n", + " mmwd += gasesx[x]/smws['m'+x]\n", + "mmw = 1.0/mmwd" + ] + }, + { + "cell_type": "code", + "execution_count": 107, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Mean Molecular Weight: 2.63433813129\n", + "Gas Constant: 3156.2\n", + "Scale Height on Earth: 93.6 km\n" + ] + } + ], + "source": [ + "print \"Mean Molecular Weight: \",mmw\n", + "print \"Gas Constant: %4.1f\"%(8314.46261815324/mmw)\n", + "print \"Scale Height on Earth: %2.1f km\"%(29.0/mmw*8.5)" + ] + }, + { + "cell_type": "code", + "execution_count": 108, + "metadata": {}, + "outputs": [], + "source": [ + "for x in gasesx.keys():\n", + " gases['p'+x] = gasesx[x]/smws['m'+x]*mmw*1.0" + ] + }, + { + "cell_type": "code", + "execution_count": 109, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "pKr\t0.000000\n", + "pAr\t0.000000\n", + "pNe\t0.000000\n", + "pCO2\t0.000599\n", + "pH2\t0.784076\n", + "pN2\t0.083694\n", + "pO2\t0.000000\n", + "pHe\t0.131631\n" + ] + } + ], + "source": [ + "for p in gases.keys():\n", + " print '%s\\t%1.6f'%(p,gases[p])" + ] + }, + { + "cell_type": "code", + "execution_count": 88, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Kr\tVMR\t0.000000\n", + "CO2\tVMR\t0.000060\n", + "Ne\tVMR\t0.000000\n", + "H2\tVMR\t0.783835\n", + "Ar\tVMR\t0.000000\n", + "N2\tVMR\t0.084515\n", + "O2\tVMR\t0.000000\n", + "He\tVMR\t0.131591\n" + ] + } + ], + "source": [ + "gasesvx={}\n", + "for x in gasesx.keys():\n", + " print \"%s\\tVMR\\t%1.6f\"%(x,gasesx[x]/smws['m'+x]*mmw)\n", + " gasesvx[x] = gasesx[x]/smws['m'+x]*mmw" + ] + }, + { + "cell_type": "code", + "execution_count": 89, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "4.47699757763\n" + ] + } + ], + "source": [ + "mmw2 = 0\n", + "for x in gasesvx.keys():\n", + " mmw2 += gasesvx[x]*smws['m'+x]\n", + "print mmw2" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0.1875\n" + ] + } + ], + "source": [ + "print eval(\"0.75*0.25\")" + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0.75\n" + ] + } + ], + "source": [ + "print eval(\"0.75\")" + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "float" + ] + }, + "execution_count": 79, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "type(eval(\"0.25*0.25\"))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 2", + "language": "python", + "name": "python2" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.12" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/plasim/src/landmod.f90 b/plasim/src/landmod.f90 index 8e40894..0572b0e 100644 --- a/plasim/src/landmod.f90 +++ b/plasim/src/landmod.f90 @@ -6,7 +6,7 @@ ! ! version identifier (date) ! - character(len=80) :: version = '22.02.2005 by Larry' + character(len=80) :: lversion = '19.09.2019 by Adiv' ! ! parameters ! @@ -22,14 +22,28 @@ integer :: nwatcini = 0 ! (0/1) initialize water content of soil integer :: nwetsoil = 0 ! (0/1) Soil albedo responds to water content real :: albland = 0.2 ! albedo for land - real :: alblandmax = 0.4 - real :: alblandmin = 0.069 + ! Non-spectral versions real :: albsmin = 0.4 ! min. albedo for snow real :: albsmax = 0.8 ! max. albedo for snow real :: albsminf = 0.3 ! min. albedo for snow (with forest) real :: albsmaxf = 0.4 ! max. albedo for snow (with forest) real :: albgmin = 0.6 ! min. albedo for glaciers real :: albgmax = 0.8 ! max. albedo for glaciers + ! lambda < 0.75 microns + real :: albsmin1 = 0.4 ! min. albedo for snow + real :: albsmax1 = 0.8 ! max. albedo for snow + real :: albsminf1 = 0.3 ! min. albedo for snow (with forest) + real :: albsmaxf1 = 0.4 ! max. albedo for snow (with forest) + real :: albgmin1 = 0.6 ! min. albedo for glaciers + real :: albgmax1 = 0.8 ! max. albedo for glaciers + ! lambda > 0.75 microns + real :: albsmin2 = 0.4 ! min. albedo for snow + real :: albsmax2 = 0.8 ! max. albedo for snow + real :: albsminf2 = 0.3 ! min. albedo for snow (with forest) + real :: albsmaxf2 = 0.4 ! max. albedo for snow (with forest) + real :: albgmin2 = 0.6 ! min. albedo for glaciers + real :: albgmax2 = 0.8 ! max. albedo for glaciers + real :: dz0land = 2.0 ! roughness length land real :: drhsland = 0.25 ! wetness factor land real :: drhsfull = 0.4 ! threshold above which drhs=1 [frac. of wsmax] @@ -37,6 +51,7 @@ real :: dztop = 0.20 ! thickness of the uppermost soil layer (m) real :: dsmax = 5.00 ! maximum snow depth (m-h20; -1 = no limit) + real :: wsmax = WSMAX_EARTH ! max field capacity of soil water (m) real :: dwatcini = 0 ! water content of soil (m) @@ -89,11 +104,15 @@ real :: dtcl(NHOR,0:13) = 0.0 ! climatological surface temperature real :: dwcl(NHOR,0:13) = -1.0 ! climatological soil wetness real :: dalbcl(NHOR,0:13) = 0.2 ! climatological background albedo + real :: dalbcl1(NHOR,0:13) = 0.2 ! climatological background albedo (<.75 um) + real :: dalbcl2(NHOR,0:13) = 0.2 ! climatological background albedo (>.75 um) real :: dtclim(NHOR) = 0.0 ! climatological surface temperature real :: dwclim(NHOR) = 0.0 ! climatological soil wetness real :: dz0clim(NHOR) = 2.0 ! climatological z0 (total) real :: dz0climo(NHOR) = 0.0 ! climatological z0 (from topograhpy only) real :: dalbclim(NHOR) = 2.0 ! climatological background albedo + real :: dalbclim1(NHOR) = 2.0 ! climatological background albedo (<.75 um) + real :: dalbclim2(NHOR) = 2.0 ! climatological background albedo (>.75 um) ! end module landmod @@ -128,12 +147,16 @@ subroutine landini use landmod + use radmod ! ! initialize land surface ! namelist/landmod_nl/nlandt,nlandw,albland,dz0land,drhsland & & ,albsmin,albsmax,albsminf,albsmaxf & & ,albgmin,albgmax,nwetsoil,oroscale & + & ,albsmin1,albsmax1,albsminf1,albsmaxf1 & + & ,albgmin1,albgmax1,albsmin2,albsmax2 & + & ,albsminf2,albsmaxf2,albgmin2,albgmax2 & & ,dsmax,wsmax,drhsfull,dzglac,dztop,dsoilz & & ,rlue,co2conv,tau_veg,tau_soil & & ,rnbiocats,nwetsoil,soilcap & @@ -159,11 +182,28 @@ dwater(:) = 0.0 endif + if (mypid==NROOT) then + + albsmax1 = dsnowalbmx(1) + albgmax1 = dsnowalbmx(1) + albsmax2 = dsnowalbmx(2) + albgmax2 = dsnowalbmx(2) + albsmaxf1 = 0.5*albsmax1 + albsmaxf2 = 0.5*albsmax2 + albsmin1 = dsnowalbmn(1) + albsmin2 = dsnowalbmn(2) + albgmin1 = dglacalbmn(1) + albgmin2 = dglacalbmn(2) + albsminf1 = 0.75*albsmaxf1 + albsminf2 = 0.75*albsmaxf2 + + endif + if (mypid == NROOT) then open(12,file=landmod_namelist) read(12,landmod_nl) write(nud,'(/,"***********************************************")') - write(nud,'("* LANDMOD ",a35," *")') trim(version) + write(nud,'("* LANDMOD ",a35," *")') trim(lversion) write(nud,'("***********************************************")') write(nud,'("* Namelist LANDMOD_NL from <",a17,"> *")') & landmod_namelist @@ -174,17 +214,34 @@ if (wsmax < 0.0) wsmax = 0.0 ! Catch user error + call mpbci(nlandt) call mpbci(nlandw) call mpbci(newsurf) call mpbci(nwatcini) call mpbcr(albland) + call mpbcr(albsmin) call mpbcr(albsmax) call mpbcr(albsminf) call mpbcr(albsmaxf) call mpbcr(albgmin) call mpbcr(albgmax) + + call mpbcr(albsmin1) + call mpbcr(albsmax1) + call mpbcr(albsminf1) + call mpbcr(albsmaxf1) + call mpbcr(albgmin1) + call mpbcr(albgmax1) + + call mpbcr(albsmin2) + call mpbcr(albsmax2) + call mpbcr(albsminf2) + call mpbcr(albsmaxf2) + call mpbcr(albgmin2) + call mpbcr(albgmax2) + call mpbcr(dz0land) call mpbcr(drhsland) call mpbcr(drhsfull) @@ -224,6 +281,8 @@ dz0clim(:) = dz0land dwmax(:) = wsmax dalbcl(:,:) = albland + dalbcl1(:,:) = dgroundalb(1) + dalbcl2(:,:) = dgroundalb(2) ! !* read surface parameters ! @@ -239,6 +298,8 @@ call mpsurfgp('dtcl',dtcl,NHOR,14) call mpsurfgp('dwcl',dwcl,NHOR,14) call mpsurfgp('dalbcl',dalbcl,NHOR,14) + call mpsurfgp('dalbcl1',dalbcl1,NHOR,14) + call mpsurfgp('dalbcl2',dalbcl2,NHOR,14) ! make sure, that dwmax is positive @@ -300,11 +361,25 @@ zalbmin=dforest(jhor)*albsminf+(1.-dforest(jhor))*albsmin zdalb=(zalbmax-zalbmin)*(dts(jhor)-263.16)/(tmelt-263.16) zalbsnow=MAX(zalbmin,MIN(zalbmax,zalbmax-zdalb)) + zalbmax1=dforest(jhor)*albsmaxf1+(1.-dforest(jhor))*albsmax1 + zalbmin1=dforest(jhor)*albsminf1+(1.-dforest(jhor))*albsmin1 + zdalb1=(zalbmax1-zalbmin1)*(dts(jhor)-263.16)/(tmelt-263.16) + zalbsnow1=MAX(zalbmin1,MIN(zalbmax1,zalbmax1-zdalb1)) + zalbmax2=dforest(jhor)*albsmaxf2+(1.-dforest(jhor))*albsmax2 + zalbmin2=dforest(jhor)*albsminf2+(1.-dforest(jhor))*albsmin2 + zdalb2=(zalbmax2-zalbmin2)*(dts(jhor)-263.16)/(tmelt-263.16) + zalbsnow2=MAX(zalbmin2,MIN(zalbmax2,zalbmax2-zdalb2)) dalb(jhor)=dalbclim(jhor) & & +(zalbsnow-dalbclim(jhor))*dsnow(jhor)/(dsnow(jhor)+0.01) + dsalb(1,jhor) = dalbclim1(jhor) & + & +(zalbsnow1-dalbclim1(jhor))*dsnow(jhor)/(dsnow(jhor)+0.01) + dsalb(2,jhor) = dalbclim2(jhor) & + & +(zalbsnow2-dalbclim2(jhor))*dsnow(jhor)/(dsnow(jhor)+0.01) drhs(jhor)=1. else dalb(jhor)=dalbclim(jhor) + dsalb(1,jhor)=dalbclim1(jhor) + dsalb(2,jhor)=dalbclim2(jhor) if (dwmax(jhor) > 0.0) & drhs(jhor)=AMIN1(1.,dwatc(jhor)/(drhsfull*dwmax(jhor))) endif @@ -326,7 +401,11 @@ dsnowz(jhor)=AMAX1(dsmax,0.) dsnow(jhor)=dsnowz(jhor) zdalb=(albgmax-albgmin)*(dts(jhor)-263.16)/(tmelt-263.16) + zdalb1=(albgmax1-albgmin1)*(dts(jhor)-263.16)/(tmelt-263.16) + zdalb2=(albgmax2-albgmin2)*(dts(jhor)-263.16)/(tmelt-263.16) dalb(jhor)=MAX(albgmin,MIN(albgmax,albgmax-zdalb)) + dsalb(1,jhor)=MAX(albgmin1,MIN(albgmax1,albgmax1-zdalb1)) + dsalb(2,jhor)=MAX(albgmin2,MIN(albgmax2,albgmax2-zdalb2)) drhs(jhor)=1.0 end if @@ -358,6 +437,8 @@ call mpgetgp('dz0clim' ,dz0clim ,NHOR, 1) call mpgetgp('dz0climo',dz0climo,NHOR, 1) call mpgetgp('dalbcl' ,dalbcl ,NHOR, 14) + call mpgetgp('dalbcl1' ,dalbcl1 ,NHOR, 14) + call mpgetgp('dalbcl2' ,dlabcl2 ,NHOR, 14) n_sea_points = ncountsea(dls) @@ -386,6 +467,8 @@ dwmax(:) = wsmax dz0clim(:) = dz0land dalbcl(:,:) = albland + dalbcl1(:,:) = dgroundalb(1) + dalbcl2(:,:) = dgroundalb(2) dwcl(:,:) = wsmax * drhsfull * drhsland endif @@ -434,13 +517,27 @@ if(dsnow(jhor) > 0.) then zalbmax=dforest(jhor)*albsmaxf+(1.-dforest(jhor))*albsmax zalbmin=dforest(jhor)*albsminf+(1.-dforest(jhor))*albsmin - zdalb=(zalbmax-zalbmin)*(dts(jhor)-263.16)/(tmelt-263.16) + zdalb=(zalbmax1-zalbmin1)*(dts(jhor)-263.16)/(tmelt-263.16) zalbsnow=MAX(zalbmin,MIN(zalbmax,zalbmax-zdalb)) + zalbmax1=dforest(jhor)*albsmaxf1+(1.-dforest(jhor))*albsmax1 + zalbmin1=dforest(jhor)*albsminf1+(1.-dforest(jhor))*albsmin1 + zdalb1=(zalbmax1-zalbmin1)*(dts(jhor)-263.16)/(tmelt-263.16) + zalbsnow1=MAX(zalbmin1,MIN(zalbmax1,zalbmax1-zdalb1)) + zalbmax2=dforest(jhor)*albsmaxf2+(1.-dforest(jhor))*albsmax2 + zalbmin2=dforest(jhor)*albsminf2+(1.-dforest(jhor))*albsmin2 + zdalb2=(zalbmax2-zalbmin2)*(dts(jhor)-263.16)/(tmelt-263.16) + zalbsnow2=MAX(zalbmin2,MIN(zalbmax2,zalbmax2-zdalb2)) dalb(jhor)=dalbclim(jhor) & & +(zalbsnow-dalbclim(jhor))*dsnow(jhor)/(dsnow(jhor)+0.01) + dsalb(1,jhor) = dalbclim1(jhor) & + & +(zalbsnow1-dalbclim1(jhor))*dsnow(jhor)/(dsnow(jhor)+0.01) + dsalb(2,jhor) = dalbclim2(jhor) & + & +(zalbsnow2-dalbclim2(jhor))*dsnow(jhor)/(dsnow(jhor)+0.01) drhs(jhor)=1. else dalb(jhor)=dalbclim(jhor) + dsalb(1,jhor)=dalbclim1(jhor) + dsalb(2,jhor)=dalbclim2(jhor) if (dwmax(jhor) > 0.0) & drhs(jhor)=AMIN1(1., dwatc(jhor)/(drhsfull *dwmax(jhor))) endif @@ -478,6 +575,10 @@ where(dglac(:) > 0.5 .and. dls(:) > 0.0) dalb(:)=MAX(albgmin,MIN(albgmax & & ,albgmax-(albgmax-albgmin)*(dts(:)-263.16)/(tmelt-263.16))) + dsalb(1,:)=MAX(albgmin1,MIN(albgmax1 & + & ,albgmax1-(albgmax1-albgmin1)*(dts(:)-263.16)/(tmelt-263.16))) + dsalb(2,:)=MAX(albgmin2,MIN(albgmax2 & + & ,albgmax2-(albgmax2-albgmin2)*(dts(:)-263.16)/(tmelt-263.16))) drhs(:)=1.0 end where @@ -511,6 +612,8 @@ call mpputgp('dz0clim' ,dz0clim ,NHOR, 1) call mpputgp('dz0climo',dz0climo,NHOR, 1) call mpputgp('dalbcl' ,dalbcl ,NHOR,14) + call mpputgp('dalbcl1' ,dalbcl1 ,NHOR,14) + call mpputgp('dalbcl2' ,dalbcl2 ,NHOR,14) return end subroutine landstop @@ -1382,6 +1485,8 @@ call momint(nperpetual,nstep+1,jm1,jm2,zgw2) zgw1 = 1.0 - zgw2 dalbclim(:)=zgw1*dalbcl(:,jm1)+zgw2*dalbcl(:,jm2) + dalbclim1(:)=zgw1*dalbcl1(:,jm1)+zgw2*dalbcl1(:,jm2) + dalbclim2(:)=zgw1*dalbcl2(:,jm1)+zgw2*dalbcl2(:,jm2) ! ! Modify the surface background albedo according to soil water capacity @@ -1395,8 +1500,12 @@ dalbclim(jhor) = alblandmax * exp(-(bf*25)**6)+ & & al * (1 - exp(-(bf*25)**6) - exp(-((1-bf)*30)**9))+ & & alblandmin * exp(-((1-bf)*30)**9) + dalbclim1(jhor) = dalbclim(jhor) + dalbclim2(jhor) = dalbclim(jhor) else !Frozen soil. dalbclim(jhor) = albland + dalbclim1(jhor) = dgroundalb(1) + dalbclim2(jhor) = dgroundalb(2) endif endif enddo diff --git a/plasim/src/make_plasim b/plasim/src/make_plasim index de85d90..0067f9d 100644 --- a/plasim/src/make_plasim +++ b/plasim/src/make_plasim @@ -31,11 +31,12 @@ LANDMOD=landmod OCEAN=lsgmod OCEANCOUP=cpl -OBJ=${MPIMOD}.o ${FFTMOD}.o ${GUIMOD}.o ${RAINMOD}.o ${VEGMOD}.o ${PLAMOD}.o carbonmod.o ${UTILMOD}.o resmod.o plasim.o plasimmod.o calmod.o gaussmod.o legmod.o outmod.o miscmod.o fluxmod.o radmod.o surfmod.o ${LANDMOD}.o glaciermod.o seamod.o icemod.o oceanmod.o restartmod.o tracermod.o tpcore.o trc_routines.o ${PUMAX}.o ${OCEAN}.o ${OCEANCOUP}.o +OBJ=${MPIMOD}.o ${FFTMOD}.o ${GUIMOD}.o ${RAINMOD}.o ${VEGMOD}.o ${PLAMOD}.o carbonmod.o ${UTILMOD}.o resmod.o plasim.o plasimmod.o specblock.o calmod.o gaussmod.o legmod.o outmod.o miscmod.o fluxmod.o radmod.o surfmod.o ${LANDMOD}.o glaciermod.o seamod.o icemod.o oceanmod.o restartmod.o tracermod.o tpcore.o trc_routines.o ${PUMAX}.o ${OCEAN}.o ${OCEANCOUP}.o plasim.x: $(OBJ) $(MOST_F90) -o plasim.x $(MOST_F90_OPTS) $(OBJ) ${GUILIB} +specblock.o: specblock.f90 resmod.o: resmod.f90 plasimmod.o: plasimmod.f90 resmod.o carbonmod.o: carbonmod.f90 plasimmod.o @@ -55,7 +56,7 @@ legmod.o: legmod.f90 plasimmod.o outmod.o: outmod.f90 glaciermod.o plasimmod.o carbonmod.o miscmod.o: miscmod.f90 plasimmod.o fluxmod.o: fluxmod.f90 plasimmod.o -radmod.o: radmod.f90 plasimmod.o +radmod.o: radmod.f90 plasimmod.o specblock.o surfmod.o: surfmod.f90 plasimmod.o seamod.o: seamod.f90 plasimmod.o icemod.o: icemod.f90 plasimmod.o diff --git a/plasim/src/outmod.f90 b/plasim/src/outmod.f90 index 4034046..36e676c 100644 --- a/plasim/src/outmod.f90 +++ b/plasim/src/outmod.f90 @@ -485,6 +485,8 @@ ! ********** call writegp(40,dalb,175,0) + call writegp(40,dsalb(1,:),174,0) + call writegp(40,dsalb(2,:),184,0) else @@ -514,7 +516,10 @@ ! ********** aadalb(:) = aadalb(:)/real(naccuout) + aadsalb1(:) = aadsalb1(:)/real(naccuout) call writegp(40,aadalb,175,0) + call writegp(40,aadsalb1,174,0) + call writegp(40,aadsalb2,184,0) endif @@ -1143,6 +1148,8 @@ ! ********** call writegp(140,dalb,175,0) + call writegp(140,dsalb(1,:),174,0) + call writegp(140,dsalb(2,:),184,0) ! *************************** @@ -1546,6 +1553,8 @@ aadls(:) = 0. aadz0(:) = 0. aadalb(:) = 0. + aadsalb1(:) = 0. + aadsalb2(:) = 0. aadtsoil(:) = 0. aadtd2(:) = 0. aadtd3(:) = 0. @@ -1647,7 +1656,9 @@ aadtd5(:) = aadtd5(:) + dtd5(:) aadls(:) = aadls(:) + dls(:) aadz0(:) = aadz0(:) + dz0(:) - aadalb(:) = aadalb(:) + dalb(:) + aadalb(:) = aadalb(:) + dalb(:) + aadsalb1(:) = aadsalb1(:) + dsalb(1,:) + aadsalb2(:) = aadsalb2(:) + dsalb(2,:) aadtsoil(:) = aadtsoil(:) + dtsoil(:) aadtd2(:) = aadtd2(:) + dtd2(:) aadtd3(:) = aadtd3(:) + dtd3(:) diff --git a/plasim/src/plasim.f90 b/plasim/src/plasim.f90 index a44552c..7f29869 100644 --- a/plasim/src/plasim.f90 +++ b/plasim/src/plasim.f90 @@ -706,6 +706,8 @@ plasimversion = "https://github.com/Edilbert/PLASIM/ : 15-Dec-2015" call mpputgp('dls' ,dls ,NHOR,1) call mpputgp('drhs' ,drhs ,NHOR,1) call mpputgp('dalb' ,dalb ,NHOR,1) + call mpputgp('dsalb1',dsalb(1,:),NHOR,1) + call mpputgp('dsalb2',dsalb(2,:),NHOR,1) call mpputgp('dz0' ,dz0 ,NHOR,1) call mpputgp('dicec' ,dicec ,NHOR,1) call mpputgp('diced' ,diced ,NHOR,1) @@ -887,6 +889,8 @@ plasimversion = "https://github.com/Edilbert/PLASIM/ : 15-Dec-2015" call mpgetgp('dls' ,dls ,NHOR, 1) call mpgetgp('drhs' ,drhs ,NHOR, 1) call mpgetgp('dalb' ,dalb ,NHOR, 1) + call mpgetgp('dsalb1' ,dsalb(1,:),NHOR,1) + call mpgetgp('dsalb2' ,dsalb(2,:),NHOR,1) call mpgetgp('dz0' ,dz0 ,NHOR, 1) call mpgetgp('dicec' ,dicec ,NHOR, 1) call mpgetgp('diced' ,diced ,NHOR, 1) diff --git a/plasim/src/plasimmod.f90 b/plasim/src/plasimmod.f90 index 56f9346..a2d6262 100644 --- a/plasim/src/plasimmod.f90 +++ b/plasim/src/plasimmod.f90 @@ -329,6 +329,15 @@ ! ************* real :: dalb(NHOR) ! albedo + real :: dsalb(2,NHOR) ! spectral weighted albedo + real :: dsnowalb(2) = 0.6 ! spectral weighted snow albedo + real :: dgroundalb(2) = 0.2 ! spectral weighted ground albedo + real :: doceanalb(2) = 0.069 ! spectral weighted ocean albedo + real :: dsnowalbmx(2) = 0.8 + real :: dsnowalbmn(2) = 0.4 + real :: dicealbmx(2) = 0.7 + real :: dicealbmn(2) = 0.5 + real :: dglacalbmn(2) = 0.6 real :: dswfl(NHOR,NLEP) ! net solar radiation real :: dlwfl(NHOR,NLEP) ! net thermal radiation real :: dflux(NHOR,NLEP) ! net radiation (SW + LW) @@ -466,6 +475,8 @@ real :: aadls(NHOR) = 0. real :: aadz0(NHOR) = 0. real :: aadalb(NHOR) = 0. + real :: aadsalb1(NHOR) = 0. + real :: aadsalb2(NHOR) = 0. real :: aadtsoil(NHOR) = 0. real :: aadtd2(NHOR) = 0. real :: aadtd3(NHOR) = 0. diff --git a/plasim/src/radmod.f90 b/plasim/src/radmod.f90 index e971c7e..9c33835 100644 --- a/plasim/src/radmod.f90 +++ b/plasim/src/radmod.f90 @@ -10,7 +10,7 @@ ! !* 2.0) version identifier (date) ! - character(len=80) :: version = '27.09.2006 by Larry' + character(len=80) :: rversion = '23.09.2019 by Adiv' ! !* 2.1) constant parameters ! @@ -74,8 +74,8 @@ real :: gmu1(NHOR) ! cosine of solar zenit angle real :: dqo3(NHOR,NLEV) = 0.0 ! ozon concentration (kg/kg) real :: dqco2(NHOR,NLEV) = 0.0 ! co2 concentration (ppmv) - real :: dtdtlwr(NHOR,NLEV) ! lwr temperature tendencies - real :: dtdtswr(NHOR,NLEV) ! swr temperature tendencies +! real :: dtdtlwr(NHOR,NLEV) ! lwr temperature tendencies (now in pumamod) +! real :: dtdtswr(NHOR,NLEV) ! swr temperature tendencies (now in pumamod) real, allocatable :: dqo3cl(:,:,:) ! climatological O3 (used if NO3=2) @@ -133,17 +133,10 @@ ! SUBROUTINE SOLARINI ! =================== -! -! Spectral snow reflectance sourced from the ECOSTRESS spectral library (JPL,JHU,USGS): -! -! Meerdink, S. K., Hook, S. J., Abbott, E.A., & Roberts, D.A. (in prep). -! The ECOSTRESS Spectral Library 1.0. -! Baldridge, A. M., S.J. Hook, C.I. Grove and G. Rivera, 2009.. -! The ASTER Spectral Library Version 2.0. Remote Sensing of Environment, vol 113, pp. 711-715 -! subroutine solarini use radmod - + use specblock + ! parameter(planckh = 6.62607004e-34) ! parameter(boltzk = 1.38064852e-23 ) ! parameter(cc = 299792458.0 ) @@ -159,445 +152,6 @@ real dl1,dl2,hinge,const1,const2,z1,z2,znet,wmin,lwmin integer k - - real :: snowalbedos(965) = 0.0 !Combined snow spectral albedos - - real :: wavelengths(965) = (/0.3400,0.3500,0.3600,0.3700,0.3800,0.3900,0.4000,0.4100,0.4200, & - & 0.4300,0.4400,0.4500,0.4600,0.4700,0.4800,0.4900,0.5000,0.5100, & - & 0.5200,0.5300,0.5400,0.5500,0.5600,0.5700,0.5800,0.5900,0.6000, & - & 0.6100,0.6200,0.6300,0.6400,0.6500,0.6600,0.6700,0.6800,0.6900, & - & 0.7000,0.7100,0.7200,0.7300,0.7400,0.7500,0.7600,0.7700,0.7800, & - & 0.7900,0.8000,0.8200,0.8400,0.8600,0.8800,0.9000,0.9200,0.9400, & - & 0.9600,0.9800,1.0000,1.0200,1.0400,1.0600,1.0800,1.1000,1.1200, & - & 1.1400,1.1600,1.1800,1.2000,1.2200,1.2400,1.2600,1.2800,1.3000, & - & 1.3200,1.3400,1.3600,1.3800,1.4000,1.4200,1.4400,1.4600,1.4800, & - & 1.5000,1.5200,1.5400,1.5600,1.5800,1.6000,1.6200,1.6400,1.6600, & - & 1.6800,1.7000,1.7200,1.7400,1.7600,1.7800,1.8000,1.8200,1.8400, & - & 1.8600,1.8800,1.9000,1.9200,1.9400,1.9600,1.9800,2.0000,2.0200, & - & 2.0400,2.0600,2.0800,2.1000,2.1200,2.1400,2.1600,2.1800,2.2000, & - & 2.2200,2.2400,2.2500,2.2600,2.2700,2.2800,2.2900,2.3000,2.3100, & - & 2.3200,2.3300,2.3400,2.3500,2.3600,2.3700,2.3800,2.3900,2.4000, & - & 2.4100,2.4200,2.4300,2.4400,2.4500,2.4600,2.4700,2.4800,2.4900, & - & 2.5000,2.5100,2.5200,2.5300,2.5400,2.5500,2.5600,2.5700,2.5800, & - & 2.5900,2.6000,2.6100,2.6200,2.6300,2.6400,2.6500,2.6600,2.6700, & - & 2.6800,2.6900,2.7000,2.7100,2.7200,2.7300,2.7400,2.7500,2.7600, & - & 2.7700,2.7800,2.7900,2.8000,2.8100,2.8200,2.8300,2.8400,2.8500, & - & 2.8600,2.8700,2.8800,2.8900,2.9000,2.9100,2.9200,2.9300,2.9400, & - & 2.9500,2.9600,2.9700,2.9800,2.9900,3.0000,3.0100,3.0200,3.0300, & - & 3.0400,3.0500,3.0600,3.0700,3.0800,3.0900,3.1000,3.1100,3.1200, & - & 3.1300,3.1400,3.1500,3.1600,3.1700,3.1800,3.1900,3.2000,3.2100, & - & 3.2200,3.2300,3.2400,3.2500,3.2600,3.2700,3.2800,3.2900,3.3000, & - & 3.3100,3.3200,3.3300,3.3400,3.3500,3.3600,3.3700,3.3800,3.3900, & - & 3.4000,3.4100,3.4200,3.4300,3.4400,3.4500,3.4600,3.4700,3.4800, & - & 3.4900,3.5000,3.5100,3.5200,3.5300,3.5400,3.5500,3.5600,3.5700, & - & 3.5800,3.5900,3.6000,3.6100,3.6200,3.6300,3.6400,3.6500,3.6600, & - & 3.6700,3.6800,3.6900,3.7000,3.7100,3.7200,3.7300,3.7400,3.7500, & - & 3.7600,3.7700,3.7800,3.7900,3.8000,3.8100,3.8200,3.8300,3.8400, & - & 3.8500,3.8600,3.8700,3.8800,3.8900,3.9000,3.9100,3.9200,3.9300, & - & 3.9400,3.9500,3.9600,3.9700,3.9800,3.9900,4.0000,4.0100,4.0200, & - & 4.0300,4.0400,4.0500,4.0600,4.0700,4.0800,4.0900,4.1000,4.1100, & - & 4.1200,4.1300,4.1400,4.1500,4.1600,4.1700,4.1800,4.1900,4.2000, & - & 4.2100,4.2200,4.2300,4.2400,4.2500,4.2600,4.2700,4.2800,4.2900, & - & 4.3000,4.3100,4.3200,4.3300,4.3400,4.3500,4.3600,4.3700,4.3800, & - & 4.3900,4.4000,4.4100,4.4200,4.4300,4.4400,4.4500,4.4600,4.4700, & - & 4.4800,4.4900,4.5000,4.5100,4.5200,4.5300,4.5400,4.5500,4.5600, & - & 4.5700,4.5800,4.5900,4.6000,4.6100,4.6200,4.6300,4.6400,4.6500, & - & 4.6600,4.6700,4.6800,4.6900,4.7000,4.7100,4.7200,4.7300,4.7400, & - & 4.7500,4.7600,4.7700,4.7800,4.7900,4.8000,4.8100,4.8200,4.8300, & - & 4.8400,4.8500,4.8600,4.8700,4.8800,4.8900,4.9000,4.9100,4.9200, & - & 4.9300,4.9400,4.9500,4.9600,4.9700,4.9800,4.9900,5.0000,5.0100, & - & 5.0200,5.0300,5.0400,5.0500,5.0600,5.0700,5.0800,5.0900,5.1000, & - & 5.1100,5.1200,5.1300,5.1400,5.1500,5.1600,5.1700,5.1800,5.1900, & - & 5.2000,5.2100,5.2200,5.2300,5.2400,5.2500,5.2600,5.2700,5.2800, & - & 5.2900,5.3000,5.3100,5.3200,5.3300,5.3400,5.3500,5.3600,5.3700, & - & 5.3800,5.3900,5.4000,5.4100,5.4200,5.4300,5.4400,5.4500,5.4600, & - & 5.4700,5.4800,5.4900,5.5000,5.5100,5.5200,5.5300,5.5400,5.5500, & - & 5.5600,5.5700,5.5800,5.5900,5.6000,5.6100,5.6200,5.6300,5.6400, & - & 5.6500,5.6600,5.6700,5.6800,5.6900,5.7000,5.7100,5.7200,5.7300, & - & 5.7400,5.7500,5.7600,5.7700,5.7800,5.7900,5.8000,5.8100,5.8200, & - & 5.8300,5.8400,5.8500,5.8600,5.8700,5.8800,5.8900,5.9000,5.9100, & - & 5.9200,5.9300,5.9400,5.9500,5.9600,5.9700,5.9800,5.9900,6.0000, & - & 6.0100,6.0200,6.0300,6.0400,6.0500,6.0600,6.0700,6.0800,6.0900, & - & 6.1000,6.1100,6.1200,6.1300,6.1400,6.1500,6.1600,6.1700,6.1800, & - & 6.1900,6.2000,6.2100,6.2200,6.2300,6.2400,6.2500,6.2600,6.2700, & - & 6.2800,6.2900,6.3000,6.3100,6.3200,6.3300,6.3400,6.3500,6.3600, & - & 6.3700,6.3800,6.3900,6.4000,6.4100,6.4200,6.4300,6.4400,6.4500, & - & 6.4600,6.4700,6.4800,6.4900,6.5000,6.5100,6.5200,6.5300,6.5400, & - & 6.5500,6.5600,6.5700,6.5800,6.5900,6.6000,6.6100,6.6200,6.6300, & - & 6.6400,6.6500,6.6600,6.6700,6.6800,6.6900,6.7000,6.7100,6.7200, & - & 6.7300,6.7400,6.7500,6.7600,6.7700,6.7800,6.7900,6.8000,6.8100, & - & 6.8200,6.8300,6.8400,6.8500,6.8600,6.8700,6.8800,6.8900,6.9000, & - & 6.9100,6.9200,6.9300,6.9400,6.9500,6.9600,6.9700,6.9800,6.9900, & - & 7.0000,7.0100,7.0200,7.0300,7.0400,7.0500,7.0600,7.0700,7.0800, & - & 7.0900,7.1000,7.1100,7.1200,7.1300,7.1400,7.1500,7.1600,7.1700, & - & 7.1800,7.1900,7.2000,7.2100,7.2200,7.2300,7.2400,7.2500,7.2600, & - & 7.2700,7.2800,7.2900,7.3000,7.3100,7.3200,7.3300,7.3400,7.3500, & - & 7.3600,7.3700,7.3800,7.4000,7.4100,7.4200,7.4300,7.4400,7.4500, & - & 7.4600,7.4700,7.4800,7.4900,7.5000,7.5100,7.5200,7.5400,7.5500, & - & 7.5600,7.5700,7.5800,7.5900,7.6000,7.6100,7.6200,7.6300,7.6500, & - & 7.6600,7.6700,7.6800,7.6900,7.7000,7.7100,7.7300,7.7400,7.7500, & - & 7.7600,7.7700,7.7800,7.8000,7.8100,7.8200,7.8300,7.8400,7.8500, & - & 7.8700,7.8800,7.8900,7.9000,7.9100,7.9300,7.9400,7.9500,7.9600, & - & 7.9800,7.9900,8.0000,8.0100,8.0300,8.0400,8.0500,8.0600,8.0800, & - & 8.0900,8.1000,8.1100,8.1300,8.1400,8.1500,8.1600,8.1800,8.1900, & - & 8.2000,8.2200,8.2300,8.2400,8.2600,8.2700,8.2800,8.2900,8.3100, & - & 8.3200,8.3300,8.3500,8.3600,8.3800,8.3900,8.4000,8.4200,8.4300, & - & 8.4400,8.4600,8.4700,8.4800,8.5000,8.5100,8.5300,8.5400,8.5500, & - & 8.5700,8.5800,8.6000,8.6100,8.6300,8.6400,8.6500,8.6700,8.6800, & - & 8.7000,8.7100,8.7300,8.7400,8.7600,8.7700,8.7900,8.8000,8.8200, & - & 8.8300,8.8500,8.8600,8.8800,8.8900,8.9100,8.9200,8.9400,8.9500, & - & 8.9700,8.9800,9.0000,9.0200,9.0300,9.0500,9.0600,9.0800,9.1000, & - & 9.1100,9.1300,9.1400,9.1600,9.1800,9.1900,9.2100,9.2200,9.2400, & - & 9.2600,9.2700,9.2900,9.3100,9.3200,9.3400,9.3600,9.3700,9.3900, & - & 9.4100,9.4300,9.4400,9.4600,9.4800,9.4900,9.5100,9.5300,9.5500, & - & 9.5600,9.5800,9.6000,9.6200,9.6400,9.6500,9.6700,9.6900,9.7100, & - & 9.7300,9.7400,9.7600,9.7800,9.8000,9.8200,9.8400,9.8600,9.8700, & - & 9.8900,9.9100,9.9300,9.9500,9.9700,9.9900,10.0100,10.0300,10.0500, & - & 10.0700,10.0900,10.1100,10.1300,10.1500,10.1700,10.1800,10.2100,10.2300, & - & 10.2500,10.2700,10.2900,10.3100,10.3300,10.3500,10.3700,10.3900,10.4100, & - & 10.4300,10.4500,10.4700,10.4900,10.5200,10.5400,10.5600,10.5800,10.6000, & - & 10.6200,10.6500,10.6700,10.6900,10.7100,10.7300,10.7600,10.7800,10.8000, & - & 10.8200,10.8500,10.8700,10.8900,10.9100,10.9400,10.9600,10.9800,11.0100, & - & 11.0300,11.0500,11.0800,11.1000,11.1200,11.1500,11.1700,11.2000,11.2200, & - & 11.2500,11.2700,11.2900,11.3200,11.3400,11.3700,11.3900,11.4200,11.4400, & - & 11.4700,11.4900,11.5200,11.5500,11.5700,11.6000,11.6200,11.6500,11.6800, & - & 11.7000,11.7300,11.7600,11.7800,11.8100,11.8400,11.8600,11.8900,11.9200, & - & 11.9500,11.9700,12.0000,12.0300,12.0600,12.0800,12.1100,12.1400,12.1700, & - & 12.2000,12.2300,12.2600,12.2800,12.3100,12.3400,12.3700,12.4000,12.4300, & - & 12.4600,12.4900,12.5200,12.5500,12.5800,12.6100,12.6400,12.6800,12.7100, & - & 12.7400,12.7700,12.8000,12.8300,12.8600,12.9000,12.9300,12.9600,12.9900, & - & 13.0300,13.0600,13.0900,13.1200,13.1600,13.1900,13.2200,13.2600,13.2900, & - & 13.3300,13.3600,13.4000,13.4300,13.4700,13.5000,13.5400,13.5700,13.6100, & - & 13.6400,13.6800,13.7100,13.7500,13.7900,13.8200,13.8600,13.9000,13.9400, & - & 13.9700,14.0100/) - - real :: csnowalb(965) = (/96.0980,96.2900,96.4230,96.5490,96.7270,96.8430,96.9870,97.1520,97.2650, & - & 97.4450,97.5050,97.8490,97.9080,97.8730,97.7810,97.7360,97.6340,97.5820, & - & 97.5280,97.4620,97.2960,97.1630,97.1230,97.0590,96.8980,96.7230,96.3570, & - & 95.5080,95.6910,95.2990,94.9000,94.5670,94.2170,93.6110,93.6190,93.1990, & - & 92.5050,92.0360,91.5250,91.2130,90.6720,89.9820,89.1350,88.1980,87.0520, & - & 86.4820,85.8460,85.2430,85.2360,82.8540,79.3290,77.3930,76.2460,74.9770, & - & 71.6990,67.0850,60.8970,57.4940,57.1240,60.0210,62.2260,62.7290,61.9590, & - & 59.0470,54.5580,47.3760,41.5390,34.0440,31.5480,30.3300,30.5110,30.8370, & - & 31.1360,31.2110,30.2540,28.7190,25.1350,11.2590,2.3120,1.0520,0.6190, & - & 0.5090,0.5610,0.6340,0.8010,1.0100,1.1870,1.4250,1.8840,2.4420, & - & 3.0950,3.7230,4.2260,4.7940,5.3750,6.1670,7.0920,8.1850,9.2150, & - & 7.5990,3.0310,1.2170,0.5350,0.3380,0.2420,0.2040,0.2000,0.2070, & - & 0.2260,0.2610,0.3140,0.4210,0.6530,1.0260,1.4710,1.9870,2.6210, & - & 3.3170,3.6960,3.6770,3.5800,3.3610,3.0840,2.7980,2.5400,2.3020, & - & 2.1370,2.0200,1.9140,1.8110,1.7500,1.7000,1.6820,1.6370,1.6010, & - & 1.6030,1.5740,1.5560,1.5080,1.4980,1.4850,1.4660,1.4530,1.4370, & - & 1.3800,1.3590,1.3670,1.3510,1.3070,1.3150,1.3290,1.2940,1.3010, & - & 1.2920,1.2700,1.2390,1.2150,1.1570,1.1370,1.0880,1.0650,1.0010, & - & 0.9250,0.8920,0.8090,0.7620,0.7060,0.6460,0.6050,0.5840,0.5840, & - & 0.5250,0.4850,0.4820,0.4300,0.4150,0.4000,0.3990,0.3940,0.4130, & - & 0.4420,0.4660,0.5250,0.6480,0.7990,0.9970,1.1950,1.4360,1.7020, & - & 1.9030,2.0990,2.2790,2.4280,2.6390,2.8780,3.2290,3.6490,4.1500, & - & 4.6890,5.3580,5.9130,6.4650,6.7620,6.8220,6.6880,6.3590,6.0790, & - & 5.8940,5.7770,5.7110,5.6730,5.6280,5.5760,5.4410,5.3060,5.0970, & - & 4.8930,4.6840,4.4740,4.3040,4.1440,3.9930,3.8770,3.7490,3.6490, & - & 3.5630,3.4740,3.3850,3.3020,3.2380,3.2010,3.1450,3.0470,2.9840, & - & 2.9590,2.9320,2.8880,2.8330,2.7710,2.7260,2.7030,2.6570,2.6100, & - & 2.5860,2.5670,2.5300,2.4780,2.4840,2.4590,2.4290,2.4070,2.3850, & - & 2.3810,2.3670,2.3480,2.3140,2.2960,2.3010,2.2700,2.2490,2.2400, & - & 2.2150,2.2070,2.1990,2.1840,2.1490,2.1610,2.1580,2.1240,2.1190, & - & 2.1150,2.0950,2.0830,2.0800,2.0720,2.0540,2.0460,2.0490,2.0530, & - & 2.0370,2.0050,2.0050,2.0090,1.9850,1.9670,1.9620,1.9640,1.9610, & - & 1.9600,1.9560,1.9350,1.9280,1.9290,1.9230,1.9240,1.9160,1.9020, & - & 1.9000,1.8830,1.8570,1.8670,1.8880,1.8740,1.8520,1.8570,1.8600, & - & 1.8480,1.8440,1.8440,1.8340,1.8330,1.8320,1.8230,1.8330,1.8350, & - & 1.8120,1.7980,1.8020,1.8090,1.8040,1.8010,1.7990,1.7940,1.7950, & - & 1.8000,1.7930,1.7810,1.7830,1.7940,1.7940,1.7850,1.7820,1.7790, & - & 1.7830,1.7910,1.7960,1.7980,1.7830,1.7810,1.8070,1.8270,1.8230, & - & 1.8150,1.8170,1.8190,1.8160,1.8190,1.8280,1.8320,1.8340,1.8400, & - & 1.8420,1.8410,1.8420,1.8430,1.8510,1.8640,1.8700,1.8700,1.8640, & - & 1.8570,1.8520,1.8490,1.8490,1.8510,1.8480,1.8370,1.8250,1.8230, & - & 1.8230,1.8150,1.8110,1.8190,1.8290,1.8220,1.8090,1.8030,1.8010, & - & 1.7990,1.7970,1.7950,1.7920,1.7880,1.7870,1.7880,1.7850,1.7800, & - & 1.7810,1.7860,1.7840,1.7740,1.7640,1.7540,1.7450,1.7420,1.7430, & - & 1.7470,1.7490,1.7440,1.7360,1.7330,1.7330,1.7300,1.7210,1.7080, & - & 1.7010,1.7060,1.7150,1.7100,1.6950,1.6830,1.6830,1.6840,1.6770, & - & 1.6630,1.6550,1.6510,1.6510,1.6530,1.6560,1.6580,1.6530,1.6460, & - & 1.6440,1.6440,1.6400,1.6270,1.6190,1.6260,1.6360,1.6430,1.6390, & - & 1.6260,1.6110,1.6010,1.5920,1.5860,1.5840,1.5800,1.5730,1.5650, & - & 1.5600,1.5570,1.5580,1.5670,1.5740,1.5710,1.5530,1.5360,1.5320, & - & 1.5360,1.5390,1.5360,1.5280,1.5170,1.5120,1.5140,1.5180,1.5150, & - & 1.5040,1.4940,1.4920,1.4940,1.4890,1.4740,1.4590,1.4550,1.4630, & - & 1.4700,1.4680,1.4620,1.4600,1.4640,1.4730,1.4820,1.4830,1.4770, & - & 1.4720,1.4710,1.4730,1.4700,1.4620,1.4490,1.4370,1.4350,1.4400, & - & 1.4520,1.4610,1.4640,1.4660,1.4710,1.4820,1.4940,1.4990,1.4970, & - & 1.4940,1.4940,1.4950,1.4970,1.4980,1.5050,1.5200,1.5370,1.5500, & - & 1.5560,1.5570,1.5550,1.5540,1.5510,1.5490,1.5500,1.5540,1.5590, & - & 1.5660,1.5710,1.5740,1.5750,1.5740,1.5710,1.5700,1.5750,1.5830, & - & 1.5970,1.6070,1.6080,1.6050,1.6020,1.6020,1.6050,1.6130,1.6200, & - & 1.6220,1.6170,1.6060,1.5980,1.5940,1.6020,1.6240,1.6410,1.6550, & - & 1.6640,1.6640,1.6630,1.6640,1.6650,1.6650,1.6610,1.6570,1.6540, & - & 1.6540,1.6610,1.6690,1.6770,1.6820,1.6840,1.6810,1.6780,1.6770, & - & 1.6780,1.6820,1.6870,1.6900,1.6920,1.6950,1.6990,1.7030,1.7040, & - & 1.6990,1.6930,1.6870,1.6820,1.6780,1.6740,1.6690,1.6640,1.6600, & - & 1.6580,1.6570,1.6600,1.6650,1.6730,1.6810,1.6900,1.6920,1.6900, & - & 1.6870,1.6830,1.6810,1.6800,1.6800,1.6820,1.6860,1.6890,1.6930, & - & 1.6950,1.6950,1.6930,1.6900,1.6890,1.6890,1.6890,1.6870,1.6820, & - & 1.6760,1.6690,1.6640,1.6620,1.6640,1.6680,1.6730,1.6750,1.6740, & - & 1.6710,1.6660,1.6610,1.6580,1.6550,1.6520,1.6490,1.6470,1.6470, & - & 1.6470,1.6460,1.6430,1.6390,1.6330,1.6260,1.6210,1.6170,1.6150, & - & 1.6140,1.6140,1.6160,1.6190,1.6250,1.6290,1.6300,1.6250,1.6140, & - & 1.5980,1.5800,1.5670,1.5620,1.5660,1.5770,1.5900,1.5990,1.6010, & - & 1.5960,1.5850,1.5730,1.5620,1.5550,1.5520,1.5530,1.5550,1.5580, & - & 1.5590,1.5570,1.5530,1.5490,1.5460,1.5440,1.5450,1.5460,1.5470, & - & 1.5470,1.5460,1.5460,1.5450,1.5450,1.5440,1.5430,1.5380,1.5330, & - & 1.5260,1.5220,1.5200,1.5230,1.5280,1.5320,1.5340,1.5330,1.5310, & - & 1.5290,1.5300,1.5330,1.5360,1.5390,1.5390,1.5380,1.5360,1.5330, & - & 1.5290,1.5260,1.5240,1.5250,1.5300,1.5370,1.5450,1.5510,1.5530, & - & 1.5500,1.5450,1.5390,1.5320,1.5250,1.5180,1.5120,1.5090,1.5100, & - & 1.5140,1.5190,1.5240,1.5260,1.5260,1.5250,1.5230,1.5240,1.5260, & - & 1.5280,1.5270,1.5210,1.5110,1.4970,1.4830,1.4720,1.4660,1.4650, & - & 1.4680,1.4740,1.4800,1.4850,1.4880,1.4900,1.4900,1.4900,1.4900, & - & 1.4880,1.4850,1.4790,1.4720,1.4660,1.4620,1.4620,1.4650,1.4710, & - & 1.4750,1.4730,1.4660,1.4560,1.4480,1.4460,1.4510,1.4620,1.4700, & - & 1.4700,1.4610,1.4450,1.4260,1.4110,1.4050,1.4060,1.4120,1.4180, & - & 1.4230,1.4230,1.4210,1.4180,1.4140,1.4090,1.4040,1.3970,1.3900, & - & 1.3840,1.3790,1.3740,1.3690,1.3610,1.3510,1.3420,1.3330,1.3270, & - & 1.3230,1.3210,1.3160,1.3080,1.2980,1.2830,1.2660,1.2470,1.2300, & - & 1.2160,1.2090,1.2070,1.2110,1.2160,1.2170,1.2110,1.2000,1.1820, & - & 1.1610,1.1390,1.1170,1.0970,1.0790,1.0630,1.0490,1.0380,1.0280, & - & 1.0190,1.0080,0.9950,0.9810,0.9660,0.9530,0.9430,0.9340,0.9280, & - & 0.9220,0.9190,0.9150,0.9090,0.9000,0.8860,0.8660,0.8400,0.8130, & - & 0.7900,0.7760,0.7710,0.7730,0.7780,0.7790,0.7760,0.7680,0.7580, & - & 0.7520,0.7520,0.7560,0.7630,0.7730,0.7870,0.8020,0.8210,0.8450, & - & 0.8730,0.9050,0.9410,0.9840,1.0310,1.0810,1.1290,1.1760,1.2210, & - & 1.2650,1.3120,1.3630,1.4180,1.4750,1.5310,1.5880,1.6460,1.7070, & - & 1.7710,1.8370,1.9030,1.9660,2.0250,2.0820,2.1390,2.1980,2.2590, & - & 2.3200,2.3810,2.4400,2.4950,2.5490,2.6030,2.6580,2.7140,2.7720, & - & 2.8310,2.8910,2.9500,3.0030,3.0490,3.0880,3.1210,3.1510,3.1840, & - & 3.2200,3.2600,3.3040,3.3480,3.3930,3.4370,3.4820,3.5280,3.5770, & - & 3.6290,3.6840,3.7400,3.7950,3.8480,3.8950,3.9400,3.9830,4.0240, & - & 4.0640,4.1060,4.1460,4.1840,4.2180,4.2480,4.2750,4.2960,4.3130, & - & 4.3300,4.3470,4.3670,4.3890,4.4130,4.4390,4.4630,4.4850,4.5050, & - & 4.5230,4.5360,4.5420,4.5400,4.5330,4.5250,4.5190,4.5170,4.5200, & - & 4.5230,4.5240,4.5230,4.5190,4.5110,4.5000,4.4850,4.4660,4.4440, & - & 4.4260,4.4210,4.4280,4.4450,4.4640,4.4760,4.4770,4.4660,4.4490, & - & 4.4310,4.4120,4.3870,4.3540,4.3120,4.2670,4.2260,4.1950,4.1810, & - & 4.1740,4.1600 /) - - real :: msnowalb(965) = (/97.3810,97.4320,97.5420,97.6360,97.8130,97.8360,97.9740,98.0590,98.2080, & - & 98.2900,98.3790,98.5380,98.5360,98.5780,98.5650,98.5220,98.4490,98.3590, & - & 98.3240,98.2340,98.1110,98.1510,98.0970,98.0130,97.9010,97.6920,97.5250, & - & 97.2970,97.0760,96.8090,96.5850,95.9750,96.0250,95.7930,95.6150,95.3290, & - & 94.9490,94.5520,94.1700,93.9720,93.6170,93.0600,92.4990,91.8540,91.1910, & - & 90.3890,90.0660,89.9020,89.7670,88.0740,85.4770,83.9870,83.3810,82.3000, & - & 79.7740,76.1730,72.4830,68.6590,67.9870,70.8230,72.4330,72.8880,72.3670, & - & 70.0170,66.2320,60.1390,55.0300,48.2160,44.6580,44.5010,44.3870,44.9400, & - & 45.1580,45.0200,43.8600,42.6350,38.9960,21.5660,6.4470,3.2650,1.9890, & - & 1.6340,1.8050,2.0320,2.5540,3.1620,3.6430,4.2570,5.4520,6.7560, & - & 8.1060,9.4780,10.5090,11.7060,12.7990,13.9730,15.5850,17.2010,19.1400, & - & 16.5080,8.1560,3.7400,1.7400,1.0750,0.7150,0.5580,0.5410,0.5740, & - & 0.6560,0.7920,0.9950,1.3730,2.1160,3.1900,4.4140,5.6970,7.0460, & - & 8.6660,9.6390,9.5940,9.1440,8.3630,7.3170,6.2050,5.2290,4.4140, & - & 3.7100,3.2060,2.8250,2.5330,2.3520,2.2160,2.1170,2.0610,1.9720, & - & 1.9510,1.8750,1.8350,1.8090,1.7320,1.6840,1.6250,1.5760,1.5420, & - & 1.5030,1.4790,1.4690,1.4600,1.4210,1.4290,1.4430,1.4510,1.4390, & - & 1.4190,1.3970,1.3610,1.3150,1.2530,1.1880,1.1020,1.0230,0.9270, & - & 0.8490,0.7560,0.6740,0.5800,0.5480,0.5070,0.4470,0.4310,0.4230, & - & 0.3880,0.3780,0.3570,0.3310,0.3130,0.3040,0.2910,0.2740,0.2760, & - & 0.2910,0.3120,0.3660,0.4360,0.5410,0.6910,0.8110,0.9300,1.0700, & - & 1.1630,1.2620,1.3780,1.4420,1.5570,1.6740,1.8370,2.0640,2.3210, & - & 2.6550,3.0310,3.3710,3.6570,3.8060,3.7920,3.6440,3.4540,3.2730, & - & 3.1290,3.0500,3.0170,3.0000,2.9650,2.9180,2.8580,2.7630,2.6530, & - & 2.5330,2.4230,2.3380,2.2430,2.1580,2.0780,2.0320,1.9920,1.9490, & - & 1.9060,1.8750,1.8390,1.8180,1.8090,1.7800,1.7620,1.7490,1.7380, & - & 1.7240,1.6960,1.7000,1.7070,1.6810,1.6570,1.6590,1.6550,1.6480, & - & 1.6400,1.6310,1.6300,1.6200,1.6030,1.5890,1.5840,1.5840,1.5760, & - & 1.5690,1.5620,1.5500,1.5430,1.5420,1.5310,1.5110,1.5070,1.5110, & - & 1.5060,1.4940,1.4830,1.4660,1.4530,1.4590,1.4600,1.4450,1.4280, & - & 1.4170,1.4070,1.4000,1.3970,1.3890,1.3800,1.3740,1.3600,1.3470, & - & 1.3460,1.3450,1.3320,1.3170,1.3120,1.3110,1.3060,1.2990,1.2950, & - & 1.2900,1.2770,1.2670,1.2640,1.2550,1.2460,1.2460,1.2460,1.2390, & - & 1.2280,1.2160,1.2100,1.2100,1.2120,1.2090,1.2020,1.1930,1.1900, & - & 1.1910,1.1920,1.1920,1.1880,1.1860,1.1840,1.1750,1.1610,1.1510, & - & 1.1460,1.1450,1.1450,1.1460,1.1460,1.1440,1.1420,1.1410,1.1400, & - & 1.1380,1.1330,1.1280,1.1210,1.1150,1.1120,1.1120,1.1100,1.1080, & - & 1.1070,1.1070,1.1060,1.1080,1.1190,1.1280,1.1270,1.1200,1.1190, & - & 1.1250,1.1290,1.1280,1.1280,1.1320,1.1370,1.1430,1.1500,1.1570, & - & 1.1620,1.1660,1.1680,1.1700,1.1740,1.1800,1.1830,1.1830,1.1840, & - & 1.1840,1.1840,1.1810,1.1780,1.1760,1.1790,1.1850,1.1920,1.1950, & - & 1.1950,1.1910,1.1860,1.1830,1.1820,1.1830,1.1810,1.1770,1.1730, & - & 1.1710,1.1750,1.1830,1.1900,1.1930,1.1900,1.1820,1.1780,1.1780, & - & 1.1810,1.1830,1.1850,1.1870,1.1860,1.1810,1.1750,1.1720,1.1700, & - & 1.1710,1.1710,1.1710,1.1700,1.1670,1.1650,1.1620,1.1570,1.1520, & - & 1.1470,1.1450,1.1420,1.1370,1.1290,1.1210,1.1180,1.1170,1.1170, & - & 1.1140,1.1110,1.1070,1.1040,1.1020,1.1020,1.1020,1.0990,1.0950, & - & 1.0900,1.0850,1.0800,1.0760,1.0740,1.0730,1.0720,1.0720,1.0730, & - & 1.0720,1.0690,1.0640,1.0580,1.0520,1.0490,1.0490,1.0500,1.0480, & - & 1.0460,1.0430,1.0390,1.0320,1.0260,1.0200,1.0130,1.0080,1.0050, & - & 1.0040,1.0040,1.0050,1.0080,1.0100,1.0080,1.0020,0.9900,0.9820, & - & 0.9750,0.9700,0.9670,0.9630,0.9600,0.9560,0.9510,0.9450,0.9380, & - & 0.9340,0.9330,0.9340,0.9360,0.9360,0.9340,0.9300,0.9260,0.9220, & - & 0.9220,0.9260,0.9310,0.9350,0.9370,0.9340,0.9280,0.9190,0.9100, & - & 0.9040,0.8990,0.8970,0.8960,0.8960,0.8960,0.8980,0.9020,0.9060, & - & 0.9090,0.9090,0.9070,0.9000,0.8910,0.8850,0.8820,0.8840,0.8890, & - & 0.8930,0.8970,0.9000,0.9010,0.9030,0.9040,0.9050,0.9070,0.9070, & - & 0.9080,0.9090,0.9090,0.9110,0.9120,0.9130,0.9140,0.9150,0.9160, & - & 0.9170,0.9180,0.9190,0.9200,0.9220,0.9230,0.9240,0.9270,0.9280, & - & 0.9290,0.9300,0.9320,0.9340,0.9380,0.9460,0.9540,0.9590,0.9640, & - & 0.9690,0.9730,0.9750,0.9770,0.9800,0.9830,0.9850,0.9870,0.9890, & - & 0.9930,0.9950,0.9960,0.9970,0.9980,0.9970,0.9970,0.9960,0.9960, & - & 0.9960,0.9960,0.9970,0.9980,0.9990,1.0000,1.0010,1.0020,1.0010, & - & 1.0000,0.9980,0.9970,0.9950,0.9940,0.9930,0.9920,0.9900,0.9890, & - & 0.9880,0.9860,0.9850,0.9840,0.9850,0.9870,0.9930,0.9990,1.0030, & - & 1.0060,1.0090,1.0100,1.0100,1.0100,1.0100,1.0110,1.0130,1.0140, & - & 1.0170,1.0190,1.0200,1.0200,1.0180,1.0160,1.0130,1.0110,1.0110, & - & 1.0120,1.0150,1.0190,1.0230,1.0270,1.0300,1.0300,1.0300,1.0270, & - & 1.0240,1.0210,1.0170,1.0140,1.0120,1.0100,1.0080,1.0060,1.0030, & - & 1.0010,0.9980,0.9940,0.9910,0.9880,0.9860,0.9840,0.9820,0.9800, & - & 0.9790,0.9770,0.9760,0.9750,0.9730,0.9720,0.9710,0.9700,0.9690, & - & 0.9690,0.9680,0.9680,0.9670,0.9670,0.9660,0.9650,0.9630,0.9600, & - & 0.9580,0.9550,0.9530,0.9520,0.9510,0.9500,0.9500,0.9500,0.9500, & - & 0.9500,0.9510,0.9510,0.9520,0.9520,0.9520,0.9520,0.9510,0.9490, & - & 0.9470,0.9460,0.9440,0.9440,0.9440,0.9450,0.9470,0.9490,0.9510, & - & 0.9530,0.9540,0.9540,0.9540,0.9530,0.9510,0.9490,0.9480,0.9460, & - & 0.9440,0.9430,0.9410,0.9410,0.9410,0.9410,0.9410,0.9410,0.9400, & - & 0.9390,0.9380,0.9370,0.9360,0.9360,0.9370,0.9390,0.9420,0.9460, & - & 0.9490,0.9530,0.9580,0.9610,0.9630,0.9640,0.9630,0.9600,0.9560, & - & 0.9500,0.9430,0.9350,0.9280,0.9220,0.9180,0.9160,0.9160,0.9170, & - & 0.9200,0.9230,0.9260,0.9270,0.9260,0.9230,0.9190,0.9140,0.9100, & - & 0.9060,0.9020,0.9010,0.8990,0.8990,0.8980,0.8980,0.8990,0.9000, & - & 0.9010,0.9010,0.9020,0.9030,0.9020,0.9010,0.8990,0.8970,0.8950, & - & 0.8940,0.8930,0.8920,0.8910,0.8900,0.8890,0.8880,0.8870,0.8870, & - & 0.8860,0.8860,0.8840,0.8820,0.8770,0.8710,0.8630,0.8540,0.8460, & - & 0.8400,0.8350,0.8330,0.8350,0.8380,0.8430,0.8500,0.8570,0.8630, & - & 0.8670,0.8690,0.8680,0.8640,0.8580,0.8500,0.8410,0.8310,0.8210, & - & 0.8110,0.8030,0.7960,0.7900,0.7840,0.7790,0.7750,0.7700,0.7650, & - & 0.7600,0.7530,0.7460,0.7370,0.7260,0.7160,0.7060,0.6970,0.6910, & - & 0.6860,0.6830,0.6810,0.6800,0.6770,0.6730,0.6650,0.6560,0.6440, & - & 0.6320,0.6190,0.6080,0.5980,0.5900,0.5840,0.5790,0.5750,0.5710, & - & 0.5670,0.5600,0.5520,0.5420,0.5320,0.5210,0.5110,0.5020,0.4960, & - & 0.4910,0.4870,0.4840,0.4820,0.4790,0.4760,0.4730,0.4710,0.4700, & - & 0.4710,0.4740,0.4790,0.4860,0.4960,0.5080,0.5230,0.5400,0.5590, & - & 0.5790,0.5990,0.6200,0.6410,0.6630,0.6860,0.7110,0.7380,0.7680, & - & 0.7990,0.8330,0.8670,0.9010,0.9350,0.9680,1.0010,1.0330,1.0650, & - & 1.0970,1.1290,1.1620,1.1940,1.2270,1.2590,1.2910,1.3230,1.3550, & - & 1.3860,1.4170,1.4450,1.4730,1.4980,1.5220,1.5440,1.5650,1.5850, & - & 1.6060,1.6270,1.6470,1.6680,1.6900,1.7120,1.7350,1.7580,1.7810, & - & 1.8040,1.8270,1.8480,1.8700,1.8900,1.9100,1.9290,1.9470,1.9640, & - & 1.9810,1.9980,2.0150,2.0310,2.0490,2.0670,2.0850,2.1030,2.1210, & - & 2.1390,2.1550,2.1710,2.1870,2.2030,2.2180,2.2330,2.2480,2.2620, & - & 2.2740,2.2850,2.2960,2.3040,2.3120,2.3180,2.3220,2.3260,2.3300, & - & 2.3340,2.3390,2.3460,2.3540,2.3630,2.3720,2.3800,2.3860,2.3890, & - & 2.3890,2.3860,2.3810,2.3750,2.3680,2.3620,2.3560,2.3510,2.3460, & - & 2.3420,2.3390,2.3360,2.3340,2.3330,2.3310,2.3290,2.3260,2.3220, & - & 2.3180,2.3130,2.3100,2.3090,2.3080,2.3090,2.3080,2.3040,2.2960, & - & 2.2810,2.2600 /) - - real :: fsnowalb(965) = (/98.5210,98.6350,98.6700,98.7120,98.7790,98.8680,98.8450,98.9540,98.9610, & - & 99.0500,99.1250,99.2070,99.2820,99.2250,99.1880,99.2370,99.0990,99.1030, & - & 99.1020,99.1160,98.9910,98.9690,98.9930,98.9200,98.8790,98.7640,98.6570, & - & 98.5730,98.3690,98.2560,98.1060,97.7940,97.7790,97.7460,97.6460,97.4890, & - & 96.7700,97.0330,96.7160,96.6300,96.2220,95.9270,95.4900,95.5320,95.1660, & - & 94.6110,94.6240,94.5270,94.3100,93.3850,91.5990,91.2340,90.6630,90.1130, & - & 88.4780,86.1840,83.8720,82.0690,81.4550,83.1620,82.1010,84.7800,84.4700, & - & 82.9290,80.1690,75.9630,65.0150,67.5290,65.9010,64.8110,64.6430,65.2040, & - & 63.2540,65.8620,65.4960,64.2190,60.9990,44.1790,20.6330,13.9170,9.8620, & - & 8.5270,9.1870,9.9920,11.9100,13.6980,15.3350,16.5310,20.2890,20.9180, & - & 24.5220,28.3510,28.3660,29.4560,32.7410,35.2040,36.9860,38.7430,40.9240, & - & 37.5480,24.9240,15.3950,9.0950,6.2970,4.4940,3.6270,3.5060,3.6890, & - & 4.2150,5.0350,6.1990,8.1690,11.1840,13.9240,17.5410,20.1650,22.8010, & - & 26.3190,28.3300,27.8650,26.8480,25.0320,22.5830,19.9560,17.5520,15.3820, & - & 13.3700,11.7490,10.4760,9.5200,8.8530,8.3410,8.0240,7.7990,7.6360, & - & 7.4400,7.2310,6.9970,6.7890,6.5870,6.3510,6.1360,5.9150,5.7040, & - & 5.5560,5.4300,5.3400,5.2720,5.2760,5.2940,5.3000,5.3570,5.3790, & - & 5.2740,5.2360,5.1410,4.9320,4.6360,4.4280,4.0220,3.5180,2.8720, & - & 2.3400,1.7760,1.3320,0.9540,0.6770,0.5140,0.3780,0.3210,0.2640, & - & 0.2400,0.2350,0.2140,0.1900,0.1930,0.1480,0.1660,0.1710,0.1600, & - & 0.2100,0.1690,0.2100,0.2460,0.3040,0.3370,0.4280,0.5060,0.5860, & - & 0.6630,0.7190,0.7860,0.7970,0.8760,0.9160,1.0290,1.1780,1.2890, & - & 1.4920,1.7850,2.0290,2.3160,2.5890,2.7750,2.7460,2.5550,2.3160, & - & 2.1490,2.0570,2.0130,2.0030,2.0260,2.0420,2.0510,1.9820,1.9340, & - & 1.8640,1.7710,1.7000,1.6370,1.5850,1.5150,1.4780,1.4190,1.3810, & - & 1.3340,1.3090,1.3030,1.2660,1.2370,1.2160,1.2230,1.2200,1.1860, & - & 1.1730,1.1720,1.1580,1.1530,1.1390,1.1320,1.1310,1.1460,1.1470, & - & 1.1490,1.1580,1.1700,1.1670,1.1720,1.1860,1.2030,1.2210,1.2150, & - & 1.2240,1.2520,1.2750,1.2840,1.2860,1.2800,1.2810,1.2800,1.2860, & - & 1.2830,1.2730,1.2630,1.2360,1.2300,1.2140,1.1780,1.1460,1.1430, & - & 1.1320,1.0970,1.0680,1.0480,1.0360,1.0100,0.9780,0.9690,0.9610, & - & 0.9390,0.9150,0.9050,0.8920,0.8870,0.8840,0.8730,0.8470,0.8370, & - & 0.8390,0.8280,0.8120,0.7950,0.7960,0.7960,0.7840,0.7710,0.7670, & - & 0.7590,0.7550,0.7580,0.7540,0.7450,0.7320,0.7250,0.7280,0.7230, & - & 0.7210,0.7200,0.7140,0.7200,0.7180,0.7050,0.7050,0.7060,0.6910, & - & 0.6810,0.6860,0.6870,0.6690,0.6610,0.6700,0.6720,0.6560,0.6470, & - & 0.6550,0.6580,0.6510,0.6460,0.6410,0.6400,0.6400,0.6390,0.6380, & - & 0.6380,0.6320,0.6290,0.6350,0.6320,0.6360,0.6470,0.6460,0.6390, & - & 0.6350,0.6380,0.6430,0.6400,0.6280,0.6310,0.6540,0.6740,0.6740, & - & 0.6630,0.6560,0.6540,0.6560,0.6660,0.6730,0.6680,0.6630,0.6640, & - & 0.6700,0.6720,0.6710,0.6760,0.6880,0.6940,0.6880,0.6790,0.6820, & - & 0.6870,0.6880,0.6900,0.6930,0.6950,0.6990,0.7030,0.7020,0.7000, & - & 0.7000,0.7040,0.7110,0.7190,0.7290,0.7330,0.7330,0.7370,0.7390, & - & 0.7330,0.7290,0.7350,0.7440,0.7440,0.7290,0.7220,0.7310,0.7400, & - & 0.7380,0.7290,0.7270,0.7340,0.7420,0.7420,0.7350,0.7280,0.7210, & - & 0.7190,0.7200,0.7190,0.7110,0.7010,0.6960,0.6970,0.6950,0.6890, & - & 0.6820,0.6770,0.6730,0.6660,0.6560,0.6470,0.6430,0.6460,0.6500, & - & 0.6490,0.6420,0.6310,0.6250,0.6230,0.6200,0.6140,0.6090,0.6090, & - & 0.6130,0.6090,0.5980,0.5860,0.5770,0.5800,0.5820,0.5780,0.5660, & - & 0.5590,0.5610,0.5680,0.5730,0.5730,0.5700,0.5600,0.5490,0.5430, & - & 0.5410,0.5400,0.5380,0.5360,0.5310,0.5270,0.5190,0.5090,0.5050, & - & 0.5060,0.5080,0.5080,0.5030,0.4990,0.4970,0.4980,0.5000,0.4980, & - & 0.4910,0.4800,0.4720,0.4750,0.4840,0.4910,0.4890,0.4770,0.4640, & - & 0.4640,0.4720,0.4780,0.4740,0.4630,0.4510,0.4460,0.4520,0.4590, & - & 0.4620,0.4600,0.4580,0.4540,0.4520,0.4520,0.4560,0.4610,0.4640, & - & 0.4610,0.4530,0.4450,0.4350,0.4330,0.4430,0.4580,0.4660,0.4630, & - & 0.4560,0.4470,0.4460,0.4500,0.4530,0.4510,0.4420,0.4330,0.4320, & - & 0.4350,0.4450,0.4530,0.4630,0.4700,0.4730,0.4740,0.4750,0.4770, & - & 0.4770,0.4770,0.4750,0.4720,0.4700,0.4700,0.4710,0.4720,0.4700, & - & 0.4660,0.4580,0.4500,0.4460,0.4440,0.4490,0.4580,0.4660,0.4710, & - & 0.4740,0.4730,0.4720,0.4730,0.4760,0.4780,0.4790,0.4800,0.4810, & - & 0.4850,0.4880,0.4900,0.4920,0.4920,0.4910,0.4860,0.4830,0.4830, & - & 0.4860,0.4970,0.5090,0.5140,0.5160,0.5140,0.5110,0.5100,0.5120, & - & 0.5160,0.5180,0.5170,0.5120,0.5050,0.4990,0.4950,0.4980,0.5020, & - & 0.5040,0.5030,0.4980,0.4930,0.4900,0.4910,0.4980,0.5080,0.5130, & - & 0.5160,0.5180,0.5190,0.5190,0.5190,0.5200,0.5210,0.5240,0.5270, & - & 0.5300,0.5310,0.5260,0.5150,0.5060,0.4990,0.4950,0.4960,0.5000, & - & 0.5060,0.5120,0.5150,0.5160,0.5140,0.5110,0.5090,0.5070,0.5070, & - & 0.5090,0.5110,0.5110,0.5080,0.5020,0.4930,0.4860,0.4820,0.4820, & - & 0.4860,0.4920,0.4960,0.4960,0.4930,0.4880,0.4820,0.4790,0.4760, & - & 0.4760,0.4760,0.4760,0.4760,0.4780,0.4800,0.4810,0.4820,0.4830, & - & 0.4820,0.4800,0.4770,0.4740,0.4700,0.4670,0.4650,0.4630,0.4610, & - & 0.4580,0.4550,0.4540,0.4550,0.4600,0.4680,0.4770,0.4850,0.4910, & - & 0.4920,0.4890,0.4830,0.4750,0.4690,0.4650,0.4650,0.4670,0.4710, & - & 0.4760,0.4800,0.4820,0.4820,0.4810,0.4790,0.4760,0.4750,0.4750, & - & 0.4750,0.4750,0.4750,0.4740,0.4720,0.4710,0.4700,0.4700,0.4720, & - & 0.4720,0.4720,0.4700,0.4660,0.4630,0.4590,0.4570,0.4560,0.4570, & - & 0.4600,0.4640,0.4700,0.4760,0.4800,0.4830,0.4820,0.4810,0.4790, & - & 0.4770,0.4750,0.4750,0.4740,0.4740,0.4750,0.4770,0.4790,0.4790, & - & 0.4760,0.4710,0.4640,0.4590,0.4560,0.4560,0.4570,0.4570,0.4550, & - & 0.4520,0.4500,0.4510,0.4550,0.4610,0.4660,0.4700,0.4700,0.4700, & - & 0.4680,0.4650,0.4620,0.4580,0.4540,0.4510,0.4490,0.4490,0.4510, & - & 0.4550,0.4620,0.4710,0.4800,0.4860,0.4870,0.4820,0.4710,0.4590, & - & 0.4490,0.4420,0.4410,0.4430,0.4450,0.4450,0.4430,0.4410,0.4420, & - & 0.4460,0.4510,0.4540,0.4560,0.4530,0.4480,0.4440,0.4420,0.4450, & - & 0.4510,0.4590,0.4670,0.4750,0.4800,0.4820,0.4830,0.4830,0.4790, & - & 0.4720,0.4650,0.4590,0.4560,0.4570,0.4620,0.4680,0.4750,0.4810, & - & 0.4860,0.4910,0.4950,0.4990,0.5000,0.4970,0.4920,0.4850,0.4790, & - & 0.4730,0.4670,0.4570,0.4440,0.4280,0.4120,0.3980,0.3890,0.3850, & - & 0.3830,0.3800,0.3710,0.3580,0.3410,0.3250,0.3130,0.3070,0.3060, & - & 0.3090,0.3090,0.3050,0.2980,0.2890,0.2790,0.2680,0.2600,0.2530, & - & 0.2470,0.2430,0.2410,0.2420,0.2430,0.2460,0.2490,0.2510,0.2500, & - & 0.2460,0.2400,0.2340,0.2280,0.2250,0.2220,0.2190,0.2160,0.2140, & - & 0.2140,0.2170,0.2230,0.2310,0.2400,0.2480,0.2560,0.2650,0.2760, & - & 0.2900,0.3090,0.3300,0.3510,0.3710,0.3860,0.3970,0.4050,0.4120, & - & 0.4220,0.4330,0.4470,0.4640,0.4820,0.5010,0.5220,0.5450,0.5690, & - & 0.5930,0.6160,0.6350,0.6500,0.6600,0.6670,0.6710,0.6740,0.6790, & - & 0.6890,0.7050,0.7260,0.7510,0.7770,0.7980,0.8140,0.8230,0.8270, & - & 0.8310,0.8380,0.8490,0.8660,0.8840,0.9010,0.9150,0.9260,0.9340, & - & 0.9420,0.9520,0.9640,0.9790,0.9940,1.0090,1.0210,1.0320,1.0390, & - & 1.0440,1.0480,1.0520,1.0590,1.0690,1.0830,1.0990,1.1150,1.1260, & - & 1.1320,1.1330,1.1330,1.1350,1.1430,1.1560,1.1700,1.1790,1.1820, & - & 1.1780,1.1690,1.1570,1.1490,1.1460,1.1500,1.1610,1.1750,1.1880, & - & 1.1960,1.1940,1.1820,1.1630,1.1420,1.1230,1.1120,1.1100,1.1170, & - & 1.1280,1.1350,1.1360,1.1270,1.1130,1.0990,1.0920,1.0950,1.1060, & - & 1.1200,1.1280,1.1280,1.1170,1.0990,1.0770,1.0580,1.0440,1.0400, & - & 1.0440,1.0500,1.0660,1.0760,1.0790,1.0700,1.0520,1.0340,1.0200, & - & 1.0100,1.0100 /) - if (mypid == NROOT) then @@ -634,12 +188,16 @@ a1 = 0.0 a2 = 0.0 do k=1,41 !Compute insolation-weighted albedo below 0.75 microns - a1 = a1 + 0.5*(bb3(k)*fsnowalb(k)+bb3(k+1)*fsnowalb(k+1))* & - & 1.0e-6*(wavelengths(k+1)-wavelengths(k)) +! a1 = a1 + 0.5*(bb3(k)*fsnowalb(k)+bb3(k+1)*fsnowalb(k+1))* & +! & 1.0e-6*(wavelengths(k+1)-wavelengths(k)) + a1 = a1 + 0.5*(bb3(k)*iceblend(k)+bb3(k+1)*iceblend(k+1))* & + & 1.0e-6*(wavelengths(k+1)-wavelengths(k)) enddo do k=42,964 !Compute insolation-weighted albedo above 0.75 microns - a2 = a2 + 0.5*(bb3(k)*fsnowalb(k)+bb3(k+1)*fsnowalb(k+1)))* & - & 1.0e-6*(wavelengths(k+1)-wavelengths(k)) +! a2 = a2 + 0.5*(bb3(k)*fsnowalb(k)+bb3(k+1)*fsnowalb(k+1)))* & +! & 1.0e-6*(wavelengths(k+1)-wavelengths(k)) + a2 = a2 + 0.5*(bb3(k)*iceblend(k)+bb3(k+1)*iceblend(k+1))* & + & 1.0e-6*(wavelengths(k+1)-wavelengths(k)) enddo z1 = 0.0 @@ -674,6 +232,135 @@ write(nud,*) "Snow albedo above 0.75 microns:",dsnowalb(2) write(nud,*) "Overall snow albedo:",z1*dsnowalb(1)+z2*dsnowalb(2) + a1 = 0.0 + a2 = 0.0 + do k=1,41 !Compute insolation-weighted albedo below 0.75 microns + a1 = a1 + 0.5*(bb3(k)*iceblendmin(k)+bb3(k+1)*iceblendmin(k+1))* & + & 1.0e-6*(wavelengths(k+1)-wavelengths(k)) + enddo + do k=42,964 !Compute insolation-weighted albedo above 0.75 microns + a2 = a2 + 0.5*(bb3(k)*iceblendmin(k)+bb3(k+1)*iceblendmin(k+1))* & + & 1.0e-6*(wavelengths(k+1)-wavelengths(k)) + enddo + + dsnowalbmn(1) = a1 + dsnowalbmn(2) = a2 + + write(nud,*) "Minimum snow albedo below 0.75 microns:",dsnowalbmn(1) + write(nud,*) "Minimum snow albedo above 0.75 microns:",dsnowalbmn(2) + write(nud,*) "Overall minimum snow albedo:",z1*dsnowalbmn(1)+z2*dsnowalbmn(2) + + a1 = 0.0 + a2 = 0.0 + do k=1,41 !Compute insolation-weighted albedo below 0.75 microns + a1 = a1 + 0.5*(bb3(k)*iceblendmax(k)+bb3(k+1)*iceblendmax(k+1))* & + & 1.0e-6*(wavelengths(k+1)-wavelengths(k)) + enddo + do k=42,964 !Compute insolation-weighted albedo above 0.75 microns + a2 = a2 + 0.5*(bb3(k)*iceblendmax(k)+bb3(k+1)*iceblendmax(k+1))* & + & 1.0e-6*(wavelengths(k+1)-wavelengths(k)) + enddo + + dsnowalbmx(1) = a1 + dsnowalbmx(2) = a2 + + write(nud,*) "Maximum snow albedo below 0.75 microns:",dsnowalbmx(1) + write(nud,*) "Maximum snow albedo above 0.75 microns:",dsnowalbmx(2) + write(nud,*) "Overall maximum snow albedo:",z1*dsnowalbmx(1)+z2*dsnowalbmx(2) + + a1 = 0.0 + a2 = 0.0 + do k=1,41 !Compute insolation-weighted albedo below 0.75 microns + a1 = a1 + 0.5*(bb3(k)*seaicemin(k)+bb3(k+1)*seaicemin(k+1))* & + & 1.0e-6*(wavelengths(k+1)-wavelengths(k)) + enddo + do k=42,964 !Compute insolation-weighted albedo above 0.75 microns + a2 = a2 + 0.5*(bb3(k)*seaicemin(k)+bb3(k+1)*seaicemin(k+1))* & + & 1.0e-6*(wavelengths(k+1)-wavelengths(k)) + enddo + + dicealbmn(1) = a1 + dicealbmn(2) = a2 + + write(nud,*) "Minimum sea ice albedo below 0.75 microns:",dicealbmn(1) + write(nud,*) "Minimum sea ice albedo above 0.75 microns:",dicealbmn(2) + write(nud,*) "Overall minimum sea ice albedo:",z1*dicealbmn(1)+z2*dicealbmn(2) + + a1 = 0.0 + a2 = 0.0 + do k=1,41 !Compute insolation-weighted albedo below 0.75 microns + a1 = a1 + 0.5*(bb3(k)*seaicemax(k)+bb3(k+1)*seaicemax(k+1))* & + & 1.0e-6*(wavelengths(k+1)-wavelengths(k)) + enddo + do k=42,964 !Compute insolation-weighted albedo above 0.75 microns + a2 = a2 + 0.5*(bb3(k)*seaicemax(k)+bb3(k+1)*seaicemax(k+1))* & + & 1.0e-6*(wavelengths(k+1)-wavelengths(k)) + enddo + + dicealbmx(1) = a1 + dicealbmx(2) = a2 + + write(nud,*) "Maximum sea ice albedo below 0.75 microns:",dicealbmx(1) + write(nud,*) "Maximum sea ice albedo above 0.75 microns:",dicealbmx(2) + write(nud,*) "Overall maximum sea ice albedo:",z1*dicealbmx(1)+z2*dicealbmx(2) + + a1 = 0.0 + a2 = 0.0 + do k=1,41 !Compute insolation-weighted albedo below 0.75 microns + a1 = a1 + 0.5*(bb3(k)*glacalbmin(k)+bb3(k+1)*glacalbmin(k+1))* & + & 1.0e-6*(wavelengths(k+1)-wavelengths(k)) + enddo + do k=42,964 !Compute insolation-weighted albedo above 0.75 microns + a2 = a2 + 0.5*(bb3(k)*glacalbmin(k)+bb3(k+1)*glacalbmin(k+1))* & + & 1.0e-6*(wavelengths(k+1)-wavelengths(k)) + enddo + + dglacalbmn(1) = a1 + dglacalbmn(2) = a2 + + write(nud,*) "Minimum glacier albedo below 0.75 microns:",dglacalbmn(1) + write(nud,*) "Minimum glacier albedo above 0.75 microns:",dglacalbmn(2) + write(nud,*) "Overall minimum glacier albedo:",z1*dglacalbmn(1)+z2*dglacalbmn(2) + + a1 = 0.0 + a2 = 0.0 + do k=1,41 !Compute insolation-weighted albedo below 0.75 microns + a1 = a1 + 0.5*(bb3(k)*groundblend(k)+bb3(k+1)*groundblend(k+1))* & + & 1.0e-6*(wavelengths(k+1)-wavelengths(k)) + enddo + do k=42,964 !Compute insolation-weighted albedo above 0.75 microns + a2 = a2 + 0.5*(bb3(k)*groundblend(k)+bb3(k+1)*groundblend(k+1))* & + & 1.0e-6*(wavelengths(k+1)-wavelengths(k)) + enddo + + dgroundalb(1) = a1 + dgroundalb(2) = a2 + + write(nud,*) "Ground albedo below 0.75 microns:",dgroundalb(1) + write(nud,*) "Ground albedo above 0.75 microns:",dgroundalb(2) + write(nud,*) "Overall ground albedo:",z1*dgroundalb(1)+z2*dgroundalb(2) + + a1 = 0.0 + a2 = 0.0 + do k=1,41 !Compute insolation-weighted albedo below 0.75 microns + a1 = a1 + 0.5*(bb3(k)*oceanblend(k)+bb3(k+1)*oceanblend(k+1))* & + & 1.0e-6*(wavelengths(k+1)-wavelengths(k)) + enddo + do k=42,964 !Compute insolation-weighted albedo above 0.75 microns + a2 = a2 + 0.5*(bb3(k)*oceanblend(k)+bb3(k+1)*oceanblend(k+1))* & + & 1.0e-6*(wavelengths(k+1)-wavelengths(k)) + enddo + + doceanalb(1) = a1 + doceanalb(2) = a2 + + write(nud,*) "Ocean albedo below 0.75 microns:",doceanalb(1) + write(nud,*) "Ocean albedo above 0.75 microns:",doceanalb(2) + write(nud,*) "Overall ocean albedo:",z1*doceanalb(1)+z2*doceanalb(2) + + + + ! call put_restart_array("zsolars",zsolars,2,2,1) endif @@ -684,9 +371,23 @@ call mpbcr(zsolar1) call mpbcr(zsolar2) call mpbcrn(dsnowalb,2) + call mpbcrn(dsnowalbmn,2) + call mpbcrn(dsnowalbmx,2) + call mpbcrn(dglacalbmn,2) + call mpbcrn(dicealbmn,2) + call mpbcrn(dicealbmx,2) + call mpbcrn(dgroundalb,2) + call mpbcrn(doceanalb,2) call mpputgp('zsolars',zsolars,2,1) call mpputgp('dsnowalb',dsnowalb,2,1) + call mpputgp('dsnowalbmn',dsnowalbmn,2,1) + call mpputgp('dsnowalbmx',dsnowalbmx,2,1) + call mpputgp('dicealbmn',dicealbmn,2,1) + call mpputgp('dicealbmx',dicealbmx,2,1) + call mpputgp('dglacalbmn',dglacalbmn,2,1) + call mpputgp('dgroundalb',dgroundalb,2,1) + call mpputgp('doceanalb',doceanalb,2,1) end subroutine solarini @@ -835,7 +536,7 @@ read(11,radmod_nl) close(11) write(nud,'(/," *********************************************")') - write(nud,'(" * RADMOD ",a34," *")') trim(version) + write(nud,'(" * RADMOD ",a34," *")') trim(rversion) write(nud,'(" *********************************************")') write(nud,'(" * Namelist RADMOD_NL from *")') write(nud,'(" *********************************************")') @@ -890,6 +591,8 @@ if (nrestart > 0.) then call mpgetgp('zsolars',zsolars,2,1) call mpgetgp('dsnowalb',dsnowalb,2,1) + call mpgetgp('dgroundalb',dgroundalb,2,1) + call mpgetgp('doceanalb',doceanalb,2,1) if (mypid == NROOT) then ! call get_restart_array("zsolars",zsolars,2,2,1) zsolar1 = zsolars(1) @@ -898,10 +601,16 @@ write(nud,*) "Read zsolar2 from restart: ",zsolar2 write(nud,*) "Read snow albedo <0.75 um from restart: ",dsnowalb(1) write(nud,*) "Read snow albedo >0.75 um from restart: ",dsnowalb(2) + write(nud,*) "Read ground albedo <0.75 um from restart: ",dgroundalb(1) + write(nud,*) "Read ground albedo >0.75 um from restart: ",dgroundalb(2) + write(nud,*) "Read ocean albedo <0.75 um from restart: ",doceanalb(1) + write(nud,*) "Read ocean albedo >0.75 um from restart: ",doceanalb(2) endif call mpbcr(zsolar1) call mpbcr(zsolar2) call mpbcrn(dsnowalb) + call mpbcrn(dgroundalb) + call mpbcrn(doceanalb) ! call mpputgp( else call solarini @@ -910,6 +619,8 @@ call mpbcr(zsolar1) call mpbcr(zsolar2) call mpbcrn(dsnowalb) + call mpbcrn(dgroundalb) + call mpbcrn(doceanalb) endif ! ! determine orbital parameters @@ -1038,8 +749,8 @@ allocate(zalb1(NHOR)) allocate(zalb2(NHOR)) zcc(:,:)=dcc(:,:) - zalb1(:) = dalb1(:) - zalb2(:) = dalb2(:) + zalb1(:) = dsalb(1,:) + zalb2(:) = dsalb(2,:) dcc(:,:)=0. if(nswr==1) call swr dclforc(:,1)=dswfl(:,NLEP) @@ -1047,8 +758,8 @@ dclforc(:,5)=dfu(:,1) dclforc(:,6)=dfu(:,NLEP) dcc(:,:)=zcc(:,:) - dalb1(:) = zalb1(:) - dalb2(:) = zalb2(:) + dsalb(1,:) = zalb1(:) + dsalb(2,:) = zalb2(:) deallocate(zalb1) deallocate(zalb2) end if @@ -1543,6 +1254,7 @@ ! dsigma(NLEV) : delta sigma (half level) (used) ! dp(NHOR) : surface pressure (Pa) (used) ! dalb(NHOR) : surface albedo (used) +! dsalb(2,NHOR) : band-specific surface albedo (used) ! dq(NHOR,NLEP) : specific humidity (kg/kg) (used) ! dql(NHOR,NLEP) : cloud liquid water content (kg/kg) (used) ! dcc(NHOR,NLEP) : cloud cover (frac.) (used) @@ -1934,22 +1646,22 @@ ! Currently: we use the same albedo for both spectral ranges. - - zra1s(:)=dalb1(:) - zra2s(:)=dalb2(:) + zra1s(:)=dalb(:)*(1-nstartemp) + dsalb(1,:)*nstartemp + zra2s(:)=dalb(:)*(1-nstartemp) + dsalb(2,:)*nstartemp ! ! set albedo for the direct beam (for ocean use ECHAM3 param) -! - dalb1(:)=dls(:)*dalb1(:)+(1.-dls(:))*dicec(:)*dalb1(:) & + dsalb(1,:)=dls(:)*dsalb(1,:)+(1.-dls(:))*dicec(:)*dsalb(1,:) & & +(1.-dls(:))*(1.-dicec(:))*AMIN1(0.05/(zmu0(:)+0.15),0.15) - dalb2(:)=dls(:)*dalb2(:)+(1.-dls(:))*dicec(:)*dalb2(:) & + dsalb(2,:)=dls(:)*dsalb(2,:)+(1.-dls(:))*dicec(:)*dsalb(2,:) & & +(1.-dls(:))*(1.-dicec(:))*AMIN1(0.05/(zmu0(:)+0.15),0.15) - - dalb(:) = zsolars(1)*dalb1(:) + zsolars(2)*dalb2(:) - - zra1(:)=dalb1(:) - zra2(:)=dalb2(:) + dalb(:) = (zsolars(1)*dsalb(1,:) + zsolars(2)*dsalb(2,:))*nstartemp + & + & (dls(:)*dalb(:)+(1.-dls(:))*dicec(:)*dalb(:) & + & +(1.-dls(:))*(1.-dicec(:))*AMIN1(0.05/(zmu0(:)+0.15),0.15))*(1-nstartemp) + + zra1(:)=dsalb(1,:)*nstartemp + dalb(:)*(1-nstartemp) + zra2(:)=dsalb(2,:)*nstartemp + dalb(:)*(1-nstartemp) + ! Ice-free ocean albedo is min(0.05/(phi+0.15), 0.15)--reflection and scattering is higher at low phi endwhere diff --git a/plasim/src/seamod.f90 b/plasim/src/seamod.f90 index a22ebb7..5455513 100644 --- a/plasim/src/seamod.f90 +++ b/plasim/src/seamod.f90 @@ -141,6 +141,10 @@ drhs(:)=drhssea*(1.-dicec(:))+drhsice*dicec(:) dalb(:)=albsea*(1.-dicec(:)) & & +dicec(:)*AMIN1(albice,0.5+0.025*(273.-dts(:))) + dsalb(1,:)=doceanalb(1)*(1.-dicec(:)) & + & +dicec(:)*AMIN1(dicealbmx(1),dicealbmn(1)+0.025*(273.-dts(:))) + dsalb(2,:)=doceanalb(2)*(1.-dicec(:)) & + & +dicec(:)*AMIN1(dicealbmx(2),dicealbmn(2)+0.025*(273.-dts(:))) dz0(:)=dz0sea*(1.-dicec(:))+dz0ice*dicec(:) endwhere endif @@ -249,6 +253,10 @@ drhs(:)=drhssea*(1.-dicec(:))+drhsice*dicec(:) dalb(:)=albsea*(1.-dicec(:)) & & +dicec(:)*AMIN1(albice,0.5+0.025*(273.-dts(:))) + dsalb(1,:)=doceanalb(1)*(1.-dicec(:)) & + & +dicec(:)*AMIN1(dicealbmx(1),dicealbmn(1)+0.025*(273.-dts(:))) + dsalb(2,:)=doceanalb(2)*(1.-dicec(:)) & + & +dicec(:)*AMIN1(dicealbmx(2),dicealbmn(2)+0.025*(273.-dts(:))) dz0(:)=zz0(:)*(1.-dicec(:))+dz0ice*dicec(:) endwhere ! diff --git a/plasim/src/specblock.f90 b/plasim/src/specblock.f90 new file mode 100644 index 0000000..5b5029e --- /dev/null +++ b/plasim/src/specblock.f90 @@ -0,0 +1,1428 @@ + module specblock + +! +! Spectral snow reflectance sourced from the ECOSTRESS spectral library (JPL,JHU,USGS): +! +! Meerdink, S. K., Hook, S. J., Abbott, E.A., & Roberts, D.A. (in prep). +! The ECOSTRESS Spectral Library 1.0. +! Baldridge, A. M., S.J. Hook, C.I. Grove and G. Rivera, 2009.. +! The ASTER Spectral Library Version 2.0. Remote Sensing of Environment, vol 113, pp. 711-715 +! + + real :: snowalbedos(965) = 0.0 !Combined snow spectral albedos + + real :: wavelengths(965) = (/0.3400,0.3500,0.3600,0.3700,0.3800,0.3900,0.4000,0.4100,0.4200, & + & 0.4300,0.4400,0.4500,0.4600,0.4700,0.4800,0.4900,0.5000,0.5100, & + & 0.5200,0.5300,0.5400,0.5500,0.5600,0.5700,0.5800,0.5900,0.6000, & + & 0.6100,0.6200,0.6300,0.6400,0.6500,0.6600,0.6700,0.6800,0.6900, & + & 0.7000,0.7100,0.7200,0.7300,0.7400,0.7500,0.7600,0.7700,0.7800, & + & 0.7900,0.8000,0.8200,0.8400,0.8600,0.8800,0.9000,0.9200,0.9400, & + & 0.9600,0.9800,1.0000,1.0200,1.0400,1.0600,1.0800,1.1000,1.1200, & + & 1.1400,1.1600,1.1800,1.2000,1.2200,1.2400,1.2600,1.2800,1.3000, & + & 1.3200,1.3400,1.3600,1.3800,1.4000,1.4200,1.4400,1.4600,1.4800, & + & 1.5000,1.5200,1.5400,1.5600,1.5800,1.6000,1.6200,1.6400,1.6600, & + & 1.6800,1.7000,1.7200,1.7400,1.7600,1.7800,1.8000,1.8200,1.8400, & + & 1.8600,1.8800,1.9000,1.9200,1.9400,1.9600,1.9800,2.0000,2.0200, & + & 2.0400,2.0600,2.0800,2.1000,2.1200,2.1400,2.1600,2.1800,2.2000, & + & 2.2200,2.2400,2.2500,2.2600,2.2700,2.2800,2.2900,2.3000,2.3100, & + & 2.3200,2.3300,2.3400,2.3500,2.3600,2.3700,2.3800,2.3900,2.4000, & + & 2.4100,2.4200,2.4300,2.4400,2.4500,2.4600,2.4700,2.4800,2.4900, & + & 2.5000,2.5100,2.5200,2.5300,2.5400,2.5500,2.5600,2.5700,2.5800, & + & 2.5900,2.6000,2.6100,2.6200,2.6300,2.6400,2.6500,2.6600,2.6700, & + & 2.6800,2.6900,2.7000,2.7100,2.7200,2.7300,2.7400,2.7500,2.7600, & + & 2.7700,2.7800,2.7900,2.8000,2.8100,2.8200,2.8300,2.8400,2.8500, & + & 2.8600,2.8700,2.8800,2.8900,2.9000,2.9100,2.9200,2.9300,2.9400, & + & 2.9500,2.9600,2.9700,2.9800,2.9900,3.0000,3.0100,3.0200,3.0300, & + & 3.0400,3.0500,3.0600,3.0700,3.0800,3.0900,3.1000,3.1100,3.1200, & + & 3.1300,3.1400,3.1500,3.1600,3.1700,3.1800,3.1900,3.2000,3.2100, & + & 3.2200,3.2300,3.2400,3.2500,3.2600,3.2700,3.2800,3.2900,3.3000, & + & 3.3100,3.3200,3.3300,3.3400,3.3500,3.3600,3.3700,3.3800,3.3900, & + & 3.4000,3.4100,3.4200,3.4300,3.4400,3.4500,3.4600,3.4700,3.4800, & + & 3.4900,3.5000,3.5100,3.5200,3.5300,3.5400,3.5500,3.5600,3.5700, & + & 3.5800,3.5900,3.6000,3.6100,3.6200,3.6300,3.6400,3.6500,3.6600, & + & 3.6700,3.6800,3.6900,3.7000,3.7100,3.7200,3.7300,3.7400,3.7500, & + & 3.7600,3.7700,3.7800,3.7900,3.8000,3.8100,3.8200,3.8300,3.8400, & + & 3.8500,3.8600,3.8700,3.8800,3.8900,3.9000,3.9100,3.9200,3.9300, & + & 3.9400,3.9500,3.9600,3.9700,3.9800,3.9900,4.0000,4.0100,4.0200, & + & 4.0300,4.0400,4.0500,4.0600,4.0700,4.0800,4.0900,4.1000,4.1100, & + & 4.1200,4.1300,4.1400,4.1500,4.1600,4.1700,4.1800,4.1900,4.2000, & + & 4.2100,4.2200,4.2300,4.2400,4.2500,4.2600,4.2700,4.2800,4.2900, & + & 4.3000,4.3100,4.3200,4.3300,4.3400,4.3500,4.3600,4.3700,4.3800, & + & 4.3900,4.4000,4.4100,4.4200,4.4300,4.4400,4.4500,4.4600,4.4700, & + & 4.4800,4.4900,4.5000,4.5100,4.5200,4.5300,4.5400,4.5500,4.5600, & + & 4.5700,4.5800,4.5900,4.6000,4.6100,4.6200,4.6300,4.6400,4.6500, & + & 4.6600,4.6700,4.6800,4.6900,4.7000,4.7100,4.7200,4.7300,4.7400, & + & 4.7500,4.7600,4.7700,4.7800,4.7900,4.8000,4.8100,4.8200,4.8300, & + & 4.8400,4.8500,4.8600,4.8700,4.8800,4.8900,4.9000,4.9100,4.9200, & + & 4.9300,4.9400,4.9500,4.9600,4.9700,4.9800,4.9900,5.0000,5.0100, & + & 5.0200,5.0300,5.0400,5.0500,5.0600,5.0700,5.0800,5.0900,5.1000, & + & 5.1100,5.1200,5.1300,5.1400,5.1500,5.1600,5.1700,5.1800,5.1900, & + & 5.2000,5.2100,5.2200,5.2300,5.2400,5.2500,5.2600,5.2700,5.2800, & + & 5.2900,5.3000,5.3100,5.3200,5.3300,5.3400,5.3500,5.3600,5.3700, & + & 5.3800,5.3900,5.4000,5.4100,5.4200,5.4300,5.4400,5.4500,5.4600, & + & 5.4700,5.4800,5.4900,5.5000,5.5100,5.5200,5.5300,5.5400,5.5500, & + & 5.5600,5.5700,5.5800,5.5900,5.6000,5.6100,5.6200,5.6300,5.6400, & + & 5.6500,5.6600,5.6700,5.6800,5.6900,5.7000,5.7100,5.7200,5.7300, & + & 5.7400,5.7500,5.7600,5.7700,5.7800,5.7900,5.8000,5.8100,5.8200, & + & 5.8300,5.8400,5.8500,5.8600,5.8700,5.8800,5.8900,5.9000,5.9100, & + & 5.9200,5.9300,5.9400,5.9500,5.9600,5.9700,5.9800,5.9900,6.0000, & + & 6.0100,6.0200,6.0300,6.0400,6.0500,6.0600,6.0700,6.0800,6.0900, & + & 6.1000,6.1100,6.1200,6.1300,6.1400,6.1500,6.1600,6.1700,6.1800, & + & 6.1900,6.2000,6.2100,6.2200,6.2300,6.2400,6.2500,6.2600,6.2700, & + & 6.2800,6.2900,6.3000,6.3100,6.3200,6.3300,6.3400,6.3500,6.3600, & + & 6.3700,6.3800,6.3900,6.4000,6.4100,6.4200,6.4300,6.4400,6.4500, & + & 6.4600,6.4700,6.4800,6.4900,6.5000,6.5100,6.5200,6.5300,6.5400, & + & 6.5500,6.5600,6.5700,6.5800,6.5900,6.6000,6.6100,6.6200,6.6300, & + & 6.6400,6.6500,6.6600,6.6700,6.6800,6.6900,6.7000,6.7100,6.7200, & + & 6.7300,6.7400,6.7500,6.7600,6.7700,6.7800,6.7900,6.8000,6.8100, & + & 6.8200,6.8300,6.8400,6.8500,6.8600,6.8700,6.8800,6.8900,6.9000, & + & 6.9100,6.9200,6.9300,6.9400,6.9500,6.9600,6.9700,6.9800,6.9900, & + & 7.0000,7.0100,7.0200,7.0300,7.0400,7.0500,7.0600,7.0700,7.0800, & + & 7.0900,7.1000,7.1100,7.1200,7.1300,7.1400,7.1500,7.1600,7.1700, & + & 7.1800,7.1900,7.2000,7.2100,7.2200,7.2300,7.2400,7.2500,7.2600, & + & 7.2700,7.2800,7.2900,7.3000,7.3100,7.3200,7.3300,7.3400,7.3500, & + & 7.3600,7.3700,7.3800,7.4000,7.4100,7.4200,7.4300,7.4400,7.4500, & + & 7.4600,7.4700,7.4800,7.4900,7.5000,7.5100,7.5200,7.5400,7.5500, & + & 7.5600,7.5700,7.5800,7.5900,7.6000,7.6100,7.6200,7.6300,7.6500, & + & 7.6600,7.6700,7.6800,7.6900,7.7000,7.7100,7.7300,7.7400,7.7500, & + & 7.7600,7.7700,7.7800,7.8000,7.8100,7.8200,7.8300,7.8400,7.8500, & + & 7.8700,7.8800,7.8900,7.9000,7.9100,7.9300,7.9400,7.9500,7.9600, & + & 7.9800,7.9900,8.0000,8.0100,8.0300,8.0400,8.0500,8.0600,8.0800, & + & 8.0900,8.1000,8.1100,8.1300,8.1400,8.1500,8.1600,8.1800,8.1900, & + & 8.2000,8.2200,8.2300,8.2400,8.2600,8.2700,8.2800,8.2900,8.3100, & + & 8.3200,8.3300,8.3500,8.3600,8.3800,8.3900,8.4000,8.4200,8.4300, & + & 8.4400,8.4600,8.4700,8.4800,8.5000,8.5100,8.5300,8.5400,8.5500, & + & 8.5700,8.5800,8.6000,8.6100,8.6300,8.6400,8.6500,8.6700,8.6800, & + & 8.7000,8.7100,8.7300,8.7400,8.7600,8.7700,8.7900,8.8000,8.8200, & + & 8.8300,8.8500,8.8600,8.8800,8.8900,8.9100,8.9200,8.9400,8.9500, & + & 8.9700,8.9800,9.0000,9.0200,9.0300,9.0500,9.0600,9.0800,9.1000, & + & 9.1100,9.1300,9.1400,9.1600,9.1800,9.1900,9.2100,9.2200,9.2400, & + & 9.2600,9.2700,9.2900,9.3100,9.3200,9.3400,9.3600,9.3700,9.3900, & + & 9.4100,9.4300,9.4400,9.4600,9.4800,9.4900,9.5100,9.5300,9.5500, & + & 9.5600,9.5800,9.6000,9.6200,9.6400,9.6500,9.6700,9.6900,9.7100, & + & 9.7300,9.7400,9.7600,9.7800,9.8000,9.8200,9.8400,9.8600,9.8700, & + & 9.8900,9.9100,9.9300,9.9500,9.9700,9.9900,10.0100,10.0300,10.0500, & + & 10.0700,10.0900,10.1100,10.1300,10.1500,10.1700,10.1800,10.2100,10.2300, & + & 10.2500,10.2700,10.2900,10.3100,10.3300,10.3500,10.3700,10.3900,10.4100, & + & 10.4300,10.4500,10.4700,10.4900,10.5200,10.5400,10.5600,10.5800,10.6000, & + & 10.6200,10.6500,10.6700,10.6900,10.7100,10.7300,10.7600,10.7800,10.8000, & + & 10.8200,10.8500,10.8700,10.8900,10.9100,10.9400,10.9600,10.9800,11.0100, & + & 11.0300,11.0500,11.0800,11.1000,11.1200,11.1500,11.1700,11.2000,11.2200, & + & 11.2500,11.2700,11.2900,11.3200,11.3400,11.3700,11.3900,11.4200,11.4400, & + & 11.4700,11.4900,11.5200,11.5500,11.5700,11.6000,11.6200,11.6500,11.6800, & + & 11.7000,11.7300,11.7600,11.7800,11.8100,11.8400,11.8600,11.8900,11.9200, & + & 11.9500,11.9700,12.0000,12.0300,12.0600,12.0800,12.1100,12.1400,12.1700, & + & 12.2000,12.2300,12.2600,12.2800,12.3100,12.3400,12.3700,12.4000,12.4300, & + & 12.4600,12.4900,12.5200,12.5500,12.5800,12.6100,12.6400,12.6800,12.7100, & + & 12.7400,12.7700,12.8000,12.8300,12.8600,12.9000,12.9300,12.9600,12.9900, & + & 13.0300,13.0600,13.0900,13.1200,13.1600,13.1900,13.2200,13.2600,13.2900, & + & 13.3300,13.3600,13.4000,13.4300,13.4700,13.5000,13.5400,13.5700,13.6100, & + & 13.6400,13.6800,13.7100,13.7500,13.7900,13.8200,13.8600,13.9000,13.9400, & + & 13.9700,14.0100/) + + real :: csnowalb(965) = (/96.0980,96.2900,96.4230,96.5490,96.7270,96.8430,96.9870,97.1520,97.2650, & + & 97.4450,97.5050,97.8490,97.9080,97.8730,97.7810,97.7360,97.6340,97.5820, & + & 97.5280,97.4620,97.2960,97.1630,97.1230,97.0590,96.8980,96.7230,96.3570, & + & 95.5080,95.6910,95.2990,94.9000,94.5670,94.2170,93.6110,93.6190,93.1990, & + & 92.5050,92.0360,91.5250,91.2130,90.6720,89.9820,89.1350,88.1980,87.0520, & + & 86.4820,85.8460,85.2430,85.2360,82.8540,79.3290,77.3930,76.2460,74.9770, & + & 71.6990,67.0850,60.8970,57.4940,57.1240,60.0210,62.2260,62.7290,61.9590, & + & 59.0470,54.5580,47.3760,41.5390,34.0440,31.5480,30.3300,30.5110,30.8370, & + & 31.1360,31.2110,30.2540,28.7190,25.1350,11.2590,2.3120,1.0520,0.6190, & + & 0.5090,0.5610,0.6340,0.8010,1.0100,1.1870,1.4250,1.8840,2.4420, & + & 3.0950,3.7230,4.2260,4.7940,5.3750,6.1670,7.0920,8.1850,9.2150, & + & 7.5990,3.0310,1.2170,0.5350,0.3380,0.2420,0.2040,0.2000,0.2070, & + & 0.2260,0.2610,0.3140,0.4210,0.6530,1.0260,1.4710,1.9870,2.6210, & + & 3.3170,3.6960,3.6770,3.5800,3.3610,3.0840,2.7980,2.5400,2.3020, & + & 2.1370,2.0200,1.9140,1.8110,1.7500,1.7000,1.6820,1.6370,1.6010, & + & 1.6030,1.5740,1.5560,1.5080,1.4980,1.4850,1.4660,1.4530,1.4370, & + & 1.3800,1.3590,1.3670,1.3510,1.3070,1.3150,1.3290,1.2940,1.3010, & + & 1.2920,1.2700,1.2390,1.2150,1.1570,1.1370,1.0880,1.0650,1.0010, & + & 0.9250,0.8920,0.8090,0.7620,0.7060,0.6460,0.6050,0.5840,0.5840, & + & 0.5250,0.4850,0.4820,0.4300,0.4150,0.4000,0.3990,0.3940,0.4130, & + & 0.4420,0.4660,0.5250,0.6480,0.7990,0.9970,1.1950,1.4360,1.7020, & + & 1.9030,2.0990,2.2790,2.4280,2.6390,2.8780,3.2290,3.6490,4.1500, & + & 4.6890,5.3580,5.9130,6.4650,6.7620,6.8220,6.6880,6.3590,6.0790, & + & 5.8940,5.7770,5.7110,5.6730,5.6280,5.5760,5.4410,5.3060,5.0970, & + & 4.8930,4.6840,4.4740,4.3040,4.1440,3.9930,3.8770,3.7490,3.6490, & + & 3.5630,3.4740,3.3850,3.3020,3.2380,3.2010,3.1450,3.0470,2.9840, & + & 2.9590,2.9320,2.8880,2.8330,2.7710,2.7260,2.7030,2.6570,2.6100, & + & 2.5860,2.5670,2.5300,2.4780,2.4840,2.4590,2.4290,2.4070,2.3850, & + & 2.3810,2.3670,2.3480,2.3140,2.2960,2.3010,2.2700,2.2490,2.2400, & + & 2.2150,2.2070,2.1990,2.1840,2.1490,2.1610,2.1580,2.1240,2.1190, & + & 2.1150,2.0950,2.0830,2.0800,2.0720,2.0540,2.0460,2.0490,2.0530, & + & 2.0370,2.0050,2.0050,2.0090,1.9850,1.9670,1.9620,1.9640,1.9610, & + & 1.9600,1.9560,1.9350,1.9280,1.9290,1.9230,1.9240,1.9160,1.9020, & + & 1.9000,1.8830,1.8570,1.8670,1.8880,1.8740,1.8520,1.8570,1.8600, & + & 1.8480,1.8440,1.8440,1.8340,1.8330,1.8320,1.8230,1.8330,1.8350, & + & 1.8120,1.7980,1.8020,1.8090,1.8040,1.8010,1.7990,1.7940,1.7950, & + & 1.8000,1.7930,1.7810,1.7830,1.7940,1.7940,1.7850,1.7820,1.7790, & + & 1.7830,1.7910,1.7960,1.7980,1.7830,1.7810,1.8070,1.8270,1.8230, & + & 1.8150,1.8170,1.8190,1.8160,1.8190,1.8280,1.8320,1.8340,1.8400, & + & 1.8420,1.8410,1.8420,1.8430,1.8510,1.8640,1.8700,1.8700,1.8640, & + & 1.8570,1.8520,1.8490,1.8490,1.8510,1.8480,1.8370,1.8250,1.8230, & + & 1.8230,1.8150,1.8110,1.8190,1.8290,1.8220,1.8090,1.8030,1.8010, & + & 1.7990,1.7970,1.7950,1.7920,1.7880,1.7870,1.7880,1.7850,1.7800, & + & 1.7810,1.7860,1.7840,1.7740,1.7640,1.7540,1.7450,1.7420,1.7430, & + & 1.7470,1.7490,1.7440,1.7360,1.7330,1.7330,1.7300,1.7210,1.7080, & + & 1.7010,1.7060,1.7150,1.7100,1.6950,1.6830,1.6830,1.6840,1.6770, & + & 1.6630,1.6550,1.6510,1.6510,1.6530,1.6560,1.6580,1.6530,1.6460, & + & 1.6440,1.6440,1.6400,1.6270,1.6190,1.6260,1.6360,1.6430,1.6390, & + & 1.6260,1.6110,1.6010,1.5920,1.5860,1.5840,1.5800,1.5730,1.5650, & + & 1.5600,1.5570,1.5580,1.5670,1.5740,1.5710,1.5530,1.5360,1.5320, & + & 1.5360,1.5390,1.5360,1.5280,1.5170,1.5120,1.5140,1.5180,1.5150, & + & 1.5040,1.4940,1.4920,1.4940,1.4890,1.4740,1.4590,1.4550,1.4630, & + & 1.4700,1.4680,1.4620,1.4600,1.4640,1.4730,1.4820,1.4830,1.4770, & + & 1.4720,1.4710,1.4730,1.4700,1.4620,1.4490,1.4370,1.4350,1.4400, & + & 1.4520,1.4610,1.4640,1.4660,1.4710,1.4820,1.4940,1.4990,1.4970, & + & 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1.6470,1.6460,1.6430,1.6390,1.6330,1.6260,1.6210,1.6170,1.6150, & + & 1.6140,1.6140,1.6160,1.6190,1.6250,1.6290,1.6300,1.6250,1.6140, & + & 1.5980,1.5800,1.5670,1.5620,1.5660,1.5770,1.5900,1.5990,1.6010, & + & 1.5960,1.5850,1.5730,1.5620,1.5550,1.5520,1.5530,1.5550,1.5580, & + & 1.5590,1.5570,1.5530,1.5490,1.5460,1.5440,1.5450,1.5460,1.5470, & + & 1.5470,1.5460,1.5460,1.5450,1.5450,1.5440,1.5430,1.5380,1.5330, & + & 1.5260,1.5220,1.5200,1.5230,1.5280,1.5320,1.5340,1.5330,1.5310, & + & 1.5290,1.5300,1.5330,1.5360,1.5390,1.5390,1.5380,1.5360,1.5330, & + & 1.5290,1.5260,1.5240,1.5250,1.5300,1.5370,1.5450,1.5510,1.5530, & + & 1.5500,1.5450,1.5390,1.5320,1.5250,1.5180,1.5120,1.5090,1.5100, & + & 1.5140,1.5190,1.5240,1.5260,1.5260,1.5250,1.5230,1.5240,1.5260, & + & 1.5280,1.5270,1.5210,1.5110,1.4970,1.4830,1.4720,1.4660,1.4650, & + & 1.4680,1.4740,1.4800,1.4850,1.4880,1.4900,1.4900,1.4900,1.4900, & + & 1.4880,1.4850,1.4790,1.4720,1.4660,1.4620,1.4620,1.4650,1.4710, & + & 1.4750,1.4730,1.4660,1.4560,1.4480,1.4460,1.4510,1.4620,1.4700, & + & 1.4700,1.4610,1.4450,1.4260,1.4110,1.4050,1.4060,1.4120,1.4180, & + & 1.4230,1.4230,1.4210,1.4180,1.4140,1.4090,1.4040,1.3970,1.3900, & + & 1.3840,1.3790,1.3740,1.3690,1.3610,1.3510,1.3420,1.3330,1.3270, & + & 1.3230,1.3210,1.3160,1.3080,1.2980,1.2830,1.2660,1.2470,1.2300, & + & 1.2160,1.2090,1.2070,1.2110,1.2160,1.2170,1.2110,1.2000,1.1820, & + & 1.1610,1.1390,1.1170,1.0970,1.0790,1.0630,1.0490,1.0380,1.0280, & + & 1.0190,1.0080,0.9950,0.9810,0.9660,0.9530,0.9430,0.9340,0.9280, & + & 0.9220,0.9190,0.9150,0.9090,0.9000,0.8860,0.8660,0.8400,0.8130, & + & 0.7900,0.7760,0.7710,0.7730,0.7780,0.7790,0.7760,0.7680,0.7580, & + & 0.7520,0.7520,0.7560,0.7630,0.7730,0.7870,0.8020,0.8210,0.8450, & + & 0.8730,0.9050,0.9410,0.9840,1.0310,1.0810,1.1290,1.1760,1.2210, & + & 1.2650,1.3120,1.3630,1.4180,1.4750,1.5310,1.5880,1.6460,1.7070, & + & 1.7710,1.8370,1.9030,1.9660,2.0250,2.0820,2.1390,2.1980,2.2590, & + & 2.3200,2.3810,2.4400,2.4950,2.5490,2.6030,2.6580,2.7140,2.7720, & + & 2.8310,2.8910,2.9500,3.0030,3.0490,3.0880,3.1210,3.1510,3.1840, & + & 3.2200,3.2600,3.3040,3.3480,3.3930,3.4370,3.4820,3.5280,3.5770, & + & 3.6290,3.6840,3.7400,3.7950,3.8480,3.8950,3.9400,3.9830,4.0240, & + & 4.0640,4.1060,4.1460,4.1840,4.2180,4.2480,4.2750,4.2960,4.3130, & + & 4.3300,4.3470,4.3670,4.3890,4.4130,4.4390,4.4630,4.4850,4.5050, & + & 4.5230,4.5360,4.5420,4.5400,4.5330,4.5250,4.5190,4.5170,4.5200, & + & 4.5230,4.5240,4.5230,4.5190,4.5110,4.5000,4.4850,4.4660,4.4440, & + & 4.4260,4.4210,4.4280,4.4450,4.4640,4.4760,4.4770,4.4660,4.4490, & + & 4.4310,4.4120,4.3870,4.3540,4.3120,4.2670,4.2260,4.1950,4.1810, & + & 4.1740,4.1600 /) + + real :: msnowalb(965) = (/97.3810,97.4320,97.5420,97.6360,97.8130,97.8360,97.9740,98.0590,98.2080, & + & 98.2900,98.3790,98.5380,98.5360,98.5780,98.5650,98.5220,98.4490,98.3590, & + & 98.3240,98.2340,98.1110,98.1510,98.0970,98.0130,97.9010,97.6920,97.5250, & + & 97.2970,97.0760,96.8090,96.5850,95.9750,96.0250,95.7930,95.6150,95.3290, & + & 94.9490,94.5520,94.1700,93.9720,93.6170,93.0600,92.4990,91.8540,91.1910, & + & 90.3890,90.0660,89.9020,89.7670,88.0740,85.4770,83.9870,83.3810,82.3000, & + & 79.7740,76.1730,72.4830,68.6590,67.9870,70.8230,72.4330,72.8880,72.3670, & + & 70.0170,66.2320,60.1390,55.0300,48.2160,44.6580,44.5010,44.3870,44.9400, & + & 45.1580,45.0200,43.8600,42.6350,38.9960,21.5660,6.4470,3.2650,1.9890, & + & 1.6340,1.8050,2.0320,2.5540,3.1620,3.6430,4.2570,5.4520,6.7560, & + & 8.1060,9.4780,10.5090,11.7060,12.7990,13.9730,15.5850,17.2010,19.1400, & + & 16.5080,8.1560,3.7400,1.7400,1.0750,0.7150,0.5580,0.5410,0.5740, & + & 0.6560,0.7920,0.9950,1.3730,2.1160,3.1900,4.4140,5.6970,7.0460, & + & 8.6660,9.6390,9.5940,9.1440,8.3630,7.3170,6.2050,5.2290,4.4140, & + & 3.7100,3.2060,2.8250,2.5330,2.3520,2.2160,2.1170,2.0610,1.9720, & + & 1.9510,1.8750,1.8350,1.8090,1.7320,1.6840,1.6250,1.5760,1.5420, & + & 1.5030,1.4790,1.4690,1.4600,1.4210,1.4290,1.4430,1.4510,1.4390, & + & 1.4190,1.3970,1.3610,1.3150,1.2530,1.1880,1.1020,1.0230,0.9270, & + & 0.8490,0.7560,0.6740,0.5800,0.5480,0.5070,0.4470,0.4310,0.4230, & + & 0.3880,0.3780,0.3570,0.3310,0.3130,0.3040,0.2910,0.2740,0.2760, & + & 0.2910,0.3120,0.3660,0.4360,0.5410,0.6910,0.8110,0.9300,1.0700, & + & 1.1630,1.2620,1.3780,1.4420,1.5570,1.6740,1.8370,2.0640,2.3210, & + & 2.6550,3.0310,3.3710,3.6570,3.8060,3.7920,3.6440,3.4540,3.2730, & + & 3.1290,3.0500,3.0170,3.0000,2.9650,2.9180,2.8580,2.7630,2.6530, & + & 2.5330,2.4230,2.3380,2.2430,2.1580,2.0780,2.0320,1.9920,1.9490, & + & 1.9060,1.8750,1.8390,1.8180,1.8090,1.7800,1.7620,1.7490,1.7380, & + & 1.7240,1.6960,1.7000,1.7070,1.6810,1.6570,1.6590,1.6550,1.6480, & + & 1.6400,1.6310,1.6300,1.6200,1.6030,1.5890,1.5840,1.5840,1.5760, & + & 1.5690,1.5620,1.5500,1.5430,1.5420,1.5310,1.5110,1.5070,1.5110, & + & 1.5060,1.4940,1.4830,1.4660,1.4530,1.4590,1.4600,1.4450,1.4280, & + & 1.4170,1.4070,1.4000,1.3970,1.3890,1.3800,1.3740,1.3600,1.3470, & + & 1.3460,1.3450,1.3320,1.3170,1.3120,1.3110,1.3060,1.2990,1.2950, & + & 1.2900,1.2770,1.2670,1.2640,1.2550,1.2460,1.2460,1.2460,1.2390, & + & 1.2280,1.2160,1.2100,1.2100,1.2120,1.2090,1.2020,1.1930,1.1900, & + & 1.1910,1.1920,1.1920,1.1880,1.1860,1.1840,1.1750,1.1610,1.1510, & + & 1.1460,1.1450,1.1450,1.1460,1.1460,1.1440,1.1420,1.1410,1.1400, & + & 1.1380,1.1330,1.1280,1.1210,1.1150,1.1120,1.1120,1.1100,1.1080, & + & 1.1070,1.1070,1.1060,1.1080,1.1190,1.1280,1.1270,1.1200,1.1190, & + & 1.1250,1.1290,1.1280,1.1280,1.1320,1.1370,1.1430,1.1500,1.1570, & + & 1.1620,1.1660,1.1680,1.1700,1.1740,1.1800,1.1830,1.1830,1.1840, & + & 1.1840,1.1840,1.1810,1.1780,1.1760,1.1790,1.1850,1.1920,1.1950, & + & 1.1950,1.1910,1.1860,1.1830,1.1820,1.1830,1.1810,1.1770,1.1730, & + & 1.1710,1.1750,1.1830,1.1900,1.1930,1.1900,1.1820,1.1780,1.1780, & + & 1.1810,1.1830,1.1850,1.1870,1.1860,1.1810,1.1750,1.1720,1.1700, & + & 1.1710,1.1710,1.1710,1.1700,1.1670,1.1650,1.1620,1.1570,1.1520, & + & 1.1470,1.1450,1.1420,1.1370,1.1290,1.1210,1.1180,1.1170,1.1170, & + & 1.1140,1.1110,1.1070,1.1040,1.1020,1.1020,1.1020,1.0990,1.0950, & + & 1.0900,1.0850,1.0800,1.0760,1.0740,1.0730,1.0720,1.0720,1.0730, & + & 1.0720,1.0690,1.0640,1.0580,1.0520,1.0490,1.0490,1.0500,1.0480, & + & 1.0460,1.0430,1.0390,1.0320,1.0260,1.0200,1.0130,1.0080,1.0050, & + & 1.0040,1.0040,1.0050,1.0080,1.0100,1.0080,1.0020,0.9900,0.9820, & + & 0.9750,0.9700,0.9670,0.9630,0.9600,0.9560,0.9510,0.9450,0.9380, & + & 0.9340,0.9330,0.9340,0.9360,0.9360,0.9340,0.9300,0.9260,0.9220, & + & 0.9220,0.9260,0.9310,0.9350,0.9370,0.9340,0.9280,0.9190,0.9100, & + & 0.9040,0.8990,0.8970,0.8960,0.8960,0.8960,0.8980,0.9020,0.9060, & + & 0.9090,0.9090,0.9070,0.9000,0.8910,0.8850,0.8820,0.8840,0.8890, & + & 0.8930,0.8970,0.9000,0.9010,0.9030,0.9040,0.9050,0.9070,0.9070, & + & 0.9080,0.9090,0.9090,0.9110,0.9120,0.9130,0.9140,0.9150,0.9160, & + & 0.9170,0.9180,0.9190,0.9200,0.9220,0.9230,0.9240,0.9270,0.9280, & + & 0.9290,0.9300,0.9320,0.9340,0.9380,0.9460,0.9540,0.9590,0.9640, & + & 0.9690,0.9730,0.9750,0.9770,0.9800,0.9830,0.9850,0.9870,0.9890, & + & 0.9930,0.9950,0.9960,0.9970,0.9980,0.9970,0.9970,0.9960,0.9960, & + & 0.9960,0.9960,0.9970,0.9980,0.9990,1.0000,1.0010,1.0020,1.0010, & + & 1.0000,0.9980,0.9970,0.9950,0.9940,0.9930,0.9920,0.9900,0.9890, & + & 0.9880,0.9860,0.9850,0.9840,0.9850,0.9870,0.9930,0.9990,1.0030, & + & 1.0060,1.0090,1.0100,1.0100,1.0100,1.0100,1.0110,1.0130,1.0140, & + & 1.0170,1.0190,1.0200,1.0200,1.0180,1.0160,1.0130,1.0110,1.0110, & + & 1.0120,1.0150,1.0190,1.0230,1.0270,1.0300,1.0300,1.0300,1.0270, & + & 1.0240,1.0210,1.0170,1.0140,1.0120,1.0100,1.0080,1.0060,1.0030, & + & 1.0010,0.9980,0.9940,0.9910,0.9880,0.9860,0.9840,0.9820,0.9800, & + & 0.9790,0.9770,0.9760,0.9750,0.9730,0.9720,0.9710,0.9700,0.9690, & + & 0.9690,0.9680,0.9680,0.9670,0.9670,0.9660,0.9650,0.9630,0.9600, & + & 0.9580,0.9550,0.9530,0.9520,0.9510,0.9500,0.9500,0.9500,0.9500, & + & 0.9500,0.9510,0.9510,0.9520,0.9520,0.9520,0.9520,0.9510,0.9490, & + & 0.9470,0.9460,0.9440,0.9440,0.9440,0.9450,0.9470,0.9490,0.9510, & + & 0.9530,0.9540,0.9540,0.9540,0.9530,0.9510,0.9490,0.9480,0.9460, & + & 0.9440,0.9430,0.9410,0.9410,0.9410,0.9410,0.9410,0.9410,0.9400, & + & 0.9390,0.9380,0.9370,0.9360,0.9360,0.9370,0.9390,0.9420,0.9460, & + & 0.9490,0.9530,0.9580,0.9610,0.9630,0.9640,0.9630,0.9600,0.9560, & + & 0.9500,0.9430,0.9350,0.9280,0.9220,0.9180,0.9160,0.9160,0.9170, & + & 0.9200,0.9230,0.9260,0.9270,0.9260,0.9230,0.9190,0.9140,0.9100, & + & 0.9060,0.9020,0.9010,0.8990,0.8990,0.8980,0.8980,0.8990,0.9000, & + & 0.9010,0.9010,0.9020,0.9030,0.9020,0.9010,0.8990,0.8970,0.8950, & + & 0.8940,0.8930,0.8920,0.8910,0.8900,0.8890,0.8880,0.8870,0.8870, & + & 0.8860,0.8860,0.8840,0.8820,0.8770,0.8710,0.8630,0.8540,0.8460, & + & 0.8400,0.8350,0.8330,0.8350,0.8380,0.8430,0.8500,0.8570,0.8630, & + & 0.8670,0.8690,0.8680,0.8640,0.8580,0.8500,0.8410,0.8310,0.8210, & + & 0.8110,0.8030,0.7960,0.7900,0.7840,0.7790,0.7750,0.7700,0.7650, & + & 0.7600,0.7530,0.7460,0.7370,0.7260,0.7160,0.7060,0.6970,0.6910, & + & 0.6860,0.6830,0.6810,0.6800,0.6770,0.6730,0.6650,0.6560,0.6440, & + & 0.6320,0.6190,0.6080,0.5980,0.5900,0.5840,0.5790,0.5750,0.5710, & + & 0.5670,0.5600,0.5520,0.5420,0.5320,0.5210,0.5110,0.5020,0.4960, & + & 0.4910,0.4870,0.4840,0.4820,0.4790,0.4760,0.4730,0.4710,0.4700, & + & 0.4710,0.4740,0.4790,0.4860,0.4960,0.5080,0.5230,0.5400,0.5590, & + & 0.5790,0.5990,0.6200,0.6410,0.6630,0.6860,0.7110,0.7380,0.7680, & + & 0.7990,0.8330,0.8670,0.9010,0.9350,0.9680,1.0010,1.0330,1.0650, & + & 1.0970,1.1290,1.1620,1.1940,1.2270,1.2590,1.2910,1.3230,1.3550, & + & 1.3860,1.4170,1.4450,1.4730,1.4980,1.5220,1.5440,1.5650,1.5850, & + & 1.6060,1.6270,1.6470,1.6680,1.6900,1.7120,1.7350,1.7580,1.7810, & + & 1.8040,1.8270,1.8480,1.8700,1.8900,1.9100,1.9290,1.9470,1.9640, & + & 1.9810,1.9980,2.0150,2.0310,2.0490,2.0670,2.0850,2.1030,2.1210, & + & 2.1390,2.1550,2.1710,2.1870,2.2030,2.2180,2.2330,2.2480,2.2620, & + & 2.2740,2.2850,2.2960,2.3040,2.3120,2.3180,2.3220,2.3260,2.3300, & + & 2.3340,2.3390,2.3460,2.3540,2.3630,2.3720,2.3800,2.3860,2.3890, & + & 2.3890,2.3860,2.3810,2.3750,2.3680,2.3620,2.3560,2.3510,2.3460, & + & 2.3420,2.3390,2.3360,2.3340,2.3330,2.3310,2.3290,2.3260,2.3220, & + & 2.3180,2.3130,2.3100,2.3090,2.3080,2.3090,2.3080,2.3040,2.2960, & + & 2.2810,2.2600 /) + + real :: fsnowalb(965) = (/98.5210,98.6350,98.6700,98.7120,98.7790,98.8680,98.8450,98.9540,98.9610, & + & 99.0500,99.1250,99.2070,99.2820,99.2250,99.1880,99.2370,99.0990,99.1030, & + & 99.1020,99.1160,98.9910,98.9690,98.9930,98.9200,98.8790,98.7640,98.6570, & + & 98.5730,98.3690,98.2560,98.1060,97.7940,97.7790,97.7460,97.6460,97.4890, & + & 96.7700,97.0330,96.7160,96.6300,96.2220,95.9270,95.4900,95.5320,95.1660, & + & 94.6110,94.6240,94.5270,94.3100,93.3850,91.5990,91.2340,90.6630,90.1130, & + & 88.4780,86.1840,83.8720,82.0690,81.4550,83.1620,82.1010,84.7800,84.4700, & + & 82.9290,80.1690,75.9630,65.0150,67.5290,65.9010,64.8110,64.6430,65.2040, & + & 63.2540,65.8620,65.4960,64.2190,60.9990,44.1790,20.6330,13.9170,9.8620, & + & 8.5270,9.1870,9.9920,11.9100,13.6980,15.3350,16.5310,20.2890,20.9180, & + & 24.5220,28.3510,28.3660,29.4560,32.7410,35.2040,36.9860,38.7430,40.9240, & + & 37.5480,24.9240,15.3950,9.0950,6.2970,4.4940,3.6270,3.5060,3.6890, & + & 4.2150,5.0350,6.1990,8.1690,11.1840,13.9240,17.5410,20.1650,22.8010, & + & 26.3190,28.3300,27.8650,26.8480,25.0320,22.5830,19.9560,17.5520,15.3820, & + & 13.3700,11.7490,10.4760,9.5200,8.8530,8.3410,8.0240,7.7990,7.6360, & + & 7.4400,7.2310,6.9970,6.7890,6.5870,6.3510,6.1360,5.9150,5.7040, & + & 5.5560,5.4300,5.3400,5.2720,5.2760,5.2940,5.3000,5.3570,5.3790, & + & 5.2740,5.2360,5.1410,4.9320,4.6360,4.4280,4.0220,3.5180,2.8720, & + & 2.3400,1.7760,1.3320,0.9540,0.6770,0.5140,0.3780,0.3210,0.2640, & + & 0.2400,0.2350,0.2140,0.1900,0.1930,0.1480,0.1660,0.1710,0.1600, & + & 0.2100,0.1690,0.2100,0.2460,0.3040,0.3370,0.4280,0.5060,0.5860, & + & 0.6630,0.7190,0.7860,0.7970,0.8760,0.9160,1.0290,1.1780,1.2890, & + & 1.4920,1.7850,2.0290,2.3160,2.5890,2.7750,2.7460,2.5550,2.3160, & + & 2.1490,2.0570,2.0130,2.0030,2.0260,2.0420,2.0510,1.9820,1.9340, & + & 1.8640,1.7710,1.7000,1.6370,1.5850,1.5150,1.4780,1.4190,1.3810, & + & 1.3340,1.3090,1.3030,1.2660,1.2370,1.2160,1.2230,1.2200,1.1860, & + & 1.1730,1.1720,1.1580,1.1530,1.1390,1.1320,1.1310,1.1460,1.1470, & + & 1.1490,1.1580,1.1700,1.1670,1.1720,1.1860,1.2030,1.2210,1.2150, & + & 1.2240,1.2520,1.2750,1.2840,1.2860,1.2800,1.2810,1.2800,1.2860, & + & 1.2830,1.2730,1.2630,1.2360,1.2300,1.2140,1.1780,1.1460,1.1430, & + & 1.1320,1.0970,1.0680,1.0480,1.0360,1.0100,0.9780,0.9690,0.9610, & + & 0.9390,0.9150,0.9050,0.8920,0.8870,0.8840,0.8730,0.8470,0.8370, & + & 0.8390,0.8280,0.8120,0.7950,0.7960,0.7960,0.7840,0.7710,0.7670, & + & 0.7590,0.7550,0.7580,0.7540,0.7450,0.7320,0.7250,0.7280,0.7230, & + & 0.7210,0.7200,0.7140,0.7200,0.7180,0.7050,0.7050,0.7060,0.6910, & + & 0.6810,0.6860,0.6870,0.6690,0.6610,0.6700,0.6720,0.6560,0.6470, & + & 0.6550,0.6580,0.6510,0.6460,0.6410,0.6400,0.6400,0.6390,0.6380, & + & 0.6380,0.6320,0.6290,0.6350,0.6320,0.6360,0.6470,0.6460,0.6390, & + & 0.6350,0.6380,0.6430,0.6400,0.6280,0.6310,0.6540,0.6740,0.6740, & + & 0.6630,0.6560,0.6540,0.6560,0.6660,0.6730,0.6680,0.6630,0.6640, & + & 0.6700,0.6720,0.6710,0.6760,0.6880,0.6940,0.6880,0.6790,0.6820, & + & 0.6870,0.6880,0.6900,0.6930,0.6950,0.6990,0.7030,0.7020,0.7000, & + & 0.7000,0.7040,0.7110,0.7190,0.7290,0.7330,0.7330,0.7370,0.7390, & + & 0.7330,0.7290,0.7350,0.7440,0.7440,0.7290,0.7220,0.7310,0.7400, & + & 0.7380,0.7290,0.7270,0.7340,0.7420,0.7420,0.7350,0.7280,0.7210, & + & 0.7190,0.7200,0.7190,0.7110,0.7010,0.6960,0.6970,0.6950,0.6890, & + & 0.6820,0.6770,0.6730,0.6660,0.6560,0.6470,0.6430,0.6460,0.6500, & + & 0.6490,0.6420,0.6310,0.6250,0.6230,0.6200,0.6140,0.6090,0.6090, & + & 0.6130,0.6090,0.5980,0.5860,0.5770,0.5800,0.5820,0.5780,0.5660, & + & 0.5590,0.5610,0.5680,0.5730,0.5730,0.5700,0.5600,0.5490,0.5430, & + & 0.5410,0.5400,0.5380,0.5360,0.5310,0.5270,0.5190,0.5090,0.5050, & + & 0.5060,0.5080,0.5080,0.5030,0.4990,0.4970,0.4980,0.5000,0.4980, & + & 0.4910,0.4800,0.4720,0.4750,0.4840,0.4910,0.4890,0.4770,0.4640, & + & 0.4640,0.4720,0.4780,0.4740,0.4630,0.4510,0.4460,0.4520,0.4590, & + & 0.4620,0.4600,0.4580,0.4540,0.4520,0.4520,0.4560,0.4610,0.4640, & + & 0.4610,0.4530,0.4450,0.4350,0.4330,0.4430,0.4580,0.4660,0.4630, & + & 0.4560,0.4470,0.4460,0.4500,0.4530,0.4510,0.4420,0.4330,0.4320, & + & 0.4350,0.4450,0.4530,0.4630,0.4700,0.4730,0.4740,0.4750,0.4770, & + & 0.4770,0.4770,0.4750,0.4720,0.4700,0.4700,0.4710,0.4720,0.4700, & + & 0.4660,0.4580,0.4500,0.4460,0.4440,0.4490,0.4580,0.4660,0.4710, & + & 0.4740,0.4730,0.4720,0.4730,0.4760,0.4780,0.4790,0.4800,0.4810, & + & 0.4850,0.4880,0.4900,0.4920,0.4920,0.4910,0.4860,0.4830,0.4830, & + & 0.4860,0.4970,0.5090,0.5140,0.5160,0.5140,0.5110,0.5100,0.5120, & + & 0.5160,0.5180,0.5170,0.5120,0.5050,0.4990,0.4950,0.4980,0.5020, & + & 0.5040,0.5030,0.4980,0.4930,0.4900,0.4910,0.4980,0.5080,0.5130, & + & 0.5160,0.5180,0.5190,0.5190,0.5190,0.5200,0.5210,0.5240,0.5270, & + & 0.5300,0.5310,0.5260,0.5150,0.5060,0.4990,0.4950,0.4960,0.5000, & + & 0.5060,0.5120,0.5150,0.5160,0.5140,0.5110,0.5090,0.5070,0.5070, & + & 0.5090,0.5110,0.5110,0.5080,0.5020,0.4930,0.4860,0.4820,0.4820, & + & 0.4860,0.4920,0.4960,0.4960,0.4930,0.4880,0.4820,0.4790,0.4760, & + & 0.4760,0.4760,0.4760,0.4760,0.4780,0.4800,0.4810,0.4820,0.4830, & + & 0.4820,0.4800,0.4770,0.4740,0.4700,0.4670,0.4650,0.4630,0.4610, & + & 0.4580,0.4550,0.4540,0.4550,0.4600,0.4680,0.4770,0.4850,0.4910, & + & 0.4920,0.4890,0.4830,0.4750,0.4690,0.4650,0.4650,0.4670,0.4710, & + & 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0.4730,0.4670,0.4570,0.4440,0.4280,0.4120,0.3980,0.3890,0.3850, & + & 0.3830,0.3800,0.3710,0.3580,0.3410,0.3250,0.3130,0.3070,0.3060, & + & 0.3090,0.3090,0.3050,0.2980,0.2890,0.2790,0.2680,0.2600,0.2530, & + & 0.2470,0.2430,0.2410,0.2420,0.2430,0.2460,0.2490,0.2510,0.2500, & + & 0.2460,0.2400,0.2340,0.2280,0.2250,0.2220,0.2190,0.2160,0.2140, & + & 0.2140,0.2170,0.2230,0.2310,0.2400,0.2480,0.2560,0.2650,0.2760, & + & 0.2900,0.3090,0.3300,0.3510,0.3710,0.3860,0.3970,0.4050,0.4120, & + & 0.4220,0.4330,0.4470,0.4640,0.4820,0.5010,0.5220,0.5450,0.5690, & + & 0.5930,0.6160,0.6350,0.6500,0.6600,0.6670,0.6710,0.6740,0.6790, & + & 0.6890,0.7050,0.7260,0.7510,0.7770,0.7980,0.8140,0.8230,0.8270, & + & 0.8310,0.8380,0.8490,0.8660,0.8840,0.9010,0.9150,0.9260,0.9340, & + & 0.9420,0.9520,0.9640,0.9790,0.9940,1.0090,1.0210,1.0320,1.0390, & + & 1.0440,1.0480,1.0520,1.0590,1.0690,1.0830,1.0990,1.1150,1.1260, & + & 1.1320,1.1330,1.1330,1.1350,1.1430,1.1560,1.1700,1.1790,1.1820, & + & 1.1780,1.1690,1.1570,1.1490,1.1460,1.1500,1.1610,1.1750,1.1880, & + & 1.1960,1.1940,1.1820,1.1630,1.1420,1.1230,1.1120,1.1100,1.1170, & + & 1.1280,1.1350,1.1360,1.1270,1.1130,1.0990,1.0920,1.0950,1.1060, & + & 1.1200,1.1280,1.1280,1.1170,1.0990,1.0770,1.0580,1.0440,1.0400, & + & 1.0440,1.0500,1.0660,1.0760,1.0790,1.0700,1.0520,1.0340,1.0200, & + & 1.0100,1.0100 /) + + real :: groundblend(965) = (/12.6184,12.6184,12.6184,12.6184,12.6184,12.6184,12.6184,13.1161, & + & 13.5867,14.1196,14.7424,15.2969,15.2550,15.6031,15.8681,16.3757, & + & 16.6847,17.1698,17.6965,18.0291,18.4459,18.8582,19.7512,20.3127, & + & 20.5441,20.9867,21.2748,21.4852,21.6601,21.8871,22.0959,22.3769, & + & 22.5555,22.6841,22.8859,23.1235,23.1722,23.3581,23.6036,23.7318, & + & 23.9446,23.9542,24.0230,24.1734,24.1251,24.1392,24.3469,24.3035, & + & 24.1023,23.9795,23.6917,23.4389,23.3111,23.2013,23.0616,22.9689, & + & 23.1830,23.5632,23.7520,24.0554,24.2983,24.4708,24.6850,24.6702, & + & 24.3875,24.3069,24.4843,24.7049,24.8939,25.0117,25.0568,24.9801, & + & 24.8849,24.7795,24.5999,24.2513,23.6281,23.0756,22.9904,23.2346, & + & 23.4023,23.7440,23.9070,24.0748,24.4747,24.6725,25.0065,25.0427, & + & 25.3064,25.2820,25.3311,24.9252,24.4807,24.1382,24.0793,24.1720, & + & 24.4702,24.5874,24.3143,23.8518,22.6322,20.9508,20.5339,21.2402, & + & 21.4860,21.7359,22.3565,22.7591,23.1622,23.1278,23.2192,23.0662, & + & 22.9350,22.8464,22.6460,22.3771,22.0274,21.9255,21.9643,21.9098, & + & 21.9174,21.8881,21.8306,21.6983,21.6164,21.5285,21.4726,21.3897, & + & 21.2695,21.1804,21.1874,21.0888,20.9989,20.8369,20.7698,20.6752, & + & 20.5616,20.4998,20.3843,20.3119,20.2465,20.1921,20.1192,20.0303, & + & 19.9051,20.5181,20.5511,20.4673,20.3303,20.3783,20.3147,20.2802, & + & 20.3099,20.1966,20.1630,20.1259,19.9596,19.8334,19.8770,19.5972, & + & 19.2134,18.5325,17.8574,16.4800,14.6280,13.8308,13.1163,12.4486, & + & 11.9491,11.6487,11.3945,11.4007,11.3356,11.3736,11.4299,11.3093, & + & 11.3615,11.3210,11.3192,11.3509,11.2981,11.3254,11.2479,11.2040, & + & 11.2245,11.3198,11.1707,11.2782,11.2528,11.1918,11.3169,11.3154, & + & 11.3594,11.3931,11.4678,11.4829,11.5074,11.5281,11.6097,11.6884, & + & 11.6797,11.6617,11.7554,11.8200,11.8374,11.9067,12.0302,12.0630, & + & 12.1658,12.3165,12.4339,12.5477,12.6119,12.6780,12.7953,12.9337, & + & 12.9967,13.1742,13.2295,13.3202,13.4792,13.5765,13.6835,13.8198, & + & 13.8555,14.0722,14.1067,14.1761,14.2259,14.2250,14.2846,14.3322, & + & 14.3424,14.4607,14.5394,14.5393,14.6360,14.7817,14.9949,15.0743, & + & 15.2085,15.2436,15.2829,15.3453,15.4313,15.5978,15.9001,16.1327, & + & 16.2750,16.4356,16.5749,16.6471,16.7713,16.8856,16.9990,17.0809, & + & 17.1626,17.2430,17.3521,17.4067,17.4680,17.5638,17.6095,17.6486, & + & 17.7019,17.7573,17.7642,17.8256,17.8607,17.9032,17.9301,17.9884, & + & 18.0488,17.9857,17.9823,17.9251,17.8695,17.7879,17.7272,17.7236, & + & 17.6404,17.6509,17.6716,17.6807,17.6908,17.6447,17.5986,17.5476, & + & 17.4500,17.2547,17.1026,16.9764,16.9326,16.9822,17.0983,17.2506, & + & 17.3612,17.4659,17.5732,17.6433,17.6524,17.6560,17.6229,17.5708, & + & 17.5651,17.4985,17.4318,17.3933,17.3414,17.2616,17.2423,17.1257, & + & 17.0959,17.0166,16.9363,16.8619,16.7482,16.6415,16.6052,16.5912, & + & 16.5002,16.3664,16.2904,16.2502,16.2004,16.1755,16.1584,16.1065, & + & 15.9991,15.9238,15.8043,15.6901,15.5448,15.4169,15.2921,15.1880, & + & 15.0799,14.9855,14.8754,14.8085,14.7168,14.6476,14.6086,14.5781, & + & 14.5634,14.5850,14.6578,14.7004,14.6860,14.6632,14.6701,14.6026, & + & 14.5375,14.4678,14.3761,14.2805,14.1601,14.0407,13.8858,13.7244, & + & 13.5898,13.4532,13.3642,13.3278,13.3654,13.3688,13.3402,13.3068, & + & 13.2451,13.1720,13.0793,13.0060,12.9538,12.8837,12.7927,12.6968, & + & 12.6361,12.5646,12.4567,12.3606,12.1931,12.0676,11.9173,11.7557, & + & 11.5970,11.4510,11.3102,11.1767,11.0563,10.9637,10.8623,10.7821, & + & 10.6982,10.6156,10.5213,10.4711,10.4130,10.3640,10.3020,10.3008, & + & 10.2512,10.1942,10.1370,10.1063,10.0780,10.0089,9.9590,9.8962, & + & 9.8242,9.7567,9.7058,9.6345,9.5636,9.4881,9.3874,9.2630, & + & 9.1781,9.0745,8.9465,8.8267,8.6807,8.5982,8.4913,8.3825, & + & 8.3243,8.2706,8.1985,8.1500,8.1151,8.0704,8.0800,8.1049, & + & 8.1130,8.1350,8.1348,8.1288,8.1047,8.0793,8.0591,8.0357, & + & 7.9936,7.9379,7.8745,7.8325,7.7627,7.6875,7.6269,7.5488, & + & 7.4562,7.3633,7.2617,7.2284,7.2010,7.2016,7.2001,7.1939, & + & 7.1617,7.1612,7.1339,7.0978,7.0784,7.0573,7.0481,7.0023, & + & 6.9599,6.9226,6.8862,6.8443,6.7843,6.7479,6.7064,6.6591, & + & 6.6226,6.5819,6.5360,6.4752,6.4218,6.3694,6.3328,6.2544, & + & 6.1890,6.1318,6.0348,5.9585,5.9211,5.8629,5.7906,5.7092, & + & 5.6701,5.6078,5.5355,5.4860,5.4313,5.3857,5.3313,5.2859, & + & 5.2385,5.1952,5.1513,5.1139,5.0893,5.0638,5.0550,5.0086, & + & 4.9703,4.9475,4.9244,4.9099,4.9226,4.9470,4.9421,4.9385, & + & 4.9427,4.9619,4.9915,5.0244,5.0511,5.0653,5.0664,5.0814, & + & 5.1122,5.1381,5.1479,5.1766,5.2168,5.2295,5.2354,5.2516, & + & 5.2754,5.3087,5.3283,5.3277,5.3314,5.3305,5.3169,5.3326, & + & 5.3326,5.3364,5.3582,5.3414,5.3136,5.2865,5.2521,5.2498, & + & 5.2160,5.1982,5.1895,5.1839,5.1757,5.1376,5.1120,5.1008, & + & 5.0761,5.0466,5.0374,5.0125,4.9710,4.9557,4.9417,4.9324, & + & 4.9203,4.9166,4.8914,4.8886,4.8842,4.8565,4.8489,4.8360, & + & 4.7995,4.7643,4.7487,4.7143,4.6870,4.6668,4.6179,4.5856, & + & 4.5697,4.5488,4.5421,4.5111,4.4641,4.4483,4.4327,4.4067, & + & 4.3810,4.3510,4.3223,4.2969,4.2570,4.2223,4.2106,4.2125, & + & 4.2110,4.1582,4.1191,4.1079,4.0939,4.0732,4.0522,4.0470, & + & 4.0512,4.0424,4.0105,3.9693,3.9509,3.9513,3.9344,3.9017, & + & 3.8649,3.8250,3.7820,3.7754,3.7497,3.7175,3.7048,3.6828, & + & 3.6612,3.6259,3.5876,3.5685,3.5571,3.5387,3.5138,3.4793, & + & 3.4621,3.4453,3.4188,3.4017,3.3889,3.3635,3.3374,3.3228, & + & 3.3096,3.2546,3.2245,3.2081,3.2099,3.1913,3.1489,3.1260, & + & 3.0983,3.0680,3.0478,3.0227,2.9910,2.9602,2.9270,2.9108, & + & 2.8865,2.8699,2.8547,2.8316,2.8010,2.7639,2.7441,2.7485, & + & 2.7655,2.7509,2.7166,2.7018,2.6920,2.6869,2.6813,2.6687, & + & 2.6681,2.6712,2.6501,2.6224,2.6040,2.6053,2.6114,2.6119, & + & 2.6208,2.6293,2.6371,2.6762,2.6648,2.6529,2.6583,2.6728, & + & 2.7383,2.7730,2.7993,2.8363,2.8664,2.8767,2.9176,2.9908, & + & 3.0922,3.1485,3.2171,3.2823,3.4467,3.5517,3.6423,3.7126, & + & 3.9180,4.0334,4.1374,4.2246,4.3893,4.4814,4.5543,4.6942, & + & 4.7526,4.8106,4.9626,5.0164,5.0367,5.0784,5.1650,5.1808, & + & 5.2165,5.3260,5.3665,5.4005,5.4427,5.5128,5.6723,5.7514, & + & 5.8222,5.9424,5.9989,6.0508,6.1457,6.1896,6.2694,6.3202, & + & 6.3431,6.3213,6.2696,6.1697,6.1763,6.2059,6.2143,6.2634, & + & 6.3905,6.4496,6.5232,6.5432,6.5829,6.5985,6.5988,6.6125, & + & 6.6226,6.6250,6.6656,6.6790,6.6302,6.6118,6.6070,6.5795, & + & 6.5072,6.4845,6.4341,6.4042,6.3804,6.3459,6.2554,6.2622, & + & 6.2601,6.1893,6.1617,6.1390,6.1182,6.1053,6.1012,6.0901, & + & 6.0498,6.0072,6.0075,5.9882,5.9669,5.9460,5.8917,5.8639, & + & 5.8464,5.7981,5.7618,5.7696,5.7868,5.7570,5.7041,5.6768, & + & 5.6499,5.6320,5.6487,5.6801,5.6760,5.6729,5.6779,5.6965, & + & 5.7084,5.6992,5.7195,5.7890,5.7691,5.7644,5.7810,5.7462, & + & 5.7309,5.7364,5.7244,5.6696,5.6259,5.6083,5.5939,5.5681, & + & 5.5307,5.5132,5.4851,5.4321,5.4173,5.4214,5.3740,5.3250, & + & 5.2817,5.2382,5.2012,5.1801,5.1502,5.1116,5.0813,5.0499, & + & 4.9904,4.9559,4.8783,4.8600,4.8729,4.8856,4.8827,4.8824, & + & 4.8918,4.9303,4.9456,4.9209,4.9158,4.9436,4.9400,4.9219, & + & 4.9391,4.9415,4.9229,4.8960,4.8686,4.8793,4.9081,4.8903, & + & 4.8385,4.8073,4.8243,4.8351,4.8122,4.8071,4.8227,4.7952, & + & 4.7427,4.7340,4.6818,4.6315,4.5909,4.5907,4.5551,4.4885, & + & 4.4819,4.4468,4.3990,4.4123,4.3882,4.3215,4.2887,4.2501, & + & 4.2489,4.2381,4.2184,4.1917,4.1648,4.1390,4.0738,4.0483, & + & 4.0298,4.0136,3.9928,3.9654,3.9546,3.8933,3.8531,3.8062, & + & 3.7705,3.7849,3.7704,3.7301,3.7187,3.7163,3.7524,3.7590, & + & 3.7283,3.7220,3.6777,3.6713,3.6646,3.6649,3.7132,3.6957, & + & 3.6641,3.6692,3.6465,3.5626,3.4967,3.4370,3.3826,3.2979, & + & 3.1938,3.0922,2.9820,2.8385,2.7622,2.7300,2.7205,2.7075, & + & 2.5697,2.4529,2.4551,2.5290,2.4643,2.3695,2.3853,2.3698, & + & 2.3235,2.3492,2.3354,2.3328,2.2808,2.1591,2.0505,1.9828, & + & 2.0443,2.0528,2.1298,2.0987,1.9916,2.0043,1.9213,1.9423, & + & 2.0312,2.0010,1.7628,1.7760,2.0828,2.0650,1.8917,1.9262, & + & 1.8328,1.6978,1.8787,2.0174,1.6473,1.3033,1.4262,1.6316, & + & 1.5811,1.6315,1.3217,1.1069,1.0377 /) + + + real :: oceanblend(965) = (/8.6100,8.6100,8.6100,8.6100,8.6100,8.6100,8.6100,8.6100, & + & 8.6100,8.6100,8.6100,8.6100,8.6100,8.6100,8.6100,8.6100, & + & 8.6100,9.0300,9.2400,9.8700,10.5000,11.3400,11.7600,12.6000, & + & 12.8100,11.9700,11.1300,10.5000,9.8700,9.6600,9.2400,9.0300, & + & 8.4000,7.7700,7.5600,6.7200,6.0900,5.7601,5.2149,5.5982, & + & 5.7401,5.5656,5.5656,5.5772,5.7763,5.4407,5.6099,5.2616, & + & 5.2769,5.4863,5.4848,5.1626,5.5163,5.3296,5.1626,5.1626, & + & 4.9919,4.9946,4.9925,4.9936,5.1828,4.9789,4.7697,4.9237, & + & 4.3877,4.7231,4.7095,5.0749,4.6813,4.4959,4.4982,4.4778, & + & 4.4371,4.6061,4.6353,4.6231,4.6032,4.5761,4.2170,4.5816, & + & 4.7636,4.3989,4.7510,4.1914,4.5454,4.3672,4.5536,4.5497, & + & 4.1914,4.3672,4.3596,4.3672,4.3825,4.1786,4.5268,4.1822, & + & 4.5081,4.5196,4.0234,4.5431,3.9995,3.9850,4.0223,4.0074, & + & 4.0089,3.9866,4.0200,4.4012,4.0167,4.0377,4.0851,4.1132, & + & 4.0926,4.0534,4.0568,3.9984,3.9687,3.9475,3.9339,3.9033, & + & 3.8861,3.8625,3.8395,3.8147,3.8004,3.8197,3.7830,3.7617, & + & 3.7403,3.7296,3.7065,3.6817,3.6779,3.6339,3.6330,3.5962, & + & 3.5901,3.5694,3.5316,3.4858,3.4517,3.4235,3.4039,3.3566, & + & 3.3312,3.2894,3.2250,3.1374,3.0939,2.9001,2.7200,2.7455, & + & 2.6507,2.6178,2.6916,2.5111,2.2680,2.1656,2.6132,2.4038, & + & 2.1991,1.6537,1.7645,1.8315,1.7004,1.3285,1.1074,1.3145, & + & 0.9778,1.2685,1.2194,1.2591,1.4264,1.5254,1.6796,1.9632, & + & 2.1370,2.4615,2.7867,3.0683,3.4834,3.8237,4.2527,4.6603, & + & 4.9764,5.4629,5.8116,6.2535,6.5925,6.8511,7.1084,7.2837, & + & 7.4632,7.5555,7.6641,7.7101,7.7935,7.8964,7.9813,8.0281, & + & 8.1326,8.2135,8.2674,8.3340,8.3735,8.3848,8.4327,8.3861, & + & 8.3656,8.3182,8.2603,8.1835,8.0998,7.9879,7.8703,7.7641, & + & 7.6862,7.5938,7.4870,7.3975,7.2890,7.2033,7.1054,7.0528, & + & 6.9413,6.8987,6.7921,6.7285,6.6563,6.5862,6.5230,6.4614, & + & 6.3768,6.3468,6.2919,6.2568,6.1882,6.1617,6.0936,6.0290, & + & 6.0019,5.9537,5.9117,5.8579,5.8185,5.7956,5.7597,5.7276, & + & 5.7010,5.6725,5.6259,5.5939,5.5776,5.5342,5.5207,5.4968, & + & 5.4731,5.4575,5.4180,5.4202,5.3891,5.3712,5.3543,5.3331, & + & 5.3131,5.2817,5.2771,5.2617,5.2293,5.2337,5.2035,5.1973, & + & 5.1769,5.1593,5.1449,5.1297,5.1086,5.0837,5.0866,5.0680, & + & 5.0597,5.0457,5.0301,5.0094,4.9950,4.9808,4.9662,4.9647, & + & 4.9528,4.9331,4.9142,4.9043,4.8923,4.8907,4.8904,4.8686, & + & 4.8508,4.8395,4.8280,4.8225,4.8098,4.8114,4.7849,4.7709, & + & 4.7629,4.7472,4.7433,4.7357,4.7302,4.7239,4.7186,4.7100, & + & 4.7005,4.6854,4.6742,4.6800,4.6643,4.6502,4.6384,4.6288, & + & 4.6323,4.6289,4.6217,4.6238,4.6136,4.6042,4.6039,4.5949, & + & 4.5817,4.5781,4.5768,4.5680,4.5594,4.5486,4.5470,4.5530, & + & 4.5441,4.5366,4.5282,4.5239,4.5283,4.5201,4.5079,4.5091, & + & 4.5079,4.5028,4.4928,4.4850,4.4875,4.4824,4.4794,4.4929, & + & 4.4842,4.4760,4.4827,4.4816,4.4796,4.4805,4.4821,4.4741, & + & 4.4721,4.4715,4.4692,4.4763,4.4856,4.4798,4.4675,4.4702, & + & 4.4730,4.4727,4.4729,4.4783,4.4735,4.4683,4.4692,4.4639, & + & 4.4684,4.4657,4.4453,4.4400,4.4552,4.4601,4.4572,4.4445, & + & 4.4354,4.4432,4.4429,4.4296,4.4321,4.4041,4.3918,4.4105, & + & 4.4310,4.4194,4.4144,4.3459,4.3066,4.3317,4.3847,4.3818, & + & 4.3841,4.3496,4.3021,4.2975,4.3190,4.3124,4.3100,4.2832, & + & 4.1842,4.1561,4.2184,4.2842,4.2751,4.2073,4.0766,4.0114, & + & 4.0714,4.1286,4.1431,4.1598,4.1786,4.1482,4.0526,3.9942, & + & 4.0275,4.0987,4.1354,4.1168,3.9071,3.7592,3.8145,4.0101, & + & 4.0623,4.0533,4.0281,3.7681,3.6266,3.6794,3.9063,3.8414, & + & 3.6487,3.5340,3.6221,3.7912,3.8620,3.7787,3.7152,3.7026, & + & 3.6401,3.5811,3.4539,3.3147,3.3155,3.3826,3.5150,3.5338, & + & 3.4505,3.2138,2.9946,3.0031,3.1687,3.2797,3.2421,3.1923, & + & 3.0661,2.9014,2.8597,2.8950,2.9967,2.7877,2.5615,2.5773, & + & 2.7607,3.1036,3.1137,2.7483,2.4580,2.4524,2.6601,2.8446, & + & 2.6615,2.3116,2.0539,2.0871,2.3828,2.7313,2.6384,2.3990, & + & 2.3777,2.5154,2.7626,2.7618,2.7011,2.8689,3.0405,3.3237, & + & 3.5784,3.2856,3.0299,2.7883,2.7653,3.2715,3.8505,4.0199, & + & 4.0043,3.9528,4.0513,4.4006,4.6546,4.6538,4.5513,4.4284, & + & 4.4509,4.5898,4.7203,4.9886,5.0597,5.0029,5.0255,5.0112, & + & 4.9786,4.9478,4.9211,4.9202,4.9346,4.9485,4.7265,4.3834, & + & 4.1913,3.9960,3.9525,4.1482,4.2598,3.9459,3.4997,3.0630, & + & 2.9382,3.1959,3.8237,4.1536,4.0049,3.5234,3.0505,2.9005, & + & 2.9765,3.3332,3.7483,3.8791,3.7534,3.5495,3.2767,3.0490, & + & 3.0996,3.3365,3.6030,3.5365,3.2100,3.0448,3.1009,3.3088, & + & 3.5731,3.8200,3.7998,3.6323,3.5885,3.6466,3.7144,3.8311, & + & 4.0670,4.2050,4.0256,3.6766,3.4791,3.4644,3.5290,3.7098, & + & 3.9504,3.9272,3.5399,3.2743,3.2254,3.2825,3.4470,3.7412, & + & 3.9700,4.0312,4.0746,4.0301,3.9083,3.7810,3.6711,3.6335, & + & 3.7157,3.8702,3.9714,3.9317,3.7918,3.6433,3.5464,3.5514, & + & 3.6543,3.8265,4.0059,4.0443,4.0000,3.9565,3.9003,3.8198, & + & 3.6990,3.6177,3.6058,3.6248,3.6684,3.7298,3.7971,3.8520, & + & 3.8600,3.9001,3.9419,3.8995,3.8114,3.7541,3.7381,3.7709, & + & 3.8030,3.7982,3.7536,3.7003,3.6817,3.6954,3.7392,3.8079, & + & 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3.2770,3.2718,3.2571,3.2477,3.2381,3.2320,3.2197,3.2102, & + & 3.2061,3.1836,3.1709,3.1442,3.1226,3.1107,3.0931,3.0835, & + & 3.0655,3.0503,3.0490,3.0504,3.0510,3.0451,3.0336,3.0236, & + & 3.0066,2.9815,2.9726,2.9564,2.9434,2.9370,2.9328,2.9281, & + & 2.9157,2.9023,2.8746,2.8481,2.8380,2.8201,2.8108,2.7930, & + & 2.7838,2.7673,2.7500,2.7285,2.7204,2.7148,2.7005,2.6834, & + & 2.6753,2.6623,2.6541,2.6351,2.6275,2.6191,2.6050,2.5848, & + & 2.5662,2.5553,2.5354,2.5141,2.4971,2.4784,2.4593,2.4345, & + & 2.4208,2.4068,2.3911,2.3759,2.3648,2.3510,2.3356,2.3197, & + & 2.3095,2.3013,2.2720,2.2553,2.2397,2.2213,2.2013,2.1794, & + & 2.1650,2.1463,2.1311,2.1186,2.1050,2.0864,2.0737,2.0565, & + & 2.0429,2.0195,2.0062,1.9902,1.9761,1.9637,1.9596,1.9513, & + & 1.9457,1.9323,1.9214,1.9073,1.8947,1.8887,1.8845,1.8754, & + & 1.8665,1.8625,1.8667,1.8683,1.8688,1.8629,1.8604,1.8566, & + & 1.8581,1.8605,1.8759,1.8851,1.8904,1.8910,1.8985,1.9127, & + & 1.9223,1.9357,1.9488,1.9619,1.9857,2.0006,2.0286,2.0463, & + & 2.0739,2.0935,2.1283,2.1477,2.1855,2.2233,2.2515,2.2917, & + & 2.3225,2.3720,2.4281,2.4597,2.5075,2.5498,2.5800,2.6260, & + & 2.6819,2.7217,2.7875,2.8485,2.9179,2.9587,3.0250,3.0838, & + & 3.1427,3.1808,3.2408,3.3011,3.3685,3.4349,3.5062,3.5745, & + & 3.6213,3.6889,3.7709,3.8521,3.9392,4.0205,4.1067,4.1912, & + & 4.2751,4.3477,4.4270,4.5041,4.5897,4.6982,4.7881,4.8784, & + & 4.9677,5.0490,5.1315,5.2068,5.3118,5.3850,5.4600,5.5371, & + & 5.6523,5.7281,5.8095,5.8904,6.0019,6.0819,6.1578,6.2592, & + & 6.3457,6.4465,6.5356,6.6451,6.7307,6.8207,6.8903,6.9704, & + & 7.0388,7.1376,7.2289,7.3337,7.4116,7.4993,7.6031,7.6662, & + & 7.7564,7.8537,7.9795,8.0533,8.1285 /) + + real :: iceblend(965) = (/93.9279,94.0152,94.1161,94.1824,94.2934,94.3482,94.4080,94.5192, & + & 94.5675,94.6835,94.7243,94.8950,94.9239,94.9201,94.8779,94.8594, & + & 94.7844,94.7508,94.7163,94.6971,94.5666,94.5515,94.5222,94.4587, & + & 94.3891,94.2622,94.0885,93.7887,93.6956,93.4993,93.2946,92.9733, & + & 92.8670,92.6435,92.5630,92.3357,91.8468,91.6834,91.3786,91.2111, & + & 90.8737,90.4628,89.9638,89.5376,88.9658,88.4519,88.1867,87.9585, & + & 87.8527,86.5087,84.3780,83.3598,82.7828,81.9764,79.9218,77.1669, & + & 73.7877,71.3417,70.7930,72.9530,73.6136,74.5081,74.1718,72.3371, & + & 69.3242,64.5023,58.6114,53.9014,52.6933,52.0273,52.1014,51.8706, & + & 52.1507,52.6195,51.9156,50.8099,47.9984,33.3666,16.2009,11.5982, & + & 8.9832,7.7952,8.2687,8.5071,10.0664,11.6104,12.4156,12.5491, & + & 15.9024,16.8694,19.3283,20.9409,21.9506,22.5154,24.4472,25.0658, & + & 27.4171,28.4386,30.6774,27.9112,19.0082,12.2929,8.0200,6.0108, & + & 4.5106,3.8886,3.6621,3.8740,4.4249,4.8615,5.7371,7.0723, & + & 9.0015,11.6448,13.7506,15.4646,18.1491,20.1153,20.8064,20.6351, & + & 20.1970,19.4124,18.3327,17.1774,16.0985,15.0922,14.1450,13.3853, & + & 12.7232,12.1910,11.8118,11.4913,11.2446,11.0530,10.8776,10.7231, & + & 10.5427,10.3595,10.2007,10.0232,9.8397,9.6478,9.4847,9.3084, & + & 9.1370,9.0072,8.8982,8.7752,8.6842,8.6444,8.5238,8.4381, & + & 8.3571,8.0820,7.9783,7.8828,7.6502,7.3912,7.3206,6.8710, & + & 6.2679,5.4474,5.1018,4.5330,3.8726,3.2157,2.5653,2.0803, & + & 1.5666,1.2016,0.8933,0.6912,0.5530,0.4576,0.3862,0.3513, & + & 0.3165,0.3062,0.3089,0.3050,0.3096,0.3182,0.3603,0.4441, & + & 0.5382,0.6443,0.7665,0.8889,1.0331,1.1580,1.2431,1.3572, & + & 1.4200,1.5474,1.6827,1.8789,2.1019,2.3567,2.6822,3.0446, & + & 3.3485,3.6536,3.8474,3.8846,3.7964,3.6060,3.4307,3.2926, & + & 3.2277,3.1902,3.1574,3.1351,3.1098,3.0497,2.9615,2.8613, & + & 2.7551,2.6354,2.5314,2.4467,2.3742,2.2912,2.2317,2.1786, & + & 2.1423,2.1006,2.0578,2.0366,2.0238,2.0136,2.0070,2.0073, & + & 2.0002,2.0016,2.0298,2.0523,2.0849,2.1255,2.1640,2.2111, & + & 2.2712,2.3504,2.4348,2.5132,2.5962,2.6930,2.7887,2.8990, & + & 3.0078,3.1120,3.2216,3.3298,3.4386,3.5428,3.6436,3.7372, & + & 3.8297,3.9098,3.9705,4.0342,4.0913,4.1272,4.1534,4.1653, & + & 4.1595,4.1501,4.1402,4.1043,4.0541,4.0084,3.9498,3.8894, & + & 3.8258,3.7527,3.6777,3.6000,3.5308,3.4630,3.3966,3.3236, & + & 3.2445,3.1764,3.1155,3.0549,2.9940,2.9420,2.8872,2.8359, & + & 2.7914,2.7350,2.6782,2.6289,2.5807,2.5357,2.5005,2.4614, & + & 2.4183,2.3795,2.3426,2.3064,2.2762,2.2497,2.2116,2.1690, & + & 2.1395,2.1196,2.1012,2.0878,2.0709,2.0496,2.0290,2.0033, & + & 1.9731,1.9480,1.9222,1.8896,1.8666,1.8510,1.8298,1.8072, & + & 1.7840,1.7545,1.7267,1.7083,1.6915,1.6604,1.6256,1.6014, & + & 1.5892,1.5753,1.5528,1.5290,1.5132,1.5019,1.4904,1.4786, & + & 1.4666,1.4532,1.4524,1.4591,1.4567,1.4480,1.4420,1.4468, & + & 1.4532,1.4580,1.4630,1.4756,1.4938,1.5103,1.5246,1.5397, & + & 1.5578,1.5790,1.6018,1.6332,1.6681,1.6966,1.7170,1.7428, & + & 1.7706,1.8016,1.8342,1.8635,1.9000,1.9372,1.9632,1.9949, & + & 2.0300,2.0610,2.0954,2.1271,2.1540,2.1802,2.2101,2.2401, & + & 2.2649,2.2892,2.3120,2.3425,2.3726,2.3980,2.4216,2.4454, & + & 2.4687,2.4894,2.5053,2.5212,2.5383,2.5540,2.5672,2.5776, & + & 2.5862,2.5959,2.6048,2.6113,2.6166,2.6194,2.6223,2.6288, & + & 2.6302,2.6283,2.6190,2.6077,2.5966,2.5883,2.5806,2.5684, & + & 2.5495,2.5294,2.5112,2.4985,2.4822,2.4597,2.4346,2.4161, & + & 2.4010,2.3815,2.3621,2.3400,2.3177,2.2910,2.2627,2.2414, & + & 2.2214,2.1960,2.1686,2.1391,2.1060,2.0813,2.0611,2.0398, & + & 2.0203,1.9944,1.9699,1.9404,1.9075,1.8816,1.8629,1.8422, & + & 1.8103,1.7803,1.7635,1.7498,1.7297,1.7129,1.6906,1.6556, & + & 1.6199,1.5938,1.5722,1.5461,1.5282,1.5155,1.4963,1.4767, & + & 1.4521,1.4152,1.3862,1.3640,1.3451,1.3318,1.3131,1.2957, & + & 1.2761,1.2546,1.2382,1.2175,1.2009,1.1794,1.1606,1.1505, & + & 1.1451,1.1400,1.1322,1.1169,1.0972,1.0866,1.0835,1.0785, & + & 1.0660,1.0478,1.0281,1.0120,1.0050,1.0025,1.0002,0.9963, & + & 0.9940,0.9900,0.9875,0.9893,0.9928,0.9965,0.9981,0.9966, & + & 0.9890,0.9825,0.9697,0.9605,0.9587,0.9656,0.9761,0.9861, & + & 0.9896,0.9949,1.0012,1.0048,1.0080,1.0076,1.0062,1.0033, & + & 1.0022,1.0051,1.0092,1.0120,1.0190,1.0244,1.0273,1.0337, & + & 1.0392,1.0444,1.0518,1.0559,1.0561,1.0538,1.0495,1.0498, & + & 1.0511,1.0541,1.0580,1.0578,1.0538,1.0462,1.0415,1.0361, & + & 1.0410,1.0527,1.0622,1.0726,1.0802,1.0844,1.0842,1.0875, & + & 1.0950,1.1046,1.1090,1.1135,1.1158,1.1201,1.1229,1.1230, & + & 1.1232,1.1222,1.1185,1.1130,1.1113,1.1110,1.1144,1.1228, & + & 1.1367,1.1437,1.1521,1.1574,1.1602,1.1660,1.1702,1.1733, & + & 1.1743,1.1724,1.1696,1.1644,1.1618,1.1570,1.1561,1.1559, & + & 1.1581,1.1572,1.1565,1.1587,1.1602,1.1628,1.1730,1.1845, & + & 1.1910,1.1965,1.2015,1.2039,1.2060,1.2060,1.2066,1.2080, & + & 1.2075,1.2094,1.2113,1.2096,1.2082,1.2048,1.2043,1.2046, & + & 1.2077,1.2118,1.2163,1.2214,1.2242,1.2247,1.2254,1.2264, & + & 1.2250,1.2257,1.2257,1.2271,1.2286,1.2319,1.2346,1.2396, & + & 1.2417,1.2431,1.2450,1.2454,1.2446,1.2451,1.2479,1.2472, & + & 1.2454,1.2449,1.2438,1.2454,1.2480,1.2510,1.2577,1.2619, & + & 1.2669,1.2720,1.2758,1.2794,1.2796,1.2807,1.2804,1.2787, & + & 1.2760,1.2770,1.2772,1.2795,1.2836,1.2884,1.2920,1.2937, & + & 1.2937,1.2944,1.2956,1.3002,1.3042,1.3100,1.3171,1.3195, & + & 1.3240,1.3244,1.3234,1.3210,1.3183,1.3185,1.3194,1.3221, & + & 1.3274,1.3305,1.3360,1.3413,1.3437,1.3482,1.3504,1.3546, & + & 1.3565,1.3579,1.3596,1.3583,1.3599,1.3594,1.3622,1.3650, & + & 1.3675,1.3720,1.3738,1.3757,1.3770,1.3769,1.3790,1.3786, & + & 1.3784,1.3797,1.3788,1.3804,1.3818,1.3812,1.3835,1.3864, & + & 1.3899,1.3918,1.3967,1.4010,1.4026,1.4033,1.4026,1.4015, & + & 1.4011,1.3997,1.3981,1.3967,1.3977,1.3965,1.3954,1.3940, & + & 1.3921,1.3869,1.3843,1.3794,1.3780,1.3746,1.3770,1.3770, & + & 1.3774,1.3770,1.3764,1.3750,1.3726,1.3671,1.3642,1.3614, & + & 1.3600,1.3566,1.3562,1.3539,1.3511,1.3458,1.3403,1.3373, & + & 1.3324,1.3306,1.3310,1.3318,1.3324,1.3330,1.3348,1.3337, & + & 1.3317,1.3291,1.3246,1.3204,1.3129,1.3058,1.3010,1.2944, & + & 1.2910,1.2890,1.2882,1.2878,1.2882,1.2870,1.2807,1.2758, & + & 1.2702,1.2658,1.2606,1.2590,1.2566,1.2576,1.2580,1.2588, & + & 1.2602,1.2632,1.2635,1.2663,1.2710,1.2718,1.2742,1.2764, & + & 1.2756,1.2748,1.2738,1.2703,1.2694,1.2664,1.2636,1.2634, & + & 1.2666,1.2717,1.2761,1.2817,1.2856,1.2885,1.2902,1.2926, & + & 1.2935,1.2954,1.2952,1.2927,1.2845,1.2758,1.2632,1.2485, & + & 1.2341,1.2197,1.2079,1.1923,1.1741,1.1549,1.1359,1.1126, & + & 1.0937,1.0734,1.0564,1.0379,1.0160,0.9959,0.9731,0.9510, & + & 0.9273,0.9048,0.8833,0.8596,0.8412,0.8204,0.8018,0.7848, & + & 0.7645,0.7457,0.7249,0.7042,0.6841,0.6634,0.6476,0.6313, & + & 0.6186,0.6025,0.5878,0.5722,0.5568,0.5458,0.5399,0.5386, & + & 0.5389,0.5436,0.5496,0.5566,0.5676,0.5784,0.5919,0.6081, & + & 0.6255,0.6421,0.6624,0.6828,0.7055,0.7269,0.7482,0.7732, & + & 0.8009,0.8292,0.8592,0.8904,0.9231,0.9551,0.9876,1.0225, & + & 1.0591,1.0935,1.1286,1.1604,1.1900,1.2195,1.2446,1.2712, & + & 1.2978,1.3244,1.3534,1.3823,1.4126,1.4407,1.4712,1.4988, & + & 1.5255,1.5498,1.5782,1.6015,1.6290,1.6543,1.6796,1.7042, & + & 1.7257,1.7468,1.7679,1.7910,1.8143,1.8386,1.8626,1.8852, & + & 1.9075,1.9280,1.9470,1.9672,1.9898,2.0096,2.0329,2.0565, & + & 2.0785,2.1015,2.1254,2.1466,2.1684,2.1888,2.2073,2.2250, & + & 2.2422,2.2604,2.2786,2.2964,2.3091,2.3194,2.3252,2.3319, & + & 2.3378,2.3441,2.3544,2.3664,2.3793,2.3927,2.4052,2.4161, & + & 2.4212,2.4228,2.4204,2.4190,2.4180,2.4215,2.4276,2.4340, & + & 2.4430,2.4448,2.4442,2.4377,2.4264,2.4169,2.4056,2.4007, & + & 2.3970,2.3975,2.3999,2.4057,2.4090,2.4114,2.4110,2.4086, & + & 2.4042,2.3982,2.3963,2.3920,2.3891,2.3832,2.3734,2.3630, & + & 2.3508,2.3427,2.3384,2.3328,2.3263 /) + + real :: iceblendmax(965) = (/95.8437,95.9332,96.0364,96.1043,96.2178,96.2740,96.3353,96.4490, & + & 96.4985,96.6171,96.6588,96.8333,96.8630,96.8590,96.8162,96.7973, & + & 96.7209,96.6867,96.6517,96.6321,96.4991,96.4836,96.4537,96.3891, & + & 96.3181,96.1885,96.0114,95.7054,95.6103,95.4099,95.2012,94.8731, & + & 94.7646,94.5365,94.4545,94.2225,93.7234,93.5566,93.2454,93.0747, & + & 92.7302,92.3108,91.8014,91.3663,90.7828,90.2582,89.9875,89.7545, & + & 89.6467,88.2747,86.0996,85.0604,84.4714,83.6482,81.5510,78.7387, & + & 75.2891,72.7923,72.2323,74.4373,75.1118,76.0249,75.6817,73.8089, & + & 70.7332,65.8109,59.7974,54.9893,53.7563,53.0764,53.1521,52.9167, & + & 53.2026,53.6814,52.9628,51.8341,48.9642,34.0275,16.5044,11.8058, & + & 9.1366,7.9238,8.4072,8.6508,10.2426,11.8189,12.6409,12.7774, & + & 16.2006,17.1880,19.6983,21.3444,22.3754,22.9522,24.9242,25.5559, & + & 27.9564,28.9992,31.2848,28.4612,19.3730,12.5179,8.1562,6.1054, & + & 4.5742,3.9392,3.7082,3.9245,4.4871,4.9330,5.8271,7.1903, & + & 9.1599,11.8586,14.0086,15.7584,18.4993,20.5066,21.2126,21.0379, & + & 20.5909,19.7901,18.6880,17.5088,16.4076,15.3806,14.4139,13.6385, & + & 12.9629,12.4197,12.0329,11.7059,11.4543,11.2589,11.0800,10.9226, & + & 10.7386,10.5519,10.3901,10.2091,10.0220,9.8264,9.6602,9.4806, & + & 9.3059,9.1737,9.0627,8.9376,8.8451,8.8048,8.6820,8.5949, & + & 8.5127,8.2324,8.1270,8.0300,7.7931,7.5292,7.4577,6.9994, & + & 6.3843,5.5473,5.1951,4.6152,3.9418,3.2718,2.6085,2.1143, & + & 1.5907,1.2189,0.9050,0.6995,0.5591,0.4626,0.3905,0.3554, & + & 0.3204,0.3100,0.3128,0.3083,0.3123,0.3190,0.3599,0.4412, & + & 0.5330,0.6344,0.7522,0.8703,1.0107,1.1323,1.2132,1.3225, & + & 1.3794,1.5000,1.6286,1.8172,2.0332,2.2798,2.5987,2.9549, & + & 3.2514,3.5574,3.7498,3.7887,3.6995,3.5080,3.3320,3.1925, & + & 3.1278,3.0915,3.0598,3.0404,3.0179,2.9613,2.8761,2.7792, & + & 2.6761,2.5582,2.4565,2.3736,2.3032,2.2223,2.1655,2.1143, & + & 2.0803,2.0402,1.9990,1.9797,1.9689,1.9607,1.9561,1.9584, & + & 1.9531,1.9563,1.9869,2.0115,2.0464,2.0894,2.1301,2.1797, & + & 2.2425,2.3244,2.4118,2.4929,2.5786,2.6785,2.7772,2.8906, & + & 3.0025,3.1099,3.2227,3.3338,3.4454,3.5525,3.6562,3.7525, & + & 3.8476,3.9299,3.9924,4.0579,4.1165,4.1537,4.1809,4.1937, & + & 4.1883,4.1790,4.1693,4.1332,4.0823,4.0361,3.9766,3.9155, & + & 3.8509,3.7766,3.7003,3.6214,3.5510,3.4821,3.4147,3.3404, & + & 3.2600,3.1907,3.1288,3.0671,3.0051,2.9524,2.8967,2.8446, & + & 2.7993,2.7420,2.6842,2.6341,2.5851,2.5393,2.5036,2.4640, & + & 2.4202,2.3806,2.3430,2.3063,2.2757,2.2488,2.2102,2.1669, & + & 2.1370,2.1168,2.0981,2.0847,2.0676,2.0459,2.0250,1.9989, & + & 1.9682,1.9427,1.9166,1.8834,1.8600,1.8444,1.8229,1.8000, & + & 1.7764,1.7464,1.7181,1.6994,1.6824,1.6507,1.6153,1.5907, & + & 1.5783,1.5643,1.5414,1.5171,1.5010,1.4895,1.4777,1.4657, & + & 1.4534,1.4396,1.4387,1.4456,1.4431,1.4341,1.4279,1.4326, & + & 1.4391,1.4439,1.4489,1.4617,1.4802,1.4968,1.5112,1.5263, & + & 1.5447,1.5662,1.5895,1.6217,1.6574,1.6866,1.7074,1.7338, & + & 1.7623,1.7939,1.8272,1.8571,1.8944,1.9325,1.9591,1.9916, & + & 2.0275,2.0593,2.0944,2.1269,2.1545,2.1815,2.2122,2.2429, & + & 2.2683,2.2932,2.3166,2.3479,2.3787,2.4048,2.4289,2.4533, & + & 2.4772,2.4984,2.5148,2.5312,2.5489,2.5650,2.5786,2.5893, & + & 2.5982,2.6082,2.6174,2.6241,2.6297,2.6327,2.6358,2.6425, & + & 2.6441,2.6423,2.6329,2.6215,2.6103,2.6019,2.5942,2.5818, & + & 2.5626,2.5422,2.5237,2.5109,2.4944,2.4715,2.4459,2.4272, & + & 2.4119,2.3921,2.3724,2.3500,2.3273,2.3003,2.2715,2.2498, & + & 2.2296,2.2038,2.1759,2.1459,2.1122,2.0871,2.0667,2.0450, & + & 2.0253,1.9989,1.9741,1.9441,1.9106,1.8843,1.8653,1.8444, & + & 1.8119,1.7814,1.7644,1.7505,1.7301,1.7131,1.6904,1.6548, & + & 1.6185,1.5919,1.5700,1.5434,1.5252,1.5124,1.4929,1.4730, & + & 1.4479,1.4103,1.3809,1.3582,1.3391,1.3255,1.3066,1.2888, & + & 1.2689,1.2471,1.2304,1.2093,1.1923,1.1705,1.1513,1.1410, & + & 1.1356,1.1304,1.1225,1.1067,1.0865,1.0756,1.0723,1.0670, & + & 1.0541,1.0354,1.0152,0.9986,0.9914,0.9886,0.9861,0.9819, & + & 0.9794,0.9751,0.9724,0.9740,0.9774,0.9810,0.9824,0.9807, & + & 0.9728,0.9659,0.9526,0.9430,0.9410,0.9478,0.9583,0.9683, & + & 0.9717,0.9770,0.9832,0.9868,0.9899,0.9893,0.9877,0.9847, & + & 0.9833,0.9862,0.9902,0.9930,1.0000,1.0055,1.0083,1.0147, & + & 1.0202,1.0255,1.0329,1.0369,1.0370,1.0346,1.0303,1.0305, & + & 1.0318,1.0348,1.0388,1.0385,1.0344,1.0266,1.0218,1.0163, & + & 1.0214,1.0333,1.0431,1.0538,1.0616,1.0659,1.0659,1.0692, & + & 1.0770,1.0868,1.0914,1.0960,1.0984,1.1028,1.1057,1.1059, & + & 1.1061,1.1051,1.1014,1.0957,1.0940,1.0938,1.0972,1.1058, & + & 1.1200,1.1271,1.1357,1.1411,1.1440,1.1499,1.1541,1.1573, & + & 1.1583,1.1563,1.1534,1.1481,1.1454,1.1405,1.1395,1.1393, & + & 1.1415,1.1406,1.1399,1.1421,1.1436,1.1463,1.1566,1.1684, & + & 1.1750,1.1806,1.1858,1.1882,1.1904,1.1904,1.1911,1.1925, & + & 1.1920,1.1939,1.1959,1.1942,1.1927,1.1893,1.1888,1.1890, & + & 1.1922,1.1964,1.2010,1.2062,1.2091,1.2096,1.2103,1.2113, & + & 1.2099,1.2106,1.2106,1.2121,1.2135,1.2170,1.2197,1.2248, & + & 1.2270,1.2284,1.2304,1.2308,1.2301,1.2305,1.2335,1.2327, & + & 1.2310,1.2304,1.2294,1.2311,1.2338,1.2369,1.2437,1.2481, & + & 1.2532,1.2585,1.2624,1.2661,1.2663,1.2675,1.2672,1.2655, & + & 1.2628,1.2637,1.2640,1.2664,1.2705,1.2755,1.2791,1.2808, & + & 1.2808,1.2816,1.2828,1.2875,1.2916,1.2975,1.3048,1.3072, & + & 1.3119,1.3123,1.3113,1.3089,1.3061,1.3064,1.3073,1.3100, & + & 1.3154,1.3186,1.3243,1.3296,1.3321,1.3367,1.3389,1.3433, & + & 1.3453,1.3467,1.3484,1.3471,1.3488,1.3483,1.3512,1.3541, & + & 1.3568,1.3614,1.3633,1.3652,1.3666,1.3666,1.3687,1.3684, & + & 1.3683,1.3697,1.3689,1.3706,1.3722,1.3716,1.3740,1.3771, & + & 1.3808,1.3829,1.3880,1.3925,1.3943,1.3952,1.3946,1.3936, & + & 1.3933,1.3920,1.3905,1.3892,1.3903,1.3893,1.3883,1.3870, & + & 1.3852,1.3801,1.3775,1.3727,1.3714,1.3681,1.3706,1.3708, & + & 1.3712,1.3710,1.3704,1.3691,1.3668,1.3613,1.3585,1.3557, & + & 1.3544,1.3510,1.3507,1.3486,1.3458,1.3405,1.3350,1.3320, & + & 1.3272,1.3254,1.3260,1.3269,1.3277,1.3284,1.3304,1.3293, & + & 1.3275,1.3249,1.3204,1.3162,1.3087,1.3015,1.2968,1.2901, & + & 1.2868,1.2847,1.2841,1.2838,1.2843,1.2833,1.2770,1.2722, & + & 1.2665,1.2621,1.2569,1.2555,1.2532,1.2543,1.2549,1.2558, & + & 1.2573,1.2606,1.2610,1.2640,1.2689,1.2699,1.2725,1.2748, & + & 1.2742,1.2735,1.2727,1.2693,1.2686,1.2656,1.2629,1.2630, & + & 1.2664,1.2717,1.2764,1.2823,1.2864,1.2896,1.2916,1.2943, & + & 1.2954,1.2976,1.2976,1.2954,1.2872,1.2785,1.2660,1.2513, & + & 1.2368,1.2223,1.2105,1.1948,1.1764,1.1571,1.1381,1.1147, & + & 1.0957,1.0752,1.0582,1.0397,1.0178,0.9976,0.9747,0.9525, & + & 0.9286,0.9060,0.8844,0.8606,0.8421,0.8212,0.8025,0.7855, & + & 0.7651,0.7461,0.7253,0.7045,0.6842,0.6633,0.6474,0.6310, & + & 0.6183,0.6021,0.5874,0.5717,0.5561,0.5450,0.5391,0.5378, & + & 0.5382,0.5429,0.5489,0.5559,0.5670,0.5779,0.5912,0.6069, & + & 0.6241,0.6406,0.6606,0.6805,0.7024,0.7233,0.7442,0.7686, & + & 0.7952,0.8230,0.8525,0.8829,0.9141,0.9452,0.9768,1.0101, & + & 1.0459,1.0795,1.1131,1.1439,1.1728,1.2008,1.2249,1.2500, & + & 1.2755,1.3003,1.3283,1.3563,1.3849,1.4121,1.4410,1.4676, & + & 1.4930,1.5167,1.5438,1.5665,1.5927,1.6168,1.6414,1.6647, & + & 1.6855,1.7053,1.7251,1.7475,1.7695,1.7925,1.8159,1.8372, & + & 1.8583,1.8780,1.8956,1.9148,1.9366,1.9560,1.9786,2.0014, & + & 2.0225,2.0451,2.0682,2.0884,2.1093,2.1288,2.1466,2.1638, & + & 2.1806,2.1982,2.2158,2.2330,2.2449,2.2543,2.2591,2.2648, & + & 2.2702,2.2760,2.2861,2.2978,2.3104,2.3234,2.3355,2.3459, & + & 2.3505,2.3514,2.3486,2.3467,2.3453,2.3484,2.3542,2.3602, & + & 2.3690,2.3705,2.3696,2.3627,2.3510,2.3411,2.3294,2.3244, & + & 2.3205,2.3210,2.3235,2.3293,2.3328,2.3352,2.3347,2.3323, & + & 2.3279,2.3217,2.3198,2.3154,2.3124,2.3065,2.2966,2.2860, & + & 2.2736,2.2655,2.2613,2.2558,2.2494 /) + + real :: iceblendmin(965) = (/48.1499,48.1887,48.2367,48.2675,48.3206,48.3456,48.3731,48.4713, & + & 48.4615,48.5353,48.5502,48.6014,48.6603,48.6985,48.5756,48.5840, & + & 48.5657,48.4986,48.4771,48.4437,48.4200,48.4330,48.3958,48.3551, & + & 48.3329,48.2773,48.1539,48.0177,47.9755,47.8779,47.7465,47.6125, & + & 47.5609,47.4476,47.4028,47.2475,47.0614,46.9796,46.7597,46.7211, & + & 46.5699,46.3429,46.0934,45.8817,45.6180,45.3196,45.2079,45.0507, & + & 44.9973,44.3512,43.2857,42.7343,42.4896,42.0633,41.0129,39.6354, & + & 37.9247,36.6996,36.4250,37.5052,37.8565,38.2785,38.0845,37.1838, & + & 35.6109,33.2415,30.2920,27.9822,27.3270,26.9711,27.0084,26.8881, & + & 27.0231,27.2760,26.9277,26.3733,24.9627,17.6434,9.0137,6.7575, & + & 5.4702,4.8310,5.1114,5.1589,5.9824,6.7299,7.1556,7.2195, & + & 8.8517,9.3546,10.5807,11.3879,11.8923,12.1471,13.1561,13.4203, & + & 14.6339,15.1461,16.2016,14.8805,10.3593,6.9974,4.8632,3.8544, & + & 3.1021,2.7883,2.6768,2.8299,3.0553,3.2739,3.7151,4.3838, & + & 5.3435,6.6555,7.7064,8.5537,9.8875,10.8656,11.2047,11.1128, & + & 10.8892,10.4928,9.9489,9.3658,8.8222,8.3190,7.8385,7.4536, & + & 7.1175,6.8476,6.6528,6.4871,6.3609,6.2572,6.1670,6.0828, & + & 5.9894,5.8917,5.8040,5.7072,5.6088,5.5058,5.4182,5.3206, & + & 5.2281,5.1545,5.0884,5.0112,4.9555,4.9081,4.8219,4.7774, & + & 4.7203,4.5727,4.5240,4.4479,4.2955,4.1473,4.1614,3.9035, & + & 3.5694,3.0844,2.9181,2.6337,2.2788,1.8971,1.5374,1.3109, & + & 1.0027,0.8467,0.6768,0.5723,0.5155,0.4705,0.4442,0.4559, & + & 0.4540,0.4879,0.5283,0.5684,0.6293,0.6997,0.7979,0.9394, & + & 1.0749,1.2673,1.4508,1.6459,1.8392,2.0021,2.1448,2.3064, & + & 2.4428,2.6271,2.8175,3.0556,3.3119,3.6068,3.9349,4.2803, & + & 4.6035,4.8285,4.9945,5.0117,4.9629,4.8355,4.7202,4.6274, & + & 4.5744,4.5282,4.4830,4.4239,4.3625,4.2634,4.1496,4.0251, & + & 3.9012,3.7795,3.6639,3.5684,3.4767,3.3802,3.2940,3.2261, & + & 3.1594,3.1044,3.0411,2.9962,2.9544,2.9155,2.8791,2.8488, & + & 2.8120,2.7886,2.7755,2.7632,2.7518,2.7520,2.7460,2.7448, & + & 2.7547,2.7751,2.7989,2.8195,2.8441,2.8777,2.9091,2.9506, & + & 2.9921,3.0299,3.0681,3.1111,3.1562,3.1946,3.2349,3.2704, & + & 3.3053,3.3374,3.3568,3.3842,3.4041,3.4138,3.4188,3.4161, & + & 3.4048,3.3914,3.3810,3.3564,3.3225,3.2954,3.2575,3.2218, & + & 3.1826,3.1403,3.0974,3.0531,3.0123,2.9717,2.9353,2.8928, & + & 2.8487,2.8105,2.7757,2.7405,2.7058,2.6745,2.6417,2.6134, & + & 2.5873,2.5543,2.5211,2.4928,2.4649,2.4398,2.4197,2.3951, & + & 2.3689,2.3469,2.3258,2.3047,2.2856,2.2701,2.2454,2.2200, & + & 2.2018,2.1888,2.1779,2.1678,2.1563,2.1436,2.1315,2.1164, & + & 2.0989,2.0821,2.0654,2.0486,2.0340,2.0221,2.0076,1.9939, & + & 1.9815,1.9652,1.9492,1.9390,1.9282,1.9102,1.8916,1.8772, & + & 1.8683,1.8597,1.8470,1.8341,1.8251,1.8181,1.8122,1.8070, & + & 1.7999,1.7935,1.7932,1.7961,1.7954,1.7913,1.7879,1.7916, & + & 1.7959,1.7989,1.8013,1.8079,1.8185,1.8285,1.8377,1.8493, & + & 1.8597,1.8692,1.8815,1.8959,1.9119,1.9263,1.9366,1.9473, & + & 1.9598,1.9752,1.9913,2.0068,2.0262,2.0429,2.0531,2.0681, & + & 2.0848,2.0991,2.1151,2.1304,2.1421,2.1521,2.1648,2.1779, & + & 2.1897,2.2003,2.2080,2.2214,2.2371,2.2492,2.2594,2.2686, & + & 2.2779,2.2880,2.2947,2.2986,2.3051,2.3082,2.3121,2.3184, & + & 2.3241,2.3263,2.3289,2.3223,2.3186,2.3217,2.3283,2.3297, & + & 2.3293,2.3226,2.3106,2.3030,2.2986,2.2925,2.2871,2.2765, & + & 2.2536,2.2389,2.2363,2.2369,2.2264,2.2056,2.1756,2.1568, & + & 2.1553,2.1512,2.1418,2.1314,2.1211,2.1026,2.0752,2.0558, & + & 2.0486,2.0432,2.0326,2.0141,1.9702,1.9381,1.9334,1.9455, & + & 1.9408,1.9253,1.9085,1.8601,1.8247,1.8168,1.8341,1.8143, & + & 1.7731,1.7424,1.7435,1.7561,1.7534,1.7335,1.7133,1.6930, & + & 1.6662,1.6447,1.6169,1.5854,1.5754,1.5761,1.5818,1.5733, & + & 1.5497,1.5010,1.4584,1.4474,1.4575,1.4636,1.4487,1.4328, & + & 1.4065,1.3749,1.3610,1.3545,1.3583,1.3213,1.2834,1.2798, & + & 1.2993,1.3387,1.3356,1.2841,1.2398,1.2353,1.2609,1.2826, & + & 1.2552,1.2042,1.1638,1.1614,1.1959,1.2400,1.2295,1.2000, & + & 1.1984,1.2157,1.2472,1.2501,1.2465,1.2713,1.2955,1.3322, & + & 1.3624,1.3252,1.2896,1.2575,1.2561,1.3246,1.4040,1.4323, & + & 1.4346,1.4325,1.4496,1.4963,1.5310,1.5324,1.5207,1.5057, & + & 1.5096,1.5299,1.5498,1.5857,1.5991,1.5960,1.6014,1.6041, & + & 1.6040,1.6040,1.6056,1.6087,1.6118,1.6128,1.5837,1.5419, & + & 1.5192,1.4970,1.4940,1.5187,1.5310,1.4888,1.4317,1.3742, & + & 1.3605,1.3975,1.4792,1.5246,1.5092,1.4510,1.3916,1.3740, & + & 1.3864,1.4349,1.4880,1.5060,1.4911,1.4675,1.4346,1.4061, & + & 1.4119,1.4403,1.4709,1.4599,1.4187,1.3981,1.4067,1.4367, & + & 1.4763,1.5104,1.5121,1.4940,1.4900,1.5003,1.5110,1.5273, & + & 1.5572,1.5736,1.5502,1.5047,1.4791,1.4752,1.4830,1.5055, & + & 1.5366,1.5335,1.4855,1.4539,1.4489,1.4575,1.4832,1.5256, & + & 1.5574,1.5675,1.5752,1.5706,1.5563,1.5403,1.5268,1.5226, & + & 1.5323,1.5521,1.5653,1.5596,1.5415,1.5215,1.5092,1.5100, & + & 1.5243,1.5476,1.5721,1.5794,1.5754,1.5702,1.5636,1.5541, & + & 1.5385,1.5287,1.5273,1.5303,1.5365,1.5457,1.5554,1.5645, & + & 1.5663,1.5717,1.5776,1.5723,1.5608,1.5536,1.5528,1.5563, & + & 1.5592,1.5578,1.5513,1.5450,1.5435,1.5462,1.5545,1.5646, & + & 1.5729,1.5744,1.5769,1.5795,1.5760,1.5685,1.5598,1.5523, & + & 1.5484,1.5510,1.5570,1.5661,1.5741,1.5783,1.5778,1.5760, & + & 1.5732,1.5705,1.5679,1.5674,1.5693,1.5730,1.5782,1.5806, & + & 1.5837,1.5837,1.5824,1.5800,1.5783,1.5781,1.5788,1.5799, & + & 1.5815,1.5818,1.5834,1.5848,1.5855,1.5881,1.5895,1.5915, & + & 1.5913,1.5907,1.5902,1.5876,1.5881,1.5876,1.5888,1.5895, & + & 1.5888,1.5901,1.5906,1.5916,1.5925,1.5921,1.5923,1.5906, & + & 1.5873,1.5862,1.5844,1.5845,1.5846,1.5839,1.5848,1.5853, & + & 1.5842,1.5831,1.5836,1.5834,1.5795,1.5780,1.5763,1.5731, & + & 1.5718,1.5696,1.5652,1.5622,1.5607,1.5584,1.5541,1.5513, & + & 1.5489,1.5439,1.5416,1.5364,1.5345,1.5313,1.5284,1.5259, & + & 1.5242,1.5201,1.5177,1.5147,1.5094,1.5047,1.5003,1.4975, & + & 1.4959,1.4924,1.4914,1.4887,1.4865,1.4808,1.4766,1.4730, & + & 1.4659,1.4624,1.4584,1.4570,1.4552,1.4548,1.4542,1.4521, & + & 1.4472,1.4437,1.4372,1.4330,1.4274,1.4232,1.4187,1.4141, & + & 1.4103,1.4076,1.4035,1.4012,1.3983,1.3960,1.3894,1.3839, & + & 1.3795,1.3726,1.3675,1.3615,1.3557,1.3538,1.3499,1.3481, & + & 1.3447,1.3424,1.3414,1.3411,1.3425,1.3403,1.3381,1.3370, & + & 1.3326,1.3269,1.3242,1.3180,1.3135,1.3100,1.3057,1.3026, & + & 1.3003,1.3000,1.2963,1.2935,1.2929,1.2896,1.2864,1.2825, & + & 1.2804,1.2764,1.2713,1.2640,1.2555,1.2488,1.2374,1.2246, & + & 1.2132,1.2015,1.1932,1.1802,1.1672,1.1537,1.1382,1.1197, & + & 1.1036,1.0899,1.0747,1.0585,1.0411,1.0244,1.0063,0.9879, & + & 0.9702,0.9534,0.9369,0.9193,0.9049,0.8890,0.8739,0.8596, & + & 0.8443,0.8320,0.8127,0.7974,0.7825,0.7671,0.7538,0.7400, & + & 0.7290,0.7158,0.7037,0.6915,0.6801,0.6714,0.6659,0.6621, & + & 0.6597,0.6601,0.6629,0.6658,0.6710,0.6763,0.6888,0.7053, & + & 0.7195,0.7324,0.7493,0.7679,0.7928,0.8128,0.8330,0.8574, & + & 0.8896,0.9162,0.9447,0.9758,1.0188,1.0519,1.0856,1.1292, & + & 1.1654,1.2007,1.2468,1.2816,1.3134,1.3527,1.3825,1.4220, & + & 1.4547,1.4971,1.5314,1.5657,1.6102,1.6434,1.6880,1.7213, & + & 1.7602,1.7882,1.8268,1.8543,1.8934,1.9316,1.9617,1.9999, & + & 2.0278,2.0647,2.1023,2.1313,2.1690,2.2065,2.2357,2.2728, & + & 2.3111,2.3397,2.3775,2.4115,2.4457,2.4703,2.5046,2.5388, & + & 2.5722,2.5985,2.6332,2.6671,2.7022,2.7365,2.7661,2.7949, & + & 2.8170,2.8460,2.8768,2.9072,2.9359,2.9641,2.9906,3.0174, & + & 3.0389,3.0567,3.0775,3.0990,3.1225,3.1513,3.1756,3.2002, & + & 3.2218,3.2405,3.2539,3.2668,3.2851,3.3009,3.3183,3.3360, & + & 3.3601,3.3740,3.3874,3.3968,3.4078,3.4151,3.4201,3.4311, & + & 3.4407,3.4537,3.4659,3.4824,3.4946,3.5070,3.5154,3.5241, & + & 3.5304,3.5396,3.5500,3.5608,3.5687,3.5757,3.5827,3.5846, & + & 3.5887,3.5957,3.6063,3.6104,3.6136 /) + + real :: glacalbmin(965) = (/72.8542,72.9169,72.9924,73.0412,73.1245,73.1644,73.2082,73.2917, & + & 73.3266,73.4138,73.4452,73.5745,73.5945,73.5915,73.5567,73.5425, & + & 73.4823,73.4565,73.4276,73.4128,73.3099,73.2983,73.2757,73.2244, & + & 73.1708,73.0729,72.9367,72.7057,72.6339,72.4826,72.3225,72.0748, & + & 71.9929,71.8206,71.7562,71.5810,71.2042,71.0782,70.8433,70.7119, & + & 70.4518,70.1351,69.7505,69.4219,68.9788,68.5827,68.3783,68.2024, & + & 68.1186,67.0826,65.4401,64.6529,64.2082,63.5866,62.0006,59.8770, & + & 57.2722,55.3844,54.9615,56.6265,57.1334,57.8229,57.5637,56.1472, & + & 53.8247,50.1078,45.5646,41.9340,41.0004,40.4871,40.5442,40.3640, & + & 40.5799,40.9390,40.3964,39.5441,37.3746,26.0959,12.8617,9.3138, & + & 7.2958,6.3800,6.7451,6.9265,8.1285,9.3163,9.9370,10.0377, & + & 12.6225,13.3656,15.2587,16.5017,17.2778,17.7109,19.1999,19.6744, & + & 21.4847,22.2720,23.9955,21.8609,14.9959,9.8172,6.5213,4.9702, & + & 3.8115,3.3320,3.1551,3.3185,3.7408,4.0751,4.7478,5.7747, & + & 7.2595,9.2924,10.9134,12.2323,14.2970,15.8103,16.3385,16.2042, & + & 15.8641,15.2582,14.4248,13.5320,12.6980,11.9201,11.1876,10.5997, & + & 10.0870,9.6745,9.3800,9.1306,8.9382,8.7881,8.6507,8.5293, & + & 8.3879,8.2432,8.1174,7.9783,7.8345,7.6832,7.5541,7.4147, & + & 7.2791,7.1757,7.0882,6.9888,6.9140,6.8800,6.7836,6.7129, & + & 6.6459,6.4281,6.3425,6.2631,6.0780,5.8727,5.8125,5.4591, & + & 4.9874,4.3480,4.0747,3.6282,3.1111,2.5979,2.0897,1.7067, & + & 1.3015,1.0110,0.7642,0.6004,0.4859,0.4031,0.3389,0.3063, & + & 0.2737,0.2647,0.2656,0.2695,0.2799,0.3094,0.3648,0.4764, & + & 0.5959,0.7533,0.9231,1.0931,1.2799,1.4415,1.5724,1.7394, & + & 1.8669,2.0694,2.2779,2.5575,2.8577,3.2019,3.6007,4.0313, & + & 4.4167,4.7115,4.9205,4.9400,4.8628,4.6840,4.5168,4.3932, & + & 4.3259,4.2764,4.2305,4.1767,4.1204,4.0214,3.9008,3.7651, & + & 3.6248,3.4843,3.3561,3.2507,3.1547,3.0483,2.9600,2.8859, & + & 2.8247,2.7650,2.7046,2.6630,2.6280,2.5960,2.5669,2.5453, & + & 2.5180,2.4996,2.5020,2.5010,2.5077,2.5230,2.5366,2.5569, & + & 2.5872,2.6356,2.6881,2.7370,2.7895,2.8528,2.9151,2.9909, & + & 3.0656,3.1356,3.2098,3.2863,3.3633,3.4356,3.5053,3.5694, & + & 3.6327,3.6887,3.7297,3.7743,3.8137,3.8357,3.8501,3.8536, & + & 3.8434,3.8315,3.8193,3.7871,3.7438,3.7040,3.6542,3.6031, & + & 3.5494,3.4897,3.4284,3.3651,3.3083,3.2526,3.1980,3.1383, & + & 3.0739,3.0191,2.9699,2.9208,2.8716,2.8281,2.7824,2.7406, & + & 2.7040,2.6583,2.6122,2.5718,2.5324,2.4954,2.4660,2.4336, & + & 2.3981,2.3670,2.3374,2.3072,2.2817,2.2589,2.2273,2.1921, & + & 2.1671,2.1507,2.1353,2.1227,2.1073,2.0898,2.0727,2.0518, & + & 2.0274,2.0057,1.9835,1.9573,1.9384,1.9241,1.9054,1.8869, & + & 1.8679,1.8440,1.8214,1.8061,1.7920,1.7668,1.7389,1.7191, & + & 1.7086,1.6967,1.6782,1.6599,1.6477,1.6390,1.6301,1.6210, & + & 1.6118,1.6025,1.6031,1.6083,1.6064,1.6009,1.5974,1.6022, & + & 1.6083,1.6131,1.6181,1.6290,1.6442,1.6592,1.6725,1.6864, & + & 1.7027,1.7190,1.7366,1.7597,1.7854,1.8074,1.8231,1.8418, & + & 1.8622,1.8860,1.9112,1.9338,1.9619,1.9894,2.0083,2.0316, & + & 2.0575,2.0802,2.1056,2.1289,2.1485,2.1664,2.1871,2.2092, & + & 2.2271,2.2447,2.2611,2.2835,2.3055,2.3240,2.3410,2.3582, & + & 2.3751,2.3899,2.4009,2.4109,2.4218,2.4327,2.4418,2.4486, & + & 2.4542,2.4605,2.4662,2.4698,2.4725,2.4734,2.4742,2.4778, & + & 2.4776,2.4747,2.4661,2.4560,2.4462,2.4386,2.4315,2.4210, & + & 2.4053,2.3886,2.3734,2.3625,2.3488,2.3303,2.3098,2.2941, & + & 2.2811,2.2648,2.2484,2.2300,2.2114,2.1895,2.1663,2.1485, & + & 2.1317,2.1108,2.0883,2.0642,2.0373,2.0168,1.9999,1.9821, & + & 1.9657,1.9444,1.9241,1.9000,1.8733,1.8519,1.8361,1.8188, & + & 1.7928,1.7683,1.7540,1.7421,1.7252,1.7111,1.6928,1.6647, & + & 1.6360,1.6147,1.5969,1.5757,1.5607,1.5497,1.5338,1.5178, & + & 1.4979,1.4685,1.4453,1.4272,1.4118,1.4006,1.3853,1.3709, & + & 1.3549,1.3379,1.3248,1.3084,1.2951,1.2781,1.2632,1.2549, & + & 1.2503,1.2459,1.2394,1.2290,1.2152,1.2084,1.2074,1.2049, & + & 1.1966,1.1839,1.1701,1.1591,1.1551,1.1553,1.1556,1.1546, & + & 1.1549,1.1539,1.1540,1.1575,1.1622,1.1671,1.1704,1.1715, & + & 1.1680,1.1652,1.1577,1.1529,1.1538,1.1614,1.1718,1.1818, & + & 1.1868,1.1925,1.1989,1.2033,1.2074,1.2086,1.2092,1.2086, & + & 1.2093,1.2131,1.2179,1.2213,1.2277,1.2331,1.2364,1.2426, & + & 1.2479,1.2531,1.2600,1.2642,1.2655,1.2642,1.2614,1.2621, & + & 1.2635,1.2663,1.2698,1.2701,1.2675,1.2621,1.2589,1.2540, & + & 1.2571,1.2654,1.2720,1.2794,1.2845,1.2871,1.2863,1.2881, & + & 1.2933,1.3001,1.3031,1.3061,1.3075,1.3103,1.3120,1.3116, & + & 1.3113,1.3100,1.3067,1.3025,1.3012,1.3010,1.3036,1.3101, & + & 1.3208,1.3262,1.3326,1.3367,1.3389,1.3436,1.3470,1.3497, & + & 1.3507,1.3495,1.3475,1.3437,1.3419,1.3385,1.3380,1.3381, & + & 1.3400,1.3395,1.3392,1.3412,1.3425,1.3448,1.3529,1.3620, & + & 1.3673,1.3713,1.3749,1.3765,1.3779,1.3776,1.3779,1.3788, & + & 1.3781,1.3793,1.3806,1.3793,1.3782,1.3756,1.3752,1.3754, & + & 1.3778,1.3809,1.3845,1.3883,1.3906,1.3909,1.3915,1.3922, & + & 1.3911,1.3917,1.3917,1.3928,1.3939,1.3965,1.3985,1.4021, & + & 1.4035,1.4044,1.4056,1.4057,1.4049,1.4050,1.4070,1.4062, & + & 1.4046,1.4037,1.4025,1.4032,1.4047,1.4066,1.4113,1.4141, & + & 1.4175,1.4205,1.4232,1.4257,1.4256,1.4263,1.4259,1.4243, & + & 1.4220,1.4225,1.4224,1.4240,1.4271,1.4308,1.4336,1.4349, & + & 1.4349,1.4355,1.4364,1.4399,1.4431,1.4472,1.4525,1.4541, & + & 1.4571,1.4572,1.4562,1.4541,1.4518,1.4517,1.4525,1.4545, & + & 1.4586,1.4610,1.4652,1.4693,1.4712,1.4747,1.4761,1.4792, & + & 1.4804,1.4812,1.4823,1.4808,1.4819,1.4812,1.4832,1.4849, & + & 1.4859,1.4889,1.4898,1.4908,1.4909,1.4903,1.4915,1.4905, & + & 1.4890,1.4893,1.4880,1.4885,1.4882,1.4871,1.4881,1.4892, & + & 1.4896,1.4900,1.4925,1.4948,1.4936,1.4931,1.4914,1.4883, & + & 1.4868,1.4845,1.4810,1.4788,1.4784,1.4764,1.4732,1.4710, & + & 1.4684,1.4621,1.4590,1.4528,1.4506,1.4469,1.4469,1.4460, & + & 1.4453,1.4433,1.4419,1.4399,1.4361,1.4310,1.4269,1.4238, & + & 1.4219,1.4174,1.4162,1.4126,1.4095,1.4036,1.3985,1.3952, & + & 1.3896,1.3873,1.3857,1.3854,1.3841,1.3836,1.3832,1.3814, & + & 1.3780,1.3752,1.3703,1.3663,1.3592,1.3531,1.3480,1.3422, & + & 1.3380,1.3355,1.3330,1.3318,1.3303,1.3285,1.3218,1.3162, & + & 1.3109,1.3057,1.3008,1.2978,1.2940,1.2939,1.2924,1.2921, & + & 1.2913,1.2918,1.2911,1.2915,1.2941,1.2930,1.2929,1.2937, & + & 1.2913,1.2886,1.2867,1.2817,1.2787,1.2752,1.2708,1.2683, & + & 1.2685,1.2713,1.2724,1.2744,1.2763,1.2760,1.2745,1.2736, & + & 1.2730,1.2717,1.2688,1.2637,1.2541,1.2458,1.2329,1.2184, & + & 1.2043,1.1904,1.1800,1.1652,1.1484,1.1308,1.1121,1.0900, & + & 1.0713,1.0536,1.0363,1.0180,0.9970,0.9773,0.9556,0.9345, & + & 0.9123,0.8913,0.8711,0.8491,0.8313,0.8116,0.7936,0.7768, & + & 0.7575,0.7412,0.7201,0.7014,0.6831,0.6645,0.6495,0.6342, & + & 0.6216,0.6065,0.5925,0.5777,0.5639,0.5546,0.5491,0.5471, & + & 0.5465,0.5510,0.5570,0.5638,0.5736,0.5833,0.5997,0.6212, & + & 0.6405,0.6593,0.6827,0.7081,0.7400,0.7661,0.7922,0.8238, & + & 0.8637,0.8979,0.9334,0.9721,1.0228,1.0644,1.1064,1.1588, & + & 1.2039,1.2474,1.2999,1.3414,1.3797,1.4259,1.4608,1.5047, & + & 1.5426,1.5892,1.6290,1.6687,1.7173,1.7554,1.8037,1.8415, & + & 1.8831,1.9147,1.9558,1.9866,2.0275,2.0669,2.0998,2.1387, & + & 2.1680,2.2036,2.2391,2.2698,2.3070,2.3449,2.3763,2.4129, & + & 2.4494,2.4780,2.5119,2.5431,2.5742,2.5987,2.6303,2.6630, & + & 2.6944,2.7218,2.7549,2.7863,2.8182,2.8491,2.8743,2.8990, & + & 2.9195,2.9446,2.9697,2.9943,3.0152,3.0355,3.0523,3.0699, & + & 3.0822,3.0925,3.1060,3.1210,3.1371,3.1557,3.1719,3.1879, & + & 3.1994,3.2082,3.2105,3.2135,3.2183,3.2257,3.2353,3.2450, & + & 3.2570,3.2618,3.2648,3.2623,3.2564,3.2511,3.2435,3.2407, & + & 3.2385,3.2391,3.2410,3.2454,3.2480,3.2499,3.2495,3.2476, & + & 3.2443,3.2397,3.2382,3.2349,3.2324,3.2269,3.2185,3.2097, & + & 3.1995,3.1923,3.1862,3.1798,3.1721 /) + + real :: seaicemax(965) = (/84.3952,84.4913,84.5538,84.6150,84.7150,84.7809,84.8242,84.9336, & + & 84.9797,85.0743,85.1379,85.2607,85.3174,85.3047,85.2414,85.2520, & + & 85.1589,85.1186,85.1000,85.0692,84.9663,84.9477,84.9342,84.8681, & + & 84.8002,84.6725,84.5134,84.2831,84.1709,83.9925,83.7970,83.4668, & + & 83.4117,83.2416,83.1556,82.9362,82.4124,82.3690,82.0309,81.9060, & + & 81.5489,81.1646,80.6918,80.4107,79.9039,79.3585,79.1911,78.9953, & + & 78.8623,77.6571,75.6470,74.8071,74.2222,73.5040,71.6163,68.9615, & + & 66.0054,63.7376,63.2382,65.1569,65.3929,66.8309,66.4327,64.7008, & + & 61.7899,57.2628,49.9999,48.4204,46.4343,45.6743,45.6011,46.0404, & + & 45.2214,46.4344,45.8455,44.7145,41.7898,27.6900,11.7636,7.7049, & + & 5.4501,4.7137,5.0821,5.5035,6.5600,7.5630,8.4745,9.2113, & + & 11.3066,11.9891,14.0900,16.2985,16.6177,17.4824,19.3772,20.9155, & + & 22.2751,23.6426,25.2521,22.8283,14.2622,8.5025,4.9861,3.4900, & + & 2.5465,2.0972,2.0363,2.1435,2.3985,2.8197,3.4214,4.4489, & + & 6.0674,7.6522,9.6965,11.2972,12.9382,15.0650,16.2868,16.0534, & + & 15.4587,14.3950,12.9656,11.4361,10.0465,8.8068,7.6763,6.7822, & + & 6.0807,5.5486,5.1834,4.9028,4.7282,4.6003,4.4972,4.3989, & + & 4.2781,4.1545,4.0406,3.9248,3.7993,3.6800,3.5614,3.4494, & + & 3.3597,3.2892,3.2429,3.2019,3.1849,3.1889,3.1902,3.2122, & + & 3.2165,3.1584,3.1327,3.0671,2.9448,2.7770,2.6747,2.4476, & + & 2.1805,1.8246,1.5460,1.2547,1.0070,0.7862,0.6300,0.5383, & + & 0.4401,0.4132,0.3802,0.3500,0.3418,0.3273,0.3038,0.3064, & + & 0.2848,0.3007,0.3089,0.3189,0.3666,0.3743,0.4368,0.5180, & + & 0.6189,0.7404,0.8780,1.0196,1.1676,1.2870,1.3969,1.5146, & + & 1.5893,1.7225,1.8431,2.0325,2.2659,2.5083,2.8168,3.1987, & + & 3.5322,3.8448,4.0764,4.1703,4.0999,3.9030,3.6950,3.5466, & + & 3.4601,3.4131,3.3900,3.3717,3.3460,3.2943,3.1980,3.0943, & + & 2.9799,2.8586,2.7526,2.6580,2.5718,2.4798,2.4163,2.3461, & + & 2.2880,2.2320,2.1863,2.1506,2.1044,2.0682,2.0362,2.0173, & + & 1.9869,1.9509,1.9297,1.9117,1.8906,1.8746,1.8446,1.8214, & + & 1.8116,1.8045,1.7902,1.7800,1.7742,1.7691,1.7519,1.7477, & + & 1.7433,1.7410,1.7410,1.7295,1.7289,1.7342,1.7362,1.7299, & + & 1.7243,1.7177,1.7054,1.6991,1.6989,1.6898,1.6788,1.6678, & + & 1.6464,1.6323,1.6266,1.6075,1.5809,1.5737,1.5630,1.5393, & + & 1.5200,1.5078,1.4975,1.4787,1.4592,1.4506,1.4437,1.4287, & + & 1.4105,1.4017,1.3918,1.3829,1.3770,1.3683,1.3534,1.3465, & + & 1.3451,1.3351,1.3204,1.3096,1.3071,1.3034,1.2972,1.2883, & + & 1.2812,1.2740,1.2658,1.2606,1.2593,1.2584,1.2477,1.2380, & + & 1.2373,1.2339,1.2307,1.2288,1.2251,1.2248,1.2227,1.2153, & + & 1.2111,1.2090,1.1990,1.1892,1.1881,1.1880,1.1799,1.1746, & + & 1.1777,1.1774,1.1682,1.1636,1.1671,1.1656,1.1588,1.1546, & + & 1.1520,1.1504,1.1484,1.1467,1.1450,1.1451,1.1436,1.1430, & + & 1.1463,1.1449,1.1485,1.1577,1.1593,1.1551,1.1532,1.1562, & + & 1.1590,1.1572,1.1530,1.1571,1.1704,1.1822,1.1853,1.1828, & + & 1.1806,1.1800,1.1818,1.1883,1.1947,1.1941,1.1918,1.1908, & + & 1.1920,1.1921,1.1904,1.1923,1.1982,1.2006,1.1965,1.1915, & + & 1.1930,1.1949,1.1928,1.1918,1.1934,1.1950,1.1952,1.1939, & + & 1.1913,1.1887,1.1869,1.1888,1.1937,1.1983,1.2025,1.2028, & + & 1.2006,1.2010,1.2007,1.1976,1.1963,1.1980,1.2002,1.1985, & + & 1.1890,1.1822,1.1847,1.1860,1.1842,1.1807,1.1803,1.1815, & + & 1.1837,1.1817,1.1752,1.1687,1.1624,1.1586,1.1591,1.1582, & + & 1.1489,1.1386,1.1342,1.1358,1.1342,1.1276,1.1165,1.1096, & + & 1.1077,1.1052,1.1005,1.0969,1.0956,1.0940,1.0902,1.0860, & + & 1.0823,1.0773,1.0722,1.0684,1.0605,1.0538,1.0541,1.0598, & + & 1.0605,1.0547,1.0455,1.0279,1.0162,1.0179,1.0254,1.0199, & + & 1.0056,0.9968,0.9991,1.0069,1.0112,1.0079,1.0022,0.9921, & + & 0.9805,0.9741,0.9690,0.9640,0.9625,0.9627,0.9630,0.9602, & + & 0.9524,0.9376,0.9258,0.9229,0.9263,0.9287,0.9243,0.9189, & + & 0.9101,0.9013,0.8987,0.8986,0.8989,0.8860,0.8738,0.8757, & + & 0.8866,0.9023,0.9022,0.8840,0.8668,0.8662,0.8780,0.8888, & + & 0.8816,0.8643,0.8476,0.8434,0.8542,0.8686,0.8683,0.8604, & + & 0.8595,0.8629,0.8717,0.8742,0.8771,0.8874,0.8957,0.9046, & + & 0.9101,0.8970,0.8832,0.8731,0.8776,0.9041,0.9312,0.9395, & + & 0.9383,0.9339,0.9375,0.9516,0.9619,0.9613,0.9545,0.9478, & + & 0.9494,0.9573,0.9679,0.9815,0.9895,0.9913,0.9936,0.9940, & + & 0.9948,0.9966,0.9987,1.0009,1.0012,1.0001,0.9918,0.9807, & + & 0.9757,0.9718,0.9710,0.9763,0.9758,0.9602,0.9427,0.9272, & + & 0.9283,0.9464,0.9749,0.9915,0.9904,0.9745,0.9584,0.9542, & + & 0.9588,0.9721,0.9861,0.9905,0.9866,0.9824,0.9762,0.9710, & + & 0.9751,0.9839,0.9923,0.9872,0.9742,0.9685,0.9720,0.9847, & + & 1.0003,1.0116,1.0124,1.0066,1.0046,1.0071,1.0103,1.0151, & + & 1.0225,1.0254,1.0159,1.0001,0.9899,0.9865,0.9889,0.9959, & + & 1.0044,1.0026,0.9877,0.9772,0.9758,0.9801,0.9918,1.0080, & + & 1.0186,1.0221,1.0244,1.0232,1.0189,1.0146,1.0117,1.0117, & + & 1.0168,1.0242,1.0299,1.0295,1.0223,1.0117,1.0036,1.0001, & + & 1.0010,1.0064,1.0134,1.0167,1.0175,1.0175,1.0166,1.0142, & + & 1.0101,1.0073,1.0063,1.0061,1.0074,1.0088,1.0094,1.0085, & + & 1.0050,1.0010,0.9981,0.9940,0.9903,0.9898,0.9912,0.9927, & + & 0.9923,0.9889,0.9833,0.9773,0.9740,0.9721,0.9731,0.9748, & + & 0.9765,0.9764,0.9781,0.9797,0.9792,0.9764,0.9725,0.9675, & + & 0.9626,0.9595,0.9586,0.9596,0.9614,0.9629,0.9624,0.9605, & + & 0.9570,0.9523,0.9485,0.9461,0.9470,0.9502,0.9551,0.9595, & + & 0.9631,0.9636,0.9619,0.9580,0.9537,0.9503,0.9481,0.9483, & + & 0.9489,0.9501,0.9517,0.9529,0.9533,0.9532,0.9528,0.9519, & + & 0.9504,0.9492,0.9484,0.9471,0.9466,0.9462,0.9461,0.9456, & + & 0.9448,0.9440,0.9435,0.9437,0.9429,0.9428,0.9417,0.9399, & + & 0.9381,0.9357,0.9342,0.9332,0.9327,0.9331,0.9342,0.9362, & + & 0.9381,0.9403,0.9426,0.9432,0.9431,0.9429,0.9417,0.9400, & + & 0.9398,0.9383,0.9366,0.9354,0.9345,0.9338,0.9321,0.9294, & + & 0.9260,0.9211,0.9172,0.9137,0.9123,0.9115,0.9106,0.9095, & + & 0.9086,0.9070,0.9065,0.9063,0.9054,0.9041,0.9024,0.8999, & + & 0.8986,0.8968,0.8952,0.8942,0.8925,0.8902,0.8885,0.8870, & + & 0.8859,0.8864,0.8870,0.8892,0.8920,0.8951,0.8962,0.8954, & + & 0.8915,0.8858,0.8795,0.8747,0.8703,0.8683,0.8667,0.8657, & + & 0.8645,0.8637,0.8634,0.8646,0.8654,0.8658,0.8630,0.8594, & + & 0.8540,0.8480,0.8438,0.8404,0.8398,0.8415,0.8430,0.8454, & + & 0.8479,0.8492,0.8500,0.8507,0.8508,0.8483,0.8439,0.8396, & + & 0.8346,0.8300,0.8271,0.8248,0.8229,0.8219,0.8207,0.8193, & + & 0.8184,0.8171,0.8147,0.8106,0.8048,0.7973,0.7886,0.7803, & + & 0.7733,0.7664,0.7584,0.7493,0.7389,0.7287,0.7174,0.7078, & + & 0.7004,0.6935,0.6870,0.6771,0.6663,0.6534,0.6406,0.6289, & + & 0.6203,0.6145,0.6098,0.6031,0.5948,0.5851,0.5746,0.5643, & + & 0.5547,0.5469,0.5401,0.5337,0.5283,0.5234,0.5190,0.5141, & + & 0.5092,0.5042,0.4962,0.4884,0.4802,0.4727,0.4668,0.4623, & + & 0.4598,0.4564,0.4525,0.4480,0.4442,0.4425,0.4438,0.4476, & + & 0.4533,0.4610,0.4697,0.4792,0.4904,0.5038,0.5212,0.5425, & + & 0.5647,0.5879,0.6121,0.6352,0.6580,0.6784,0.6988,0.7213, & + & 0.7473,0.7737,0.8024,0.8326,0.8661,0.8979,0.9307,0.9670, & + & 1.0014,1.0358,1.0714,1.1017,1.1287,1.1558,1.1795,1.2056, & + & 1.2310,1.2613,1.2917,1.3236,1.3593,1.3917,1.4246,1.4519, & + & 1.4776,1.4984,1.5219,1.5446,1.5715,1.6004,1.6266,1.6535, & + & 1.6757,1.6985,1.7207,1.7406,1.7646,1.7897,1.8140,1.8405, & + & 1.8672,1.8899,1.9149,1.9371,1.9585,1.9776,1.9992,2.0217, & + & 2.0457,2.0685,2.0941,2.1195,2.1425,2.1629,2.1798,2.1957, & + & 2.2104,2.2291,2.2497,2.2703,2.2876,2.3015,2.3118,2.3195, & + & 2.3248,2.3307,2.3394,2.3514,2.3662,2.3836,2.3990,2.4120, & + & 2.4197,2.4216,2.4181,2.4128,2.4097,2.4091,2.4132,2.4217, & + & 2.4327,2.4391,2.4420,2.4393,2.4344,2.4279,2.4236,2.4244, & + & 2.4278,2.4338,2.4391,2.4432,2.4434,2.4409,2.4345,2.4280, & + & 2.4211,2.4188,2.4198,2.4218,2.4269,2.4284,2.4256,2.4159, & + & 2.4029,2.3913,2.3839,2.3766,2.3712 /) + + real :: seaicemin(965) = (/63.7232,63.8155,63.8870,63.9539,64.0566,64.1136,64.1879,64.3061, & + & 64.3513,64.4550,64.4961,64.6427,64.7033,64.7169,64.6058,64.5981, & + & 64.5453,64.4776,64.4476,64.3931,64.3236,64.2880,64.2511,64.1995, & + & 64.1227,64.0151,63.8082,63.4353,63.4578,63.2500,63.0222,62.7842, & + & 62.6513,62.3697,62.3330,62.0783,61.7111,61.4903,61.1514,61.0185, & + & 60.7199,60.3163,59.8497,59.3833,58.8037,58.3719,58.0844,57.7799, & + & 57.7347,56.4529,54.4746,53.4116,52.8343,52.0940,50.2247,47.6096, & + & 44.3354,42.2188,41.9084,43.6634,44.6948,45.2152,44.7806,43.1203, & + & 40.4363,36.2569,32.0581,28.3198,26.5904,25.9552,25.9938,26.2599, & + & 26.2138,26.4962,25.9052,24.9788,22.6739,12.8247,4.5918,2.9693, & + & 2.2126,1.9515,2.0933,2.1886,2.5550,2.8920,3.2142,3.5190, & + & 4.2278,4.7224,5.5441,6.3847,6.7416,7.2386,7.9924,8.7012, & + & 9.5166,10.3728,11.2507,9.9134,5.5240,3.1801,1.9787,1.5174, & + & 1.2430,1.1157,1.1005,1.1583,1.1970,1.3134,1.4837,1.7808, & + & 2.2831,2.8606,3.5824,4.2370,4.9506,5.8203,6.3143,6.2492, & + & 6.0380,5.6488,5.1334,4.5857,4.0927,3.6582,3.2805,2.9925, & + & 2.7621,2.5789,2.4570,2.3616,2.3057,2.2514,2.2056,2.1788, & + & 2.1326,2.0917,2.0420,2.0007,1.9601,1.9172,1.8783,1.8391, & + & 1.7909,1.7602,1.7449,1.7196,1.6894,1.6768,1.6675,1.6590, & + & 1.6508,1.6266,1.6125,1.5657,1.5037,1.4287,1.4231,1.3273, & + & 1.2335,1.0782,0.9869,0.9028,0.7958,0.6889,0.6103,0.5741, & + & 0.5001,0.5008,0.4828,0.4488,0.4386,0.4334,0.4121,0.4230, & + & 0.4212,0.4468,0.4690,0.5045,0.5632,0.6177,0.7068,0.8399, & + & 0.9841,1.1874,1.3805,1.5971,1.8185,1.9920,2.1622,2.3333, & + & 2.4789,2.6757,2.8816,3.1596,3.4815,3.8530,4.2589,4.7316, & + & 5.1532,5.4979,5.7163,5.7553,5.6729,5.4702,5.2866,5.1573, & + & 5.0746,5.0192,4.9799,4.9245,4.8633,4.7516,4.6264,4.4680, & + & 4.3103,4.1565,4.0070,3.8803,3.7587,3.6398,3.5423,3.4494, & + & 3.3645,3.2944,3.2218,3.1556,3.0903,3.0362,2.9913,2.9452, & + & 2.8800,2.8324,2.7996,2.7676,2.7294,2.6935,2.6455,2.6056, & + & 2.5821,2.5509,2.5180,2.4942,2.4741,2.4497,2.4154,2.4060, & + & 2.3861,2.3648,2.3461,2.3276,2.3192,2.3056,2.2913,2.2694, & + & 2.2541,2.2482,2.2252,2.2128,2.2043,2.1874,2.1756,2.1636, & + & 2.1464,2.1237,2.1239,2.1145,2.0892,2.0812,2.0709,2.0539, & + & 2.0399,2.0322,2.0227,2.0077,1.9960,1.9895,1.9860,1.9731, & + & 1.9544,1.9485,1.9435,1.9292,1.9186,1.9109,1.9042,1.8996, & + & 1.8959,1.8878,1.8730,1.8655,1.8619,1.8563,1.8537,1.8456, & + & 1.8353,1.8303,1.8194,1.8062,1.8070,1.8132,1.8019,1.7884, & + & 1.7870,1.7850,1.7790,1.7750,1.7722,1.7668,1.7646,1.7610, & + & 1.7544,1.7534,1.7485,1.7372,1.7297,1.7285,1.7269,1.7225, & + & 1.7213,1.7192,1.7140,1.7126,1.7134,1.7085,1.7014,1.6990, & + & 1.7000,1.6983,1.6937,1.6914,1.6891,1.6896,1.6921,1.6941, & + & 1.6951,1.6907,1.6918,1.7028,1.7100,1.7077,1.7049,1.7076, & + & 1.7095,1.7085,1.7091,1.7140,1.7199,1.7250,1.7300,1.7333, & + & 1.7338,1.7336,1.7351,1.7389,1.7447,1.7471,1.7468,1.7431, & + & 1.7398,1.7380,1.7360,1.7367,1.7392,1.7376,1.7316,1.7263, & + & 1.7257,1.7252,1.7207,1.7181,1.7199,1.7218,1.7178,1.7114, & + & 1.7078,1.7051,1.7014,1.7003,1.7018,1.7020,1.7007,1.6983, & + & 1.6959,1.6943,1.6916,1.6890,1.6893,1.6862,1.6815,1.6781, & + & 1.6726,1.6656,1.6636,1.6578,1.6550,1.6560,1.6571,1.6532, & + & 1.6515,1.6473,1.6399,1.6334,1.6275,1.6223,1.6231,1.6230, & + & 1.6103,1.5989,1.5967,1.6010,1.5994,1.5895,1.5710,1.5603, & + & 1.5617,1.5642,1.5639,1.5645,1.5655,1.5597,1.5477,1.5402, & + & 1.5404,1.5419,1.5375,1.5312,1.5150,1.5049,1.5107,1.5245, & + & 1.5229,1.5142,1.5052,1.4768,1.4598,1.4622,1.4786,1.4691, & + & 1.4473,1.4337,1.4385,1.4521,1.4600,1.4541,1.4455,1.4343, & + & 1.4196,1.4112,1.4009,1.3895,1.3875,1.3893,1.3948,1.3930, & + & 1.3844,1.3628,1.3410,1.3357,1.3443,1.3516,1.3474,1.3397, & + & 1.3217,1.3010,1.2949,1.2994,1.3090,1.2892,1.2670,1.2677, & + & 1.2852,1.3174,1.3207,1.2899,1.2624,1.2610,1.2804,1.2990, & + & 1.2837,1.2516,1.2244,1.2220,1.2461,1.2781,1.2761,1.2604, & + & 1.2609,1.2742,1.2982,1.3041,1.3061,1.3248,1.3407,1.3650, & + & 1.3872,1.3638,1.3430,1.3235,1.3262,1.3772,1.4351,1.4566, & + & 1.4594,1.4564,1.4654,1.4959,1.5177,1.5180,1.5103,1.5023, & + & 1.5073,1.5234,1.5386,1.5638,1.5723,1.5689,1.5709,1.5705, & + & 1.5709,1.5727,1.5771,1.5821,1.5845,1.5847,1.5654,1.5373, & + & 1.5231,1.5110,1.5104,1.5276,1.5346,1.5039,1.4638,1.4257, & + & 1.4197,1.4515,1.5116,1.5455,1.5372,1.4970,1.4569,1.4447, & + & 1.4516,1.4817,1.5147,1.5241,1.5124,1.4961,1.4764,1.4606, & + & 1.4681,1.4896,1.5120,1.5048,1.4759,1.4617,1.4671,1.4871, & + & 1.5125,1.5349,1.5344,1.5216,1.5194,1.5261,1.5323,1.5405, & + & 1.5578,1.5668,1.5493,1.5179,1.4993,1.4957,1.4992,1.5131, & + & 1.5326,1.5300,1.4985,1.4779,1.4770,1.4856,1.5046,1.5320, & + & 1.5516,1.5561,1.5586,1.5541,1.5434,1.5326,1.5242,1.5227, & + & 1.5312,1.5459,1.5558,1.5528,1.5400,1.5254,1.5157,1.5151, & + & 1.5228,1.5362,1.5495,1.5511,1.5456,1.5409,1.5361,1.5306, & + & 1.5223,1.5173,1.5169,1.5177,1.5199,1.5227,1.5257,1.5282, & + & 1.5266,1.5273,1.5284,1.5232,1.5153,1.5104,1.5087,1.5098, & + & 1.5103,1.5064,1.4987,1.4910,1.4869,1.4863,1.4891,1.4941, & + & 1.4986,1.4989,1.5016,1.5038,1.5017,1.4942,1.4840,1.4730, & + & 1.4637,1.4596,1.4612,1.4677,1.4756,1.4817,1.4832,1.4816, & + & 1.4771,1.4699,1.4626,1.4563,1.4537,1.4537,1.4560,1.4585, & + & 1.4609,1.4611,1.4596,1.4567,1.4542,1.4521,1.4511,1.4513, & + & 1.4511,1.4507,1.4502,1.4492,1.4487,1.4485,1.4486,1.4481, & + & 1.4470,1.4442,1.4417,1.4378,1.4361,1.4352,1.4361,1.4372, & + & 1.4371,1.4368,1.4360,1.4351,1.4341,1.4341,1.4342,1.4339, & + & 1.4326,1.4310,1.4294,1.4280,1.4263,1.4245,1.4234,1.4223, & + & 1.4211,1.4220,1.4239,1.4256,1.4252,1.4250,1.4231,1.4196, & + & 1.4171,1.4136,1.4085,1.4044,1.4006,1.3979,1.3951,1.3940, & + & 1.3934,1.3918,1.3903,1.3871,1.3852,1.3831,1.3807,1.3797, & + & 1.3793,1.3764,1.3731,1.3680,1.3600,1.3531,1.3464,1.3423, & + & 1.3406,1.3397,1.3406,1.3414,1.3421,1.3407,1.3400,1.3384, & + & 1.3353,1.3339,1.3307,1.3289,1.3260,1.3238,1.3207,1.3179, & + & 1.3144,1.3126,1.3107,1.3096,1.3066,1.3031,1.2977,1.2936, & + & 1.2911,1.2916,1.2931,1.2949,1.2929,1.2886,1.2798,1.2699, & + & 1.2618,1.2548,1.2518,1.2490,1.2473,1.2473,1.2445,1.2427, & + & 1.2397,1.2364,1.2345,1.2324,1.2300,1.2258,1.2209,1.2170, & + & 1.2115,1.2049,1.1993,1.1915,1.1843,1.1785,1.1731,1.1683, & + & 1.1641,1.1594,1.1517,1.1429,1.1341,1.1228,1.1109,1.0991, & + & 1.0904,1.0825,1.0761,1.0708,1.0664,1.0620,1.0531,1.0425, & + & 1.0311,1.0186,1.0073,0.9936,0.9814,0.9693,0.9563,0.9435, & + & 0.9325,0.9241,0.9142,0.9029,0.8911,0.8786,0.8657,0.8534, & + & 0.8434,0.8345,0.8267,0.8190,0.8126,0.8057,0.7978,0.7887, & + & 0.7781,0.7668,0.7489,0.7336,0.7199,0.7095,0.7026,0.6986, & + & 0.6966,0.6926,0.6872,0.6803,0.6734,0.6689,0.6679,0.6687, & + & 0.6715,0.6767,0.6848,0.6936,0.7045,0.7181,0.7379,0.7617, & + & 0.7855,0.8113,0.8405,0.8716,0.9056,0.9361,0.9663,0.9983, & + & 1.0367,1.0727,1.1113,1.1524,1.2011,1.2434,1.2864,1.3371, & + & 1.3830,1.4297,1.4836,1.5288,1.5707,1.6169,1.6575,1.7052, & + & 1.7490,1.8001,1.8451,1.8894,1.9394,1.9812,2.0297,2.0707, & + & 2.1155,2.1536,2.1983,2.2376,2.2835,2.3279,2.3639,2.4031, & + & 2.4335,2.4689,2.5057,2.5368,2.5759,2.6161,2.6508,2.6918, & + & 2.7333,2.7685,2.8108,2.8507,2.8908,2.9262,2.9675,3.0086, & + & 3.0494,3.0828,3.1213,3.1594,3.1968,3.2331,3.2668,3.2993, & + & 3.3266,3.3574,3.3882,3.4178,3.4450,3.4704,3.4953,3.5193, & + & 3.5407,3.5602,3.5815,3.6040,3.6271,3.6533,3.6757,3.6976, & + & 3.7166,3.7314,3.7399,3.7458,3.7550,3.7625,3.7723,3.7848, & + & 3.8005,3.8101,3.8184,3.8237,3.8295,3.8310,3.8306,3.8317, & + & 3.8310,3.8332,3.8389,3.8504,3.8629,3.8761,3.8842,3.8891, & + & 3.8885,3.8889,3.8892,3.8901,3.8876,3.8819,3.8732,3.8592, & + & 3.8476,3.8402,3.8404,3.8389,3.8344 /) + + + end module specblock \ No newline at end of file diff --git a/plasim/src/specs/.ipynb_checkpoints/combinedspec-checkpoint.ipynb b/plasim/src/specs/.ipynb_checkpoints/combinedspec-checkpoint.ipynb new file mode 100644 index 0000000..19747ae --- /dev/null +++ b/plasim/src/specs/.ipynb_checkpoints/combinedspec-checkpoint.ipynb @@ -0,0 +1,681 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "%matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "manifest = {}\n", + "with open(\"manifest.txt\",\"r\") as mn:\n", + " lines = mn.read().split('\\n')\n", + " for l in lines:\n", + " lfile = l.split()\n", + " if len(lfile)>0:\n", + " manifest[lfile[0]] = lfile[1]" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0 andesitefine\n", + "1 andesitesolid\n", + "2 basaltsolid\n", + "3 brownsand\n", + "4 clearice\n", + "5 coarsesnow\n", + "6 dunesand\n", + "7 finesnow\n", + "8 frost\n", + "9 mediumsnow\n", + "10 seawater\n", + "11 tapwater\n", + "12 yellowloam\n", + "13 yellowsand\n" + ] + } + ], + "source": [ + "names = sorted(manifest.keys())\n", + "ix = 0\n", + "for n in names:\n", + " print ix,n\n", + " ix+=1" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "ids = [0,1,2,3,6,12,13]" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "andesitefine\n", + "andesitesolid\n", + "basaltsolid\n", + "brownsand\n", + "dunesand\n", + "yellowloam\n", + "yellowsand\n" + ] + } + ], + "source": [ + "for i in ids:\n", + " print names[i]" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "weights = np.zeros(len(ids))+1.0/7.0\n", + "weights[4] /= 2.0\n", + "weights[0:4] += weights[4]/6.0\n", + "weights[5:] += weights[4]/6.0\n", + "offset = weights[0]*0.5\n", + "weights[0:2] += offset\n", + "weights[2:4] -= 2*offset/4.0\n", + "weights[5:] -= 2*offset/4.0\n", + "offset = weights[2]*0.7\n", + "weights[2] += offset\n", + "weights[:2] -= offset/5.0\n", + "weights[3] -= offset/5.0\n", + "weights[5:] -= offset/5.0\n", + "weights[0] *= 2.0\n", + "weights[1:] -= 0.5*weights[0]/6.0" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1.0 [0.43178571 0.17991071 0.16133929 0.06383929 0.03544643 0.06383929\n", + " 0.06383929]\n" + ] + } + ], + "source": [ + "print np.sum(weights),weights" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "wvref = np.loadtxt(\"wvref.txt\")" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(965,)\n" + ] + } + ], + "source": [ + "print wvref.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "specs = np.zeros((len(ids),wvref.shape[0]))\n" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "for idn in range(len(ids)):\n", + " filename = manifest[names[ids[idn]]]\n", + " with open(filename,\"r\") as fileobj:\n", + " text = fileobj.read().split('\\n')\n", + " for k in range(len(text)):\n", + " if text[k].split()[0]==\"Additional\":\n", + " nhead = k+2\n", + " break\n", + " spec = np.loadtxt(filename,skiprows=nhead,ndmin=2).transpose()\n", + " if spec[0,0] > spec[0,-1]:\n", + " spec = np.flip(spec,axis=1)\n", + " specs[idn,:] = np.interp(wvref,spec[0,:],spec[1,:])" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "for idn in range(len(ids)):\n", + " plt.plot(wvref,specs[idn,:],label=names[ids[idn]])\n", + "plt.xscale('log')\n", + "plt.legend()" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "wtspec = np.copy(specs)\n", + "for n in range(len(ids)):\n", + " wtspec[n,:] *= weights[n]" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "netspec = np.sum(wtspec,axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(wvref,netspec)\n", + "plt.xscale('log')" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(0.34, 14.01)" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "for n in range(len(ids)):\n", + " plt.plot(wvref,np.sum(wtspec[:n+1,:],axis=0),label=names[ids[n]])\n", + "plt.xscale('log')\n", + "plt.legend()\n", + "plt.xlim(wvref.min(),wvref.max())" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "import colormatch as cm" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1.0\n" + ] + } + ], + "source": [ + "print np.sum(weights)" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "def bbtemp(teff,wvref):\n", + " sbk = 5.67e-8\n", + " const = 0.0143877735383\n", + " bbf = 1.0/wvref**5 * (1.0/(np.exp(const/(teff*wvref*1e-6))-1))\n", + " return bbf" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[2800. 3100. 3400. 3700. 4000. 4300. 4600. 4900. 5200. 5500. 5800. 6100.\n", + " 6400. 6700. 7000. 7300. 7600. 7900.]\n" + ] + } + ], + "source": [ + "rgbs = []\n", + "srgbs = []\n", + "albs = []\n", + "stemps = np.linspace(2800,7900,num=18)\n", + "print stemps\n", + "bbs = []\n", + "for s in range(0,len(stemps)):\n", + " bbf = bbtemp(stemps[s],wvref)\n", + " bbs.append(bbtemp(stemps[s]-650.0,wvref))\n", + " refl = netspec*0.01*bbf\n", + " albb = np.trapz(refl[:145],x=wvref[:145])/np.trapz(bbf[:145],x=wvref[:145])\n", + " albs.append(albb)\n", + " #srgbs.append(cm.specs2rgb(wvref*1e3,[bbf,]))\n", + " rgbs.append(cm.spec2rgb(wvref*1e3,refl,normalization=albb))\n", + "srgbs = cm.specs2rgb(wvref*1e3,np.array(bbs))" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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CLNSJiIiIiJoQC3UiIiIioibEQp2IiIiIqAmxUCciIiIiakIs1ImIiIiImhALdSIiIiKiJsRCnYiIiIioCbFQJyIiIiJqQizUiYiIiIiaEAt1IiIiIqImxEKdiIiIiKgJsVAnIiIiImpCLNSJiIiIiJoQC3UiIiIioibEQp2IiIiIqAmxUCciIiIiakIs1ImIiIiImhALdSIiIiKiJsRCnYiIiIioCbFQJyIiIiJqQizUiYiIiIiaEAt1IiIiIqIm5Gp0gHKpMg4/dkGXgwjIl6FhHAIZSLhgoh0xcSIM0Y84BmAJf/1yIQG/sge6MoSA8ho0MXk4l2xFzF4Cw+5F3D4WFnz1yyWS8LsOQncdQsAVhqbEIYQFKVWYth+xTAhGZh7imfmwpLeOudLwuyPQ3aMIuEegqQaEkJBSwLR0xNLdMNJBxNNdsKS7brkAQFVM+D2T0D0xBLzj0NQ0hLAhpQLTciOWbIeRCiCeaoVla3XMZcHvTUL3JhHwGdBcGQgBSAmYGRdiCR1G0ot40gvLVuuYS8KvW9C9FgK6BU2Th3OZAjFDhZFUETdUWLaoYy7A71eh+xQE/Co0TTkil41Y3IKRsBGPW7DsusWCqirw+73QfW4EAj5omgtCCEgpYZoZxGIJGIk04vEkrDoGUxQVft0Pn0+HvyUAzaUdzpUxEZ+KIZEwEDfisG2rbrkAQAgVbo8fbrcOtycAVdUgICAhYVkm0qkY0mkD6VQcUtYzmwrV5Yei6lDVABRFAyAASNi2CcuKwbYMWJk4gPrmAvyA0AERAHA4F2ACMgZIA0B9c0mpwpZ+WLYOWwYg5eFcQphQRAyqYkARzt+perGlikzGj4ylw8wEYEsNkAIQEoowoblicKkGXK44lDrmAgDbVpE2/UibOtJmwPmbk82mKibcWgxuzYBbi0NR6pfNslWkUn6k0jqS6QAsS4OUAkJIqKoJrzsGj9uAxxOHWs9clopkyo9kUoeRDCBjHT5fLtWE7o3B6zXg9cShqvV9LislpJQl73zyySfLDRs21DBOYbocRI/9INqxHTZcUJCCgpl/xGwosOGBggzGcRqGlb+FIfprl0uE0eN6DO3qX7K50lBEnlxSgQ23k8tahuHMWTBkqHa51EPo8T2Ddvcu2FKFIkwoYuZzbUsBW2pQhIXx9ACGE8thWPNql0sbRU/LDrT7hrK5MkVyuZxciV4MT50EwwzWLBcA6O5J9LSF0a6PwpYCimJByVNX2tL55akIiXEjiOGJEIx0a+1yeZLo6RhDe0s8m8sukktxck35MRzthJGq3Zsv3WuhJ5hGe8CCLQFFQZFczrbxmIrhUTeMZO3eSOg+BT1dGtrbXEfkmhnMlvJwrokMhiMmjETtCmPd50FPdxva2/2wbQlFUaDkOWG2LWHbNhRFYHw8juGRCRiJVM1y+Xw6urp60NbaDiltKIoCIWZ+2CqlDdu2IYSCiclxRCLDSCSMmuUCAE3T0RLogU93sglROFtue8IYx1RsGKZZu2yKqkNz98CltQPSBorkym3PmOMw08OwrVqeMx0QPYBoB2ADUIA8uSDtw9vlOCCHAdQul2XryFg9sOQRufJ+oH84lyrG4VKHoSq1y5XJ6EikepDOtEPAhiySK7fd7RqHzzMMl6u2r/20qWPK6EEy1T49UVQwW3a71zOOFn0Ybq122VJpHROxHhiJdqCEXJAKdN842gLD8LhrlyuZ0jE23oO44TyXdpFcinCeS78+js72YXg9tX0uC1m+fPk2KeXy2fZr+kJdk2Pot9dBx24ImFBQel4bAhIaDCzGoPIpmKKzerkwjn73PdCVMATyF5sFc0kBCRcMO4TB9Mdgor16uZQY+lsegO46BAGrglwqjMw8DE6tgGkHqpjLQH/nn6BroxDCLj+XVGCkgxiMvhumrVctFwBoahL9x+yA7olls5X+WFvCyZYKYPD1k2Ba1SuMNZeJ/nmHoHuTEEJWkEvASHoxeGgezEz1Zv41l43+hUnoPhtC5C/Oi+cCjISCwf1emJnqrb7TNIH+kAe6rkIAeYvggrlsCQnAMCwMhlMwzdJfn7PnUtG/qAe67oEQovxcUsIwUhjcOwzTrN4MkObSEAr1Q9d1AAKKUvpzYds2AAnDMBAOD8LMmFXLBQCKqqGzsx+aW4cQIm8RXIhTtEuk0waiY4OwreplE0KDR++HqjrnrNxcgIRlGUgZg5CymudMA5R+AE6uvMV5wWBOLsAA7EEA1ctlSw3pTD9smc1V1mpbJ5ciDLhdg1BE9XJZtoYpox8Zq/JcLtVAiz4IVanua9+yNEQn+5E2K8/m1gx0tA5CVauXLZPR8PpYP1KmDinLzyWEhEczcEznIFyu6uUyMxoOjfQjmao8l9djYF73ILQq5irFm79QlxJB+QRCcqNTCM/h4zkbKiRcCIvLMCreB+SZXSsjGILq0whpm7IFeuUzcLZUnFzmRRi1/hrO/5RzyOV5ESH/I9kCfa65VITj52A0tXTuufTdCLVtc3IplRdAtu28kQhPvAOjxuI55spmazmEUPBVCMgqZBMIjx6H0al5c8wmEWydRKh7JJur8iPZNpxcI90YnWyde642E6H56WwhPNdcQPigG6MTuY+/KxfscCG0wOO8cSjnncOMXBJSAuEDKYxGM3PKBADBzgBCvV3ZXJWfMNu2nVxDEYyOxeacq6M9iAULQtk3DnPNJXHgQBjR8dE55wIAXQ+irSOEct885MsGSExEwzCMuWdzaUF4fE6ucgr0N8oV7KlEGBmzCudMBAHh5CqrQJ8RLFuwyzAg55ZLSiBjB2Fa2VxzuhzOyaWpYbiU0Tn9+ZYSSKWDiCerl8vvDcPjnluuXDYjGcRkLARZhWwCEq2BMHTv3M9ZLB7E2ESogkI4Ty4h0dkWRsA/91yTsSBGRquXqzsYRmtg7s9lqd7chbqU6LX/G114DCrSVTusBTciOAtDyqUVFusSva7N6HI9BVVUMZd0I5J5J4YyF6KygkWiV38UXd4/QxVzLy4O53IhkjwFQ8bZledq244ufVdV16hZtoqIMYChidMqzJXN1rkLXYGDUJXqLXewbAWR2HwMjQ1UmE2it+t1dLVPQJ3DG4eZuQQi420YihxTea6eNLo6TKhVvATdsoFIVMPQsLvCXEDvfDe6OjWoavV+u1qWRGTMxNDByv8/710YRFewFWoVT5hl2YiMTmJof+WF1Pz5vejs7IKqVG/5kWVbGBuL4ODBoTkdp629F7q/C0oVs9m2BSMewcR45dnc3l5o7i4IUb1cUlow0xGkk3M4Z6IXEF1AFXNBWoCMALKyXFICptWLjN0FZ618tVhwKRFo6lBFf76dQrgXyXT1c3ndEejeynLlsk1O9SKeqH42vy+C1pbKz9nYeC9iRhekrF4uISwE9Ag62yvP9fpoLyZi1c/VFojgmGDlz2U5Si3Um6/ry3SR/nhVi3QAUJFGFx5Hr31PJcGyRfrWqhbpgHNhZZdrK3pdv6osl/4oujzVLdKdXBl0ef6MXv3RynLVoEgHnIsqu/Rd6G3dXuERalOkO9lsdAUOordzV2W5alCkO7kkuton0Nv1emW5alCkO7mArg4TvT2V/T9ViyIdAFRVoKtTQ+/8yi5krkWR7uRS0BVsRe/Cyq7XmD+/F50d1S3SAUBVVHR2dGH+/N6Kj1GLIh1wLpLV/V1oba8sWy2KdMC5QFZzd8HtrfCc1aJIB5zjiS7n+GWqXZEOACoydhdMq7JctSnSnVzJdBeMZGXPY65IN6pepAOACiPRhcmpys5ZLYp059gqYkYXxiYqy1WLIj2XayLWhddHK/89VgtNV6gH5RPZmfTaXDylIoUuPIqg/Xh5udSnszPptVnDpAoTXa6tCKpPlZfL86Izk65Ut0ifzqVk0OX9M4Kev5SXS99dkyL9cC4LXf5dCOqvlf3YYMuhmhTpObliPdhysLxcrZM1KdIP53KK9WDrRHm52syaFOmHcznFerCtvGI92OGqSZE+nStbrAc7ymuOFewM1KRIP5zLKdaDneVdQ9LRHnRm0tXaXMirqio6O7vQ0V7+mwhdD9akSM9RFBV+fxd0vbxsLi1YkyI9J1esu7Qyz5kI1qZInz5+rlgvL1fGDtaoSM/JFevl5UqlgzUq0nOcYj2ZKv+1bySDiCe6IGuUTUJFPNGFeKK8bLF4sCZF+nQuqSIW78LkVHm5JmPBmhTpR+aaiHVhYrK2zSvK0VSFuibHEJIbqz6T/kYq0gjJjdDkWGm5MI6QtqnqM+kzcok0QtomaCitkNKUGEL+R6o+kz4zVwYh/yPQlNLWxmqKgVDbtpq3ZFIVC6G2bdDK6AqgqUmEgq/WrEjPURUboeCr0NTS3nBqLhOh7pGaFemHc0mEukdKvmhGc9kIzU/XrEg/nAsIzUtDc5X2vGiaQGiBp2ZF+nQu1RlHc5U2jqapCPV21axIP5xLQai3C5pW2h8rzaVhwYJQ1WfSZ+RSVCxYEILLVfrFy4qqoa0jVLMifXocRXXGUUvLJoQGjy9UsyL98DhqdpxSz5nmrEmvcS6nWA8545XAllp2TXqtW8OqMK2Q00KxBJatZdek1z5XPBkqq2WvZWmYjNUn2+RUCJZVWrZMRsuuSa9tLilVjE2EnBaKJTAzWnZNeu1zjYyGqtqEYS6aqlDvt9dBoLZFZ45ABv32upL27XffU99c7v8uad/+lgcg6tQDV8BCf8sDJe3b3/mn+ubq+FPJ+/cfswOijM5BcyEg0X/MSyXt2z/vUH1zzTtU0r79C5NzvmS3VEI445WiP+Sp2wU/QgD9fZ6S9u1f1FPfXIt6Sto3FOqHqFMwIQT6QqW3xO3s7MfcLwwvlUBHZ2nZPHp9cznjlUCpby5nvNmlM/XN5Yw3uymjvrmc8UoTnezPXjhae1IKRCdLy/b6WH/2As3ak1Lg9dHSch0aqW+uQyO1a+1djqYp1HW5Gzp2z6m7SzkUWNCxG7ocLJ5L7IOuhOfURaWsXMKGroShi3DxXOoh6K5D9c3lOgRdLV7g6doodG10Th1UysqlSOhuZ8zZ6G7nJkZ1zeaJQXdPFs/lcW5iNJcuKuXlAnRvErqneFGsey3oPru+uXw2dG/x3wG6T4Guq3Pq7lJeLgFdd26cVDSX7oGue+bUqaS8XIozpq/4mwifT4eu63XOpcPnm72NqubWobnrm83t1qFpxbM5NzDS59TdpRxCKFBVHYo62znTnX91yuWMkx2zCOcGRjrqV1IosKUOa5ZWvZmMnm3BWL9cGUtHJjP7a9+5gVF9sx0es7BUWkeqzrlSpo5UuniuZFJHMlXfXMlUbszGappCvcf+DUQV+7eWQsBEt/1g0X16XI/XbTY9RyCDbtdjRffp8T1Tt1nrHAEL3b5tRffpadnh3OSgjoSw0d3y8qz79bSFG5Otrfibrp6OMYgy+spXgxAS3R3Rovv0BNN1mx3OEQLo7iy+xKynS6vb/FiOANDdVfxj0J5j2uo2a50jhEB3d1vRfbq6elC/GcUcga6u7ln3amnpacg5awkUz6a5G3PONPcs50w0JhdE8VwZqzG5MlbxXIlUY3Il0rO/9qeMxmSbMopnm4j11G3WOkdKgYlY8VxjE43JFR2f/bmstaYo1FUZRzu2l3Uzo2pQINGB7VBlPH8uJNCu/qWsm/NUJZeQ6FD/AhWJ/LlEEu3uXY3J5X4Vqsg/E6uKNNp9Q43J5Rsqeg2Bqpho10fLujlPNSgC6NBHC94UQ1UstLfEG5OrZargdQSqItEeyH9n1prnarUKrtVXFaC9zVW32fTpXIpAR5ur4Fp9VVXQ3u5vTK52f8E18Yqioq21vW4z1ofHVdDW2lF03bkQKnx6e91mrQ+Pq8CndxRZe67CpTUml0vrQOH1yqpzx9E654JQAFE4l5Rq9o6j9S4nFFiyo+B6ZVuqSGcakyttdsAuso7atlUkU43Jlkx1wLbzZ7Ns1bnjaANyGYkOWIVyWSriRmNyTRkdsKxaX0MwW4om4Mcu2Civs0K12HDBj/ydQ/zKnsbmUvbm3eZ3HSz6S6CWbKnC78rfzcTvjjQwlwK/O1Jwu98zCbvO78ZzbCng9+Rf/uL3Jhuby5v/TZdft2DX9/3WNFsCfl8KDqpgAAAgAElEQVT+NxB+v9rYXHr+17ff74XdoGC2LeHX8y9/8ev+7A126k9KG7ruL7jd7WlsNrcnfzbV5c/e/KcBpO2Mn5cfzk12GsHOjp9ni2xsLmf8mTIZP0SDcgnYyGQKv/bTpr/un+7mCGEjbebPlkr5gQblgrCRSufPlUw19rlMpgo/l/XQFIW6Lgdr1o5xNgpSBdep68pQzTvQFKIgDV3Jv2RCdx2qWZvI2SjChO7Kv05dd4/WvANNIYrIFF2nrntiNe9CU4iiWNDd+Tvm6N5kzTvQFKIoNvQChbrutWre6aUQZ616/udK9ymNzaXnH1z3uWve6aWQ3Fr1fHw+vebdVApRFAV6kXXqbrde844qhQihFFynrqh67TuqFCKUwuvUhY7adwcpRMmOP5OzTrxxuQqtU89Yes1aHs5GZteqF5I29Zp3LilESqXgOvVUurG5Cq1TTyb1hk4CNnqdelMU6gH5csPeLSmwEZA78m4LKK817F2vImwElPwz/QFXuO5rmnMUIRFw5X8DEXCPNDaXZ6Tg9oB3vO7rrXMUAQR843m3BXxGg3Plb20Z0K3G5tLzF+oBv1r3Nc05ihAI+PP/sQgEfI3LpQgEAr682/wtgYblEkKBv6Vwr3e3p7HZPN782VS1sblUtcA5E4EK76hdBUJxxs/DlgHUf611jpIdfyYz09hczvj5pc3GZnPGnymZbmyuZCp/LiPZ2FxGorx7VlQ/QRPQkL+IafT4mijeraPWCo2vKfnX1NdLofE1tfR+5rWgqfnX9DvbGvPJyGzja67GfAIx2/ia1qD1JbOMr2mN/ZVVaHxNa8wSudnG18roZ14LxcZXS+xnXiuFxleUxuYqPH6jezrnH1+W2M+8VgqNX2qf9VopNn45vdZrodD4pfZZr5VC45faZ71WGj1+UxTq9e6qUur4TZtLNGYJx2zjN2o2/fD4hT/9aNQnI7ON36gJstnGZ67yxm/UDOxs4zdrLgAQDZshm238Br/ImKtMBcZv0LU/JY3fpNnq3VWl5PGb9HzVS1MU6rJBF2zONn7T5mrQWq3Zxm/8/+SFX87FttVDofFlY9/bFByfucobXzY4WKHxmzUXAMg6d/kqffwGv8iYq0wFxm/wxFHR8Zs0W+Mn296Ez2UdNEWhbqK9Kcc3ZWudk5Q2vmk39grkQuObRS6eqQfTyr9O19nmrmOS0sc3M419M1hofNNs7JuuQuObZmM/GSk0vmk29tO3QuObmcZcdF7K+JbV2GyFxrftxuYqPH5jcxUaXzSoscFs4ysNzlVs/ELteuulYLtgtcG5CozvanCuRo/fFIV6TJwIu0FRbCiIiZPybovZS2A3aCbWlgpi9pK822KZUENb+sUyobzbYunuxuZKFb4xQSzZ3tC2frFE/jeDsYTe4Fz531zFjMa2QYwZ+T+1icUt2A2aJbalRCyef9lXLJZoaHvGWCz/9RnxqVhDWyDGp/J3OwKAdKqx2VLJ/Nksq7G5LKvAOZOxhraNhMyfSxExNLI9ozP+TJqrsbmc8fNza43N5ow/k9fd2FxeT6HuaI3NpfsKP5f10BSFuiH6YaP4bbBrxYYHhujPu82we2GjMTOxNtww7PwFsZGZ17ALZWypwcjMy7vNSAdhywb1nZcuGGaw4HYjFSh4k4das20VRrrQ1exe2HaD3gzaCoykN+82I6nCbtDvRdsGjET+58pI2I3NZeQf3EikYTcomG3bMIz87W0TCaOxuRKFLzBPp42GFsSmmT+bbRkNLYhtq8A5kwYa2kdd5s+lKo3N5Yw/k0s1Gtp721WkuYJbMxraR92t5c/mcTc2l8edP5fXa0BpYAc+r6exjTKaolCPYwBKgy7cVJBBHPlnruP2sY3NZS/Kuy2emQ+lQReUKsJCPDM/77Z4uquBuWzE010Ft8dTrXW/Y2qOIiTiqfzLmOJJb2NzFSjU44Za97uS5igCiBco1OPx+t8tNUcRQNzI//qOx5N1vytpjqIIxAsU6nEjXvc7bOYIocAwCneoSqcamy2dyp/NysTrf/fPHKE44+cVR+P+ZCvZ8fNsEY3N5Yw/k8sVh2xQLgkFLlfh175bizfsuikpFbi1/Nk8njjQqOu5pAKPO38ur6exz6XX09hOe01RqFvCj3GcBrvOV4/bEIjiNFgi/5prCz6MW8vqvpzDlgJRaxks5F9zbUkvxtMDjcmVPg6WzF/cWdKN8URvY3IlemHJwp9+WLaGcSNY9+UctgSiRrBwOyxbxfiUvzG5ploK37LZFhiP1X/5iy2B6KQKy87/GrJsYHwiU/dlJrYtEZ3IwCowqWNZNsbH443JNR6HVSCYbVuYmByv+6y6bduYmIzCtgu/cZfSQsIYr/usupQ2EkYUUhbKZiFjNiZXxowCKJwLcrz+s/3SBmThXEJYUMU46j+rbkMV0YJdyBRhwe1qTC63Fi06aaUoFryexmTzeqJQCtz8T1Us6L7G5NJ90YI3JVRVC369Mbla9ChUtbGd9pqiUAeAYeVvIevcJ1ZCw4jyt0X3Gc6cVffuLxIujGTOLrrPcGJ53e+6JqFiJLG86D7DUyfVfaZASgUjU/mvMzjS8ESoMdkm+oruMxztrHvHHCkFRqIdRfcZHnXXvcuKlMDIWPHlZsMRs+59JiSAkUjxC4qGRybq3mVFSomRkeL3oYhEhlH/zhwSkdcL34AsZyo23JBzNhUrns1MN+acmalZzplsTC7I4rlcamNyaWrxXD5PY3L5itx8L6dFb0y2Fr14trbAcN27vwgh0RYonquzvTG5Otpnfy5rrWkKdUP0w8Bi2HUqPm2oMLC44Pr06VwyBMMO1e2iUlsqMOwQDNlbPJc1L7tWvY65MvNgWD3Fc5lBZ616gRnRqueyBYx0EIbZOeu+Rro1u1a9jtlSgYLr06dzpbzZtep1ieWstU56YaTyfzIynSupwkgo9c2VUGAki/8OMBI2DMOq2+y1bUsYhgUjUfxEGIkUDCNVt9nr3Np0I1H8Zl6JhAHDqN9adSeXgURy9nWdpmkgna5vtnTaKLg+fXo/y4Bl1W8NvXMRqQHbnu2cGc6/es2qS/vwmEWoigFF1HOtug1FGFAKrE/PcbmM7Frx+uVyqUbR9ek5bs3IrhWvX7bDYxbmcRvw1DmXRzMKrk/P8XqM7Frx+uU6PGZjNU2hDgCDyqfqNnst4cKg8qmS9h1Mf6y+udKXlrTv4NSKus2qS6gYnFpR0r6D0XfXN1f03SXvP/j6SZB1WmIlITD4+skl7Tt4aF59cx3Kf0HwGw3u99ZtzkdKZ7xSDIZTdZvtlxIY3Jd/DfgbDe4drm+uvcMl7RsOD9Zt5lpKiX3hwZL3j44Non4zizI73uxSRn1zOeOVwK5vLme82bld9c3ljDe7Fr2+uZzxStPROghRp2xCSHS0lpbtmM7Bus1eCyFxTLC0XPO665trXnfpz2UtNVWhbopOhMVlsGrcacWCG2FxGUwx+yws4PRZD5sXFV0DXZVc0o2weRFMtJWWyw4gHD8HVo07rVjShXD8HJh28Znhw7l0hCfeUXD9c9Vy2SrCE++AaZfev920vAiPHgerxp1WLFtBePQ4mFZp3YzMjIbwSHfBtdnVyyUQHumGmSltmZmZURA+6C64Nrt6uYDwITfMTGnPi2lKhA+kYFm1/aVtWc44Zqa0cUzTQngoUnDNePVy2QgPRWCapa2dNDMmDhwIwyqyZrwquWwLBw6EkSmjf7ttmZiIhouuZ68G27accUrs3y6liVQiXGQte3VIaWXHKfWcmYAMAzXOBWk545TYv10RJjQ1jMJr7KvFgqaGS+6Triom/N765PJ7w2X1SFdVE62B+mRrbQmX3Cfd5TLR2Rau+V3QhbDQ2RYuuU+55jLRHaxPru5gGJqr0fcucDRVoQ4Ao+J9iOAsWDVq12jBgwjOxqhyZnm5rL9GJPNOWDVqi2hJDZHMuzBqvbO8XKmliCRPgWXXpli3bBciyVMwmlpWXi5jMSLGQM2KdctWEYkPYNTI37GnmNGpeYjE5tesWLdsBZHYfIxO5e+OUzDXZCsi4201K9YtWyAy3obRydLeCE7nmtAQiWo1K9YtG4hENYxOlPdGeDSaQWTMrFmxblkSkTETo9HyOj+NjsUQGZ2sWbFuWTYio5MYHSuvt290fBRjYxFYVm3+yFmWhbGxCKLjo2U/1jBGYcQjNSvWbdtCPB6BYZSXLWOOwkxHalasS2nBTEeQMcs8Z3IUkJHaFevSyh6/vFwuZRQuJYLaFZ4WXEoEmlpeLo97FF53bXN53RF4PeW/9nXvKPy+CESNsglY8Psi8PvKyxbwjyKgR2pWFAthIeCPoLWlvFytgVG0BWqbqy0QQVtr+c9lrTRdoQ4hMKRcigjOrPrMugU3IjgLQ8rHKgmGocyFiGTeVfWZdUu6EcmcjqHMBZXlMs5GJHVK1WfWLelCJHUKhoyzK8s1cVpNivVckT40eVqFRxAYGhuoSbGeK9KHxgYqyxU5pibFeq5IH4ocU1muYXdNivVckT40XNn/U0MH0zUp1nNF+tDB4uu/C+baP1qTYj1XpA/tr+yPyMGDQxiLRqo+s27ZFsaiERw8OFTxMSbGh2pSrOeK9MnxyrKlk0M1KdZzRXo6WeE5k0O1Kdani/TycwkBaOpQjYr1XJFeWS7dO1SjYt0p0nVvZc+jEEBryxB0X22y6b4IWlsqO2ed7UM1KdZzRXpnW2W5jgkO1aRYzxXpxwQr/z1WC6KcdYsnn3yy3LBhQw3jHEFKBOUTCMmNEMhAmcML2IYKCRfC4rKyZ9LzBENQfRohbZOTaw5N+G2pOLnMi8qeSc+by/MiQv5HIGBVIZeKcPycsmfS8+bSdyPUts3JpVReUNm2cHJNvKOimfS82VoOIRR8FQKyCtkEwqPHlT2TnjdX6yRC3SPZXJUfybadNenhke6yZ9Lz5mozEZqXhhCYey7pLHcpdyY9n2CHC6EFnmyuyt/k2LZ0ch1IlT2TnjdXZwCh3q5srspPmG3bTq6hSNkz6fl0tAexYEEIQogq5JI4cCBc0Ux6ProeRFtHCMDcswESE9Fw2TPp+bi0IDw+J9dc+r87F6hKpBLh8mfS8xFBQDi55tT/PZvLWVYzt1xSAhk7CNPK5prTnKCTS1PDZc+k58uVSgcRT1Yvl98brmgmPV82IxnE5FQo2wVsbtmEkGhtCZc9k54vVywexNhE9XJ1toXLnknPl2syFsTIaPVydQfDdZ1JX758+TYpZfFWemjmQj1Lk2Pot9dBx24ImFDKuPDChoCEBgOLMah8quQ16SXlwjj63fdAV8LZgr2MXFJAwgXDDmEwfWnJa9JLyqXE0N/yAHTXoWzBXm4uFUZmHganVpS8Jr20XAb6O/4E3T0KIezyc0kFRjqIwei7y1qTXlI2NYn+Y3ZA98Sy2Up/rC2dFoxGKoDB108ueU16SblcJvrnHYLuTUIIWUEuASPpxeCheSWvSS8tl43+hUnoPtspQMvO5XR3GdzvLXlNekm5NIH+kAe6rjp/gssIZtsSEoBhWBjcV/qa9NJyqehf1ANd92QL4zJzSQnDSGFw73DJa9JLyuXSEAr1Q9d1lFsU54pgwzCwLzxY1pr0Uiiqho7OfrjdOoQorzCW0nnzkE4biI4NlrwmvRRCaPDo/VBV55yVmwuQsCwDKWOwjDXppdAApR+Ak6usgj1XoMPIXjhavVy21JDO9MOW2VxlFVNOLkUYcLsGS16TXgrL1jBl9CNjVZ7LpRpo0QfLWpNeUjZLQ3SyH2mz8mxuzUBH62DJa9JLkcloeH2sHylTr6Awdgphj2bgmOBgyWvSS2FmNBwa6UcyVXkur8fAvO7Buq9Jf8sU6jm6HES3/SA6sB02XFCQgpKnTY8NBTY8UJBBFKdhRPnbWVswzimXCKPb9Rg61L9kc6XzzmbbUoENt5PLWoaRzFkwZKh2udRD6PZtQ4f7VdhShSLMvMWxLQVsqUERFqLp4zCSeAcMq7SOIBXl0kbR3fIyOnxDsKUCReR/k+PkckERNqKJXoxMnQjDDNYsFwDo7kl0t4XRoY/ClgKKkv8umLYEbFuFIiSiRhAjEyEY6fx3Hq1KLk8S3R1RdLRMZXPlfzPh5FKcXFMtGIl2zNqCcU65vBa6O9PoaLVgS2eGvXAuZ1t0UsXImHvWFoxzyuVT0N2loaPNdUSumcFsKQ/nmshgJGLO2oJxbrk86O5uQ0e7H7YtoShK3qLdtiVs24aiCETH4xgZmYCRKK3rTCV8Ph1dXd1oa+2AlDYURclbgEppw7ZtCKFgYjKKSGQEiURtW5dpmo6WQDd8upNNiMLZctsTRhRTsZFZWzDOhaLq0NzdcGkdTqFbJFdue8aMwkyPwLZqec50QHQDogNO0abkL9qlfXi7jGb7pNcul2XryFjdsOQRufIWVIdzqSIKlzoCdZYWjHORyehIpLuRNjsgYGfvfpk/V267W4vC5x6By1Xb137a1DFldCOZ6oAQdvYeIAWyZbd7PVG06COztmCci1Rax0SsG0aiAyghF6QC3RdFW2Bk1haMc5FM6YiOd2PKcJ5Lu0guRTjPZYseRUf7SMNaML7lCvUcVcbhx2vQ5SACcgc0jEMgAwkXTLQjJk6CIfoRx5KCdxytSS4k4Ff2QlfCCCivQROTh3PJVsTsJTDsEOL2ooJ3HK1JLpGE33UQuusQAq4wNCUOISxIqcK0/YhlQjAy8xDPzC94x9Ha5ErD745A10YR8IxAUxPTv2xMy4dYqhuGGUQ83VXzbjszsikm/J5J6O4YAr5xaGr6iGxuxBLtMNIBxFOtBe84WptcFvzeJHRvEgGfAc2VgRDODLWZcSGW0GEkvYgnvTXvuHN0Lgm/z4LusxDQLWiaPJzLFIgZKoyEinii8B1Ha5ML8OsqdF1BwK9C05QjctmIxS0Yho24YdW8q81RuVQFft0DXfcgEPBB01wQQkBKCdPMIBZLwDBSiBupmnePOZKiqNB1P3SfDn9LAJpLO5wrYyI+FYORMGAY8Zp3aHkjIVS4PX5omg6PNwBV1SAgICFhWSZSyZjTkz0Vr3mXlqOpUF1+KKoOVQ1AUTQ4s6AStm3CsmJOT/ZMHLXv7HF0LsAPCB0QAQCHczldY2KANADUN5eUKmzph2XrsGUAUh7OJYQJRcSyPdnjNe/scSRbqshk/MhYOsxMALbUACkAIZ1uNq6Y0x/dFS96x9GaZLNVpE0/0qaOtBlw/uZks6mKCbcWy/ZHjxe842gtWLaKVNqPVFpHMhWAZWmQUkAICVU14fXEnJ7s7njBO47WJJelIpnyI5nSYSQCyFiHz5dLNaH7Ytn+6PGG33H0LVuoExERERG9mZVaqDdf1xciIiIiImKhTkRERETUjFioExERERE1IRbqRERERERNiIU6EREREVETYqFORERERNSEWKgTERERETUhFupERERERE2IhToRERERURNioU5ERERE1IRYqBMRERERNSEW6kRERERETYiFOhERERFRE2KhTkRERETUhFioExERERE1IRbqRERERERNiIU6EREREVETYqFORERERNSEWKgTERERETUhFupERERERE2IhToRERERURNioU5ERERE1IRYqBMRERERNSEW6kRERERETYiFOhERERFRE2KhTkRERETUhFioExERERE1IRbqRERERERNiIU6EREREVETYqFORERERNSEWKgTERERETUhFupERERERE2IhToRERERURNioU5ERERE1IRYqL9JJJNJfOMb38DKlSvxzne+E6tWrWp0pIa57777sHz5cjzzzDONjkJERERUM65GB3izGRoawvr167F9+3YcOnQIbrcbwWAQS5cuxapVq7B8+fKajLt+/Xr87Gc/w8c//nEMDAzA7/fXZJxqe+qpp3DvvffihRdewNjYGDRNQ19fH8444wysXr0aPT09jY5IRERE1JRYqJfhpZdewjXXXAOXy4WVK1di8eLFSKVSCIfD2LJlC3Rdr1mhvnXrVgwMDOAzn/lMTY5fbbZt49/+7d+wadMmzJ8/H+eddx76+vpgmiZ27NiBn//859i0aRMeeuihRkclIiIiakos1Mtwxx13IJlM4p577sHxxx8/Y3skEqnqeMlkEi6XCy6XC6Ojo2+q2ecf//jH2LRpE8477zysXbsWmqYdtf2zn/0sfvzjHzco3UyWZcE0TXi93kZHISIiIgLANepl2bdvH9ra2vIW6QDQ1dU1/fWBAwewfPlyrFu3bsZ+69atw/Lly3HgwIHp761duxbLly9HNBrFTTfdhHPPPRfve9/78OCDD2L58uXYv38/tm/fjuXLlx913C1btuBLX/oSLrzwQrznPe/B2Wefjeuuuw7btm3LmzEcDuOmm27CihUrcPrpp+ODH/wgrr/+euzYseOo/V566SXccMMN+Ju/+RucccYZ+NCHPoQ777wTmUxm1vM0NjaGDRs2YP78+bjxxhtnFOkAEAgE8LnPfe6o7x04cABf+cpXcO655+KMM87AhRdeiB/84AdIJpOzjgkA4+PjuO2227By5UqcfvrpWLlyJW677TaMj48ftV9ujfvWrVvxk5/8BBdeeCHe/e53c3afiIiImgpn1MvQ29uLvXv34pFHHsE555xTkzGuu+46BINBXHXVVUgkEujv78dXv/pVfOtb30J7ezuuvPJKAMBxxx0HwCk6JyYmsGLFCvT09GBkZASbN2/Gtddeix/96Ed4+9vfPn3sl156CZ/+9KeRyWRw4YUXYsmSJZicnMT27dvx/PPP46STTgIAPPnkk/j85z+PUCiEyy67DK2trXjhhRewbt06vPLKK7jtttuK/gxPPvkkUqkUVq5cCY/HU9LPffDgQVx++eWYmprC6tWr0dfXh23btuGuu+7C888/j9tvvx0uV+GX69TUFK688kqEw2FccMEFOPHEE7Fz50784he/wNNPP43169fPWNf/3e9+F5lMBhdffDH8fj8WLVpUUlYiIiKiemChXoarrroKW7duxRe+8AX09fXhbW97G5YuXYp3vOMd6O/vr8oYS5Yswc0333zU95YtW4Yf/vCH6OzsxIoVK47a9uUvfxk+n++o711yySX48Ic/jLvuumu6UJdSYu3atTBNE+vXr58u9AHgiiuugG3bAIBUKoWbb755esxccXzJJZfguOOOw7e//W0888wzRdfiv/baawBQ8JOHfH7wgx8gGo3iO9/5Dt773vcCANasWYPvfve72LBhA+6//35cdNFFBR+/fv167Nu3D1/84hexZs2a6e8ff/zx+PrXv46f/vSn+PSnP33UY3LLmLjchYiIiJoRl76U4ZRTTsHGjRtx/vnnY2pqCvfddx9uvfVWrFmzBldffTWGhobmPMZll11W1v5HFumGYWB8fByqqmLZsmV48cUXp7ft3LkTu3fvxqpVq44q0nMUxXkpbN26FaOjo1i1ahWmpqYwPj4+/e8973nP9D7FxONxACi5M41t23j88cdxwgknTBfpOX//938PRVHw6KOPFj3Go48+io6ODlx88cVHff9DH/oQOjo68Ic//GHGY1avXs0inYiIiJoWZ9TLNDAwgLVr1wJwlmts27YNmzdvxrPPPovPfe5z2LhxY9412aUqd/nF0NAQfvCDH2DLli2IxWJHbRNCTH8dDocBACeccELR4w0ODgIAvvrVrxbcZ3R0tOgxcgW6YRhF98uJRqMwDAOLFy+esa2trQ1dXV3Yv39/0WMcOHAAJ5100ozlMS6XC319fXj55ZdnPKavr6+kfERERESNwEJ9DubPn4/zzz8fK1euxCc/+Uk8//zzePHFF3HqqaceVSS/kWVZBbeVM8NrGAauvvpqJBIJfPSjH53ury6EwN13342nn366rJ8HcJbIAMBnPvOZgktXjjnmmKLHWLJkCQBnFv/9739/2RnqhbPpRERE1MxYqFeBEALLli3D888/j5GREQBAa2srAGBycnLG/rPNDpfqqaeewuuvv44bb7wRF1xwwVHbfvjDHx7137nZ41deeaXoMXP7+Xw+vOtd76oo13vf+154PB488MADuPLKK+F2u4vu39HRAb/fj927d8/YNjk5iUgkMut694ULF2Lv3r3IZDJHzapnMhns27cPCxcurOhnISIiImoUrlEvw5YtW/K2J0wmk9iyZQsATC/f8Pv9CAaDePrpp6dnqQFnqcps661LpaoqABx1/FzOv/zlL0d97/jjj8fixYvxq1/9avpizyPljnHGGWegs7MTd999NyYmJmbsl0wmp9egF9LZ2YmPf/zjOHDgAG6++WaYpjljn6mpKfzHf/wHAGd9/Pve9z7s3LkTf/rTn47a7+6774Zt2zj77LOLjnnWWWchGo1i06ZNR31/06ZNiEajTT2zT0RERJQPZ9TL8K1vfQsTExM488wzMTAwAK/Xi+HhYfzmN7/Bvn37sHLlSgwMDEzv/+EPfxg//OEP8U//9E8466yzEIlE8Mtf/hJLlizBSy+9NOc8p556KoLBIL7zne/g4MGD6O7uxiuvvIIHHngAAwMD2LVr1/S+Qgj8n//zf3Dttdfi8ssvn27PGIvFsH37dpxxxhn4yEc+Ap/Ph5tuugk33HADLrnkElxwwQUIhUKIxWLYs2cP/vCHP+Ab3/jGrHdgveaaaxCJRLBp0yY8//zzOPfcc9Hb24tMJoOdO3fi97//PTRNm+6lft1112Hr1q244YYbsHr1aoRCIWzfvh0PPfQQTjvtNJx//vlFx7v88svx+9//Hl//+texc+dOnHDCCdi5cyc2b96MRYsW4ROf+MSczzcRERFRPbFQL8P111+Pxx57DM899xweeeQRTE1NoaWlBQMDA7j88suxatWqo/bP9QV/4IEHsG3bNvT39+MrX/kKduzYUZVCPRAI4D//8z/xve99Dz/72c9gWRZOPPFEfPe738XmzfApp4cAACAASURBVJuPKtQBYOnSpVi/fj3uvPNOPPzww/jlL3+J9vZ2LF26FKeeeur0fmeccQbWr1+P9evX48EHH0Q0GkVrayt6e3tx6aWX5u0a80aKouDLX/4yPvCBD+Dee+/FAw88gLGxMbjdbvT19WHNmjVHtVGcP38+7r77bvzoRz/Cgw8+iFgshp6eHlxxxRW46qqrivZQB4CWlhbceeedWLduHR5//HH86le/QjAYxCWXXIJPfepTJXegISIiImoW4o3LJoo5+eST5YYNG2oYh4iIiIjorW358uXbpJTFlyeAa9SJiIiIiJoSC3UiIiIioibEQp2IiIiIqAmxUCciIiIiakIs1ImIiIiImhALdSIiIiKiJsRCnYiIiIioCbFQJyIiIiJqQizUiYiIiIiaEAt1IiIiIqImxEKdiIiIiKgJsVAnIiIiImpCLNSJiIiIiJoQC3UiIiIioibEQp2IiIiIqAmxUCciIiIiakIs1ImIiIiImhALdSIiIiKiJsRCnYiIiIioCbFQJyIiIiJqQizUiYiIiIiaEAt1IiIiIqImxEKdiIiIiKgJsVAnIiIiImpCLNSJiIiIiJqQq9EBypVMTGF/+GUcGnoF+/b8BVOTo7CsDFTVhZbWIPqOXYZ5vcdjYehEeH0tdc01tG8nDg7twt7Bv2BqcgyWnYGquNDS2olF/cswv3cAvX0n1DlXHOF9O3EgvAt7B1/C5GQUtpWBorrQ2tqBRf0nY0FoAKG+E+D1+euWK5GII7z3FewP78ae3U6u3PPY2tqBYxefjIWhxQgtOh6+OubKZdu3ZxeGhnZj8LUdTraMBdWlorW1A/1LTkJv72L0HTtQ12yJRBx79+xCODyI3btexuTk+BHnrB2LB05EKNSPRfXOZRjYk8312q6dmJyIImNZcKkqWts6sGTgBIRC/Tj22AH4dL3OuV7Dvn1OromJcViWBVVV0dbWjiUDJ6Cvrx/HHrukrrkMw8Cewdewb98evLrrFSdXJgPV5UJbWzuOGzgefX3H4tj+JdDrnGtwcDf27d2DV191cuWex7a2dhx33PHoW3Ts/9/eeUdHdeV5/vtTVUltbAWwZ7pBqqSIhBDB2CaDAREM2BgTBLYBE+wJPdM9c7ZnZ7bPmcPMzs7ubO/2TM+2p8dgbJJBJEfcthDJZLBNEFGxgiSE2zYoIRqpSnf/qFdYjeuVXoUXbP0+57yjF+5771O/+1T1q1v33QenM1NTr55uHo8H1dVVaG7+pi7T0gJudrtdc7eOjg7U1UleVdXf9srNgd1uR2amHl4uuN0eVIXwys3NgcNhR2amU3Ov2loXPJ6gVwt8Pj/MZhPS0lKRK8UrK0sfL7fb28PLB7PZfM/L4bBp7tXTzeX2orIy4BZ8309LS0VeXg6cOrh1dHSgptYFt8uLysoa3Orh1T8tFXl52XA4bcjWw6smGK8a3LrVw6t/wMvpsCE7W/u6jBYSQiguXFBQILZs2aKijjxNjdU4c+xtVF89BZPJDF/XXXR3+79VLiHBBLMlCX6/Dzn5o/H4+PkYmJ6jmtf1hhqcPvYuqq6chslkQVcYL4slCX5/F3ILnsAT4+dhUEa2ql4njnyAyitnYDKZ0dXVGcYrEX6/D3kFj2PsxLmqejXW1+L4kQ9x9fKnMJnN6OoM45WYCL/Ph/whj2HcxNlIt2ap5gUADfV1OPrJb3Hl0ueK3QoKH8WESU8hw5qpmld9vQtHDn2Ey5fOwmw2o7PzLrq7u0N4JSAxMQk+nw9DCkdi4pOzYLU61fPyunD40Me4dPGcYq/CoSMw+cmZsNrU8/J63Th8qAwXK5R7DS0agclPzoDN5lDV6+CBfaioOK/Yq6hoOKZMna6ql8fjxsED5bhQcQFmkwmdnZ1hvBLh8/sxrGgYpkwtht2unlfAzYP9+8tRUXEBJgVufr8fRUXDMG1aMex2u6pe5eXlqLhQodxrWBGKi9X1crs9KC/fjwsReA0bVoTi4mlwONT2OoDz55V7DR9ehOLiqap77dt3EOfPX4DZbMbdu/JeSUmJ8Pl8GD58GKZPn6KqV9CtrOwgzkXgNmL4MMyYoa6by+1FWdkBnDtXodxrRBFmzJgKp8OmnpfLi4+j8Jo5YyqcTvW8wjFq1KjPhRCjeitn+ES9teUr7N31CzQ1VsPv64IQ3w68HEQJMJktGJiegzkLf4aU1Efi6vXezn9FU0MNfFF4mc0WDMzIxjOL/irOXl/j7dJf4XpDbdRegzKyML/kJ0hJfThuXi3NX2N36a/RWB/0Un7dERHMZgvSrVlYUPJjpKbFzyvotmPbb9BQXxe1W4Y1E4uX/mlc3Zqbb6L0rddQ743ey2rLRMnzryAtbUBcvbZtWQev1xW1l83mxNIXX46719bN6+Gtd8PXFYWXxQKb1YkXlq2Oq9etWzexZfMGeL1udEXhZbFYYLM58OKyVejfP55et7Bp4wZ4vZ7ovex2LF++Cv3794+bV9Bt48Y34PFE72a327Fixcq4ut26dQtvvvFmzF4vrXwp7l4bNmyM2WvVqhWqeLnd3qi9HA47Vq1aHlevmzdvYcOGTTF62bBq1XIMGBDfa//mzVtY/3psbk6HDatXx9ft5s1bWL9+M1yxeDltWLN6Wdy91q3fDJcrNq+X18TXSwnf+URdCIGLZ8uxf+9r8Pu7QrZsKiUhwQSTyYJpc17B0JHFIKKYvCo+P4Cyvevh9/li9zJbMGPOahQ9OjVmr/OfHcJHH2yIk5cZs+auwvBRT8bsdfbTw/jw/Y1x85r99AqMfGxyTF5Bt88/PYIP3t0MXxzczGYz5s5bhkcfmxhzzD49cxTvv7M1bl5PP/sCHnt8QsxeZ04fxbtvb4ub17z5S/H4E7F7nT59DO/s2R43r2efW4Innhgfs9epU8exZ/d2+Hz+uHg9t6AEo0ePi93r5Ans2lUqxUv5l/lveyXAbDZj4cISjB4zNi7/kydPnsDOnTvi5rZo0WKMidFNCIETJ05g546d8fNavAhjx8bD6yRKS+PnVVKyCGPHjonZ6/jxkygt3RVHr4UYNy4eXqewffsu+P0++P3Re5lMPb1Gx+XaPya5+XzxcVuyZCHGx+gmhMCxY6ewbfvuuHktXbIA48fH7nX02Cls2xZHr6ULMCFGr0hQmqib1q5dq/igr7766tr58+fH4qUIIQQO/HYdTh7ega6uuxF9Q5I7Xne3D57a8+i43QJnzqNRVYQQAuUfbsDxQ7vi5+X3wVVzAR23W5CZMyJqr7K9b+LowT1x9PKjrqYCHbdbkJU7PGqvj97fjE8OvhNXr9rqS+hob0V23rCo/6GEENj73lYcOvAeujrj4+b3+1FTfRm321uRm1cUdczef/ctHNz/Pro6O+PmVV19Ge3trcgbPDRqr/fe2YYD5XvRGU+vqisxe737Tin271PDqw2DBxdG7fX2nh3Yt+/DuHpVVV5Fe1sb8vOHRO21Z/dOlJX9Nq5elUGvgui8gsfavXsXPv74o7i6Xbt2De3t7SgoKIg6Zrt27cLHH30cd6+29raYvHbu3I3f/ja+XlevXkNbWzuGDInVqyzOXpVob2+LyWvHjj348MP4ewXilR/TtV+6Yw/27o2v25UrlWhrb0dhlG5CCGwv3YO9e/fF36utDYWF0Xtt266OV2tbG4ZG6RUp69ata1q7du263soZLlEPJukVn5Whq+tuXI/d3e3HV1+40XG7FZm5j0bsVf7hBpz/tFwVry9veNBxuxVZuSMj9irb+ybOnjmgitfvbnjRcbsV2XkjIvb66P3N+OzMQVW8vrhRj47brcjJGx7x/sEk/dPTh+Pv5vfjRlMDOm63InfwsIi93n/3LZw5fQRdnZ3x97rRiNu325A3uChir/fe2YbTp46iM85efr8fN5oa0X67DYPzh0bs9e47pTh18ogqXk1NDWhvb0N+FF5v79mBkyfViVdTUyNut7cjv6AwYq89u3fixIljqnhdv94oJcRDIt4/mKQfP66u25AhkbkFk/Tjx46r49V4PWqvnTt345hKXo0xeh09ekJVr8LCgoi9duzYYzivoFvpjj04ckQdt4aG62hrb8fQKGK2vXQPjhw5qZJXE9rb2jF0aORe27bvwVGVvBobmgLxitArGr6zifrFs+X3WtLVIJisP5jcHz8cpPzmxIrPD9xrSVfL68sbHjyU3B8/GqT8xsTznx2615KultfvbnjxUHJ/DExXfgPg2U8P32tJV8vri6Z6PJSchkEReAHA558eCbSkq+h240YDkpPTMCjdoXi/T88cvdeSroqX34+mpnokJ6chPUP5zUZnTh+915KuBn7py01ycioyIvA6ffrYvZZ0tbyamhqQnBKZ16lTx++1pKvldf16wMtqVX4T1KmTJ+61pKvn1YiUCL0A4OTJE/da0tV1S4nI7cSJE/da0tXyamwMeNlskXidvNeSrp7XdaSmpsBmsyre7/jxk/da0tX0CsQrEq9T91rS1fJqaIg8XgBw7Pipey3parvZI3A7duzUvRZr1b3syr2OGtQrGpQm6oYaR7215Svs3/uaaglUkK6uu9j/4Wtoa/1KsVfZ3tc18Srb+zpaW75W6PU1PvpggyZeH3/whmKvluav8eH7GzXx+u37m9DaclPxPi3NX+ODdzejq1Nlt867+ODdzWhR6NbcfBPvv7NVtST9G69OvP/OVrQ0K/d69+1tqr0pBuns7MS7b29DS/MtxV7v7Nmuidc7e7ajWaHXrVs3sWd3qSZee/aURuB1C7t2aeO1e/cOxV5AwG3nzh2auO3atTOimO3csVMbr5270HyrWbFXaak2Xjt27MKtiLx2aeS1W7HXzZvaeZWWKvcCAm7bt2vjtn17ZDHbtn23Jl7btu+JzGubRl7blHupjaES9b27fgG/v0uTc/l9Xfhg5y8UlX1v57/C79PO672dv1RU9u3SX8Hv86lsFMDn68Lbpb9SVHZ36a819dq1/f8pLr9j22/g08zNhx1v/YeisqVvvaap1/a3XlNUdtuWdZp6vbVFmdfWzes19dq6eb2isls2b9DOq8uHzZteV1R200btvLq6urBx4wbF5TdufENTtzfffENR2TffeFNTrzfeUOa1YcNGTb02bHhTUVntvTYqKrthwyYN3yu68PrrGxWXX/+6tm7r129UVHb9+s2aeq1bv0lR2XUae722TpmX2hgmUW9qqEJTY3VMIyNEQne3H02N1WhqrA5b7npDNZoaarT1aqjB9YaasOUa62twvaFWU6/rDbW9ejXU16KxXluvRumcvVHvrUVDfZ2mbg31dWior+vFqw71Xm296r11qK93hS3n9dbB63Vp6uX1ulDv7cXL44K33q2tV70LXq87bDmPJ1BG23i5FXi54fV6Yhp5IzKvbng9Hng84b0AwO12w+PR1s3j8cDj8bBXBF5ud29eHrjdXk29AucM7+VyBbxiGREkEvz+brjd3l69AH3cXArcXC4PXFp7ubxwub1hy9W5PHC5dPByhffSAsMk6meOv6NZq3UQv68Lnx57O2yZ00ffg09jL5+vC6ePvRe2zMmjH+jidfLoB2HLnDiyVxev40c/7LXcsSMf6eJ27JOPwpY5cvhjXbyOHg7v9cmhMl28Dh8uC1vm0KEy+Lo09urqwuFDvXgdLEeXxl5dXV04eLA8bJkDB3TyOrC/13IHDuzXxe3AgfAx279fH6/95eFjVl5+QB+v/QfCltm3Tx+v8vLwXnrFq7z8YK/lynSKWdm+8G5lZQd18dpXZkyv3uKlBYZI1H9/px3VV09F9HCeeCBEN6qvnsLv77TLelVdPa2LV9WVcF63UXnljC5e1y6fwe/v3A65/c6d27h6+bOYh0qK3Evg6qVPcUfGCwi4Xbn0uS5uly99Jut2585tXL50VhevSxfPynt1dODSxXP6eFWcxZ2OjjBe53XxulhxTtaro6MDFRX6eFVcOIeOsF4X9PGqOC/rBejrduHChfAxu1BhSK8LOnmdP29Ur4qwXufP6+N17py8F2Bct46ODpzTyevsufDX2LlzOnmdlffSCkMk6o3112AymXU5t8lkxvX6ayG3NXgrYTJZNDYKYDJZ0FhfFXJbvbdSv3iZLWjwynh5qmAy6+VlRoNXvhuT112jm5vZbIbXE7rLkMddA7OeXu7QXYbcOnt5PHJetbp6ueW8XDp7uUN3r3K56mA2mTQ2CmAymeF2yXf7crnqYNLNzQSXK3QXq7o6o3q5dPMym02oqwvtVVtrXC/9/idNqKtzy27X261Wxq1GVy8zamvdIbfV1BjTSysMkajfaKhSfYQQObq67sr2U29qqEFn1+81NgrQ1XUX1xtCe12vr0GnXvHqvItGmX7qjfV1qo+mIkdXZ2fYvuANDfq5dXZ2okGmP3h9vQudunndle2nrruXTD91r1dvL3fIbV6vW1cvuX7qXo9b9RES5OjsvAuPV74/rMfj0dGtU7YPve5eMn2I3W79vO7e7ZTtP69nvO7e7YRbpm+z2+3F3bt6eslf+y693Vwy15hLXy+5fup6x0vvfuqGSNS97ksQGt2AdT/d3X54XRdDbvO4LkFodHPM/QS8Lofc5nFd0dXLU3cl5DZ33RXNbia6n+5uP9y1oeMFAK7aq7q6uWpDx6yu5pqOXt2orb0aclttTaWuXjU1oX/l0t2rujLktuqaKmN6VevrVV0V+tc3wABu1aHdqquqdfWqkolZle5eoRuO9PcyZrwqK+V/4a2sNKZbZWUNe91Hd3c3roWpSy0wRKLe3qpsfG61uN0Wekzp9lbl43OrQZvM+VtblY9RrAaG9WqTP7/ebq2tocdjlVuvFW0tMl4txoxXi4yvVrQY1Uvm/Eb1AoDmZn3dmptbZNbrHTNjesmdXy6OWiFfj8b06m2bFjTLXGO39PaSOf+tW8b00gpDJOp+vzbjYsqeX2ZkC3+3zl4yY8p36x0vmfPrXY/hxlf1+/T5xeab8xs0ZjLn9/mNGi+Demk0tq8cPpnrW/d6DHN9616Xsu9j+nrJvY/p7yVzjen83irvpffnpHxcdH/fl4mZ/l4G/ZzU+VoyRKKu142R985vDn3DqClBZy+ZG1kT9I6XzPn1rsdwN5uYzPrc7PTN+Q0aM5nz63UDYhD5eBnUS6cbnYKYZa5v3esxzPWte13Kvo/p6yX3Pqa/l8w1pvN7q7yX3p+T8nHR/X1fJmb6exn0c1Lna8kQifpDKQ/rev4HkweEXP9QSuj1WpEsc/6UlP4am/whhvVKlj+/3m4pKWkRrdeK5FQZr1RjxitVxlcrUo3qJXN+o3oBQFqavm5paaky6/WOmTG95M4vF0etkK9HY3r1tk0L0mSusf56e8mcv39/Y3pphSESdZujEAkJ+nwrT0gwweYcGnKb3am315CQ2+zOAl297JkFIbc5MvX1cmSFjhcAOLPydXVzZoWOWWb2YCQk6PNvmJCQgKys/JDbsrLzdPXKzh4ccpvuXjl5IbflZOca0ytHX6+c3FzZ7bq75YR2y8nN0dUrVyZmubp75YTcpr+XMeOVlxc6XgCQl2dMt7y8bPa6j4SEBAwOU5eaOOh6dokfZeTCbEnS5dwWSxIGpoeuhIEZ2bDo6DUoI7TXIGs2LJZEjY0CWBKTkJ6RHXJbujUTlkS9vBKRYc2U3Z6RoZ9bYmIiMqzOkNusVicSE/W5xhITk2A1qpcttJfNpreXI+Q2m82hq5dNzsvuQKJu130S7Da77Ha73a6jWyLsdkfIbbp7OULHzOHQzyspKRF2e2gvPeOVlJQIh8MWcpvDYUNSkp5e8te+U283p8w15tTXyylTl3rHy+kM7aUVhkjU062DdbtZwO/3YZA1dOtdhi1P9oZOtfH7u5BuDd1SYLXl6RcvXxcybDJe9lzdbqrz+3zIsMl/67U5snVz8/l8sNlDf7mxO7J1u1HF5/PB5sgKuc2hs5fdLueVpauXQ87LqbOXI/SXVKczU7cbSv1+HxxO+S/PTmembjdI+v1+OJ2hvwxmZhrVy6mbl8/nR2ZmaK+sLON66fc/6UdmpkN2u95uWTJu2bp6+ZCV5Qi5LTvbmF5aYYhE/QcPPISc/NEg0laHKAE5+aPxgwcekvXKzX9CF6/cgnBeDyKv4HFdvAYPeRw/eODBkNsfeOBB5A8ZBSLS2IuQX/gYHpDxAgJuBYWP6uI2pHCUrNsDDzyIIYUjdfEqHDpS3qtfPxQOHaGPV9FIPNCvXxiv4bp4DS0aIevVr18/FBXp41U0bAT6hfUapo9X0XBZL0Bft2HDhoWP2bAiQ3oN08lr+HCjehWF9Ro+XB+vESPkvQDjuvXr1w8jdPIaOSL8NTZihE5eI+W9tMIQiToAPD5+vuzoK2phMlvw+Pj5Ycs8MWEezBp7mc0WjJ7wTNgyYyfO1cVrzISnw5YZN3GOLl7jJs7ptdyESU/p4jZh8lNhy0x8cpYuXhMnzwpbZvKTM3XxmvzkzLBlnpwyE2aLxl4WC56cMiNsmSlTp8OisZfFYsGUKdPDlpk6tVgXr6nTinstN22aPm7TenErLtbJq3ha2DLFxdN08SruxWv69Km6eE2fblSvqb2WmzlDH7cZvbjNmKmT14wpYcvoFa+ZvXhpgWES9YHpORiYnqPZDX8JCSYMTM/Bj2T6pwcZlJGNgRnZ2nplZGNgeuiuEj29BmVkaeo1KCMLgzJC//QfJN2ahXSrtl7p1iykZ8j/xB4kw5qJDGumpm4Z1kykZ4T+aTaI1eqE1aatl9WWKdtv/p6XzQmbzampl83mhNXqCFvOZnPAZtXYy6rQy+bQOF4O2ML0AwcAu90Bm92u2c1YCQkJsNntvXoBgf7Ndo3d7Arc9PKS6wcexOHQyyt8H12Hww6HQ1uvQCyUeNlgMmnjZTIlwOGw9eoFBNycGrs5HTbZPv1BnA4bnE6NvZwKvJzG9NICwyTqADBn4c9kxw6PNyazBXMX/UxR2WcW/ZVmrf0mswXPLPprRWXnl/xEs/GbzWYL5pf8RFHZBSU/1tRr4ZK/UFx+8dI/1WxMVLPZjMXP/5misiXPv6Kp15LnX1FUdumLL2vq9fyLyrxeWLZaU68Xlq1RVPbFZau087KYsWz5akVlly/XzstisWDFilWKy69YsVJTt5deWqmo7EsrX9LUa+VKZV6rVq3Q1GvVqpcUlV21arnGXisUldXSy2y2YPXqFYrLr16trduaNSsUlV2zepmmXi+vWa6o7MtrtPV65WVlXmpjqEQ9JfURTJvziuojrVgsSZg2+xUkpzyi2GvGnNWaeM2YsxopqcrGlU9JfRiz5q7SxGvm3JWKvVLTHsbsp1do4vXU08uRkqp8vPvUtIcxd94yWFQeocOSmIS585YhVaFbWtoAPP3sC6qPTGNJTMTTz76A1DTlXvPmL1V9VIfExETMm78UqWnKxm9PSxuAZ59boonXs88tQZpCr/79B+C5BSWaeD33XEkEXv2xcKE2XgsWLFbsBQTcFi1arInbwoWLIorZosWLtPFatBBp/ZWNk96/f3+UlGjjtXjxQvSPyGuhRl4LFHsNGKCdV0mJci8g4LZkiTZuS5ZEFrOlSxZo4rV0yXOReS3VyGupci+1Ma1du1Zx4VdffXXt/Pnh+3THyh8PzETH7RZ89YUb3d3xv5PcYklC0aiZGDNpUUT7/XCgEx23W/DlDY9qXsMfm45xkxdEtN+PBjnQcbsFv7vhVc1r5OPTMOHJyOp94CAHOtpb8cWNetW8Rj0xBZOmzIt434GD7Ljd3oobTQ2quT0+ejImTw3fn/9+BqXb0N7eihs3GtGtwigKlsQkPDF6MqZMmxvRfulBr6ZGVUZ3SExMwhNjJmFace/3GXzbqw1NTQ0qeSVi9JiJKC6eHdF+GRlWtLe1oUm1eCVi7NiJmD49/L0Pcl7Xr6voNW4CZswIf++DrFt7u6pu48aNx8yZkblZrVa0tbfheuN11bzGjx+PmbPC35fxba8MtLW1o1FFrwkTxmFWFF7t7W2qez31VPj7RUJ5qR2viRPHRuwFADZrBtra29HQoK7b7AjdbLYMtLW1oaGhSTWvSRPHYvbs8PfYhPJqbWtDo0peSYmJmDRpLOZE6BUN69ata1q7du263soZLlEnIjhzHlUlWQ8m6VOfWhPx3cNEhMycEaok68EkvXj2yqi8snKHq5KsB5P0GXNWROWVnTdMlWQ9mKTPmrssqrvAiQi5eUWBZP1GQ1yTYktiIEmf/fQLUcUsb/BQKVmPt1cinhg9GXOfWRqbV5yT4sTERDwxZhKembckKq/BgwtVSdaDSfq8Z0ui8srPH6JKsh5M0p+dvyg6r4IhqiTrwST9uecWRv0/WVBQoEqyHkzSFyyI3C3opUayHkzSFyxcEJXXkCEFqiSfwWR4YQxeaiTrQa9Fi56L0itftXhNnDg2Kq+gW+GQfFWS9aBbyeLoYlZYmK9Ksh5M0ktK5kflNbQwH61qeU0aiyVReEXDdzZRB75J1h9KHgBP3QVACAghoj5eQoIJZksSps35E4yZFPkHXE+vzJwRSE7uD1dtRdy8Zsxdg3GTI39T7OmVlTscycn9UVd7MS5eFksSZj29ChOejP6CDSbryclpqKu5BCEQF6/Zz6zApCnzYvpHCibrKSlpqK2+HCe3RDw9bxkmT306ppjlDR6K5JQ01FRfiZvXM8++iCnT5sbBKxXVVVfj5jVv/vOYVjwnJq/Bgwvj7vXsc0tRXDw7Jq/8/CFISUlFVeW1+HglJuK5BUswffpTsXkVDEFqSiqqqq5BxPxekSB1KSnBjBmzYv6fLCgoQGpqKiorK+PmtmjRYsycGb1b0CslNSW+XosXYeasmTF5DRkSiNe1a/HzKilZhFlx8UrBtWtVcfRaiKeemhGjV74UryoAsXmZTAlSl5LYvIJuhUPykZqWiqtX4+e2dOlCzI4xZoWF+UhLTcHVq5Vx83p+SJIgMgAAEqxJREFU6QLMnj09Jq+hhflITYuz1/MLMCcGr0hRmqhTJC+uoKBAbNmyJSaxSGlt+Qp7d/0CTY3V8Pu6IES34n2JEmAyWzAwPQdzF/1McZ90pV7v7fxXNDXUwBeFl9lswcCMbDyz6K8V9/1W5vU13i79Fa431EbtNSgjC/NLfhJXr5bmr7G79NdorA96Kb/uiAhmswXp1iwsXPIXEfVJV+q2Y9tv0FBfF7VbhjUTi5//M8V90pXQ3HwTpW+9hnpv9F5WWyaWPP+K4j7pSr22bVkHr9cVtZfN5sTzL76iuE+6Uq+tm1+Ht94FX1cUXhYLbFYnXli2JqI+1r1x69ZNbNm8AV6vG11ReFksFthsDixbvjrOXrewadMGeD2e6L3sdqxYsSquXkG3jRvfgCcGN7vdjpdeWhn3mL35xpsxe61cuVJxn3SlXhs2bIzZa9Wql+LaLzfgtQlud/ReDocdq1atiKvXzZtBL28MXjasXh1fr6Db669vgisGN6fDhjVr4h+z9a9vhssVg5fThpfXLI+717r1sXu98nJ8vZQwatSoz4UQo3orZ/hEPUhTYzU+PfY2qq+egslkRlfX3ZDdKYKtrn6/Dzn5o/HY+PkY2MsQjLFwvaEGp4+9h6orp2AyWRR4dSG3YDSeGP8MBmWEH4IxVq+TRz/AtctnYDJb0NUZxisxCX5fFwYPeRxjJsxV1auxvhbHj36Iq5c+hclsRldnZxivRPh9PuQXPoZxE2Yj3Rp+aMhYaaivw7FPPsLlS5/BbDajM4xbYmIifD4fhhSOwvhJs5Bh7X14yGipr3fh6OGPcOniWcnrLrq7v/0FLNDylASfz4fCoSMxYfIsWHsZgjEmL68Lhw+X4VJFBF5FIzF58gxYbep5eb1uHD5UhosV5xR7DS0agclPzoDN5lDV6+DBclRcUO5VNGwEpkwpVtXL43Hj4IH9qKg4D5Opdy+/34eiouGYMnUa7Hb1vAJuHhw4UI4LFy7AZDJJ/5Nybonw+/0YNmwYpk4t7nWow1i99pfvj9hrWvE0Vb3cbg/27z+A8+cvwGw24e5dea+kpET4fH4MHz4M06ZNRbhH3sfDq7z8AM6fr4jAqwjFxVp4HcS5c8q9RowoQnHxFFW9gm5l+yJ3mzFdXTeX24t9ZQdx9twFmM1mBV4+jBwxDNNnTIFTxaEOXS4vyvYdxNmzEXiNHIYZ06fA6dRnCMbvXaIe5Pd32nG9/hqaGqvhdV3E7bab8Pu6YDJb8GDyANicQzEwPQeDrINln+yplldjfRWuN1TD67qMttab8Pu7YDJZkJwyADbnEAzKyEG6NVdjr9to8FahsaEGnrorkpcPJpMZySkDYM8sQHpGNjJsubJPHFWDO3duo8FbjYb6OrhrL6Ot7RZ8Ph/MZjOSk/vDkTUkMO65LSfsE0fVcvN6atBQ74Kr9gpaW5vh9/lgMpuRkpIGZ1YBMqxO2OzZmrrduXMbXnct6utdqK29iraWZvj8PphNZiSnpiErKx9WqxM2R5a2Xh0d8HhqUe91oabm2rfilZ09GFabE3Z7luyTPdXycntqUe91o6a6Ei09vFJT0pCdkwerzQGHxl4dHR1wu+vgDXq1NMPn88NsNiE1NeBlszngcGRq+kS8jo4OuF118Hg9qK6qQktL8733itTUNOTk5sJus8Ph1NYr6OZyueDxuFFdXYXm5pZ7bmlpqcjJyYXd7oDT6dQ8Zi6XCx63B1VVVWhpabn3Ppaamorc3FzYHXZdvOrqXPB4PKiqqkZz8zfXWFpaGnJzc2C325GZqY+X2+1FVVWgHr/xCsTL4bDp5OWG2+1BZWW1dH35YTIFvPLycuBw2JGZ6dDl2q+tc8PtktxaesQsVXJz2pGlsVtHRwdqa91wub33Yha89oMxczpsyMrSycvlxbUQXoPzcuB0au8Viu9tos4wDMMwDMMw32WUJuqGGkedYRiGYRiGYZgAnKgzDMMwDMMwjAHhRJ1hGIZhGIZhDAgn6gzDMAzDMAxjQDhRZxiGYRiGYRgDwok6wzAMwzAMwxgQTtQZhmEYhmEYxoBwos4wDMMwDMMwBoQTdYZhGIZhGIYxIJyoMwzDMAzDMIwB4USdYRiGYRiGYQwIJ+oMwzAMwzAMY0A4UWcYhmEYhmEYA8KJOsMwDMMwDMMYEE7UGYZhGIZhGMaAcKLOMAzDMAzDMAaEE3WGYRiGYRiGMSCcqDMMwzAMwzCMAeFEnWEYhmEYhmEMCCfqDMMwDMMwDGNAOFFnGIZhGIZhGAPCiTrDMAzDMAzDGBBO1BmGYRiGYRjGgHCizjAMwzAMwzAGhBN1hmEYhmEYhjEgnKgzDMMwDMMwjAEhIYTywkRfAvCop2NoHgHwld4SjG5w/fdduO77Llz3fReu+76NFvVvF0L8UW+FIkrU+zJE9JkQYpTeHow+cP33Xbju+y5c930Xrvu+jZHqn7u+MAzDMAzDMIwB4USdYRiGYRiGYQwIJ+rKWae3AKMrXP99F677vgvXfd+F675vY5j65z7qDMMwDMMwDGNAuEWdYRiGYRiGYQwIJ+oMwzAMwzAMY0D6dKJORD8gojNEdIGILhPRP0jrnUR0mohqiGgHESVK65Ok5Rppu6PHsf5OWl9JRDP0eUVMpBCRiYjOEdFeaZnrvg9ARG4iukhE54noM2ndACIqJ6Jq6W9/aT0R0b9LdVxBRCN7HGe5VL6aiJbr9XoY5RBRGhHtJqJrRHSViMZw3fcNiChP+p8PTq1E9FOu/74BEf2VlOtdIqLtUg5o/M98IUSfnQAQgIekeQuA0wBGA9gJoERa/58A/lSa/zMA/ynNlwDYIc0XALgAIAmAE0AtAJPer48nRdfAXwPYBmCvtMx13wcmAG4Aj9y37n8D+Ftp/m8B/Is0/xSAj6T3i9EATkvrBwCok/72l+b76/3aeOq17jcBWC3NJwJI47rvexMAE4AbAOxc/9//CUA6ABeAB6TlnQBWfBc+8/t0i7oI0C4tWqRJAJgCYLe0fhOAedL8M9IypO1TiYik9aVCiLtCCBeAGgCPa/ASmBggogwAswG8Li0TuO77Mj3r+P663yy9X5wCkEZEAwHMAFAuhLgphLgFoBzATK2lGeUQUSqAiQA2AIAQolMI0Qyu+77IVAC1QggPuP77CmYADxCRGUA/AE34Dnzm9+lEHbjX9eE8gN8h8M9WC6BZCOGTijQg8E0M0t96AJC2twB4uOf6EPswxuXfAPwNgG5p+WFw3fcVBIB9RPQ5Eb0srfuhEKJJmr8B4IfSvFwdc91/93AC+BLAm1KXt9eJ6EFw3fdFSgBsl+a5/r/nCCEaAfwfAF4EEvQWAJ/jO/CZ3+cTdSGEXwgxHEAGAt+KBuusxGgAEc0B8DshxOd6uzC6MF4IMRLALAB/TkQTe24Ugd84eeza7x9mACMB/EYIMQLAbQS6OtyD6/77j9QP+WkAu+7fxvX//US67+AZBL6sDwLwIL4jv4L0+UQ9iPTz5yEAYxD4ecssbcoA0CjNNwKwAoC0PRXA1z3Xh9iHMSbjADxNRG4ApQj8/PUrcN33CaTWFQghfgfgHQS+pH8h/awN6e/vpOJydcx1/92jAUCDEOK0tLwbgcSd675vMQvAWSHEF9Iy1//3n2kAXEKIL4UQXQDeRiAPMPxnfp9O1Inoj4goTZp/AEAxgKsIJOwLpGLLAbwnzb8vLUPaflD69v0+gBLpLmEngBwAZ7R5FUw0CCH+TgiRIYRwIPAT6EEhxPPguv/eQ0QPElFycB7AdACX8Id1fH/dL5NGgBgNoEX6mbwMwHQi6i+11kyX1jEGRQhxA0A9EeVJq6YCuAKu+77GEnzT7QXg+u8LeAGMJqJ+Ul/z4P++8T/z1bxT1egTgCIA5wBUIPBB/ffS+kwp8DUI/DSWJK3/gbRcI23P7HGsnyPQv70SwCy9XxtPEV0Hk/HNqC9c99/zSarjC9J0GcDPpfUPAzgAoBrAfgADpPUE4FWpji8CGNXjWCula6IGwEt6vzaeFNX/cACfSe/77yIwagfXfR+ZEOjy8DWA1B7ruP77wATgHwBck/K9LQiM3GL4z3ySTsowDMMwDMMwjIHo011fGIZhGIZhGMaocKLOMAzDMAzDMAaEE3WGYRiGYRiGMSCcqDMMwzAMwzCMAeFEnWEYhmEYhmEMCCfqDMMYBiL6ORFdJqIKIjpPRE9I639KRP0U7H+YiEZJ824ieiQGl41E5JI8zhPRCWl9EhHtl9YtJqIJkvN56XkMkZxjHhEV9Fj+RyKaFq2zdIxXJZcrRHSnh/+C3vfWByIaSUSqPSWQiI4RUSURPSUtbyWiedL8I0R0gYiWEVGeFKtmtVwYhmEiwdx7EYZhGPUhojEA5gAYKYS4KyXZidLmnwLYCqBDxfObhBD++1b/TAix+751IwBACDFc2u8/AfxPIcTWKE47D8BeBB68ASHE30dxjD9ACPHnkpcDgecDDI/1mPGAiMxCCJ/M5pEACgF8HMHxCAAJIboV7rJYCHH+vmOkIfCgml8LITZL60YB+EqpB8MwjJpwizrDMEZhIICvhBB3AUAI8ZUQ4joR/SWAQQAOEdEhACCi6UR0kojOEtEuInoo3IGJ6F0i+lxq+X65x/p2Ivq/RHQBwJjeBInojxH4wvCY1PL6CoBFAP47Eb0llfkZEX0q/SrwDz32XSatu0BEW4hoLICnAfxCOlaW1Iq/gIhmEtGuHvtOJqK90bz2+/xziKhMisURIsqV1m+VWuJPE1EtEU0kok1EdI2INkhlzETUTET/LsWxnIgeVnDc3xDRGQD/TESjJfdzRHRc2u8BAH8P4Plgyz8R/RMR/bSH9zUiyiCibOmXgrcQeFjVQCKa1SMeOyjwtFklpCCQpG8UQqxXGkOGYRhN0ftJUTzxxBNPQggAeAjAeQBVAP4DwKQe29wAHpHmHwFwBMCD0vJ/xTdPFT4M6emB9+0TfNLgAwg8le5haVkAWCTjsxGAS3I6D+Ataf1kSE+y7VFugTQ/HcA6BJ5omIBAa/lEAEOk13W/z719ey4j8Gunt8dr/A2AF8K99hD+DgCX7lt3CECWND8OwD5pfiuArdL8cwBaABRIr+E8Aq3dZilei6Vy/wjg3xQc910ACdJyKgCzND8TwA5pfnXwWNLyPwH4aY/lawAyAGQD6O5Rx38M4BMA/aTlnwP4byFicQzA8B7LWwHcBPDPIcqaATTr/f/AE0888SSE4K4vDMMYAyFEOxE9CmACgCcB7CCivxVCbLyv6GgEksjjgd4PSARwspfD/yURPSvNWwHkIPAYcT+APWH2C9X1JRzTpemctPyQdK5hAHYJIb4CACHEzXAHEUL4iOhjAHOJaDeA2QD+BsAkRP7aAdzr5jEawB5pX+APuz9+IP29COC6EOKKtN8VBJL+awB8CDxWGwgku9sUHHeX+KZ7ShqAzUSUpcRZhlohxGfS/FgE4nGiRzyOKTzOAQDPEtEvg/XCMAxjNDhRZxjGMIhAH/HDAA4T0UUAyxFoZe4JASgXQixRckwimgxgGoAxQogOIjoM4AfS5t+Lb/dLjwVCoL/6a/c5/EUUxyoF8GMEWn4/E0K0Sf2yFb/2EG5fCfk+63elv9095oPLcp8VQsFxb/eY/x8AyoQQ/0FE2ZDvk+7DH3bN/EGP+Z7HIwAfCyFelDlOON5C4EvUh0Q0RQhxu7cdGIZhtIb7qDMMYwikETdyeqwaDsAjzbcBSJbmTwEYJyV6IKIHg32iZUgFcEtK0gcj0PqrFmUAVgb7jRNRutSv/SCAhT36dA+Qyvd8XffzCQI3Wa5BIGkHIn/t9xBC3ALQFPxlgYgSiGhYhK/PDGC+NL8UwLEIj5sKoFGaX9Fj/f1xcAN4VDre4wj8ChKKEwAmEVGmVPbB+66hsAghfoFAC/weIrIo3Y9hGEYrOFFnGMYoPARgk3SzYAUCXRrWStvWAfiYiA4JIb5EIMnbLpU7CWBwmON+DMBMRFcB/C8Ekl2lBG/0DE6J4QoLIfYB2AbgpPSLwG4AyUKIywi0Jn9CgRtXfyntUgrgZ9LNlVn3HcuPQB/3WdJfRPHa76cEwJ9IDpcRGGUnEloATCCiywDGI9CXPJLj/gsCMT2LQGt4kIMAhklxWIBA95ofEtElAC8DqAt1MCHEFwBWIdBN6gICibuiLy49+C8AvgSwkXr03WEYhjECJITQ24FhGIYxOERkRqCLS5reLpFCRMcA/FjcNzyjTNnv7OtkGOb7B7eoMwzDMN93vgawlaQHHslBRHkAPgPwhSZWDMMwvcAt6gzDMAzDMAxjQLhFnWEYhmEYhmEMCCfqDMMwDMMwDGNAOFFnGIZhGIZhGAPCiTrDMAzDMAzDGBBO1BmGYRiGYRjGgPx/1MJyw540/xMAAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig,ax=plt.subplots(figsize=(13,4))\n", + "for s in range(len(stemps)):\n", + " plt.scatter(stemps[s],1.0,marker='o',color=np.array(rgbs[s])/np.mean(rgbs[s])*albs[s],s=1000)\n", + " plt.scatter(stemps[s],1.25,marker='o',color=np.array(srgbs[s])/np.amax(srgbs[s]),s=1000)\n", + " #plt.annotate(\"%d K\"%stemps[s],(stemps[s]-100,1.35))\n", + " #print stemps[s]\n", + " #plt.axvline(stemps[s])\n", + "ax.set_facecolor('0.8')\n", + "plt.annotate(\"Stellar Color\",(3000,1.35),color='k',fontsize=18)\n", + "plt.annotate(\"Surface Color\",(3000,1.1),color='k',fontsize=18)\n", + "plt.ylim(0.9,1.4)\n", + "plt.xlim(2500,8200)\n", + "plt.tick_params(\n", + " axis='y', # changes apply to the x-axis\n", + " which='both', # both major and minor ticks are affected\n", + " left=False, # ticks along the bottom edge are off\n", + " right=False, # ticks along the top edge are off\n", + " labelleft=False)\n", + "plt.xlabel(\"Stellar Effective Temperature [K]\")\n", + "plt.title(\"Ground Color\")\n", + "plt.savefig(\"colorgrid.png\",bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [], + "source": [ + "alb1 = np.zeros(100)\n", + "alb2 = np.zeros(100)\n", + "albb = np.zeros(100)\n", + "teffs = np.linspace(2700,6000,num=100)" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [], + "source": [ + "for n in range(100):\n", + " bbf = bbtemp(teffs[n],wvref)\n", + " refl = netspec*0.01*bbf\n", + " alb1[n] = np.trapz(refl[:42],x=wvref[:42])/np.trapz(bbf[:42],x=wvref[:42])\n", + " alb2[n] = np.trapz(refl[42:145],x=wvref[42:145])/np.trapz(bbf[42:145],x=wvref[42:145])\n", + " albb[n] = np.trapz(refl[:145],x=wvref[:145])/np.trapz(bbf[:145],x=wvref[:145])" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(teffs,alb1,label=\"$\\lambda<{0.75}$ $\\mu$m\")\n", + "plt.plot(teffs,alb2,label=\"$\\lambda>{0.75}$ $\\mu$m\")\n", + "plt.plot(teffs,albb,label='Bolometric albedo')\n", + "plt.legend(loc='best')\n", + "plt.xlabel(\"Star T$_{eff}$ [K]\")\n", + "plt.ylabel(\"Albedo\")\n", + "plt.title(\"Ground albedo with different stars\")\n", + "plt.savefig(\"ground_bolometric.png\",bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "5500.0 0.20952110594388035\n" + ] + } + ], + "source": [ + "print teffs[-16],albb[-7]" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [], + "source": [ + "specvar = \"groundblend\"\n", + "specinttext = \" real :: %s(%d) = (/\"%(specvar,len(wvref))\n", + "specinttext += \",\".join([\"%.4f\" % number for number in netspec[0:8]]) + \", &\\n\"\n", + "n=8\n", + "while n+8" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(wlalb,sbdartw)\n", + "plt.xscale('log')" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "manifest = {}\n", + "with open(\"manifest.txt\",\"r\") as mn:\n", + " lines = mn.read().split('\\n')\n", + " for l in lines:\n", + " lfile = l.split()\n", + " if len(lfile)>0:\n", + " manifest[lfile[0]] = lfile[1]" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0 andesitefine\n", + "1 andesitesolid\n", + "2 basaltsolid\n", + "3 brownsand\n", + "4 clearice\n", + "5 coarsesnow\n", + "6 dunesand\n", + "7 finesnow\n", + "8 frost\n", + "9 mediumsnow\n", + "10 seawater\n", + "11 tapwater\n", + "12 yellowloam\n", + "13 yellowsand\n" + ] + } + ], + "source": [ + "names = sorted(manifest.keys())\n", + "ix = 0\n", + "for n in names:\n", + " print ix,n\n", + " ix+=1" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "ids = [10,11]" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "seawater\n", + "tapwater\n" + ] + } + ], + "source": [ + "for i in ids:\n", + " print names[i]" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "weights = np.array([0.0,1.0])" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1.0 [0. 1.]\n" + ] + } + ], + "source": [ + "print np.sum(weights),weights" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "wvref = np.loadtxt(\"wvref.txt\")" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(965,)\n" + ] + } + ], + "source": [ + "print wvref.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "specs = np.zeros((len(ids),wvref.shape[0]))\n" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "for idn in range(len(ids)):\n", + " filename = manifest[names[ids[idn]]]\n", + " with open(filename,\"r\") as fileobj:\n", + " text = fileobj.read().split('\\n')\n", + " for k in range(len(text)):\n", + " if text[k].split()[0]==\"Additional\":\n", + " nhead = k+2\n", + " break\n", + " spec = np.loadtxt(filename,skiprows=nhead,ndmin=2).transpose()\n", + " if spec[0,0] > spec[0,-1]:\n", + " spec = np.flip(spec,axis=1)\n", + " specs[idn,:] = np.interp(wvref,spec[0,:],spec[1,:])" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "for idn in range(len(ids)):\n", + " plt.plot(wvref,specs[idn,:],label=names[ids[idn]])\n", + "plt.xscale('log')\n", + "plt.legend()" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "wtspec = np.copy(specs)\n", + "for n in range(len(ids)):\n", + " wtspec[n,:] *= weights[n]" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [], + "source": [ + "sbdart_winterp = np.interp(wvref,wlalb,sbdartw)*100" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": {}, + "outputs": [], + "source": [ + "netspec = np.maximum(np.sum(wtspec,axis=0),sbdart_winterp)*2.1" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(wvref,netspec)\n", + "plt.xscale('log')" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(wvref,np.sum(wtspec,axis=0),label=\"ECOSTRESS Tapwater\")\n", + "plt.plot(wlalb,sbdartw*100,label=\"SBDART Seawater\")\n", + "plt.plot(wvref,netspec,label=\"New Spectrum\")\n", + "plt.xscale('log')\n", + "plt.xlabel(\"Wavelength [$\\mu$m]\")\n", + "plt.ylabel(\"Reflectance [%]\")\n", + "plt.legend()\n", + "plt.title(\"Water Reflectance Models\")\n", + "plt.savefig(\"ocean_refl_components.pdf\",bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(0.34, 14.01)" + ] + }, + "execution_count": 51, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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Q+JCfE/SIEvC/x/134ENrbX9gGBA9V1F2LZcrtHtWR7olSonSItn6myoBWbqstFhrlsSDBqx846g3cBtjWgPjgXkA1toSa+3hoF/RbduXyPbInsi2QylHiSdwB5Iq6TNZtps/dr89KroU7pOVb0KcKukF5AIvGGO+McY851k8uApjzHXGmExjTGZYFxHd5gTuveF7TaXq4qRKkv0cVQLQrje0OAlyMkPTJhU98p0FFEIbuJOAEcDT1trhQBFwV/WDrLVzrbUZ1tqMtLS0oBsUkJIiyFkpt7XHraJFaRA9bmOgS4b371k1XgXhCdzZQLa1dpnn/kIkkEfezq+hohQ6DpIet17YUdGg7Lhsk+pZRKG6LiMgbysUH3S/TSp6OIE7lKkSa+1eYJcxpp9n1xQgtANOi/L8O277Elkle+D5UHZMitcrFWllx2SbnBrY8/pMku2m991tj4ou+Tly4Tq1TdCn8HdUyU3AfGPMd0A68FDQr1ifzR/Do31hz3f1H7ttiXy8bN9H7mueW0WDUk/gTgowcJ88Qmp479YRUo1agWcBhSAn34Cfgdtau9qTvx5qrb3AWnso6Fesz+YP5Irr6lfqPq6kCHZ/Az3PhJadZZ/muVU0cHrcSU0Ce54xkNZPKgWqxqsgp0FpEojGmZPffyHbtQuhvEymD3/xJ1i/qGrZy5xVEuC7jYKWnWSf9rhVNKgM3AHmuAE69peaJRXl7rZJRY8GLFnmiK7AnZ8NB7Ogx5lQlAtZn8Kql+CzP8DrV8IzZ8LetXJs9nLZds2QYVQAhRq4VRQItscNcMpZcPQg7FjqbptUdCgvkzjVqAL3tsWy/cHvpWrWsqfhk99JIJ/5nCz189kf5JhdK6B9X2jWDpq0gCatqva4czfBZw/pSBMVfpWjSgLMcQP0nggYDdyNVeFesBUNmjUJ0Ra4v/9C1t/rnA6DZkqPu6QIzv0LDL0Ehl0OWz+R0SPZy6HbSO9zW3aqmuP++F744mFdhFWFX+lRGe2UmBT4c5u2gZMGw04N3I1SA+twO6IncFsrPe5e4yEhAdIvl/1jfykXbAAGXQjlJbD0CSjOg66ne5/f4iRvjzt3E2zxTB3eu6b218z6TCuyKfeVHQ+ut+3oMUZq8JSXutcmFR3ynZVvGkuqJG+rpEJ6TZD7XTPgp5/BpN94j+maAa27wdLH5X6VHndnb+D++ilIbAImsfbAXXwQXp0F79zk/vei4lvZsQYG7jOk4NSuZfUfq2JL5azJhqVKgvgs54dD22HhtYE9x/lP1Gu8d1+XahM0jYFBF0jgbtLKu3IIeFIle6HoAHz7GgybJb2W2gL3qpfkDZa9HHI3Q9qp3se+elJW3b7gycC+B4CyEvjwLjh6CDKu8X4/hfuheZp37ObG9+G9W+HGFZKjV41HQwN33x9Ak9bwzT9luKtqPPJzpNxvausGnSY0gbu0WMZYB2rAeVJspy6DLpTA3eU0SEj07m/ZGcqPS267vATG/EJyjTv+78RzlJfBinnQaagMvVo9H856QB777CHJjQNMujvwXNTeNZA5T27bCgnc+9bBM+PgkhdklifA+rflE8aBTfK9qMaj7FhwI0ocKc1h4HmwbhGcexSSgxhWqKJTQXaDJ99AqAJ3x4HwyxBVOTt5BJw6DQZeUHV/S8+QwG9fhRFXSV680xBY87pMoW/e3nvs5g8gfxdM+1/4Zr700CffJ/u/eBh6jpPp9Du/hiEX196Wo4elRGP7vpKXBzkvyHTWwn1ye/UrMuZ8/SIJ3NbC9i/lsbzvNXA3NqXHGh5sB18sPe5NH8Dgme60S0VeA1e+cYQmcIeSMXB5DavdOLMnk5vDpHvkdqchst23xjPMymPzRzLc8NTpYBIkYL91nUyh7zQUrlgIj/TxBu6sz2DJn+HwTug+GmbOhX/fDCtfkPM1bQe9xsHI670pn64ZkJclvfvvXpd9Wz+R+/k7vbmuvK1w/Ag0aenmT0lFUkN73CCf1Jqnwcb3NHA3Jvk50rFtoOi5ONlQbXoABs682TuT0gnc1fPcu1dLLzcxCfr9ECbdC2vflIkP5z8pxYG6ni6Be/Ej8P8ugEM7ZMz4d69LQF71MvQ7B2Y8IZ8Avv8c/nOf9LhTWkKHfpJz3/Y5FO2HYZfJMMYtH8lrgVxA/f5z+FMf2PDv8PycVOg1dFQJSBqwz2QZEuuMC1exraxEPoU3cCggNKbA3boL3PA1jLvNu695B2h5ctWCVaVHZTXtk4fLfWNgwu0w50O47DXoPFT2dx8D+9bCF49A/3PlIuI5fwasTAqy5XDGjTDix3Dh0zD0UhmGeHiX/GJadpJFY52FHqb+DhJT4LXL4dPfy+iY7qNh19eSm9/wbuh/Rio8yo42PHCDpEuOHtRqgY3FkT2AbfCIEojFVEldOvY/cV/nYZLn3rUMpv9JJvjYcpnk46v76BruW0mlTH9YeuGdh8vzN7wjvWrfceRp/aGkUF7n5OHeXv/Or2WMectOMPtNyNsCLTrJWN3//h62eWqzfP+Z5L59L1ocPyJT/BOS5J9BK086aNX/g+8WwJWLql6gVdHBjR43SI+7aTu5kD7owoafT0WWCwsoOBpPj7s20x+GqQ9IQPzP/d7RLk6PuzZdM+QC44Q7vB9tEhK8awP2ngCJyd7jnaGJxQfkeKd+yu5V0LaX3O41DjLmQP8fSo69/Smyv8VJ8hFqf7Uy52/9DF6YBvOmwtNneCdkfLdALp5u1F56VCo7Fngt7pokJknqb/sSGZmkYpuzZJmmSvzQtof88Z/5axl6t/IFaN6x/o8rKc3h1k1w5i1V958yVbZOAHd0HOC97aRKQIYmtutV82s4z5lyv2yzPvU+dnCbXJga/mOZhHT0oFRELCuBbM+Ina+eqvt7UJFR2sBx3L6G/1hSbK9eVrU6poo9Be7MmgQ/A7cxZrsxZo0xZrUxJjZXMx10oZTZdPLb/oyjTE498bgB58k/gerDBJu1k38IIPlrJ3BD7WPTe0+En/wX0q+Qi5m+gXvFc5IGmXQPnP4TwEg6Zc+3kkPtMVby49m6RmHUcWNUiaNZOxh8ERzeUfXvQ8We/ByZeOPChLtAetyTrLXp1tqMBr9qJKS2klmXUH+apC4pzWHqb2ue+eTUVGndVWZ2OvWY29bS4zZGUjLGSA9+x1LprR0vlDz2wPPlk0GzdnByuoxAcSYUzfDMHv3qieC/FxUaZceCq8Vdm/Mek+GuXzys1S5jWcFuaNXwNAnEQ6rE12lXy7bHmNCc30l9tO4qwdiZFFTfbFCQ9QbLjkneeuljcDwfRv3M+3jvSZC9Arb8R3Lj7fvAaVfJDMyD37v/vajgudnjBkhKgQl3SnkGva4RuwqyXRlRAv4Hbgt8bIxZaYy5zpVXjoTuo+GWdVUn47hpwHmSA3dyWM6koNpy3L56jIWEZHjjWulZdT+j6qiV3hOhogx2fClDFQHG3CjP+fKvbn4XqiHKy+T35FaO2zFsloxGWjBbPpGp2OPSrEnwP3Cfaa0dAUwHfmGMGV/9AGPMdcaYTGNMZm5uriuNCwkXrujWqtd4mP2Gtw5zi5OkWFDTtvU/t0kLuOg5mPawDPOb/UbV/Hr30d6P3z3OkG3LTjDiSlj9qnfGZn1Kivz/flTggl3hvT7JTeGHf5LbH97l7rlV6JUdl1W9wpkqsdbmeLb7gbeAkTUcM9ezoHBGWlqaK42LeWNuhHMe9b+gzKALYPTPpHed0qzqY0lNvAG7u0+qZ+yvAAuvXQEL50gqpTaHdsgszTULA/gmVEAasvpNfQbMgI6DpIbJnm/dP78KHWcBhXClSowxzY0xLZ3bwA+Ata68emPX7XQY+iP3znf6tTDkEmjb07uvTTcYf7tM/tnyCbx7i3xcr8nq+TIiZfUr7rVJVVW53mQIArcxcM37Mgnsw7v1QmUscakOt8OfHvdJwJfGmG+B5cB71toPXXl1FZj+50g6pXoPfuJdcNNKuPAZqZWy/u0Tn1tRISkVjIxOKcqr+7UqyiV3XnzQrdbHh1AGbpClzSbeJaOLPv9jaF7DbWUlULCn/uMas8oed5hy3Nba7621wzxfg6y1f3DllZX7Tp0mJWaXPnZib2z7YqlKOPaXMuV/Yz1FrXZ/IzVZNK0SmIas8O6v4bOhWQdY8qgsmh3t3r0F/tJfSjjEqwj0uFWsSEiQwld7voV/XgT/vBjmXwKvXArv/lrGnk+8G9r18VYorI0z/f7A5tC3uzEpdS5OhnDxg+Sm8MtVcvH737+M/rUpV/9Tth/9pu7jGjMXJ9+ABu7GZ+gsWbfzyF6pm1KUK1XJUprBhLvkTT94ptS/KPSM/qkpV7rPCdybwtf2xiAcPW6QIDD9T/IP9vUrozvfPcyz8Peql2RJv3hUsNu1NAk0tuqASoahXfVO3ccMmil1xjcsklmkL18gU+991910ety52uMOSKhz3L4GnCvlF778CyyfC6OuD/1rBiMpxXt73duyFmu8KchxLU0C2uOOTx0HSG2UtW/JBcjjBbBnddVj9q8HDBTulQUglH/CGbhBCpB1Ggof3OFdaSnaOOkjkIVy45EGbtVgxki6ZMf/SQVCkCJGjsJcSbE4K4wf2BL+NsaqcAfuxCSY85EMEX3vNtj63/C8biBKi2VJQZBFQ+KNy5NvQAN3/Bp0IZULRaS0lPU0HU6axFmRPrcBee4j++QrXjgTcNyeOVmXlGaySEdpEfzrmugbwll2TIYxOrfjzRHPUEjtcasGS+snMzCHz5bbTuDetgS2fCy3+/1QaqE05ALlgivgzZ9KDfG/DYm+oOK20qOyDVeP29G+j/S8j+dL7W6naH80KD0qi5JAfK6fWbmAgnsXJzVwx7M5H8K5f4M23WWtzP0b4aVzpVRssw7SQ2jfJ/hUSeF+qWi4fwNsWyz/HPK2uvs9RJvKKe8hHlVSk64ZcMEzsjj2XwfKTNpoUHo0vnvcLk++AQ3cyhgJ3Pm7JMgC/OB/4JIX5LGOAyFnZe2rr5QehR1f1dyT3uoJHEX7vbU1Cve7/z1EkzKnxx3Ccdx1Sb8MfupZcGH+RfD9F5Fph2PDvyEn01toLR573C5PvgEN3AokcJeXSIokpQWM/oVUOgRJlxTuk0WQq9v8Mfw9XdbF/FMvmPcD+Ga+d0KIb8Gr7z+TbVFjD9wR7HE7OvaHqz0rw788QwqQRWrW4sI5sk1MhsQm8Ru4m7SGJi1dO6UGbgVtesh26yfQaYjMwHT0myZvuPWLqj7HWvjgdpkJdvHzMOleGTa46AZ4bqoUusr6VIaqgXdIYWGu9M4ryiEvS6bU52UF1t7SKP64XXZMfl7+VoQMlZ5j4YZlshjHxnfh8dNg1cvhn6hTXiJbayXvH5eBe7ervW3QwK1AKgyCDNvqPKzqY01ayuIQ6xfJrLeKctm/+xs4tB3G3ixrIk64HW74GibeI2PCczLh2GHP6BUfBTnw2HBY+ji8eZ0sHPHyBTW3q/QYLPqF5MazPoXP/hf2fAd/7AY7v3b1R+CaUpdWeHdDx/4w/WEZcWItvHMTPHNmZFaMtxXyKSQuc9zujuEGnTmpQBY3dlQP3CB1wje9Bw/3lIuWQy6RoWcJyTJ7z2GMpFg+fwg2f+Q531CpqVHoGRKY7Qno374mo1WSmkrxq9KjJ9b32LtGak83bSuBHuBglvTicjfK4hLRpszFFd7dcsoUuOErKQW75nV42lPXvfdE+cd8vFDWNO2cLj9T34Wu3WIr4rfHnZ8jn2RdpIFbyTjg5mkySaCmwD3wAultl5dI4F0+VyoMnjrtxNV92p8iWydwtz9F1tws3CfHVk6l3yDbYbNg5QvSq3YWW3Y4k4K2+qxunrtRttE6rLDsePQFboDmHeCiZ+Hsh+DDO2HtG/K7LPEsg+ZcgwCpg3L2Q5B+hXspH1shU9/jrcddViLXdVwcUQKaKlGONt0l4HTod+JjSSlSB+OMm+BHL8FP/iOFrM646cRjm3eQCzH710FiivTm2/WRx7qNQpYvdc7bFIZcLLcPbffuL8qTC5uHtsn9/T4f7Z2hicW11BNf/iws+4c/33FolB2NzsDtaJEm1yR+lw/35MC9uXDbVrhjG/T3fHo6li8pqoVz4FhBA1/P03vDHYFgAAAWF0lEQVTPuFZ+Lk7OO16EYPINaI9bOXpNkOCd6MefRJfTai9kZYyM/d69SqZhJyTKELUWad7JKSktZMZml9Ogg6ew1ddPyay/pm28w6da+HxkT0yRXosTzGurMrfqZendRargUtnxyI4oCVRSivxuAGbNl+2rl0tqbN2b8olpcgPKsbbuAicNgr5TJYUWbz3uyqGAEepxG2MSjTHfGGPedbUFKjpM/S1c8qI753LSJU5Pu+eZMPV3ko4BWfX+0n/CtD/KvuRmsipPYpIcO+42Oa5wr/ecbbpLrtxRW4/7yF75ipSacvWx5jKfpe0W/wlyVgV/rvIS+acL8ZnjDsHkGwgsVfIrYIOrr64apw59Zdu+T9X9lYG7N/SeIKMejPGuodn3BzBzLky5D7qeXvW5bXtKGsZRU467vEzy9MUHIre4QKz1uGvjmwZ7dhKseC6485SXeT/FJSZLHfiyOEqXhGDyDfgZuI0xXYFzgCB/eyquOAG7euBu0VG27XpX3e+MI+890bvPCdytu8u2euA+WkPgLtpPZQ49UjM0o3FUSTB+8D9wv086avGfgztPRamMPgL5VAWwpNq5ig5E90IQDZGfA01aQWorV0/rb4/7b8AdQC3znpXy0fV0yU93H1N1vxO42/aqut/pcfea4N3X5TTPvnGybdPD22OHmlMlR3wWpC2MULqksQRuqDoR68huWP1K7cfWxjdV4vD93R3aAY/0gf/7e3BtjHYhGMMNfgRuY8y5wH5r7cp6jrvOGJNpjMnMzc11rYEqBrXpDrdtkgUbfHVOl8L/TrlYR8Y1sgxXG5/x5L0nyuo8I38Kp06XNEoz3x73Ye9kIIdv+Vgnz139mFBrTIEbqo4/fvvngadMfFMljhXPylBEkBo54K1I2diEYNYk+NfjHgvMMMZsB14DJhtj/ln9IGvtXGtthrU2Iy0trfrDSskIkwl3eCvFOdL6nTgKpHkHuO5zCd6Xvyb5cCdVkpQKWAnevnx73Ef2wuJH4Q+d4d83h++iWNnx6Jk56YYrq40eeu9WGa7pL99Uia/V86vet1ZmnZaXBd7GaFaQ4/qFSfAjcFtr77bWdrXW9gRmAZ9aa2e73hKl6uOkStp7Ln5Wz3Mf2QsY+frvA/Dp72Xm5soX4Lkp4fk4Xhrl47gD1azdibP+Xpju/wXGmlIlUMPzLfzhJHjlEqlds3dNUM2NKmUlcq0lEoFbqajh5MidUSsr5kndkzevh08egOzlnuBuZRLJqdNhzsdwzl9k0eP/3A+7loe2jY1lVImvkqKq9w9s8pYArsue7+T34JS69VV9CTMnpZX1KTw+QmqqxLrCvYANSaokoAk41trPgc9db4VS/kjrDz98VC5crn8blj0tFzqzPpULXrYcJt8rq62UFMKon8sFttOvhaE/gidHwSs/gvOflHK1blfws9YzczLGx3FXN/M5+QSzzae2d23j6H0te0a2zmgSX84MSieF1RgX2HDGcLu48o1DZ06q2GGMXKwEuDETdiyVyoQpzeTj9aHtUlCpJk1awlX/hgU/htcul9z5Ve9KWVq3OMGosfW4u3pmyq5ZKNUcwb9JTi07y/bU6bLt90PY5KkT7gz/cwJ3TcM7/zZEaudcesIltdiQny1bTZUo5dG+D4z4sQRt535tQdv3Odd/Ib323d/AR/e4O3443Cu8h5uTogKpxV49hVKdk9qacIdsz3vM+9iGd2QSVV1T4A/vlBV08rJCn+IKhcpZk5EZVaJU45GYLL32M2+BVS/Jx/n6ApC/nAUeGtOoEl/Jzaref6iegFThGSGS6BlVUv3n8tb1VUcC1ebxETDvLBnREs2LaFRXsBtSWkq1RZdp4FbxafL98hH+w7vgiZHujPdu7D3ummqwlNZw4dHhBO6EpKpbx7bF8qnHXyueg9UxlDYpyA5Jbxs0cKt4lZAgdVGSm8kb7Mu/NPycThCL9SJTtanpomtdpQWcf4a1Be5gKgV+eLcE8FgoVpUfmlmToIFbxbPUVnDPbrnA+en/QOYLDTtfqSflkty84W2LRs3ayRqWvpw8bk2qB26T2PA2lJdIymTuRKlxEs0ObZNKmCGggVvFN2PggmekTsq7N8OmD4M/V2PvcRsja1j6ysms/XgnVWI8YSbBhXDTpjsMny0rKT02Qlaw3/SBdzHqaFF8UGrGt+tT/7FB0MCtVFIKXPQcNGsPr15adTWeQFQG7mZ1H9eYHN5V+2MVZdLLbsh4+Z9/BRc8Lbc7nAo3r4EZT8DMZ+UT08Z34dVZ8Of+sG998K/jtrws2VavkOkSDdxKgQxdO/8pub3gx8GNNCktlm1j7XE7TjnLe9upN11d8UH47vUT89qBOmkgpF8uNVOu8XwaMkYmVP3qW/j5UhjyI/nZPzdFLnhGg4OewK09bqVCrN80mVW59zv46qnAn1/iCdwpjbzHPeNx7+3NH9ZcV+RfV0P+zhOnttdnxFWyHXk93LrJu7/3BGjevuqxCYmyLNpFz8K1/5FyB6/Mgk9+F/6qkNXlZUmKyClZ7DIN3Er5Gj4b+kyWkQuBrqJT2eNu5IG7aVvv7YqymuuKHN4Z3LmHz4ahs2DS3dCyU/3HO7qNlNmdHfrCl38Nrna4mw5meRbgrqHAlgs0cCtV3aifS4Gg9YsCe15jvzjpSE6VVeKHXeb+udv1gZn/qPrPwV9te0op4C4Z8N8HYe/ayK2sk5cVsjQJaOBW6kSnTJXl1f7v74H1uuPt4mRD89eOS17y3k6soXZ3IIyRZdeK9sMzY+Hrpxt2vmBYK4E7RBcmQQO3UidKSICJd0uue+N7/j+vtEgWDWho8Ik3vX2WrHOjQFePMXD569ID/+juhq1SH4yiXCg5oj1upcJu0Exo3hGWP+v/c0qPxk9vG4Kb+ViTRJ9gXdNqOcE49Wy48B9y+4Xp4Z2sE+KhgODfmpOpxpjlxphvjTHrjDEPhKw1SkWLxCQ482bY8aX/44NLixt/fttXT5+LkieMLAkgt+y7Qo4bk3Qc3UfDxc/LP5h3bzlxqbtQORgFgRs4Dky21g4D0oFpxpjRIWuRUtFi8EWyzfqvf8eXHo2vwD3iKjjdUx+9+sgSW+H/eRJcmApfm8EXwbhbpYzsu7eE7nV85WVJ/r9195C9hD9rTlprbaHnbrLnK0KXapUKo5adJE+6a5l/x5cUQ0ojrVNSE2OgddeaHwskQhgjaalQmXI/TLoX1r3ZsJIG/jqYJX831Ve3d5Ffn0uMMYnGmNXAfuA/1lo//5KVinGdhmiqpC6+JWx9V2gPpMcNcFMm3BbC5cvG/kqWvvvkt6EfIhjioYDgZ+C21pZba9OBrsBIY8zg6scYY64zxmQaYzJzc3PdbqdSkXHSYDj4vUzhrk+8pUqg6gSTlS/Alv/I7UADd2praJHmXruqS0qB0TdA7kbIWRm617FW/l5CmN+GAEeVWGsPA58B02p4bK61NsNam5GWFsJfgFLh1PcswMJWP/LcpcXxNaqkuvdvg/kXy+1AA3c4DLpQaop/+dfQ9bqP7JG/g3a9Q3N+D39GlaQZY9p4bjcFzgI2hrRVSkWLDqfK9kgddacd8Ri4fdMjvqIxcKe2gow5UlHw3ZtD8xqVQwFPCc35PfzJnncGXjLGJCKB/nVr7bshbZVS0SKlhQxXK86r/9h4G8cNdayv6UePdsbjkooKpyn3SdnelS/BmBurLoDshjAMBQT/RpV8Z60dbq0daq0dbK19MKQtUiqaGAPNOkCRP4E7Di9O9jsHetRQZMqfHveIK6HLCPfbVJfkpnDe32WG5uf/637KJC9LJhS1qmW0jUt05qRS9WneHor9mHkXjxcnm7eHC548cX9tgTtjTmjb448WabIE29o33K8imJcly5W5OZGoBqEbaKhUY9Gsff2pkooKmaEXT+O4HU1aVb1fUlR74D73r5L/3bs29O2qy9TfyZJnq16G4Ve4d96DoR8KCNrjVqp+zTrUX+siXla/qUlqm6r3X7+y7hT3mF/AhRGo2ufLWUVn19dwYIs756yogIPbQp7fBg3cStWveYf6e9zxVtLVV0KCtzwAwNZP4HiULd5bk/TL5eLzZw+5c76CbFnxRwO3UlGgogyOF9S9sEI897hBFgWuyfAfh7cdgWh1Moy6Hta9Bfs3NPx8eaFdZ9KXBm6l6tNznGxfvxJ2r675mHhZ/aZWNeRGUtvA+U+EvymBGHOjXJf4xIWipwc2y9btIYY10MCtVH0GXSAfqQEW1jIqotSzKnxyHF6chJqH1V3xr/C3I1DN2sH422DzB7Dlk4ada/dqaHFSYGtlBkkDt1L+6D5Gtgez4PWrTnxce9wn7grRCueuG32DjHR5/1bv7zEYe76FzsPca1cdNHAr5Y+L53lvr3/7xMfj+eIkVF0Moa590SipCUz/k8yoXPtmcOcoPSoFrDRwKxVFUltDr/He+9VTA/F+cXLML07c58b6keHSZzJ06AeZ8+o/tib71oEth87p7rarFhq4lfJXs/be206gdpR47qfEaY+70xDoNqrqvljpcYOM686YIyVfa7sAXZc9nudoj1upKJPa2nv76KGqj1X2uOM0cAN0Glr1fiiXJAuFYbPk9xdMr3v3amjarvYVgVymgVspf/lO7T4hcMf7xUngB7+PdAsapmkbmUi0ZmHgq8Lv+RZOTpeeexho4FbKX6n+BO447nEnN5XKeLHsjF9KzZkv/+r/c8qOywSeMKVJQAO3Uv7zrclxQuAugoRkSEwOb5uijdPjvPr9yLYjWGmnwrDLYfmzMsrEH/vWQkWpBm6lolJ9qZJ47m1XF8spo0n3ABa+9rMQ1o6vZNttdMiaVJ0/S5d1M8Z8ZoxZb4xZZ4z5VTgaplTU8Z0RV9PFyVgOVq7x9Lhj+ZNH6y4w8Hyp1V1SVP/x27+UNSZbdQ592zz86XGXAbdaawcCo4FfGGMGhrZZSkUh3wVga+xxa+CulBDDgRsg41opLLZmYd3HVZTDzqXQY2x42uXhz9Jle6y1qzy3jwAbgC6hbphSUaeVz599WUnVx0qK43MRhdrEco8boPto6DhQct11LW+2dw0cy4eeNSzfFkIB5biNMT2B4cCyUDRGqaiWkAD3H5SFFcqPV33seIG3EJWChBhfXMsYmQ26bw1s/rD249YvkpK2p0wNX9sIIHAbY1oAbwA3W2sLanj8OmNMpjEmMzc31802KhU9EhJlKnf1Hndxniy4EO+cnnbTNnUfFwuGzoK2vWpfVNhaWbey98Sw/+79CtzGmGQkaM+31tZYhcVaO9dam2GtzUhLS3OzjUpFl8TkE3vcxXlSIjTeXbEQJt5TdZZprEpMgvG3y+SaTR+c+HjOKji8o+rqP2Hiz6gSA8wDNlhr/xL6JikV5RKbQLlPj9taT+BuX/tz4kX3UTDxzki3wj1DL5Ve938fPPGCdObzkNQU+p8T9mb50+MeC/wYmGyMWe35+mGI26VU9EpKqZoqKSmS5c2qL5qrYl9iEpz9B8jbInXYnZTJnu/gu9dgxJURSQvVewXBWvsllYMzlVLS4/ZJlZQUyraJXpxslPqfA9MfhvduhdeugF7j4NP/kYvUE++KSJNi/NKvUhGQmAJZn0LuZpki7UzS0FEljddpc6QeyYrnYNN7khab/UbErmto4FYqUE5+++UZcOtGb49bA3fjlZAA5/wZzvw15G2FtH5hWVuyNhq4lQpU7kbZOqU/jzuBWyfgNHqtu8hXhGmRKaUCVZnTbum5r6kSFV4auJUKljPZpOSIbLXHrcJEA7dSgRpwnmydXHfxQdnqOG4VJhq4lQrUj/4fnHGTd9Wbwv2A0cCtwkYDt1KBMkby2WXHoKICinIlaCfqtX4VHhq4lQpGUqpsy47Ckb0RHRqm4o8GbqWC4SxTVnoUDm2Dtj0j2hwVXzRwKxUMZ7WbkiJZVFYDtwojDdxKBcMJ3IX7JdfdMnzrDSqlgVupYDiBe91bstVFFFQYaeBWKhjOLMmvn5RtMw3cKnw0cCsVjOo1mFvoqk8qfDRwKxWM6ktznTQ4Mu1QccmfpcueN8bsN8asDUeDlIoJvoF79C9kEWGlwsSfHveLwLQQt0Op2NLEJ3C36Ra5dqi4VG/gttYuBg6GoS1KxY4En7eO0YyjCi/9i1MqWKf/xHNDl2RV4eVa4DbGXGeMyTTGZObm5rp1WqWil62QrdHArcLLtcBtrZ1rrc2w1makpenQKBUHTrsGEpLgVL0EpMJL61AqFazOQ+H+vEi3QsUhf4YDvgp8BfQzxmQbY64NfbOUUkrVpt4et7X2snA0RCmllH90VIlSSsUYDdxKKRVjNHArpVSM0cCtlFIxRgO3UkrFGA3cSikVYzRwK6VUjNHArZRSMUYDt1JKxRgN3EopFWM0cCulVIzRwK2UUjFGA7dSSsUYDdxKKRVjNHArpVSM8StwG2OmGWM2GWO2GmPuCnWjlFJK1c6fFXASgSeB6cBA4DJjzMBQN0wppVTN/OlxjwS2Wmu/t9aWAK8B54e2WUoppWrjz2LBXYBdPvezgVF1PeH73CIu/cdXDWmXUkqpWrh2cdIYc50xJtMYk1laWurWaZVSSlXjT487B+jmc7+rZ18V1tq5wFyAjIwMu+D6Ma40UCml4sHrP/P/WH963CuAvsaYXsaYFGAW8E5wTVNKKdVQ9fa4rbVlxpgbgY+AROB5a+26kLdMKaVUjfxJlWCtfR94P8RtUUop5QedOamUUjFGA7dSSsUYDdxKKRVjNHArpVSM0cCtlFIxxlhr3T+pMbnAjiCe2hrId7Epbpwv2HME+jx/j/f3uA7AgQBev7Fw+2/IDeFqU7S9f6LtvePvsZF67/Sw1qb5daS1Nmq+gLnRdr5gzxHo8/w9PoDjMiP9+4zEl9t/Q7HUpmh7/0Tbe8ffY2PhvRNtqZJ/R+H5gj1HoM/z93i3f0aNTTT+fMLVpmh7/0TbeyeYc0elkKRKVOQZYzKttRmRbodSsSYW3jvR1uNW7pkb6QYoFaOi/r2jPW6llIox2uNWSqkYo4FbKaVijAZupZSKMRq444Axprkx5iVjzLPGmCsi3R6lYokxprcxZp4xZmGk2+LQwB2jjDHPG2P2G2PWVts/zRizyRiz1Rhzl2f3TGChtfanwIywN1apKBPI+8da+7219trItLRmGrhj14vANN8dxphE4ElgOjAQuMwYMxBZJ3SX57DyMLZRqWj1Iv6/f6KOBu4YZa1dDBystnsksNXTQygBXgPOB7KR4A36O1cq0PdP1NE3cePSBW/PGiRgdwHeBC4yxjxNI5nyq1QI1Pj+Mca0N8Y8Aww3xtwdmaZV5deakyq2WWuLgGsi3Q6lYpG1Ng/4WaTb4Ut73I1LDtDN535Xzz6lVP1i5v2jgbtxWQH0Ncb0MsakALOAdyLcJqViRcy8fzRwxyhjzKvAV0A/Y0y2MeZaa20ZcCPwEbABeN1auy6S7VQqGsX6+0eLTCmlVIzRHrdSSsUYDdxKKRVjNHArpVSM0cCtlFIxRgO3UkrFGA3cSikVYzRwK6VUjNHArZRSMUYDt1JKxZj/DySTKomajYp6AAAAAElFTkSuQmCC\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "for n in range(len(ids)):\n", + " plt.plot(wvref,np.sum(wtspec[:n+1,:],axis=0)*2,label=names[ids[n]])\n", + "plt.xscale('log')\n", + "plt.legend()\n", + "plt.xlim(wvref.min(),wvref.max())" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": {}, + "outputs": [], + "source": [ + "import colormatch as cm" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1.0\n" + ] + } + ], + "source": [ + "print np.sum(weights)" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": {}, + "outputs": [], + "source": [ + "def bbtemp(teff,wvref):\n", + " sbk = 5.67e-8\n", + " const = 0.0143877735383\n", + " bbf = 1.0/wvref**5 * (1.0/(np.exp(const/(teff*wvref*1e-6))-1))\n", + " return bbf" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[2800. 3100. 3400. 3700. 4000. 4300. 4600. 4900. 5200. 5500. 5800. 6100.\n", + " 6400. 6700. 7000. 7300. 7600. 7900.]\n" + ] + } + ], + "source": [ + "rgbs = []\n", + "srgbs = []\n", + "albs = []\n", + "stemps = np.linspace(2800,7900,num=18)\n", + "print stemps\n", + "bbs = []\n", + "for s in range(0,len(stemps)):\n", + " bbf = bbtemp(stemps[s],wvref)\n", + " bbs.append(bbtemp(stemps[s]-650.0,wvref))\n", + " refl = netspec*0.01*bbf\n", + " albb = np.trapz(refl[:145],x=wvref[:145])/np.trapz(bbf[:145],x=wvref[:145])\n", + " albs.append(albb)\n", + " #srgbs.append(cm.specs2rgb(wvref*1e3,[bbf,]))\n", + " rgbs.append(cm.spec2rgb(wvref*1e3,refl,normalization=albb))\n", + "srgbs = cm.specs2rgb(wvref*1e3,np.array(bbs))" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig,ax=plt.subplots(figsize=(13,4))\n", + "for s in range(len(stemps)):\n", + " plt.scatter(stemps[s],1.0,marker='o',color=np.array(rgbs[s])/np.mean(rgbs[s])*albs[s]*3.25,s=1000)\n", + " plt.scatter(stemps[s],1.25,marker='o',color=np.array(srgbs[s])/np.amax(srgbs[s]),s=1000)\n", + " #plt.annotate(\"%d K\"%stemps[s],(stemps[s]-100,1.35))\n", + " #print stemps[s]\n", + " #plt.axvline(stemps[s])\n", + "ax.set_facecolor('0.8')\n", + "plt.annotate(\"Stellar Color\",(3000,1.35),color='k',fontsize=18)\n", + "plt.annotate(\"Surface Color\",(3000,1.1),color='k',fontsize=18)\n", + "plt.ylim(0.9,1.4)\n", + "plt.xlim(2500,8200)\n", + "plt.tick_params(\n", + " axis='y', # changes apply to the x-axis\n", + " which='both', # both major and minor ticks are affected\n", + " left=False, # ticks along the bottom edge are off\n", + " right=False, # ticks along the top edge are off\n", + " labelleft=False)\n", + "plt.xlabel(\"Stellar Effective Temperature [K]\")\n", + "plt.title(\"Ocean Color\")\n", + "plt.savefig(\"colorgrid_ocean.png\",bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": {}, + "outputs": [], + "source": [ + "alb1 = np.zeros(100)\n", + "alb2 = np.zeros(100)\n", + "albb = np.zeros(100)\n", + "teffs = np.linspace(2700,6000,num=100)" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "metadata": {}, + "outputs": [], + "source": [ + "for n in range(100):\n", + " bbf = bbtemp(teffs[n],wvref)\n", + " refl = netspec*0.01*bbf\n", + " alb1[n] = np.trapz(refl[:42],x=wvref[:42])/np.trapz(bbf[:42],x=wvref[:42])\n", + " alb2[n] = np.trapz(refl[42:145],x=wvref[42:145])/np.trapz(bbf[42:145],x=wvref[42:145])\n", + " albb[n] = np.trapz(refl[:145],x=wvref[:145])/np.trapz(bbf[:145],x=wvref[:145])" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(teffs,alb1,label=\"$\\lambda<{0.75}$ $\\mu$m\")\n", + "plt.plot(teffs,alb2,label=\"$\\lambda>{0.75}$ $\\mu$m\")\n", + "plt.plot(teffs,albb,label='Bolometric albedo')\n", + "plt.legend(loc='best')\n", + "plt.xlabel(\"Star T$_{eff}$ [K]\")\n", + "plt.ylabel(\"Albedo\")\n", + "plt.title(\"Ocean albedo with different stars\")\n", + "plt.savefig(\"ocean_bolometric.png\",bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "5500.0 0.06915802680817525\n" + ] + } + ], + "source": [ + "print teffs[-16],albb[-16]" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "metadata": {}, + "outputs": [], + "source": [ + "specvar = \"oceanblend\"\n", + "specinttext = \" real :: %s(%d) = (/\"%(specvar,len(wvref))\n", + "specinttext += \",\".join([\"%.4f\" % number for number in netspec[0:8]]) + \", &\\n\"\n", + "n=8\n", + "while n+8" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig,ax=plt.subplots(figsize=(13,4))\n", + "for s in range(len(stemps)):\n", + " plt.scatter(stemps[s],1.0,marker='o',color=np.array(rgbs[s])/np.mean(rgbs[s])*albs[s]*3.25,s=1000)\n", + " plt.scatter(stemps[s],1.25,marker='o',color=np.array(srgbs[s])/np.amax(srgbs[s]),s=1000)\n", + " #plt.annotate(\"%d K\"%stemps[s],(stemps[s]-100,1.35))\n", + " #print stemps[s]\n", + " #plt.axvline(stemps[s])\n", + "ax.set_facecolor('0.8')\n", + "plt.annotate(\"Stellar Color\",(3000,1.35),color='k',fontsize=18)\n", + "plt.annotate(\"Surface Color\",(3000,1.1),color='k',fontsize=18)\n", + "plt.ylim(0.9,1.4)\n", + "plt.xlim(2500,8200)\n", + "plt.tick_params(\n", + " axis='y', # changes apply to the x-axis\n", + " which='both', # both major and minor ticks are affected\n", + " left=False, # ticks along the bottom edge are off\n", + " right=False, # ticks along the top edge are off\n", + " labelleft=False)\n", + "plt.xlabel(\"Stellar Effective Temperature [K]\")\n", + "plt.title(\"Ocean Color\")\n", + "plt.savefig(\"colorgrid_ocean.png\",bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [], + "source": [ + "alb1 = np.zeros(100)\n", + "alb2 = np.zeros(100)\n", + "albb = np.zeros(100)\n", + "teffs = np.linspace(2700,6000,num=100)" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [], + "source": [ + "for n in range(100):\n", + " bbf = bbtemp(teffs[n],wvref)\n", + " refl = sbdart_winterp*bbf\n", + " alb1[n] = np.trapz(refl[:42],x=wvref[:42])/np.trapz(bbf[:42],x=wvref[:42])\n", + " alb2[n] = np.trapz(refl[42:145],x=wvref[42:145])/np.trapz(bbf[42:145],x=wvref[42:145])\n", + " albb[n] = np.trapz(refl[:145],x=wvref[:145])/np.trapz(bbf[:145],x=wvref[:145])" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5,1,'Ocean albedo with different stars')" + ] + }, + "execution_count": 45, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(teffs,alb1,label=\"$\\lambda<{0.75}$ $\\mu$m\")\n", + "plt.plot(teffs,alb2,label=\"$\\lambda>{0.75}$ $\\mu$m\")\n", + "plt.plot(teffs,albb,label='Bolometric albedo')\n", + "plt.legend(loc='best')\n", + "plt.xlabel(\"Star T$_{eff}$ [K]\")\n", + "plt.ylabel(\"Albedo\")\n", + "plt.title(\"Ocean albedo with different stars\")\n", + "#plt.savefig(\"ocean_bolometric.png\",bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 2", + "language": "python", + "name": "python2" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.12" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/plasim/src/specs/.ipynb_checkpoints/combinedspec-snow_ice-checkpoint.ipynb b/plasim/src/specs/.ipynb_checkpoints/combinedspec-snow_ice-checkpoint.ipynb new file mode 100644 index 0000000..fd48a63 --- /dev/null +++ b/plasim/src/specs/.ipynb_checkpoints/combinedspec-snow_ice-checkpoint.ipynb @@ -0,0 +1,664 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "%matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "manifest = {}\n", + "with open(\"manifest.txt\",\"r\") as mn:\n", + " lines = mn.read().split('\\n')\n", + " for l in lines:\n", + " lfile = l.split()\n", + " if len(lfile)>0:\n", + " manifest[lfile[0]] = lfile[1]" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0 andesitefine\n", + "1 andesitesolid\n", + "2 basaltsolid\n", + "3 brownsand\n", + "4 clearice\n", + "5 coarsesnow\n", + "6 dunesand\n", + "7 finesnow\n", + "8 frost\n", + "9 mediumsnow\n", + "10 seawater\n", + "11 tapwater\n", + "12 yellowloam\n", + "13 yellowsand\n" + ] + } + ], + "source": [ + "names = sorted(manifest.keys())\n", + "ix = 0\n", + "for n in names:\n", + " print ix,n\n", + " ix+=1" + ] + }, + { + "cell_type": "code", + "execution_count": 197, + "metadata": {}, + "outputs": [], + "source": [ + "ids = [4,5,7,8,9]" + ] + }, + { + "cell_type": "code", + "execution_count": 198, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "clearice\n", + "coarsesnow\n", + "finesnow\n", + "frost\n", + "mediumsnow\n" + ] + } + ], + "source": [ + "for i in ids:\n", + " print names[i]" + ] + }, + { + "cell_type": "code", + "execution_count": 339, + "metadata": {}, + "outputs": [], + "source": [ + "weights = np.array([0.26,0.185,0.185,0.185,0.185])" + ] + }, + { + "cell_type": "code", + "execution_count": 340, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1.0 [0.26 0.185 0.185 0.185 0.185]\n" + ] + } + ], + "source": [ + "print np.sum(weights),weights" + ] + }, + { + "cell_type": "code", + "execution_count": 341, + "metadata": {}, + "outputs": [], + "source": [ + "wvref = np.loadtxt(\"wvref.txt\")" + ] + }, + { + "cell_type": "code", + "execution_count": 342, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(965,)\n" + ] + } + ], + "source": [ + "print wvref.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 343, + "metadata": {}, + "outputs": [], + "source": [ + "specs = np.zeros((len(ids),wvref.shape[0]))\n" + ] + }, + { + "cell_type": "code", + "execution_count": 344, + "metadata": {}, + "outputs": [], + "source": [ + "for idn in range(len(ids)):\n", + " filename = manifest[names[ids[idn]]]\n", + " with open(filename,\"r\") as fileobj:\n", + " text = fileobj.read().split('\\n')\n", + " for k in range(len(text)):\n", + " if text[k].split()[0]==\"Additional\":\n", + " nhead = k+2\n", + " break\n", + " spec = np.loadtxt(filename,skiprows=nhead,ndmin=2).transpose()\n", + " if spec[0,0] > spec[0,-1]:\n", + " spec = np.flip(spec,axis=1)\n", + " specs[idn,:] = np.interp(wvref,spec[0,:],spec[1,:])" + ] + }, + { + "cell_type": "code", + "execution_count": 345, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 345, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "for idn in range(len(ids)):\n", + " plt.plot(wvref,specs[idn,:],label=names[ids[idn]])\n", + "plt.xscale('log')\n", + "plt.legend()" + ] + }, + { + "cell_type": "code", + "execution_count": 346, + "metadata": {}, + "outputs": [], + "source": [ + "wtspec = np.copy(specs)\n", + "for n in range(len(ids)):\n", + " wtspec[n,:] *= weights[n]" + ] + }, + { + "cell_type": "code", + "execution_count": 347, + "metadata": {}, + "outputs": [], + "source": [ + "netspec = np.sum(wtspec,axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 348, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(wvref,netspec)\n", + "plt.xscale('log')" + ] + }, + { + "cell_type": "code", + "execution_count": 349, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(0.34, 14.01)" + ] + }, + "execution_count": 349, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "for n in range(len(ids)):\n", + " plt.plot(wvref,np.sum(wtspec[:n+1,:],axis=0),label=names[ids[n]])\n", + "plt.xscale('log')\n", + "plt.legend()\n", + "plt.xlim(wvref.min(),wvref.max())" + ] + }, + { + "cell_type": "code", + "execution_count": 350, + "metadata": {}, + "outputs": [], + "source": [ + "import colormatch as cm" + ] + }, + { + "cell_type": "code", + "execution_count": 351, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1.0\n" + ] + } + ], + "source": [ + "print np.sum(weights)" + ] + }, + { + "cell_type": "code", + "execution_count": 352, + "metadata": {}, + "outputs": [], + "source": [ + "def bbtemp(teff,wvref):\n", + " sbk = 5.67e-8\n", + " const = 0.0143877735383\n", + " bbf = 1.0/wvref**5 * (1.0/(np.exp(const/(teff*wvref*1e-6))-1))\n", + " return bbf" + ] + }, + { + "cell_type": "code", + "execution_count": 353, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[2800. 3100. 3400. 3700. 4000. 4300. 4600. 4900. 5200. 5500. 5800. 6100.\n", + " 6400. 6700. 7000. 7300. 7600. 7900.]\n" + ] + } + ], + "source": [ + "rgbs = []\n", + "srgbs = []\n", + "albs = []\n", + "stemps = np.linspace(2800,7900,num=18)\n", + "print stemps\n", + "bbs = []\n", + "for s in range(0,len(stemps)):\n", + " bbf = bbtemp(stemps[s],wvref)\n", + " bbs.append(bbtemp(stemps[s]-650.0,wvref))\n", + " refl = netspec*0.01*bbf\n", + " albb = np.trapz(refl[:145],x=wvref[:145])/np.trapz(bbf[:145],x=wvref[:145])\n", + " albs.append(albb)\n", + " #srgbs.append(cm.specs2rgb(wvref*1e3,[bbf,]))\n", + " rgbs.append(cm.spec2rgb(wvref*1e3,refl,normalization=albb))\n", + "srgbs = cm.specs2rgb(wvref*1e3,np.array(bbs))" + ] + }, + { + "cell_type": "code", + "execution_count": 354, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig,ax=plt.subplots(figsize=(13,4))\n", + "for s in range(len(stemps)):\n", + " plt.scatter(stemps[s],1.0,marker='o',color=np.array(rgbs[s])/np.amax(rgbs[s])*albs[s],s=1000)\n", + " plt.scatter(stemps[s],1.25,marker='o',color=np.array(srgbs[s])/np.amax(srgbs[s]),s=1000)\n", + " #plt.annotate(\"%d K\"%stemps[s],(stemps[s]-100,1.35))\n", + " #print stemps[s]\n", + " #plt.axvline(stemps[s])\n", + "ax.set_facecolor('0.8')\n", + "plt.annotate(\"Stellar Color\",(3000,1.35),color='k',fontsize=18)\n", + "plt.annotate(\"Surface Color\",(3000,1.1),color='k',fontsize=18)\n", + "plt.ylim(0.9,1.4)\n", + "plt.xlim(2500,8200)\n", + "plt.tick_params(\n", + " axis='y', # changes apply to the x-axis\n", + " which='both', # both major and minor ticks are affected\n", + " left=False, # ticks along the bottom edge are off\n", + " right=False, # ticks along the top edge are off\n", + " labelleft=False)\n", + "plt.xlabel(\"Stellar Effective Temperature [K]\")\n", + "plt.title(\"Snow/Ice Color\")\n", + "plt.savefig(\"colorgrid_snow.png\",bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": 355, + "metadata": {}, + "outputs": [], + "source": [ + "alb1 = np.zeros(100)\n", + "alb2 = np.zeros(100)\n", + "albb = np.zeros(100)\n", + "teffs = np.linspace(2700,6000,num=100)" + ] + }, + { + "cell_type": "code", + "execution_count": 356, + "metadata": {}, + "outputs": [], + "source": [ + "for n in range(100):\n", + " bbf = bbtemp(teffs[n],wvref)\n", + " refl = netspec*0.01*bbf\n", + " alb1[n] = np.trapz(refl[:42],x=wvref[:42])/np.trapz(bbf[:42],x=wvref[:42])\n", + " alb2[n] = np.trapz(refl[42:145],x=wvref[42:145])/np.trapz(bbf[42:145],x=wvref[42:145])\n", + " albb[n] = np.trapz(refl[:145],x=wvref[:145])/np.trapz(bbf[:145],x=wvref[:145])" + ] + }, + { + "cell_type": "code", + "execution_count": 357, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(teffs,alb1,label=\"$\\lambda<{0.75}$ $\\mu$m\")\n", + "plt.plot(teffs,alb2,label=\"$\\lambda>{0.75}$ $\\mu$m\")\n", + "plt.plot(teffs,albb,label='Bolometric albedo')\n", + "plt.legend(loc='best')\n", + "plt.xlabel(\"Star T$_{eff}$ [K]\")\n", + "plt.ylabel(\"Albedo\")\n", + "plt.title(\"Snow/Ice albedo with different stars\")\n", + "plt.savefig(\"snow_bolometric.png\",bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": 358, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "5500.0 0.6081278005235092\n" + ] + } + ], + "source": [ + "print teffs[-16],albb[-7]" + ] + }, + { + "cell_type": "code", + "execution_count": 359, + "metadata": {}, + "outputs": [], + "source": [ + "specvar = \"glacalbmin\"\n", + "specinttext = \" real :: %s(%d) = (/\"%(specvar,len(wvref))\n", + "specinttext += \",\".join([\"%.4f\" % number for number in netspec[0:8]]) + \", &\\n\"\n", + "n=8\n", + "while n+80:\n", + " manifest[lfile[0]] = lfile[1]" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0 andesitefine\n", + "1 andesitesolid\n", + "2 basaltsolid\n", + "3 brownsand\n", + "4 clearice\n", + "5 coarsesnow\n", + "6 dunesand\n", + "7 finesnow\n", + "8 frost\n", + "9 mediumsnow\n", + "10 seawater\n", + "11 tapwater\n", + "12 yellowloam\n", + "13 yellowsand\n" + ] + } + ], + "source": [ + "names = sorted(manifest.keys())\n", + "ix = 0\n", + "for n in names:\n", + " print ix,n\n", + " ix+=1" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "nidx = 8\n", + "filename = manifest[names[nidx]]" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Header has 21 lines\n" + ] + } + ], + "source": [ + "with open(filename,\"r\") as fileobj:\n", + " text = fileobj.read().split('\\n')\n", + " for k in range(len(text)):\n", + " if text[k].split()[0]==\"Additional\":\n", + " nhead = k+2\n", + " break\n", + "print \"Header has %d lines\"%nhead" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "spec = np.loadtxt(filename,skiprows=nhead,ndmin=2).transpose()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(2, 965)\n" + ] + } + ], + "source": [ + "print spec.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "if spec[0,0] > spec[0,-1]:\n", + " spec = np.flip(spec,axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5,1,'water.frost.none.fine.all.frost_snw_.jhu.becknic.spectrum.txt')" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(spec[0,:],spec[1,:])\n", + "plt.xscale('log')\n", + "plt.xlabel(\"Wavelength [$\\mu$m]\")\n", + "plt.ylabel(\"Reflectance [%]\")\n", + "plt.title(filename)" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "metadata": {}, + "outputs": [], + "source": [ + "specvar = names[nidx]\n", + "spectext = \" real :: %s(%d) = (/\"%(specvar,spec.shape[1])\n", + "spectext += \",\".join(spec[1,:8].astype(str)) + \", &\\n\"\n", + "wvtext = \" real :: %s(%d) = (/\"%(\"wv\"+specvar,spec.shape[1])\n", + "wvtext += \",\".join(spec[0,:8].astype(str)) + \", &\\n\"\n", + "n=8\n", + "while n+8" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(wvref,specinterp)\n", + "plt.xscale('log')\n", + "plt.ylabel(\"Reflectance [%]\")\n", + "plt.xlabel(\"Wavelength [$\\mu$m]\")\n", + "plt.title(specvar+\" Interpolated Spectrum\")\n", + "plt.savefig(specvar+\"_spec.png\",bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": 85, + "metadata": {}, + "outputs": [], + "source": [ + "def bbtemp(teff,wvref):\n", + " sbk = 5.67e-8\n", + " const = 0.0143877735383\n", + " bbf = 1.0/wvref**5 * (1.0/(np.exp(const/(teff*wvref*1e-6))-1))\n", + " return bbf" + ] + }, + { + "cell_type": "code", + "execution_count": 86, + "metadata": {}, + "outputs": [], + "source": [ + "alb1 = np.zeros(100)\n", + "alb2 = np.zeros(100)\n", + "albb = np.zeros(100)\n", + "teffs = np.linspace(2700,6000,num=100)" + ] + }, + { + "cell_type": "code", + "execution_count": 87, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "2.5" + ] + }, + "execution_count": 87, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "wvref[144]" + ] + }, + { + "cell_type": "code", + "execution_count": 88, + "metadata": {}, + "outputs": [], + "source": [ + "for n in range(100):\n", + " bbf = bbtemp(teffs[n],wvref)\n", + " refl = specinterp*0.01*bbf\n", + " alb1[n] = np.trapz(refl[:42],x=wvref[:42])/np.trapz(bbf[:42],x=wvref[:42])\n", + " alb2[n] = np.trapz(refl[42:145],x=wvref[42:145])/np.trapz(bbf[42:145],x=wvref[42:145])\n", + " albb[n] = np.trapz(refl[:145],x=wvref[:145])/np.trapz(bbf[:145],x=wvref[:145])" + ] + }, + { + "cell_type": "code", + "execution_count": 89, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(teffs,alb1,label=\"$\\lambda<{0.75}$ $\\mu$m\")\n", + "plt.plot(teffs,alb2,label=\"$\\lambda>{0.75}$ $\\mu$m\")\n", + "plt.plot(teffs,albb,label='Bolometric albedo')\n", + "plt.legend(loc='best')\n", + "plt.xlabel(\"Star T$_{eff}$ [K]\")\n", + "plt.ylabel(\"Albedo\")\n", + "plt.title(specvar+\" albedo with different stars\")\n", + "plt.savefig(specvar+\"_bolometric.png\",bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": 90, + "metadata": {}, + "outputs": [], + "source": [ + "specinttext = \" real :: %s(%d) = (/\"%(specvar,len(wvref))\n", + "specinttext += \",\".join(specinterp[:8].astype(str)) + \", &\\n\"\n", + "n=8\n", + "while n+8)7W%dhTGo0zzs$yM_B zs$+LdS6X-W=UW9X(h?IvtbpJCgS|!ajPw)6E_s;~dA38UoAe`c^wEZoO1520j8Fy0 zKYyl+@!oLJZ)oIuNS1>oC>gW8zZ=()$h_>*ciN-dGkKaUMe2<3L*Q$gFO99QFzEO4(A_4ayu9h2_oieQ0YF|teRaJ 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interpol = interpolant(wvl) + intensities = np.zeros((len(specs),3)) + for n in range(0,len(specs)): + intensities[n,:] = makexyz(wvl,specs[n,:],interpolant=interpol) + norms = intensities[:,2]/np.amax(intensities[:,2]) + colors = np.zeros((len(specs),3)) + for n in range(0,len(specs)): + colors[n,:] = xyz2rgb(intensities[n,0],intensities[n,1],norms[n]) + + return colors + + \ No newline at end of file diff --git a/plasim/src/specs/colormatch.pyc b/plasim/src/specs/colormatch.pyc new file mode 100644 index 0000000000000000000000000000000000000000..57257f848052ff2156bbfb8d1d879b81f671455e GIT binary patch literal 3322 zcmaJ@O>7%g5T3VdJHO7a(Y#h38p}=q5-3|3*q8^G10`N{*CWnRmtbMwSy&aHRm6lmJXh3O!Qj zRlZLO{ZbepkN*uL^GPWT$_?xVwX`x&#=b*x1GCT{Rv}hFIHJM|gG0fE!#~YH=kvwe3opO^$!zfT{?zGTe*9oIxHbLsSO47oY%^HCp1gDM{l8{4 zDhYgqQ8|YZJp&SpEWw@9~BH?PxWu;245ZB_E7QI?s^Rr}P zYOP-@sba0Bk9u7njYbx8q9jU#%U4R3YB?9@uN+&g$Gwoe#Xa*ye-M1c?ZnKOJU>5# zL4mscJs7yXAwnlR9<~w!OPArH`ndtOlU)*|9gL}t z&`!5{cWR|NTCk$61GtOA}L&q-DuP 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a/plasim/src/specs/combinedspec-ocean.ipynb b/plasim/src/specs/combinedspec-ocean.ipynb new file mode 100644 index 0000000..f0022a6 --- /dev/null +++ b/plasim/src/specs/combinedspec-ocean.ipynb @@ -0,0 +1,867 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "%matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "sbdartw = np.concatenate((np.ones(41)*0.041,\n", + " np.array([.041,.041,.041,.041,.041,.041,.041,.041,.041,.041,.042,\n", + " .043,.044,.044,.046,.047,.049,.050,.052,.054,.055,.056,\n", + " .059,.060,.061,.061,.059,.057,.054,.053,.051,.050,.049,\n", + " .047,.046,.046,.045,.044,.043,.043,.041,.040,.038,.037,\n", + " .037,.036,.033,.032,.031,.029,.027,.024,.023,.021,.018,\n", + " .015,.012,.009,.008,.006,.004,.002,.001,.000,.000,.000]),\n", + " np.zeros(644)))\n", + "wlalb = np.zeros(len(sbdartw))\n", + "for n in range(0,len(wlalb)):\n", + " wlalb[n] = 0.25 + (4.0-0.25)*float(n)/(len(wlalb)-1)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "

" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(wlalb,sbdartw)\n", + "plt.xscale('log')" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "manifest = {}\n", + "with open(\"manifest.txt\",\"r\") as mn:\n", + " lines = mn.read().split('\\n')\n", + " for l in lines:\n", + " lfile = l.split()\n", + " if len(lfile)>0:\n", + " manifest[lfile[0]] = lfile[1]" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0 andesitefine\n", + "1 andesitesolid\n", + "2 basaltsolid\n", + "3 brownsand\n", + "4 clearice\n", + "5 coarsesnow\n", + "6 dunesand\n", + "7 finesnow\n", + "8 frost\n", + "9 mediumsnow\n", + "10 seawater\n", + "11 tapwater\n", + "12 yellowloam\n", + "13 yellowsand\n" + ] + } + ], + "source": [ + "names = sorted(manifest.keys())\n", + "ix = 0\n", + "for n in names:\n", + " print ix,n\n", + " ix+=1" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "ids = [10,11]" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "seawater\n", + "tapwater\n" + ] + } + ], + "source": [ + "for i in ids:\n", + " print names[i]" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "weights = np.array([0.0,1.0])" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1.0 [0. 1.]\n" + ] + } + ], + "source": [ + "print np.sum(weights),weights" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "wvref = np.loadtxt(\"wvref.txt\")" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(965,)\n" + ] + } + ], + "source": [ + "print wvref.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "specs = np.zeros((len(ids),wvref.shape[0]))\n" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "for idn in range(len(ids)):\n", + " filename = manifest[names[ids[idn]]]\n", + " with open(filename,\"r\") as fileobj:\n", + " text = fileobj.read().split('\\n')\n", + " for k in range(len(text)):\n", + " if text[k].split()[0]==\"Additional\":\n", + " nhead = k+2\n", + " break\n", + " spec = np.loadtxt(filename,skiprows=nhead,ndmin=2).transpose()\n", + " if spec[0,0] > spec[0,-1]:\n", + " spec = np.flip(spec,axis=1)\n", + " specs[idn,:] = np.interp(wvref,spec[0,:],spec[1,:])" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "for idn in range(len(ids)):\n", + " plt.plot(wvref,specs[idn,:],label=names[ids[idn]])\n", + "plt.xscale('log')\n", + "plt.legend()" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "wtspec = np.copy(specs)\n", + "for n in range(len(ids)):\n", + " wtspec[n,:] *= weights[n]" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [], + "source": [ + "sbdart_winterp = np.interp(wvref,wlalb,sbdartw)*100" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": {}, + "outputs": [], + "source": [ + "netspec = np.maximum(np.sum(wtspec,axis=0),sbdart_winterp)*2.1" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(wvref,netspec)\n", + "plt.xscale('log')" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(wvref,np.sum(wtspec,axis=0),label=\"ECOSTRESS Tapwater\")\n", + "plt.plot(wlalb,sbdartw*100,label=\"SBDART Seawater\")\n", + "plt.plot(wvref,netspec,label=\"New Spectrum\")\n", + "plt.xscale('log')\n", + "plt.xlabel(\"Wavelength [$\\mu$m]\")\n", + "plt.ylabel(\"Reflectance [%]\")\n", + "plt.legend()\n", + "plt.title(\"Water Reflectance Models\")\n", + "plt.savefig(\"ocean_refl_components.pdf\",bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(0.34, 14.01)" + ] + }, + "execution_count": 51, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "for n in range(len(ids)):\n", + " plt.plot(wvref,np.sum(wtspec[:n+1,:],axis=0)*2,label=names[ids[n]])\n", + "plt.xscale('log')\n", + "plt.legend()\n", + "plt.xlim(wvref.min(),wvref.max())" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": {}, + "outputs": [], + "source": [ + "import colormatch as cm" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1.0\n" + ] + } + ], + "source": [ + "print np.sum(weights)" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": {}, + "outputs": [], + "source": [ + "def bbtemp(teff,wvref):\n", + " sbk = 5.67e-8\n", + " const = 0.0143877735383\n", + " bbf = 1.0/wvref**5 * (1.0/(np.exp(const/(teff*wvref*1e-6))-1))\n", + " return bbf" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[2800. 3100. 3400. 3700. 4000. 4300. 4600. 4900. 5200. 5500. 5800. 6100.\n", + " 6400. 6700. 7000. 7300. 7600. 7900.]\n" + ] + } + ], + "source": [ + "rgbs = []\n", + "srgbs = []\n", + "albs = []\n", + "stemps = np.linspace(2800,7900,num=18)\n", + "print stemps\n", + "bbs = []\n", + "for s in range(0,len(stemps)):\n", + " bbf = bbtemp(stemps[s],wvref)\n", + " bbs.append(bbtemp(stemps[s]-650.0,wvref))\n", + " refl = netspec*0.01*bbf\n", + " albb = np.trapz(refl[:145],x=wvref[:145])/np.trapz(bbf[:145],x=wvref[:145])\n", + " albs.append(albb)\n", + " #srgbs.append(cm.specs2rgb(wvref*1e3,[bbf,]))\n", + " rgbs.append(cm.spec2rgb(wvref*1e3,refl,normalization=albb))\n", + "srgbs = cm.specs2rgb(wvref*1e3,np.array(bbs))" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig,ax=plt.subplots(figsize=(13,4))\n", + "for s in range(len(stemps)):\n", + " plt.scatter(stemps[s],1.0,marker='o',color=np.array(rgbs[s])/np.mean(rgbs[s])*albs[s]*3.25,s=1000)\n", + " plt.scatter(stemps[s],1.25,marker='o',color=np.array(srgbs[s])/np.amax(srgbs[s]),s=1000)\n", + " #plt.annotate(\"%d K\"%stemps[s],(stemps[s]-100,1.35))\n", + " #print stemps[s]\n", + " #plt.axvline(stemps[s])\n", + "ax.set_facecolor('0.8')\n", + "plt.annotate(\"Stellar Color\",(3000,1.35),color='k',fontsize=18)\n", + "plt.annotate(\"Surface Color\",(3000,1.1),color='k',fontsize=18)\n", + "plt.ylim(0.9,1.4)\n", + "plt.xlim(2500,8200)\n", + "plt.tick_params(\n", + " axis='y', # changes apply to the x-axis\n", + " which='both', # both major and minor ticks are affected\n", + " left=False, # ticks along the bottom edge are off\n", + " right=False, # ticks along the top edge are off\n", + " labelleft=False)\n", + "plt.xlabel(\"Stellar Effective Temperature [K]\")\n", + "plt.title(\"Ocean Color\")\n", + "plt.savefig(\"colorgrid_ocean.png\",bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": {}, + "outputs": [], + "source": [ + "alb1 = np.zeros(100)\n", + "alb2 = np.zeros(100)\n", + "albb = np.zeros(100)\n", + "teffs = np.linspace(2700,6000,num=100)" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "metadata": {}, + "outputs": [], + "source": [ + "for n in range(100):\n", + " bbf = bbtemp(teffs[n],wvref)\n", + " refl = netspec*0.01*bbf\n", + " alb1[n] = np.trapz(refl[:42],x=wvref[:42])/np.trapz(bbf[:42],x=wvref[:42])\n", + " alb2[n] = np.trapz(refl[42:145],x=wvref[42:145])/np.trapz(bbf[42:145],x=wvref[42:145])\n", + " albb[n] = np.trapz(refl[:145],x=wvref[:145])/np.trapz(bbf[:145],x=wvref[:145])" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(teffs,alb1,label=\"$\\lambda<{0.75}$ $\\mu$m\")\n", + "plt.plot(teffs,alb2,label=\"$\\lambda>{0.75}$ $\\mu$m\")\n", + "plt.plot(teffs,albb,label='Bolometric albedo')\n", + "plt.legend(loc='best')\n", + "plt.xlabel(\"Star T$_{eff}$ [K]\")\n", + "plt.ylabel(\"Albedo\")\n", + "plt.title(\"Ocean albedo with different stars\")\n", + "plt.savefig(\"ocean_bolometric.png\",bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "5500.0 0.06915802680817525\n" + ] + } + ], + "source": [ + "print teffs[-16],albb[-16]" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "metadata": {}, + "outputs": [], + "source": [ + "specvar = \"oceanblend\"\n", + "specinttext = \" real :: %s(%d) = (/\"%(specvar,len(wvref))\n", + "specinttext += \",\".join([\"%.4f\" % number for number in netspec[0:8]]) + \", &\\n\"\n", + "n=8\n", + "while n+8" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig,ax=plt.subplots(figsize=(13,4))\n", + "for s in range(len(stemps)):\n", + " plt.scatter(stemps[s],1.0,marker='o',color=np.array(rgbs[s])/np.mean(rgbs[s])*albs[s]*3.25,s=1000)\n", + " plt.scatter(stemps[s],1.25,marker='o',color=np.array(srgbs[s])/np.amax(srgbs[s]),s=1000)\n", + " #plt.annotate(\"%d K\"%stemps[s],(stemps[s]-100,1.35))\n", + " #print stemps[s]\n", + " #plt.axvline(stemps[s])\n", + "ax.set_facecolor('0.8')\n", + "plt.annotate(\"Stellar Color\",(3000,1.35),color='k',fontsize=18)\n", + "plt.annotate(\"Surface Color\",(3000,1.1),color='k',fontsize=18)\n", + "plt.ylim(0.9,1.4)\n", + "plt.xlim(2500,8200)\n", + "plt.tick_params(\n", + " axis='y', # changes apply to the x-axis\n", + " which='both', # both major and minor ticks are affected\n", + " left=False, # ticks along the bottom edge are off\n", + " right=False, # ticks along the top edge are off\n", + " labelleft=False)\n", + "plt.xlabel(\"Stellar Effective Temperature [K]\")\n", + "plt.title(\"Ocean Color\")\n", + "plt.savefig(\"colorgrid_ocean.png\",bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [], + "source": [ + "alb1 = np.zeros(100)\n", + "alb2 = np.zeros(100)\n", + "albb = np.zeros(100)\n", + "teffs = np.linspace(2700,6000,num=100)" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [], + "source": [ + "for n in range(100):\n", + " bbf = bbtemp(teffs[n],wvref)\n", + " refl = sbdart_winterp*bbf\n", + " alb1[n] = np.trapz(refl[:42],x=wvref[:42])/np.trapz(bbf[:42],x=wvref[:42])\n", + " alb2[n] = np.trapz(refl[42:145],x=wvref[42:145])/np.trapz(bbf[42:145],x=wvref[42:145])\n", + " albb[n] = np.trapz(refl[:145],x=wvref[:145])/np.trapz(bbf[:145],x=wvref[:145])" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5,1,'Ocean albedo with different stars')" + ] + }, + "execution_count": 45, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(teffs,alb1,label=\"$\\lambda<{0.75}$ $\\mu$m\")\n", + "plt.plot(teffs,alb2,label=\"$\\lambda>{0.75}$ $\\mu$m\")\n", + "plt.plot(teffs,albb,label='Bolometric albedo')\n", + "plt.legend(loc='best')\n", + "plt.xlabel(\"Star T$_{eff}$ [K]\")\n", + "plt.ylabel(\"Albedo\")\n", + "plt.title(\"Ocean albedo with different stars\")\n", + "#plt.savefig(\"ocean_bolometric.png\",bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 2", + "language": "python", + "name": "python2" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.12" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/plasim/src/specs/combinedspec-snow_ice.ipynb b/plasim/src/specs/combinedspec-snow_ice.ipynb new file mode 100644 index 0000000..3bf6cbe --- /dev/null +++ b/plasim/src/specs/combinedspec-snow_ice.ipynb @@ -0,0 +1,802 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "%matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "sbdarti = np.concatenate((np.array([.970,.970,.970,.970,.970,.970,.970,.970,.970,.970,.970,\n", + " .971,.972,.973,.974,.975,.975,.975,.975,.976,.977,.978,\n", + " .979,.980,.980,.980,.980,.980,.980,.980,.980,.981,.982,\n", + " .983,.984,.985,.985,.985,.985,.986,.987,.988,.989,.990,\n", + " .990,.990,.990,.990,.990,.990,.990,.990,.990,.990,.990,\n", + " .988,.987,.986,.985,.983,.982,.981,.980,.978,.977,.976,\n", + " 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.113,.117,.120,.124,.128,.132,.135,.130,.125,.120,.115,\n", + " .108,.100,.092,.085,.081,.077,.073,.070,.068,.065,.063,\n", + " .062,.058,.055,.053,.050,.048,.047,.046,.045,.042,.040,\n", + " .038,.035,.033,.032,.031,.030,.030,.030,.030,.030,.028,\n", + " .027,.026,.025,.025,.025,.025,.025,.025,.025,.025,.025,\n", + " .025,.025,.025,.025,.025,.025,.025,.025,.025,.025,.025,\n", + " .025,.025,.025,.025,.025,.023,.022,.021,.020,.018,.017,\n", + " .016,.015,.013,.012,.011,.010,.008,.007,.006,.005,.003,\n", + " .002,.001,.000]),np.zeros(264)))\n", + "wlalb2 = np.zeros(len(sbdarti))\n", + "for n in range(0,len(wlalb2)):\n", + " wlalb2[n] = 0.25 + (4.0-0.25)*float(n)/(len(wlalb2)-1)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(wlalb2,sbdarti)\n", + "plt.xscale('log')" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "manifest = {}\n", + "with open(\"manifest.txt\",\"r\") as mn:\n", + " lines = mn.read().split('\\n')\n", + " for l in lines:\n", + " lfile = l.split()\n", + " if len(lfile)>0:\n", + " manifest[lfile[0]] = lfile[1]" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0 andesitefine\n", + "1 andesitesolid\n", + "2 basaltsolid\n", + "3 brownsand\n", + "4 clearice\n", + "5 coarsesnow\n", + "6 dunesand\n", + "7 finesnow\n", + "8 frost\n", + "9 mediumsnow\n", + "10 seawater\n", + "11 tapwater\n", + "12 yellowloam\n", + "13 yellowsand\n" + ] + } + ], + "source": [ + "names = sorted(manifest.keys())\n", + "ix = 0\n", + "for n in names:\n", + " print ix,n\n", + " ix+=1" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "ids = [4,5,7,9,11]" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "clearice\n", + "coarsesnow\n", + "finesnow\n", + "mediumsnow\n", + "tapwater\n" + ] + } + ], + "source": [ + "for i in ids:\n", + " print names[i]" + ] + }, + { + "cell_type": "code", + "execution_count": 148, + "metadata": {}, + "outputs": [], + "source": [ + "weights = np.array([0.1,0.45,0.15,0.2,0.1])\n", + "weights[0] = 1.75*weights[0]\n", + "weights[-1] = 1.75*weights[-1]\n", + "weights[1:-1] -= (weights[0]+weights[-1])/1.75*0.75/len(weights[1:-1])" + ] + }, + { + "cell_type": "code", + "execution_count": 149, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1.0 [0.175 0.4 0.1 0.15 0.175]\n" + ] + } + ], + "source": [ + "print np.sum(weights),weights" + ] + }, + { + "cell_type": "code", + "execution_count": 150, + "metadata": {}, + "outputs": [], + "source": [ + "wvref = np.loadtxt(\"wvref.txt\")" + ] + }, + { + "cell_type": "code", + "execution_count": 151, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(965,)\n" + ] + } + ], + "source": [ + "print wvref.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 152, + "metadata": {}, + "outputs": [], + "source": [ + "specs = np.zeros((len(ids),wvref.shape[0]))\n" + ] + }, + { + "cell_type": "code", + "execution_count": 153, + "metadata": {}, + "outputs": [], + "source": [ + "for idn in range(len(ids)):\n", + " filename = manifest[names[ids[idn]]]\n", + " with open(filename,\"r\") as fileobj:\n", + " text = fileobj.read().split('\\n')\n", + " for k in range(len(text)):\n", + " if text[k].split()[0]==\"Additional\":\n", + " nhead = k+2\n", + " break\n", + " spec = np.loadtxt(filename,skiprows=nhead,ndmin=2).transpose()\n", + " if spec[0,0] > spec[0,-1]:\n", + " spec = np.flip(spec,axis=1)\n", + " specs[idn,:] = np.interp(wvref,spec[0,:],spec[1,:])" + ] + }, + { + "cell_type": "code", + "execution_count": 154, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 154, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "for idn in range(len(ids)):\n", + " plt.plot(wvref,specs[idn,:],label=names[ids[idn]])\n", + "plt.xscale('log')\n", + "plt.legend()" + ] + }, + { + "cell_type": "code", + "execution_count": 155, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 155, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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chaQ50k74XIXiTDAtLQC1EUxxXGgaZBSPn/wBKi7DNfcawLYAMhLGCQWBU1aKz6z7DC82vsh9i+7josKLxn2e6TpxF1BDsIFPvvRJPr320yd0nkJxJpmWAqBQnCrOqisBSLmdZCb0E7IA6vvriaaifHXFV/nc0s8d8XmGK4NQMkRqaJnp8bCu2a5jvK1r20nHIxSK040SAMV5iWPmSgAsl056XDshC2B3jx1MvqzkspFj2198ljX/+c8AZDgzABhMDB53n2+0vDHy88m4jxSKM4ESAMV5iZFmuw+lbuGLC6LJ43/qrumtwef0Ue4rHz22fi3733mTYFcnmS677/54/3H1J6VkX2AflxZfCsCBfiUAiumBEgDFeYnhdAK2AHhj8oRcQLt7drMgZ8HIyp9ENEJnQz0ADdu3nLAF0BZuI5wMc1XpVQCqSL1i2qAEQHFe4nC6AJC6xBOzjtsFFDfj1AXqWJCzYORY2/69SMtCCI2mndvwOX0AhBKh4+pzf99+AKpzqsl2Z9MZ6TyRoSgUZwwlAIrzEt1pF4ixdHBFzeO2APb17SMlUyzMXThyrL1uHwhBwexKIgNB0h3pAAwkj28lUF2/nbiuKquKfG8+3dHuExmKQnHGUAKgOC/RNB1NE1gGuCLJ47YAhgPAYwWgu7mBrMIi0vzZJGPRE7cAAvspSS8hzZFmC0BECYBieqAEQHHeYhg6lqZhxJJEkhGklJO2l1KyuXMzOe4cCrwFI8d7mhvJLa/A6XaTjMVOWADqAnXMyZoDQJ4nj65I10mOSKE4vSgBUJy3GA4DSwg0U2KZqWOuv39076O83PQy75/1/pEAcDIWI9DRTl75TBxuN4lYFK/hRRPacW0Gi5txGgcaRwQg35tPX6yPpJU89QEqFKfItBQAVRNYcTowHA5MzZ7IHSb0xfombf9K8yvMzZrLF5Z/YeRYz6EmkJLcGRU43B6SsSiYJumOdELJY1sA9f31WNKiKqsKgDxvHhJJb7T3FEamUJwepqUAqFQQitOB7nBgCvsr7khBb2zySfdg8CDzsuehidE/i/ot7yCERnHVPBxOJ8l4nO7/eQCf03dcy0DrAnYAeNgCyHHnAMe+F4XibDAtBUChOB0YTicmtgXgTNnFXSZiIDFAT7SHWf7RtM+WZVKzfh0VFywlzZ+FCNgbvwbffRef03dcMYD9gf24dNfIprJcTy6AsgAU0wIlAIrzFsPpGm8BTDLpNgYbAZiZMXPk2J43XiPU18vC1dcBYDUfAiBUt590I+24YgB1gTpm+2ejDyWsUwKgmE4oAVCctxhO94gF4DAnn3QPBg8CjFgAqWSSDb/9FYWzq6i66BIAzHp7N3AyEqZ40DiuGEDzYDMVGRUj73M8tgtoMmtEoThbKAFQnLcYLjfm0Fc8R/NNOunuD+zH0AxK0ksAqHltLaHeHi67+6MITcPs78dqagbA1DTK2lPHdAFJKemKdFGQNrqk1KW78DkmvxeF4myhBEBx3mK4PCMWQI6eOeGkGzfjPFP/DJcXX46hGSQTcTY++RhFc+YxY/GFAITffhsjZRehT+kamTHtmEHgQDxA0kqO21MAthWggsCK6YASAMV5i20B2L73HC19wkn3+YbnCcQD3Ft9LwC169cRCvRx+d1/OrIfILRhAw6PBwBTE3hTOqFkCEtaE15/eMPX0QRAWQCK6YASAMV5i+F0khoSgOxJXEAvN71MSXoJKwpXALDj5ecpmFVF2YJFgO3KCW94k/RFiwG7ypjH1JBMnmW0M2wnfcv35o87nuvJVUFgxbRACYDivMWd7iMmdSTgF2n0xfqOSAcRTUV5p/0dVpWtQghBNDRId1MDlRetHHn6j9fVkersJGOFLRCmruMx7T+dyeIAw1k/DxeAHHeOEgDFtEAJgOK8xePLwJICUxNkCi/RVPSIJ/ZNHZuIm3GuLLFLSLbtqwWgdN5oOujwG3Y1r8xL7YIulsuJayiTw2RLQbsiXWhCG1n6KaUkEY2Q68llMDlI3IyfnoEqFCeJEgDFeYvHZxduSRg6mcL23x+eivnttrdx6S6WFy4HoGVPDbphUFg5Z6TNwPMv4F64EG/5DABMpwPnkABMthS0J9pDlisLQzMA2PLsU/zwz+/Cb3oBtRdAMfUoAVCct3gyhgRA18nAFoDDM3Fu6dzC4rzFOHW7gljrnhoKZs8ZqSiWaG4mtns3GTfeOHLMcjhwpGxX0mQuoN5o78jTP8DW5/8IgHfIaFCBYMVUowRAcd4y1gLwSbtC2FgBCCVC7AvsY1nBMsDO/NnZcIDS+aPun8G16wDwXX89QtPs3cUOB46EvfpnMhdQb2y8ACQidk0CY8A2H5QAKKYaJQCK85ZhAUgaGmnSfnofW45xR/cOLGmxNH8pAG11e7FMc5z/P/TKK7jmzcNZam8QM1wuLF1DT9h7Ao7lAhre+WumkiSidjpqq8+OQ6i9AIqpRgmA4rzF7Rt1ARkpSbojfVw1rp3dOxEIluQtAaB1bw0IQfHc+QCkAgEiW7fiu3r1yDkOlwvTMNDi9lP8RJvBpJTjBKCvrRU5tGcg3mMnlVMWgGKqOWsCIISYJYR4SAjxxNm6puK9jctrB1tThoZMJMj35o9zAdX21TIzcyZeh92udW8teeUVuLxpAIRffx0si/TVV4+c43C6MHUNEU/g0l0TxgAGEgMkrSS5btsF1NPUAIAvJ49QTw+ZrkwVBFZMOackAEKInwshuoQQuw87foMQYp8Q4oAQ4isAUsqDUspPnMr1FIoTQdN0HA6NlCGQifgRArC3by/zsucBYJkm7XX7KJlXPfL54CuvYuTn414weszhdmMKgRWLke5InzAGMOzeGY4BdB9qQtMNiufOJxYaINetNoMppp5TtQAeBm4Ye0AIoQM/Bm4EqoGPCCGqjzxVoTjzuJwGKV3DisVsAYjaAtAX66Mj3EF1jv3V7G5qIBmPUTzXfm8lEoTfeIP01asR2uifieF0YWoCa6g4/EQxgOHJfdgF1LavlpySUtL8WUQHB8j15CoXkGLKOSUBkFK+DhxeZ28FcGDoiT8B/Ab44KlcR6E4WVwuh+0CGhKAnkgPlrTY27sXYMQCaB3aAFYyJACRd97FikTG+f/BtgBSgIzFJy0KMzy553pyaT+wj9a9tcy/YjUeXwaJaJRsp18FgRVTzpmIAZQAh8a8bwFKhBA5QogHgAuFEF+d6GQhxP1CiM1CiM3d3d0TNVMojguXy0FK05DxKAXeAlIyRVeki9daXsOhOUYsgIbtW8gsKCQjNw+A0KuvIDwevCtXjuvP4XRhIrFisUnLQo4VgMYdWwGoSEoc8YR9nImzkyoUZwvjbF1IStkLfOo42j0IPAiwfPlyeYzmCsWkuFxOIkMuoEW5dnK3t9reYk39Gq6vuB6f00d0cIDmXdtZ9oEPjZw3+NprpF12KZrLNa4/hw4paSGjUdId6bSH24963d5oL4ZmkOHMINDeRnpmFj1f/3sGcv1QkoPfSieaijKYGMTn9J25X4BCMQlnwgJoBcrGvC8dOqZQnHWcbidJTUcm4szNnkuaI43vb/0+oWSIu+feDUDDts1Ypsmciy8DINnVRaqtnbSLLhrfmWXiOPAcZiqOTCTwGemTWgA57hyEEATaW8lw2zuRHdEYAAVk2dcONpyJYSsUx8WZEIBNQJUQYqYQwgl8GPjjiXQghLhZCPFgMBg8A7eneC/h9riHXEBxDM3ggvwL6Iv1sTh38cj6/8YdW/FkZFIwczYAsZoa+9wFC8Z31r0PwwyRsmzD1I9n4hhArIdcTy5SSgLtraQN7RtwDRWVybHsp/76/vrTO2CF4gQ41WWgjwFvA3OFEC1CiE9IKVPAXwIvAnuA30kpa06kXynlGinl/ZmZmadyewoFTreb5JAAACwvsJO+fXzRxxFCIC2Lpl3bmbHogpHVPrGaWhAC9/z54ztr2YRDs+wgMJAhXcTMGEkzecR1h/MARQcHiIfDePqD6JmZOIcEwBXXcOku6vrrTss4k6bFTd9/g88+uhXTUp5TxfFxSjEAKeVHJjj+HPDcqfStUJwOXB43ltBIDgnAnXPuJNudzeoye3VPZ0M9kWA/My9YNnJOrKYG56xZaGlp4ztr2YQhTEBgCYFPugEYTA6SrWePa9ob7aU6p5pgZwcA7r5+vCtWkHr5ZTQhiA0EqfJXsbN752kZ545D/dS2D1DbPsCls3O45+IZp6VfxfmNSgWhOK9xeexdvomkvfom05XJbVW3oQn7q9+wbTMIQcVYAdi798inf4DWLTg0++na1AQ+y84vdLgbyLRM+mJ95LhzCHbbuYecPb24qqoQDgceh5NQXy+rylaxo3vHSOWwU+HdRns1dnVRBt99dg8HuiavV6xQwDQVABUDUJwuRgUgddTPm3Zto3B2Fd4M291oDg6Sam/HNWfO+IaxAejag1FgHzc1QbrlAI7MB9Qf78eUJrmeXAa67Y1nnngSR3ERuj+TNN1BsLuT6yuuB+D3B35/yuPsGojjcxv84mMXoQnBT15VsQXFsZmWAqBiAIrThSvNFoCkaR7xWSqRoOPAfkrnLxw5Fq+zffKuOVXjG7dtBSSOcttSMDUNr2l7UAeT4wVgeINXjieHge5OXG4PDktiFBVh+LPwWpJgVycVmRVcVXoVj+157KhxhBOhL5wgO81JQYabm5cU8/zuDpLmxAXrFQqYpgKgUJwunN50AJLWkQLQefAAZio1svsXIL7fFgB31WEC0LIJAKPYFgtTE3hNu+D84RbA2E1gwe4u0oeSyzmKitCzsvAkTUKBPlKJBHfNvYtAPMCG1g2nNM5AxBYAgMsrc4kmTWraJq5VoFDANBUA5QJSnC5cabYAJKwjn4Zb9tqL04bTPwPE9+9HS0vDKC4+rPEWyJ2DI9Mu8G4KDU/q6IXhh/MADbuA0nTbVeQoLLQFIBIDKRno6eKS4kvIcmXxbMOzpzTO3lCCa+QmqHuZi2baewzebVCpJhSTMy0FQLmAFKeLYQFISomU45dHtu7ZTXZJ2Yj/HyB+4ACuykqEEKMNpbQtgJLlOLx2jQFTE7iGwgqHZwQdawGEA314TInm86F5vehZftxB22IIdnXi0BxcX3E9rx16bdLyksciGh7gL7u/CY/cQX6ak4ocL+82BE66P8V7g2kpAArF6cKVZm+4SgoByVE/u2WZtO6rHVf+ESDR2Ihz1qzxnQQaIdIDpcsxhoLKliZwpQQCcURG0N5oL27djSOlEY+EccUTGPm25aBnZeHusyfm4SWiN826ibgZ543WN05qjFJKciIHx9xvAytmZvNuQ6/aE6CYFCUAivMaOwYg7ZTQQyUZAXoPNZOIRikZU/7RCodJdXXhrKgY30nLZvu19CIcQ7mBUpqGjMXtmgDxwyyAmF0JLBy0J3pHOISjwBYAIysLVyKJ4XQS6GgDYHHuYnLcOaxrXndSY4wkTPzWmKf9zhouq8xlIJaipk25Uac7zb0R3jnYy6bGPrY0BTjYHTprwn3WksEpFFOBcLhxYNkCEAqhD7kVuxrtJ+aCmZUjbRNNTQBHCsChjeBIg/xqjIA90VqaQMai+LP99Mf7xzXvCHdQ4C0g3GevzXcGBjAq7OWjut+PAPw5eQTa7RRZuqazqmwVzzc8T8JM4NSdJzTGvnCCLDEmEN2yiUsueR8Abx7oZXGp/4T6U5wdXt3bxf+8Vj+yh2MsLkNj0zeuJcPtOKP3MC0FQAhxM3BzZWXlMdsqFJOiO3EIE1PTMENhhv+cuhrqMVwussYEexONjcBRBKDpLSi/GHRjxAIwNQ0rFifLlUUgNt7X3hZqY1nBMkIBOwhr9PZhFBQAoGXYMYTMzCx620dzJF5dfjVP1j3JO+3vcEXpFSc0xL5wgiyGBKBsJex+kvwr/445Bem8Vd/Dp1fNPqH+FGeWWNLkm0/X8NvNhyjxe/jaTfOoLspEIjEtSfdgnOa+yBmf/GGaCoCUcg2wZvny5fdN9b0oznF0Bw5hkdIEVjg8crir6SB55RVomj5yLN7QAELgnFE+en6kD7pqYcFtABjDAmDYFkCWO4vOyOhO3pRl1xsoTi8m1Go/2bmj8dEYwJAFku5No/HAXqRlITSNlUUr8RrwX8wKAAAgAElEQVRe1javPTkBECEszYG2+mvw69vg8T/jssp/5LF3m4klTdwO/dgdKc44SdPiow+9w6bGAJ9dPZu/vnYODn3qPPEqBqA4v9GdOLSU7QIK28FaKSXdTQ3kzZg5rmmiqQmjqBDN7R492LzRfp1xKQCGwwlILEPHisbwu/zjLIDOSCemNClOKyYS7EfTdQzLwigYFgDbHZOmOzBTKcJB233k1J3cMPMGnj7wNP/67r/y16/+9XGvCuoLJ/ATwvJkw6yrYPXXoP4VrssbIJa02NqsVgNNF/7txX1sagzw33dfwN9dP29KJ39QAqA439GdODXbBWSF7Ak13B8gHg6TWzY+YVryUAvOsvLx5ze/BboTSuwdwEIIHDpYusCKx8h2ZxOIBUaWmLaF7MBucXoxiWgEp8OJABxDLiA903YBeYdyEQ32jFa9+9TiT+HSXfx6z69Z17yOb7/97eMaYl84QbYYRHiHEtIttuscLE1sQtcEbx1Q+wGmA6/u7eLB1w9y78pybr2wZKpvB1ACoDjf0R04NZOUpo24gHpbmgHIKR0/2SdaDuEoPewPs+kte/J3jFoFhgamriGjMfxuPwkrQTRlrzAaKwDxSASHbntZR1xAQzEAz1CahoGerpF+i9KLeOZDz/D4zY/z0eqP8kLjC/THxgeYj0ZfJEG2CKENC0BmKWSU4u7azoVlftbt7Zq8A8UZJ2lafHtNDVX56Xzj/dXHPuEsMS0FQO0EVpw2hMBpWJiawByyAI4mAFY0itndg7NsTDG7eAjad0D5JeO6dBgCUxdYsRhZLnvXbV/M9vcfGjyEJjSK02wLwDF0D0Zurn07DgdaWhqehL0nYaBnfN3rPG8e87LncXXZ1QDs7Dl2uui+UIIcLTRqAQCULIXWLbx/cRF72gdUdtAp5jfvNtPYG+GrN82bVvGYaSkAaiew4nTidAztAwiNWgDutHS8maPLI5Ot9oocR0np6Iktm8BKwYzLxvVn6GJoGajtAgJGloI2DzRTlFaEQ3eQiEYxLImem4MwRtdb6JmZ6INhPBmZ9DQdvSTkbL+9cqdpoOmY4+uLJPCLEHjGCsAyCDTygUonmoA/bm87Zj+KM0MsafLDVw6wYmY2q+fmT/XtjGNargJSKE4nLoNxLqDB3h4y8grGpXtIHDoEgLNsjAA0vQVCg7IV4/pzGBqmZlsAfrctIsMWQNNgExUZFQDEoxGMZBJHfsG487XMTMxgkLLqRTTX7ERKOT71BOB3+fE5fccnAKE4GXIQvIcJAJA3UMuls3N5ekcbf3PdnCOuozjzPL75EF2Dcb7/4Qvt338yCmu/DbufAG+u7bKbdRWk4jBrNZQuO3anp4lpaQEoFKcThyFsF9Cg7QYJBwKkZWWNa5NsGbIASscIQPPbULgI3Bnj2hoOHVMIZDRKnicPgO5IN1JKmgeaKc+wXUuJaAQjnsDIyxt3vp6ZiTkwQMGsSkJ9vSRjUQ5HCEFFRgWNA43HHF8i3I+BCd6c0YPFFwACWrdwywXFNPVG2NGiXKpnGyklD75xkGUzslg5Kxu69sLProF3/gfKV0LObOg7CC99A175B/jfq2H7Y2ft/pQAKM57nIYAIUiEhgSgv480//gSjonmZoTHg54zNImm4rYL6DD3D4DD0G0LIB4n35uPLnTawm30xfoIJUPMyLBXFyUiEfRYHD1n/LX0IQsgzW+L0PBS0MOZkTGD5oHmY47PDA/tJB3rAnL5IG8etG7hhoWFOA1NuYGmgJ0tQQ71RfnwRWWIgTb4xQ0Q7oJ7noS7fw0ffgT+cjN8/CX43HaYeSWs+Txs+l9IRM74/SkBUJz3OB222yMRGsSyTCLBIOmHWQCxnTtxz58/6iJp2w6p2BEBYADDYWBiWwCGZlCYVkhbqI39gf0AzMq0k8klohH0WAzdPz4Vg56RYQvAUAwi0j+xALSH24mlYhOOLWVaGHF7nb/pzKZ+axehgF3/mJJl0LqFDJfB6rl5rNnZporEnGWe292OoQmum58HT33afrD42AtQde1oI02zd5pnz4TbH7Ktzpf+HuSRNSxON9NSANQqIMXpxDG06iIeiRAJBpHSGmcBWIkEsdpaPBdcMHpS05v269AGsPH9GZjCjgGAveSzLdTGnr49AFTnVJNKJjFTKfRE8kgB8GdiBYN4htJQRyawAErS7SWpbeGJn9wDkSRZIkTEzOTx33p44cHdPPadd2iq6bVXAkV6ob+JO5eV0T0YZ23tqdcfVhwfUkqe39XBpZW5+Bueg4b1cP0/Qe4kKW7S8wnf8Sx7V76MdKaf8XuclgKgVgEpTifOIQFIRiKEA7a7JC17VADitbXIZBLPBUtGT2p+G3LnQFruEf0JXSekOemXdkGA4rRiWkOt7OndQ3FaMZmuTBJR23w3TAvjMGtDz8y0r+ey9xZEBo4uAFlu+7xgfOIHoUAkQZaM8EzgGwQ6EywuD+LLdvHSz3YT8l1oN2rdyup5+ZT4Pfzy7WMHlRWnh9r2AZr7Ity0IA9e/SfImw9L/3TSc6SUvPKrvax/qodwf/yM3+O0FACF4nQyLACJaIRwv+0uSR9jAUS2bwfAs2TIApASDr1jB+mOQv9AAoAdeRlIKSlJL6Ez0snmzs3Mz7GriyUitgA4LMu2AOKD8B/z4Jm/GUkI5xzaPRyewAXkd9mWw2SbwXoG45SHq+hJzWRBzUPk/vJr3PipRVimZP06DWl4oeF1dE1wz8py3j7YS12n2hNwNnhtn73H4wb3buitgyu/CNrkewDqt3bTXNvHyg/NJj3LPWnb04ESAMV5j9Npr3ZOJuKEhi2AMU/l0e07MIqLRnL2M9gOsSAULj5qf27PcE0AgUwmqc6xd3b2RHu4aeZNgL0EFGwLQPf77ZoCg+2w+eforqE4QyiM25cxoQso02VbwIenmx7Loa3duBJlXCB/R97QpjGfV3LxB2fRuKuPfel/AfueB8vi7uVlOA2NB18/OGF/itPH+v3dVBdl4N/5C/AVQfUHJ22fTJi8+UQdOaXpLLrq7KSKUAKgOO9xu+y0urFkctQF5B8rANvxjvX/d9Xar3nzjtqfNpTeIanryFiMK0uv5N7593JFyRVcO8MO7sWH9hyMCEDr5pHzddN+MjSDA6Rl+icUgAynbSkcXnR+LIHdATS9l3nWKyPHYvv3s/jqMoqr/Lxx8HIGgylo20pOuouPrpzBk1tbONB18uUnFcdmMJZka1OAW8vCUL8Oln0M9MnTO+9+rZVQIM4Vd1WhnaUkcUoAFOc9bo89YSeQhHp7cPsy0A37jzHZ0UGqo2N8ALhrr/2aP//wrgDQ9KGYgqFjxWIIIfjyii/zk2t/gjaU5C0WsquEOUwLPSvLLiqfZu8H0BN2bh4z2I830z/hMlCvYZefHM4zdDiJaIpUd4x01z6klTZyPF5Xh6YJrvmz+UhhsC74OWTtHwH4zKrZeBw633th7yS/McWp8nZ9LylLcmvod2B4YPnHJ20fGUiw+bkGyhdkUzIna9K2pxMlAIrzHpfLiUCSNHTCPd2k+8e7f4DxAtC9x56sjxIABsb5cWX86IG66NCmM2fKtGsA9DdB2cXgykA37aLxZn8/GXn59HccfZWPQ3dgCGNCAWjdH0BIKHTtxTJtf7FwuYjXHQAgI9fD5XfOoTWxiF2vt0MqTk66i8+sruSl2k5erOk4+vgUp8z6/d1UOzvJa3gKlv05pOdN2n77y80k4yaX31l1dm5wCCUA04xELMWWFxoJB8/8CoD3CsJw4tIsErpGKNBLWtZoADi2Zw/oOq55Y9w93fsmdP8ACH00g4qMHX2NfnTQtgBcLredB2iwHXyF4C9HN4csgL4+cstmEAn2jwSnD8djeCYUgPb6IJaAClcNqZQL3e/HNW8u0Z07RtrMv6yIGbPgrZ7b6NtgWwH3XzmLeYU+/v6p3QSjyQnHqTh53j7Yyzd9f0Q4vHDF307aNhZOsvv1ViqXF5BVmDZp29ONEoCzhJmy6O+cfGdfNJTg6f/ezsanDrL52cazc2PvBXQnbs2yLYBg/zj/f6KhAWdZGZpzTB3e3nrInfhJLCt3NOWCNYEAxEIDGELD4fNBMgbRwIgAaKEWtIwMUt095JXbRWke+frRJ4nJBKC/M0LMJcjVApgJHT0ri4wbbyS2Yyf9f3gKsFNKrL7/Uhx6kqeecNPbMohD1/i3O5bQE4rzj8/UTjhOxckRjCYJdrexPPIGLP0opE+eAG73+haScZOl18+YtN2ZYFoKwPm2ESwRS7Hmh9t55JsbefVXezi0t49XfrmHF366izefPECwO0I8kuTp/9pOb0uI/Bk+9r3TQSJqrzOPhZN0NgxM8SjOYXQnHsMkYehEQqFxFkCioQHnzDGVwWJBiPZBVsWE3a289nLydDuImhpTZnIs0cFBnEKg+9IhNORq8RVBZhkED2Hk5pLq7qZs4SIyCwoJ9fYirSN36XocEwtAsDvKoCHJtIKYMbvgfPZHP4p3xQo6v/tdrKGlqGl+N7fdEUZYcdb810YCHWEWlWbyqatm8/iWFn6mVgWdVna1BLlO34IuU3DhvZO2TSZMdrzSwoxFOeSWnvmNX4czLbOBTueawI07e+hqPrF11E27eug+FKJqeT573mqn9s12nG6dNL+Lhl091LzRSmaeh0BHmPd/djEur4Mn/mUzu19vRdMFm59rJB5JceOnFjHrglFfomVJaje0UfNGK4tWlTL/0iKQ0H4wSOfBAcoXZJNTcvxfqn0b2xnojVG5LJ+swjQ6GwZwuHSyi22ztG5zJ2mZLoqr/MfoaZqhO3AbKQJON5ZljsQApGmSaGoi7YoxNXgDQxulJhEA3ZXGfE8X3aF0IoEAvqO0iYUGcUqBlu6DwWEBKIRoP8QHMHL8pHp60DSdpTd+kFcf/inR0CDejPGbHyeyAKQlCXZHCbljaFiYMZN23wBPbf8hn7zvPg7ddx+RbdtIv8zOZZR11d3csvV2nm74GL//963c9OnFfOF9c2nqjfDd5/aQ63PyoQtLj7iO4sTZ1RpklbYDy1eClj958ZfaDW3EQkmWTcHTP0xTAZjONO7qoeaNE0uq5XTr3PgXC5m5JI8L3zdIf1eEikW5OFw6A71RXvrfGjobBrjuE9WUV9vuhfwZPt7+Qz0AZfOziIaSvPLLPWiawF/oJTPPw8sP1XBgSxeeDCev/movm59tRCIJ9dnxgy0vGCy9fgaH9vQR7I5ipSwWXFlCIppiz1vtmEkLp9cg3e9i8dVlrH3YTmXQcXCAwlkZvLumAcOhseCKEmLhJPve6cCd7qBqWT4FMzOYu7JoZIxSSqKDSaQl8fgcaLqGtCR97WGyi9OmNg2x7sTrSBIb2lo/bAEk29uRiQTOmRWjbQON9uskAoDhwmvYvvPoBLt4o4MDOE0LLdtn+//BtgASQ8tDfW6iB1rsw9n2//lgb89xC0A0lMRMWsSc9sOIGU6ww3+Qh3Y/xP233ANCEN2xY0QA0DRyrv0wtz3+JdYkf8RT/7GVS2+v5N/vXEwgkuDvHt+J29C5cVHREddSnBgNnQH+VN+FNucjMMn33jIttq9tpqgyk6LKqXmoUgJwglz1J3O56k/mnvB5wxNgXrmPvPLRZ8aMHA+3fXEpoUCcjFzPyPFLbqtk79vtLLiihKLZmfR3Rnj8nzfx7E92goCyeVkc2hPg4ltmsvSGCva+3U5zTR9m0uSSW2eTVZjGMz/ewdt/qCe7OI2i2ZnEQkneXWMXIJm9NA9ftptENMXB7T2s/UUthktn3sWF1LzRyqHaXmYvzSc6mGD3663ohqBicS6Nu3rYtb6VXetbScRMFq0qpb8rwvpH99Gy1w5kZhV6+eDfXMi7axqo3dBGydwsrrx7zoglcdbRnXiM0WDncAwgcdB2fbjGuoACQwVaJhUA90h/kQnclLHQIN5UCn2sBZBeCKa9i9hIN0h12ymkM/JsH/FAVycFM2eP68djeI66DyAyYIu8LmwBMgejDA59fbr1CM7Zs4jtOKya2MLb8a//F+7iH1ir/TcbHq9j+9pmvnJzBd9OmvzlY9v4p1iSuy86rC6y4oRwtG0mjRhUXTdpu8ZdvYT64lxx15yzdGdHogTgBDkTT7Karo2b/AFK52ZROnc0WOkv8HLPdy6hvyvCvrdtN9LMJbksu7ECIQTVlxVTfVnxuD5u/9Iywv0JCmdlIIRASsm2l5oxnDqLVpWMjKVkXgcvP1RL9aVFLLyqhN2vt+Jw6Vz1J3PwpDvH9Vm7oQ2nx2DfOx28/pv9bHyqnkTcxOnSufiWmRhOnXfWNPDYd94hHk4xc0kubXX9/OYf32XRVSXkV2Tgy3Yf1Y2UiKU4sKWLyqX5OD2n8aupO/Doo6uqhi2ARIM92TtnzRptG2gETxa4J8lDZbhIcwxZAKEjYzPbXnyGQHsbmfEEmi8dwt0gdLvfod+54U4ho1GsgQH8hfZT99qHfsKG3/wSAK/fz+1f/Q5ew0tX5MiavuF+W0gytW6slEAmkgx67JBee7idsupqIhvfOez3YMB138H123u5acEPqb/kX3h3zUHe+OU+bs33MMOXwdee2MXmxgDf/uACvE41PZwoUkpKgpuw0NCOkkp8LLvXt5Ce5aJiUc6k7c4k6n/4HMKb4cSb4aS40s+i1WX4CzyTClJGjoeMnFFhEUIcdaVB1fICNE2jbH4WLq+DBVcUk1OSfsTkD1B9uS0yM5fksu3lZmKDSVxpBtWXFZPmt1Mk5M/wseZHO5lzcQHX/nk1sXCSjU8fZOdrLWCnv2H2hXmUzh8NxkpLsvPVFvo7I+x85RDv/+wSfNlH5kJJJUxeeqiG+ZcWMXPJ5GurR9AcVKZ10ZAsxZPpx59fCEC8oQEtM9PeqDVMoBH8x/DHGm68DnsCjoSO3FG7Z8NrAJR096P7fBBusou1aJotAq4MnEMWRLz+IN6lF3LJHR+ht9V2CYV6e2ip3U2wq3NCF9DwMuE8vZ1Uwt6XMGwBtIfaqaquZuCPa0j19IzUIwZg3gegYBGi5kkqK69m1v+7h/qtXWx9sYnZTVH+xvCyaUMHd9f38fW7FrNy1tRNTgDrHq4lMpDgps8sRjem5ZqVcfSEEiwx9xDwV5Hjmdit098Z4dCeAAvyuhh8oZ/0q1ahp599C1kJwDnK6VwxIISgctnoUrVV90y8Bn4Y3dBYfmPFUT8rrsriY/96GQ6XjhACT7qT1ffM4+KbZ5GIpjiwtYvNzzZSv218QXRvppPL7qhk0zMNPPGvm1l4pW2NXPtn1ZRV22Kx7eVmGnb00NU0SNn8bAzncRTY1p1kOyNc7M4Ey4HQ7Ikk0dCIq6JivIj2H5pwB/AIhgvvkAXQ2NrIFYd9HGhrZdHq68jc8YAdBI70juwCRgjImoErZVsO8QN1eJdeyKV33jNyftPO7Tzx3W8QHQhOKACRIQEo0VuIW3bfwwLQEe7AXW2XFYzt2UP62CC3EPDJtfDwTfD0Z9GCrVSt+jKVy/I5VNvH7tdbETt7oFHy9H9s5fmKdD724Woqys5+Zl4pJXs32u6ztQ/Xcv0nF571ezhR6juDLNHqCRbecdTPpZSE1q3j7V/tQLgX43/6v2h7fAAcDlyzZ+OqqsI1ezYZ778JZ1nZGb9fJQCKM4LTfeRXa9iCWX5jBYtXl5KMjy944fY60B0aZfOzeebHO+x4hYBta5uJR1Nse6mJ3rYwOSXp9LaG2PHKIZbdUDGuj2TCpK81jGVaeDKcpPldOAzbMqnPuJgGcyaXbmhjy4tNLGtqx79y6ejJUkKwBeZcP/ngDDeaYZsyXf19mKnkSGqJeCRMLDRIZqZtVYy4gNLGPElnVeDo2ofweEjU1x/RvWcoW2h0cACP4SGSPHL/SDiYQHPrlIguknou0Mug1xay9nA77sW2iMVqasYLAIDDDR97Hn50Ebz2T1C4CDHvJsoX5FC+IIfBvhi7N7RhbWhFq4/yzHc3I/1O5i/JY/aCXIorM3F5R/PaSCmREjTt9LpHW/aMbo5rr5s4Id50oq9hG+kiRmL2kXUkAPp+8TCd3/seHZf9I/kZcRa++hyJhgZC69cT27ePyKZNDKxZQ+DRR5n55BNHlBM93SgBUEwJTrdxVJEAyClJ586vXERX4wBdTQNseraRzoYBXB6D4io/q++dx4bf1bHx6YMk4ya+bLc90Tt1XnyohuhQuuZhSosqqY5exl4WgQ6vPrIXJDS4F+FwXERkSxe717eQW2hweSpqr9UfIhZOsuu1FioW53JwWzdFszNp2tXDEmv0D7O/s4OcEvuc4R29HqftvtJ9GdDTM1Sjd4isCkTdy7gqryJWu+eI8Q+vBIoM9OPJ8xAzY1jSGskzZF8nDm6dPNGPJSuAXgY9dtC4PdyO7vPhnDWLyLZtR/8PMFxw/2vw8+vhNx+BuTfBhx8FIfBlu7nkllmsvHkmNXt7efz3+4i1RbDWt7Jvvb0CLrcsncxCL+2YrG3oJZhKUZjjYeGMLD60oozcLDfudAf6KSQ1++MPhtJ0+xzDnsNpj2jeCIB/zuVHfBZ68026/v3fkdfeQSSVxYpb5mLk5GDk5OBdvnykXay2luDTfzyikNCZ4JwTgGQySUtLC7EJdmAqph63201paSkOx+TZDyfDm+GkYnEuOaXpbH6ukVTc5La/W0pOse36uu7j1bzws91seX58gZP0LBc33L8Qh0snMpigq3GQXa+10Ck+i88I4e5qoDt7EQCNFTdBN9T9bDcOt07rfpM03y2Ets9ENu0nEUmRjJsc3N7N1hebSCUsNF1gmRK37xrALiTf39FGTkkZb//hAAJ7gnQbBibDFkAPeMf44bNmQiqGd2EVgSefwQyF0NNHXXreTD9CaIQCfXiKbL9OLBXD6/COtAkHE1hujVwZJCnt44MemJs1l/ZwO8F4EO/y5Qw89xzSNBH6UVxl3mzbHfSTS2Dfc/DInbD6q3YpSWzX4ML5uSz8ei77Owf53rN72F/bS2lKo6JrkIzWQXyWwH7WNaA/CfVdPPPK+KB16bwsrvv4ArwZR8aUjoei2X4advZgWfK0WxmnG3/vdnpENrlZ41dSJVpaaPvbL+CaPYuuVfcg1rVNGMNyV1fjrp58/8Dp4pwTgJaWFnw+HxWH+27PEpYlEeLMrAY6H5BS0tvbS0tLCzPHLq88SXzZbpbdWIE73TEy+QMYTp33f2Yx0cEkZspisC9GoD3MjIW5pGe5RtrNXVFI8/Zmgv0elmTVob/1B3I+dw2DB9to7TLIK3QiXC6u/rP5/OY77/LW4McwdoPu7CCVsDBT9u7cVMLC6TFGdmd3JOcxLACBtlYiVQm2vtiMmdgHgFtohAHd64Z4cHxiuSLbGshYXEjfYwlC69aR+cHRXPGarpPm9zPY24PHKAAgkoqME4BIMI6ZDv5kmG7THm/IY5ejfHTvo1z+m8t5etEXsX4XIlZTg2fx0Wsb4M6Ev94Nr/+b/e/Ay3bVqlt+OK7ZnAIf//vxFXQPxnmxpoOtzQHS010sLMuiOtOLZUEylqKhI8SaLS3sbxlgvmlQmtBo2RvgF1/aQFFlJqvvnXdc+W7kULEcd7qD4jl+Dm7vZu3TdVx3axVCCHrbQiRjJoWzplfVwKLoPtrT5pM7Zn6wolFa/vKvkFJS+qMfsfEX7RTP8Z+0IJ5OpqUACCFuBm6urDyydmYsFpuyyR+gfSBGXziBU9dw6AJD1zA0ga6JI151zf5suj+1nE6EEOTk5NDd3X3sxsfJxbfMOupxIcTIH5Ev203xUTbTCE1w8eWC7S/WMat4kJ5IJ4uvzWL7f62jw5zDDZ9ZQUa+LSwL5wZoqkty1zevxp2XT+OuHp798U6KZmfSfWiQa/50Ps//dBcAHYkq/IkX6Xca9LS0cXC7PV5p2Ru9NmzQEYs/y8CuOOWJuRSNFYDChaA5cKf1oPv99D/5+3ECAPZS1Uh/AI9RAYxPCS0tSSSYwMqwxcmMayS9TjRd4665d/Ho3kcB2FXpYK7bTf/jj08sAGCvTlr1ZVhwK/z0Ktj6S2h8Ey77HCz5EzBGJ6o8n4t7V87g3pVHXylVOi+bK1aVs6d9gH95fi8v7+lhme5mcT+0Hwjy6Lfspal3fnU5+TMyJryl4fiQb0kW/7H+ABcDdS+28NimFnIvzKFiXS8AW2cYJIXE7XGg+xx40h1UF2Ww+P+zd97hUZTbH//M9s1ukk0PCQmBACFAEkIvBhEEvKIIKFaa/aIXrgUVFQUVO3p/FhSxRa8gih1sgIB06SV0EiCVkF62l/n9MZtNBQIJIVz38zz7JDsz+87sZjPnPec953vaGgjxVROkV+GrVrTI/cJuLifalcuWgGtrbc9/6WWshw8T9cECKpXBlJxKJ2FI66i6bpUG4FxSEJdy9u2rUSATwOZwYXe6MNkcOJ0iTvHMUUqZUNdAyFDIBarsgtz9XCETkAkCgoBkQAQBBJALwmXlcbS2a+2UqKPT9scxRb5OIWA9chj/v77h2j798Qv9h+e4wV22Ixr/iyw4C4CYhGAmvzwInb8Kq8mBUitH7aNArpRhKgPCHkco+5SDGzNI3yPN/EVXOaBAEJVYNEFs3+ZkO68Q8K2L8IMHiesXLum9h3VFOLWbgAkTKHz3XWzZ2ajaVt8U1Do9FpORIIUUAqppACxGOy6XCLirgC0iVr0KvUpDrCGWPZP2kLIkhV3mI/QdPZqyH38k5JFH6vUmrkdIHDyZBVveg60fwbJ/S4+UGTDgQSlk1BDGQimE5BcBMSmgUBPfxo/P7urLpmOFPL/8AA6ThZ626tvN0pe3c89/BqM+Q73Hzt+l0N53O3LQGqoNUFKFwKIjBUxxy5j1POlw73Fil1k4oBd5SchBBjjcX0OZAMF6NcnRBsb3imJYfOhF+Y4Wn0wjTBBxhnTzbLMcPkLpN98QOGkS+sGD2fazlNjQIfniLjrnBuYAACAASURBVO42llZpAFozfholfprase05c+ag0+l46JFHcbpEHC4Rp8uFwynidIk1tkk/TXYHTouIC0AEscYS1/49u1j27RJmPv+qZ5uAZCRAMgwKubuYyG1Qqr7KVV6HIFQ/V9TxPhQyGfIa2wRBGqe13bSbFZUUclBHSB5C2fff4yosxP+q2tkxQlkmgiGiVvl+VThJo5f+5jc/1QeFSs7hN56gcL+S4yoHihBIHN6ejr3C+H3BOiqLwhgRn0f+steITp1H+reLyTTcS8auAg5uzCMwQkcH3W0kF72J/4R3KFywgMIFC4iYO9dzXrWPD8aSYrQNGICqGgBBdFcBG+2YdQp0Sul9ygQZiSGJ7CnYQ8CEVyn9+muKPvyIsMcfO/dnJVfCoH9Dv6mw/WP4bSasnyc9NP5wxcMgV0k3+19ngtYABXWay0QPkAxG274M7BjG8mlX8OnG4yz95Rj9KuWEO6Tv8kcPr2PUA4nEJNbvu3AgU6qwjkoOZvZNCXz26AYAlHaRVyIjOJRVv5eB0gVJ5QJJSJ+ZMlSDq4eBSqVArtnKhqOF/L4/nys7h/DWrT0w+DRvCKYy+wBhgDaiOo349JtvIPP1JXjqPwFI33maNrH+6PzVZxilZfEagGZCEASUchnKRqSl10QURVyiiMMpYrbZiRl2BaOGXuExGIDbiLgQ3b87XCKIYLG7PMdUHSdeQL6EIFQbkSqqPJKaVIW0am9zH1djs0wQMNucrD6U79mmVSoI9VOjqpEVEqBToVe3wFfQbQDkCifKtm2pWLkK5PLaInAgpYAazp57XVWxnRy+lRObbRQGRWGVWeh9rbTe4bCW4R8WiquyAkEQ0GkqSNItJ+nuOTj8OrB/Qy57V2exPTeOfcI8Oq84Sbsbb6PsuyWEzXzSUwyk9tFjNVaewQBIWU5Kl9RYxlFaQYWvEl9VtcRIj5AevJvzLraYcPyuvZbi1FT0g1PQ9W+40X09FCroPxUSb4H8/bDhTUhfDavm1D5OroQhT0FUXyjPhb8WQOZm6QHQaQSKhJu5d9BYrkuK4I3/7oW0agXVDd8crWcA/jxSwJ/phfQWFLw0IRllnUyiqtqAc2E/bYEVp9DJBAZ3MjAurh0Hy018eSiPMe9u4KMpfekY2nz1NI78Q9hFOQFtJakY419bMf65jtAZjyI3GCg5ZaQox9jiTV/OhtcAXACff/458+bNQxAEEhMTiY2t1m9JT0/nwQcfpKCgAB8fHz788EO6dOnCsmXLmDt3LjabjaCgIBYtWkRYWBjPPfcc6enpZGRkEB0dzf3338+8efNYvnw5lZWVTJs2je3btyMIArNnz+bGG29kxYoVzJ49G6vVSmxsLJ9++il6vR5RFGsZhJpGpAq704WrRrjKJUrb6kawHE4Xzjrb7E4XVnv1xiqD5Gog/FVktHHvl9vrba+LWlHtsWiVcsL8NKjcFZ9KuYw2/hrUCsmqapQyIgxalHKBEF81Bq0KBFDJZUQatKiVMoL16no3DNwicNgqUcfFYc/ORjdwYP2QSFlW7XTNs6FQI1NaUTtdlJRX6wFZKisxhEfgrKhEptcjmKUexPgEoVDJSRoaRdLQKPIP57Lt/cXs296TA/L+dAjNJHLjRvxGjpA+F50Oi9HoMQA2Z3Vqq7FU8gB8kLJt7AXFlLbReDwAgIQQKdPpQNEB+syZjeXIYTKn3EnwA1MJmT69ce8RpLBP+xTpYa2U+hpkbwO7CbSBEPeP2oJnyXeAwwq5u+HgT1I46egK+O4e2oxPZd6/xvLd0kPk/SFlS5WdNnNkz2k6J0mFiPuyy3g6dQe3WaTZuedvKUBj5jY6fyVaPzWFWZUYwnzo3DcMY5mN7IPF5KWX4nKI3IiKCqPIi69u5rZb4xnRp3ni8criIxwXw4kOktY2ij5YgCIsjIAJkiR0VeFjawn/gNcAnDf79+9n7ty5bNq0ieDgYIqLi3n77bc9+++77z4WLFhAp06d+Ouvv3jggQdYvXo1V1xxBVu2bEEQBD766CNee+013njjDQAOHDjAhg0b0Gq1rF271jPWCy+8gL+/P/v2SQuPJSUlFBYWMnfuXFatWoVOp+PVV1/lzTff5Nlnn0UQqsNDAIrz9EYuFFcdI+MURShV8+OD1VooRquD0xVWyXsBXKJIUaWNUlP1ja3S6iC/3IrTrYtvtjtJyynD7rZEJpuDEtPZO1gpZAJad3Wwn0ZJuL+GAIWNj4BVe44j+oTSFjjYtT/Z6YXo1QqiAnzwkVlRm4pq1QCc/UQaZMpyVDY75opynA4HcoUCS2UFGr0vrtyT1UVgMgVoai9Qh8VFcN0/Sjj15+Ns83+do86bUfxyhKtGiO7qaV8cNityd62c1VmtZWRyewBaoRCzU4OrvJxivQZfZbUH0C1IikOnFabRv01/ot57j/QRIyl8733Me/YS/uwzqNqdpwSxWi89zuEloVBDdD/pMfx5yQismAVLp8BP0xmr8GFl/LscPSj9nVa+n8Zv46OIMGiZ89N+rrPUCc2U5yJDxFXPT5Vop96B1aUjwednOgYeRpZ8G46r2iHvMwFBWS0nIooiJXkmCrIq2Lk6C9+TFez95DDpa3MZe2Nnwjs0Le/etzKDPbIoOivlWI8dw7hpM8HTpyHTSNeQsauAsPZ+DUqcXCouawPw3LL9HMht3kYpXSP8mH19tzPuX716NePHjyfYra8SGFi9MFZZWcmmTZsYP368Z5vV3TM2OzubW265hby8PGw2W60UydGjR6PV1haDA1i1ahVLlizxPA8ICGD58uUcOHCAQW6ZX5vNxoABAy7w3TYPdbOcZEjhsPio5i9ksdid2J0u8sstVFjcDXPsLnJKzdgcLnJLzRht0vYSo42CSiunTTJcCBzJOsW3Ff2ZFNaFl3MMWD6sFkvrKMthlQpe3WKiIH8P4X4aIgO0JET6469VEmnQ1n6fCjVylYi6zAxqH4ylxegDg7CYjGj0vjgrKyQlUFNhtQ5QXQY/RviOVEaZxrFc8RYHrZ3RfHeUgTd29lQD4047rWkAjGVW1DoFarESs0VKDT2tc6JTVXsA/mp/on2jSStMA0AVHU3n7dsp/iyV4tTPODlxEqEzHsXv+usv7vqPTA4Dp0lN0bcuhCMrEDI3McJyO517TOXn3UMAWPj7ESplEBfmS98gX/IOuKuAN70LK55GEJcADcfNe027lzYhlXAiCPYthU1vSze2FY/C8BekrlxqPwSZ1Nsi0N9MXJ+e5OYY+Xz+bkzpFXz72k6iugUyaFzH8+qh4cFpJ9CaQ6FWqooo+vBDBK2WgNtuA6TmPQWZFQy8sX5m46XksjYArQ2Xy4XBYGD37t319k2bNo1HHnmE0aNHs3btWubMmePZp9M1XgRKFEWGDx/Ol19+2RyXfNmhUcrRKOX4as6zyOxFH6b2CueWKyYjMpmrrE6yS0yUWxzklJox5BbCAXDoI1lz6DQlJhs1HRs/jYL2IXrCfNX0iDZwq1WGoHChrjSDwYeKoiKUGi2IIlq9Hld5BTJfXylDRncGl19rgBvmI1s6maGRP7Jicw92rRxE+x5haN3VwKLbQ6oZAjKV2dD5q1E5zVgt0k0x38dOtLL2jat7cHd25O/wPJfrdYQ8+CD6K4eQ9/TT5D7+BCWLFhPx6iuoYmLO7/M8X1Q6aQF50ENQnAHf3El4zifAEACmlmuJvD+Oq7qEsuGjGjLWK54G3zbICuU4HbWHDI7SU5hVKYkQ+hsg6RbpUXgMFt0kSXuvfEZ6KLSS52Ipg8p8CGhPRJskHh/dh7eKh7FlZSbOA8VkH9zGVRPiiB9YW1n3nJScRI6LSl077Pn5lC3/mcAJEzxhxvRdUrguthWFf+AyNwBnm6lfLIYOHcrYsWN55JFHCAoKori42LPPz8+P9u3bs3TpUsaPH48oiuzdu5ekpCTKysqIjIwE4LPPPmvUuYYPH878+fP5v//7P0AKAfXv358HH3yQY8eO0bFjR4xGIzk5OXTufOk0xS8LVDoEu5EgvXsWqYfooOrCKnb8CQfg6dtH8LQhClEUOVlk4mBeOSUmO/tySskuMXP0dCUrDuQTraykk9WC2ugCglix7TDty6TQVZUHoAwJBWO65AGciW5joPBpdKtfJNFZRpEjiS2L95A8VNrtNEkV73U9AJ2/CnWJGbtJBdjJ0lmIV9aeSCSFJPHL8V84UXaCGP8Yz3Zt9260/+F7Cue/R+G775Ix+gbCn3sOw9gxF/rpNh5BgKBYuOcPNAeXMfSbxaw+dTsA5tQ/sSVuxXWyE+DOpLl7JbTtg/DwOnDU1o665r7uZOwuxDeoTkgluCM8+BfYzXBsFZRmwvE/pbUJ3zZSZ7a8PWAuQXbgBx7maazhQewytWN/+WRWfy5iLLXRY3gUisZmdRRLmk5Wv/aU//IrOJ0E3HarZ3f6zgJCon3ryb5fai5rA3Ap6NatG08//TRXXnklcrmc5ORkYmrMnhYtWsTUqVOZO3cudrudW2+9laSkJObMmcP48eMJCAhg6NChHHdr0Z+NWbNm8eCDD9K9e3fkcjmzZ89m3LhxpKamctttt3nCS3PnzvUagHOh0nm6cTVIaZak2e8rafMLgkBMsI6Y4KqbanVpf4nRhmXpUlwnMzE6pZvSN5uOUry9kJuAuauzeDi/GGVIW9qaixH8E85+bVc8jFBwiMjin2iTsYmT8quJmPEsRAci2KTxay0Cl1kxhAWgLrJgNysAO6d8nfira1fFpkSm8DIvs/XU1loGoOr9hfzrQXT9+3Fy0mTynnwSmc4HvxEjzn6tzYVcCd3HITMOhE+lxvTF1nC27Q0FsYb6aVTfBl/esXco/iE+JA8/Q/MahVp6JLhVOVMeqb3fZpLWZv47FhBRI9D/5Ab6GPawsvQR/voJjm3PZ/RDyY2q2HUVHpMqEwJjqVz6PurOnT1eVUWxhdMnyuk/puGCxkuJ1wBcAJMnT2by5MkN7mvfvj2//fZbve033HADN9Sp9gRqhYIAhgwZwpAhQwDQ6/UNegtDhw5l27Zt53/hf2dU+rMbgKKjYIiWmqacgwCdCoL8KdW4UDql+Pn0lLZYtAaOfQlaPwOuikpWZBqJjigkTyUQYbRJr2sIuRLGLkSbsZYo82FOCiOwitJM0WWvvQYgilIVsI+/CjUWnEYZQnAQDkUZBnXtNZe2vm0J1gaz8/RObo67ucFT+/TuTcc/VpF5z73kPDoDx+OPEzDhjharC4lJCEKulOG0S96TydAbpY8ajtee7bfrHsTR7VIY5ean+hAY2UTtfJXb+7vz5+pthccw//wUIzLe4KhlK6vz/sWXz29h/Mw+55y52/KPYBV98PPxw7xzpyfzB6TFX4DY5NAzvfyS0fo7LHjx0hyodGCr37zFQ/5+SaKhsSg0yOQ25C4pa0cvc9BOK93E3ppyBX5OC/0S2qETTazPsjH4tTU8+2MaJUZbw+PJFdD7biLCpDaVzv7STNxRWo5MkHkMgMVox+UUUfuq8MGCyygihkkhJn9VbQ9AEASSQ5PZlrcNp6v2DbUmyjZtiPlyMbp+/ch/8UVyH30Ul6m+BPXFQO2j5PbZ/TzP8/MVZB+vf61DJ8dz1cQuDJscT0i0b5NURs9IcEf0E7/k5D37WKGPZlzgkzjNJn79YB8W49mzz5yF6RwX2xCZl45ot6MbUF1vkb7zNEFt9RjCfM4ywqXBawC8/D04WwjIZoKidAg7PwMgl9kQAJVajcVoxFhWCoKAGgGcThLiI1Fj48YBXRneLYxFf2UyZN5aPlyXgcPpqj/mVU8R0HMwAPvNSQCYjhxBLVd7QkDmculGpNDK0WFBrHBgC5Vm/n7q+to6w6KHcdp8mh+O/VBru9VpZeb6mdyz4h4+2/8Zcj8/ot6bT8CkiZT/8ivHbxqPtYFeBReDM82ue11TnaaqUMrpOiiCLgMuctN6mZz2UW0Zce/LLJH3ZITfqxTnlLPsnT1YKs9sBOSlGRwXwwk6mgZyOdqekqJqZYmVvPQyOvZsXYu/VXgNgJe/Byof6UbfEAUHARHCziOpQKFB5u4zrFKqsJmM2MwmVBoNYrmUmizXSYuTIcEhvHlzD379dwpJUQZe/OUgtyzcQnZJnesRBBSjX6N9rAOQspwyjlagkquqPQB3HYRMI0eLFSrsmIOl7J+6ISCAa9tfS4Qughe2vIDFUS2h/u6ud/k542d25e9i3vZ5bMrdhKBSEf7UU0R99BHOsjKOjxlLydKlHmXOliS6ayD9x8Se+8CLRFy4L6HXPUORsoIhQQsoyq7g29d3YCpvwIOzW1AbcznuaoNm/y403bt5KrqrRAJje7a+8A94DYCXvwtnWwPI3y/9PC8DoEamkGbxKoUSi8mIzWxGpdHiKJFy2OU6d6qqu8F85zBfPr+rL2/d2oPDpyq49q31/LIvr/a4Si0jH77aHYNXUGxRopZVewDWqlCESobGbAOXSGWgNIOuuwgMUhhodMfROEUnb2yXCg93nd5F6v5UQrQhrL1lLSHaED7Y84HnNforBtH+u29Rd43n1DPPknHtKAoXLMBlbPjzc1mtlC3/mcKFH5I7axbFn3/Oqeefp+jjTzD+tRXRfvbwCdSvjr3oM/1GcGufKHaGjCFevpLrAp+nosjMH6kHEOsUPlJ6EgGRTGcIroMHajV3Sd95msAInUcC+5TxFFvztrIsfRlvbH/jkhjXmngXgb38PTjbGkDeXslAGGIaP55Cg1wl/fMq5QqsxkoUKjVKrQ/OEkmkTa51z680tUMzN/SIJDkqgGlLdvHAop1MGRjDrFHxKNxxbblCRv9REaxdpALRjgafGmsA0qKwqBCRm6VYeWmAZGgaMgAA9yfez2/Hf2PJ4SUcLT3qqQ34aMRH+Kp8uT72ej5J+4RCcyHBWqnAURkWRrtPP6Xkyy8pWfIVBf/3FpVr/8Qw/iZ8+vVH1TYS0enEvHs3OQ8/guN0dROYsjrnl/n5ETZzJoZxY8/4cV49pSsLd/3pea71vfBmQs2FIAhcNf5Bvpq/jVvka7liQCl/rhfZtTKTniNrVFGXZgIgMyrB4UDbTZpImMpt5B4rpfe1MQCcNp1m8q+TyTXmel7aPbg7PUN7EqAJQC7IW1yUscUMgCAIOuA9wAasFUVxUUud24uXs64B5O6SmrQ0VK17Jmp4AGqZnIqKClRaH1QaDc4qD0Dr/mduIDYfHeTDN/8cwCu/HuLjDcepsDiYNz7RcwPwCfJHEFSIopVAc6DHAFirpDAEK06LlKNerBPR2rSo5Q1XyipkCr649gvuW3kfO/J3EKAOYP6w+XQwSGmJI9qN4JO0T/ho30fM7DvT8zqZjw9Bd99N0N13U7JkCadefAnz7t0IajU+/fpiXLceAGVkJFELP0ARHo4yIgJL2n5kOh0yHy3mffso+/Y78p56iorffydg4kR0gwbWu9Ep1XL6j+nAlh+kRXCdoXWoZXYMD+Dt+NmMOLyDTpqVZPd8gC0/ZhAe61/df6JUkq4OMkkGWR0v1TBk7C4AETr2DCWnMoebl91Mua0cf7U/AeoAsiqymPHnDM+5xnQcwwuDXmjR99ekEJAgCJ8IgnBaEIS0OtuvEQThsCAIxwRBqPpGjQO+EUXxXmB0U87rxct5o9KD0wrOOuEIhw1O7Wu8CFwVCg2CHFAoUIlgqazwhICc7r7ACpU7m0XTcOMTpVzGM9d15aGrO/Htzmxe+a1aVllnUIGgBmyEFPt4QkAWox1BJuByGXFapX/fIpUVP9WZm6uA5B18OvJT3hzyJn/c/IdHLA6gW3A3BrcdzPrs9Wd8fcCttxK3YzsdfvkZ32HDMG3bjszPj+AHphLzzVL0gwej6dwZuV6Prn8/tAndUcfGYhgzhujUTwn593TMe/eSdc89ZN55FxWrVtU7R82GPo3pGtZS3J3Sgc2ueFyHf+OqOzrhF6Th94Vp1esBpVnYURJRUYrg4+PRWDry1ykCwn0IjNDx+f7PMTlMfDryUzbcuoFlY5fx/KDn0deo3v7h2A/M2jCL+bvnt9h7a+oaQCpwTc0NgiDIgfnAP4CuwG2CIHQF2gJZ7sPOnJP2N8PhcJz7IC9Np0onp24YqOCgZBgie57feAq11LhH54PS5ZIMgMWMUqvFWVKCoFIh4F50bcADqMm/h3Xijn7RfPBnBisPSBLahlAftwdgI6iwehHYanSg9lHgslTitEn/vqeVlgYXgOvio/RheLvhKGX1wysDIwaSWZFJeumZM39kKhXqDh2IfPMN4nbuIG7rX4RMn37ORjOCXE7w1Kl0/HMtYU89hfXQIbL/NY0Tt9+Bo0YlvcIt4lezpWdjEEURR0kJ5b/+irPyLLUeF0hSlIF9AVejtRWhytvANfcnYDHZWfPFISmGX5rJaSGIdsXZaOLjEWQyinON5KWXET8wgu+Pfc9Xh79iVPtR9A6vXh8YHTuazbdvZsl1S3hv2HsA/Jj+Iwv2LGB/4f5mfx8N0SQDIIriOqC4zua+wDFRFDNEUbQBS4AbgGwkI9Dk815qPv/8cxITE0lKSmLixImcOHGCoUOHkpiYyLBhw8jMlGKCy5Yto1+/fiQnJ3P11VeTny/9c8+ZM4eJEycyaNAgJk6cyP79++nbty89evQgMTGRo0ePAvDFF194tt9///04nU6cTidTpkyhe/fuJCQk8J///AeQCsieeOIJ+vbtS+fOnVm/XprNWSwW7rzzThISEkhOTmbNmjUAjBo1ir17Jc2V5ORknn/+eQCeffZZPvzww5b7MFuKqpuwpY54YO4u6WfE+RoAKcNH7qtDZXfgcjopPZXnWQSWBwQg2KSOXVWLwGdCEASevb4r3SL8eOybPeSXWyR5A0EFohV9payWB6D2UeC0VuK0CqCQU4zxjPH/xjIyZiQKQcFP6T816vgLiVXLVCoCJ02k04b1hD7+OJa0NDL+cS15zz2HKIrIlee+LViPHaPwg4Xkv/IqxV8sIuvBf3G4V2+ODhhIzsOPcPzGcZjd6rnNSVzKTRSIfpSufovgtnoGjInlxN5CDm7Mg7IsslzBBJ/OQtOlCwAHNuQikwsEJcl5YcsL9A7vzZP9nmxw7G5B3Uhpm8L05OmMjh2NVqHl1p9vxV7XW70IXIw1gEiqZ/og3fj7AW8D7wqCMApYdqYXC4JwH3AfQHT0Gcq8LyENyUFXVQZPnjyZTz75hOnTp/PDDz80WgJ62rRp/Pvf/+aOO+7AZrPhdDo5ePAgX331FRs3bkSpVPLAAw+waNEiunXrRk5ODmlpUtSttLTUc20Oh4OtW7fyyy+/8Nxzz7Fq1Srmz5+PIAjs27ePQ4cOMWLECI4cOUJKSgrr16+nXbt2KBQKNm7cCMD69etZsGBBy3+wFxute5ZqLoGAGgt4BYdB6QMBMec3ntsAyPRaAuwufINCcDrstI3vjnP/j8gDA6uNjdr3LAO5D1HIeee2ZK75v/W8/cdRXhybQKdeERzZWojWJHg8AEkHSI3TUojDKkPQ6yi1lRFraFrKZLA2mF7hvVh1chXTk6cjl108LXFBoSDorjtRRrXl1Ow5lH65BE3XrsiHXAc0XBcgOhzkznyS8uXLpTFUKkSbZBT9x41DERKC3M+P4i++4MQtt6Lt0QPdwIH4j74eRXAwLpMJ0WpFGRmJ7cQJKlatIuC225A1UohxZFIMH/w0kodyl0LhUZKGduRkWhHrvz5Cm3ALOZUGutqKUXVoj6ncxoGNucT2DOWLE5+BCHMGzKnVr6Eh7k2UOuAObzecVSdXtciCcIstAouiaATubMRxC4GFAL179z57jtSvM6X4bXMSngD/eOWMuxuSg968eTPfffcdABMnTuTxxx8HGi8BPWDAAF588UWys7MZN24cnTp14o8//mDHjh306dMHALPZTGhoKNdffz0ZGRlMmzaNUaNGMaKGdsu4ceMA6NWrFydOnABgw4YNTJs2DYAuXbrQrl07jwF4++23ad++PaNGjWLlypWYTCaOHz9OXFxcc3ySrQutO0RiKa29vSgdAmNrNzVpDAopTCHXaQkwWrgv9WvProz5C1G2aSMpT6p8JUnkRtAhRM/Nfdry1bYsHriqIwqNBlF0orbIsLpz+CuLrbTp5I/LasRpkyH4+VJmLWuyBwBwQ+wNPLXhKTbmbmRw28FNHu9c+A0fjv7KK8m69z5OPfMsmp4/kGjoSdJ142odZ8vMpDg1lfLlywm8+y6C7roLeWAg1qNHEW12tN2r03cNN46jKDUV05a/KJw/n8J33601ljIiAkdpKaLJROWf6wi8cwr6lBQE5dmzjrQqOYfb3og973uUW95HuO5Nhk2OZ8nzf7EqbyKV1rUAqGJi2Lr8OA67i3ZDdTyxYSljOo2hrW/jm84MiRrCkKghjT6+KVwMA5AD1OwY0da97W9HYyWgb7/9dvr168fPP//MtddeywcffIAoikyePJmXX3653rh79uzh999/Z8GCBXz99dd88sknAKjV7puSXH7OtYU+ffqwfft2OnTowPDhwyksLOTDDz+kV69ezfDOWyFVDVnMdQ3AsfOTgKiiKgSkU2MrLKy1y5GXhza5B1jzz7gAfCamDunIV9uyeG/NMa5SKgEHSrsSq10qGjNX2PDxVSHaKnFaZQht/CizHq8nA3EhXBNzDS9vfZnl6ctbxACAFBaKWvA+OY89RuWqPwhmJ6d2fkNRdDTK8HCsR45gc09m/MeOJXTGDM/MWNOAAKLcYCD0oYcAsKanY9q5E2dxCYJchqDWYNq6FVF0oQgIoHTpN5i2bUOTmIgmPh5Vu3bohwxB1T6mwdl3cnxnvsq6kgnbP4bYoejjr+Oq0Xp+/6oDosufYoOJ4gwd+zfmkDQ0iu9Of4mAwP2J91+0z6+pXAwDsA3oJAhCe6Qb/63A7eczgCAI1wPXd+x4juYJZ5mpXywakoMeOHAgS5YsYeLESkfVfgAAIABJREFUiSxatIgUd6/ZxkpAZ2Rk0KFDB6ZPn05mZiZ79+5lxIgR3HDDDTz88MOEhoZSXFxMRUUFOp0OlUrFjTfeSFxcHBNqiE41REpKCosWLWLo0KEcOXKEzMxM4uLiUKlUREVFsXTpUp599lkKCgqYMWMGM2bMOOt4ly01Q0BVOB1SCl/X+iJ958TtAch81LjKqtcVXGYzzrIylOFtwHLknPH/ukQatNzcO4qvt2cxoJ0AopOSgOE4LVtxOlw47C7UPgosRskDsOnVOERHk0NAAEq5khs73Ujq/lRGxoxkWLthTR6zMci0WqLefRdHcTHly5aR/+prOPfuxbJ3L7qUFAy33oLv1cNRtY08r3HVsbGoY2t/LoETpf8X0eVCP2QIxs1bqFj9BxW/Z+IsLeX0a6/he801+I8ejaOoEMNNN3mMweDOIdzwy0SuN5zAf+NbEH8dsSEnuMawgF+LZ7C7x79hYzEde4fSf1wHnv9hDYPbDiZcF948H9RFoEkGQBCEL5E6OgQLgpANzBZF8WNBEP4F/A7IgU9EUTyvJW1RFJcBy3r37n1vU67vYtCQHPQ777zDnXfeyeuvv05ISAiffvopQKMloL/++mv++9//olQqCQ8P56mnniIwMJC5c+cyYsQIXC4XSqWS+fPno9VqufPOO3G52yY25CHU5IEHHmDq1KkkJCSgUChITU31eAopKSn88ccfaLVaUlJSyM7O9hiv/zkaCgGVngSXA4IuoEtTlQegVeKsqEAUJVE4+ympYbmyTTiUlJ8zA6ghHriqI19uzeRwoZmqhLm2uYnY3N3BVFol1lLJAzD5Sgqj7fzOs73jGZiWPI3lGct5fsvzDIkaclHXAuqiCAwkcPJkAu64A8uBAzgrKtAPGnTuF14AgkyG77Bh+A4bRvispwGwZWdT9OFHlH71FRVuRV9lRITnGuLCfDH4+bJb3p0rC9aCywUFh4nRbMfn6Cd0Dgwj4tlniEkMZkf+DvKMeUxNmnpRrr+5aJIBEEXxtjNs/wX4pSljt2YakoNevXp1veMaKwE9c+ZMZs6cWe+4W265hVtuuaXe9p07d9bbVrOXcHBwsGcNQKPReAxSXV544QVeeEEqPImIiLjkZekXFaUPyJS1Q0DFUtERQRcwe3b3mpX7KMHpxGU0ItfrcbgNgCIsHPLKQB923kNHGrT0jgnk2BErHXFJxsUhYHUbALVWTqV7DcDsNgAh2uYRG1PJVQyLHsZXh79iVeYqRsaMbJZxzwdBoUCbmNji51W1bUv4009h2rEdZ2ERzvJyij/7zGMABEEgpVMIa/a34UrKpO/P6YOUqtvQtvIU0d1CiUoKQRRFXtjyAsHa4Evy+Z0Pl3U6phcvjUYQpDBQTQ+g6Jj0M/ACDECVB6CR5lCuMkkAwZ5XwwOwXJgHAPCP7uGcNlat4zjQG/VYTW4PwEeJYCoHUeC0woRMkBGkPUvXsfNkZt+ZBGoCmfHnDE4ZTzXbuJcDgkpF+2++oePaNYRM+xfGdesx12jxemXnEDZbY6QnG/8DmVtIV8QRbixC3V7anmfMI6Msg7u7342PsvVJQNekVRoAQRCuFwRhYVlZXVURL16agNZQew2gKF26QeuCz3+sqjUAjfQv5HQrgNqzs0EmQxkeDtby814DqGJkt3Acgjv8IjrxsampKJU6Zfn4qpCbpRqDE7ZT9A7rjUp+7q5VjUUhU/BM/2cAuGnZTRSaC8/xioZxuByex+WETKNBptEQMHEiiog25M58EpdZ+uyv6BjMMdpileth1xdgPE1aZXsULqenA9iegj0A9Aw7z9qSS0CrNACiKC4TRfE+f/+mZzZ48eJBG1AnBJQuhX8uJN+6ygNQS691uheCbVlZKMPDpbRCS/l5ZwFVEWHQ0iZQqh/QmE+hsamoKJUygXz8VcjN0u+FVBLlG3XGcS6Uq9tdzeN9HqfMWsb1319PZnlmo1/rcDl4ZuMzJP832fPYnLu52a/xYiPX64l46WVsJ05Q7E7iCNCp6N42kMf8XwdtIIR2Y0ehlOJZ0wBoFVo6B7T+Nq2t0gB48XJR0BjqhIDSLyz8A+Ceccs1bgNQLnmrtsyTKKOjpYbkLvsFh4AAOrWRFq5lTjNqh4rywgoEwW0ALJLkQRFGQnwuTrORiV0nMqnrJCrtlYz6fhSfpjW8llSFxWGh0FzIw2serteA5r6V93Gw6OBFuc6Lia5/P3z69aPshx89a2RXdgpmeZ4/ZQ8exHnfnygLJCVUjwE4vYduQd1QyFq/2HKrNADeEJCXi0LNEJDDCmVZF7YADJLXoNCg0En/Qo4CqfGHPTMLVVSUFP6BC/YAAGLCJA9Y5rSicqopyy3BN0iDXC5DYZVCEhalSKjPxWs28mjvR3njSql6/c0db/Ld0e9q7TfZTewp2ENWeRb9Fvfjqq+vYm32Wvq36c/2CdtZedNKloxaAsBDax667MJBAP6jr8d24gQl//0vAFfGheASYUNGCUUmJ20qCnBodcgDAymzlnGo+BBJIUmX+KobR6s0AN4QkJeLgjYAzO5JRckJEF0X7gEAKNTINYBCgSP/NM7KSpwlJSijo6plIDTnFmk7E7Fh0msFrChcKiqLzZJGEKCwSQbAqhII8zn/TKPGIhNkjIgZwRfXfgHA7E2zeX6zpBtltBtZuHchE36ZwLXfX4tLlFKTPxn5Ce9d/R5quZpwXTjdgrsxZ8Acco25LNy78LLLNvO/4QZ0AweS/9LLmHbtIqmtAV+NgnVHCsgrsxBZWYArMgpBEJi1YRYA17S/5hyjtg5apQFo7bz99tvEx8cTEBDAK6+0fDGalwtEYwBrGbicUvgHLqwGoAqFBsFlRREagiP/FLYMKa1UFRNT7QE0IQTkp5ekQlzYkWHAanSi1btDTzZ3gxglBGoCL/w9NJKkkCRm9ZNubkuPLCXhswT6L+7Px2kfe46Z2XcmeyftpU94n3qKo+M6jSM+MJ7397zPJ2mfXPTrbU4EhYK277yNoFRSsWoVCrmMKzoG8+eRAvLKzLStLEDRrh0llhLWZq/lroS76BLY5VJfdqPwGoAL4L333mPlypWUlJQ0mL/vpZWirSEHkbsTBBkEd7rw8RRqcFhRhoVjP5WP5cABADTxXSUdIGhSCEiukG6iFoUa5AZMFVo07jaTSrtbHlrJOXsBNBe3dLmF1GtSua7DdbW2Xx19Nfsm7+OO+DvOKGAmCAKvDJYmS/+38/9Yl73uol9vcyLT6dB0747pr62AlA56qtzCprRsQs2l+HbuyM7TUn3OFZFXXMpLPS+8BuA8+ec//0lGRgb/+Mc/+M9//sO//vUvAKZMmcL06dMZOHAgHTp04JtvvvG85vXXX6dPnz4kJiYye/ZsAIxGI6NGjSIpKYnu3bvz1VdfARATE8Ps2bPp2bMnCQkJHDokNQkpLi5mzJgxJCYm0r9/f4+Uc0JCAqWlpYiiSFBQEJ9//jkAkyZNYuXKlS32uVwWGNzqssUZcGwVtO3bpBs0Cg04LCjCw3CcOoXlwEFk/v4oIyOqDUATPAC5SrrZ2xXV+vhqnbSwKHf32bWoWs4AAPQK68XLKS+z+bbN7JiwgzU3r+G1wa816rUd/Dvw4w0/AvDgHw9edqEg/ZAhWNLSsJ86xeDO0sL75jVSe01Dl84cK5HqSi6X2T+0UgPQmheBFyxYQEREBGvWrCGgTiOMvLw8NmzYwPLlyz2ewYoVKzh69Chbt25l9+7d7Nixg3Xr1vHbb78RERHBnj17SEtL45prqmOGwcHB7Ny5k6lTpzJv3jwAZs+eTXJyMnv37uWll15i0qRJAAwaNIiNGzeyf/9+OnTo4OkDsHnzZgYOHNgSH8nlQ1XT94y1Uh+Ajlc3bbwqDyA0DPvp01j275cagghCsywCK9wegAuXZ5u/WvqfkNulxVSrEnxV55abbm70Kj0quYpgbTBKeeP793YwdODRXo8CkPh54mWVGeQ3cgTIZBS+v4AIg5aOoXraVkoZQOqOseQZ8wjUBKJV1Jezbq20yjylxmoBvbr1VQ4VHzrbIedNl8AuPNH3iQt67ZgxY5DJZHTt2tXT/GXFihWsWLGC5ORkACorKzl69CgpKSk8+uijPPHEE1x33XW1NHhqyjpXyUxv2LCBb7/9FpAE6YqKiigvLyclJYV169bRrl07pk6dysKFC8nJySEgIKCW4qgXwNBOkmfe+oH0vGMTxc48HkA4otmMZf9+Qh76t7TPswh84YkMcrdEsRMnVbfYuOg8aZ/bACh99C2q19Mc3Nj5Rt7YIWUWvfjXi54F5taOKiaGwIkTKf78c4LunMLs67uyZ8ePIJejiooiJz2HSP35CdZdalqlB3C5UiWyBnjcW1EUefLJJ9m9eze7d+/m2LFj3H333XTu3JmdO3eSkJDArFmzPB25ao7TGFnnwYMHs379etavX8+QIUMICQnhm2+++d8VdWsKgiB5AcYC8I+WGsE3BYUGHFZ8hw31bDLcfLP0i7VcWmNQ6c/w4nNTZQBEoTpUIqvMBYcNwSnikIOPtuXCP82Fr8qX70Z/h6/Sl/1F+9l2aluTxttTsIcTZSea5+LOQeBdd4IoUr5yJSmdQhgT6EAVHY2gUpFVkXVRivIuJq3SA2gsFzpTb0lGjhzJM888wx133IFerycnJwelUonD4SAwMJAJEyZgMBj46KOPzjpOlazzM888w9q1awkODsbPzw8/Pz8KCwux2Wx06NCBK664gnnz5vFunUYYXtyEd4esLZA4HmRNnP8ofaDyFKroaNr/+CPO4iIUge6MHEuZ1AmsCV2dqhaBbWornqBCxSmwVeJyCNiUQovG/5uTTgGd+GnsT9z5251MWz2NNTevaXTo5FDxIeZsmsPYjmMptBSyYI/Uwe7mzjdzT8I9tNG3uWjXrQwLQ9OtG5Wr1xB8771YMzJQdeiAzWkjz5jH9bHXX7RzXwy8HsBFZsSIEdx+++0MGDCAhIQEbrrpJioqKti3b5+n3+9zzz3HrFmzzjrOnDlz2LFjB4mJicycObNWf4F+/frR2d0cIyUlhZycHK644vLJRGhRIntLM/PE+iqr543GzxPq0cR1RjdgQPU+Szk0sUuXxwOomeZfcQrMJbgcMskANGGR+VITrA3mru53YbQbufKrK9mZX1/lti6VtkqeWPcE+4v2M/evuZ6bP8DXR75mxLcj2HV6l2dbdkX2BS82O1wO5m6Zy478HbW266+8EvOePdhzcrCdPIk6Npacyhxcooto39bXxvZsCK1xJb5GQ5h7qxqkV3Hw4EHi4+MvzYV5aTSt9u/kckp9AAI7NH2snx+FtO/giQb6PHx5G5RmwdQNFzy8qbyM9++9A1X/EcgOS13LHuw+E0a/Q/bdt3DUqOe7F67inWHvXPA5LjV2p51H1j7C2uy1AIztOJbnBz1fa//6nPV0C+pGua2cx9c9zrHSY7XGeLrf07y5400cLgd2l5QdNarDKJJCknjpr5fQKXXck3APYzqO4bTpNKlpqbTzb8cNsTfQ1rctdped+1feT7/wftyfdD9ZFVm8uf1N1Ao1P2f8TKQ+kt9u/M1zPsvhwxy/YQyKkBAcBQVEp37K9kgr/1r9L7649otLXgUsCMIOURR7N+bYVhkCas0NYbxc5sjkzXPzBynF01oOolg/1NMEIbgqZO7FXYOvL56eY4WHoTgDl0PAqhLQKi+fjJOGUMqVvDPsHYZ+PZQCcwHfH/sehUyB0W4kUh/JadNpfkz/sdZrwnzCmHflPDoHdOZIyRF6hPbglrhbyDXmcs23Ujbdzxk/83PGz4BUsfzWzrd4a+dbtcb5I/MPnC4ndpedrIostp3axr2J9zJ/93xWZa7yHJdTmUNGWQYd/KXvjSYujsC77qL4k0+QGwz49OxJ5jEpjfty8wBapQHw4uWyQOMndRSzm0FVR/fdUgb+jW8E3hCCTDIqfmol2tyfcQZIs1vydiM6BMwa8FG0br35xpJ6TSqjvh8FSJXGNYnUR5JTKbUVf+PKNxgRM8Kzr0eotJAvCAKR+kj2Td5HVkUWW/O2MmfzHAAGtx3MuE7jWLh3IQeKDjCx60TyKvNq3eSrSPq89ux9Ru8ZzNs+jy25WzwGACB0xqOoYtqhiYtDUKnILM/EV+mLQX3h0h+XAq8B8OLlQqmKv1vL6xsAaxloujZpeMG9SO2nUVJe+StBFl9oD2LmZuwOORaVeFnlnJ+NaL9odk/czdClQym2FNfaN6nrJDbmbiS9NJ2r2527diPKN4oo3yj0Kj0xfjHEBcYBkiFYm7WWIW2H4MLFu7vexWg3oparOVB0wFPJC/BM/2eINcTSM7QnqftT2V9Uu6utIJMRUJXxBWRVZBHtF33GSujWitcAePFyoVTl+FvKwLdO4+8mdAOroupm4qOUsz5Gzk2byrElylHl7cHmiMD0P2QAAOQyOX/e8ieiKPLon4/SRteG9TnrGRo9lNu63IbZYUYmND5vpW47RqVMyfB2wz3PH+39aK39G3Kk9Zo2ujZ08O/g+fw7B3TmaEnttciauEQXB4sPXlYSEFV4DYAXLxeKxwCU197udEhGwadpbRqFqpud6GJ3ezXjNzmwWQJQ6Qtx2OWYVa5W33LwQhAEgTeHvAnAY30e82y/2O/1TDfwjoaOfHX4K5wuZ4NFd8dKj1FsKaZPeJ+Len0Xg1aZBtqapSC8ePHgCQHV+Z6aiwHxwlpN1qAqBCSKIqV+kgqoXSdlVgl2EZOa/ykPoLXSKaATVqeV7MrsBvdXFbL1De/bkpfVLLRKA/B36gcwZMgQtm/fDsC1115LaWnpOV7hpdVQleVjqWMAjFJzGHRN69RVtQgsii4q/TSYVXLMsm5UDngChdOFWSX8zywCt2aqxN025mxscP/egr2E68KJ0Ee05GU1C63SAPxd+eWXXzAYLq8sgr81ZwoBeQxAEz0AdwhIdLlQKnzYG6XHvHMPZV3vAcCs5rJPA70ciAuII1Ifyfb87Q3uLzAXEKG7/G7+4DUAF8SJEyfo0qULU6ZMoXPnztxxxx2sWrWKQYMG0alTJ7Zu3YrRaOSuu+6ib9++JCcn8+OPUi6z2Wzm1ltvJT4+nrFjx2I2mz3jxsTEUFhYyIkTJ+jevbtn+7x585gzZw4geQwPP/wwvXv3Jj4+nm3btjFu3Dg6derkqSb2Sk23EDWzgGpiLJR+NtUDEAQQBERRxEeh50SQHFtmJjZ3+0mT+n8nDbQ1IwgCcQFxZ1wILjAVEKRt2nrPpcJrAC6QY8eO8eijj3Lo0CEOHTrE4sWL2bBhA/PmzeOll17ixRdfZOjQoWzdupU1a9bw2GOPYTQaef/99/Hx8eHgwYM899xz7Nix49wnq4NKpWL79u3885//5IYbbmD+/PmkpaWRmppKUVGRV2q6pVDpQJBftBAQSDcf0eVCr9STGQqIIvZ9koE2q7xrAC1FlG8Ueca8BmUlisxFhGib/re+FFzWWUCnXnoJ68HmlYNWx3ch/Kmnznlc+/btSUhIAKBbt24MGzYMQRBISEjgxIkTZGdn89NPP3lushaLhczMTNatW8f06dMBSExMJDEx8byvcfTo0YA0Q+/WrRtt2kjiVx06dCArK4uEhASv1HRLIAhSGMhcZ93GWCAZhib0A64+hQzR5cJP7UdmqNQXwLF3DwJSCEin9P4dWoI2+jZYnVaKLcW1ZvsWh4UKe4XXA/i7UVP6WSaTeZ7LZDIcDgeiKPLtt996ZKAzMzMbrY2jUChwuaqbgFgslgbPXfO8Nc/tlZpuQXyCwFRUe5uxQIr/N1VtFOlvKooiBo0fpwNtiGo1YprkAZjUQov0A/aCJ8afZ8yrtb3QLIX7vB7AJaAxM/VLxciRI3nnnXd45513EASBXbt2kZyczODBg1m8eDFDhw4lLS3NE2+vSVhYGKdPn6aoqAi9Xs/y5ctrhXHORW5urldquqXQBdc3ABWnQB/aPOPLBFwuF0Faf0SlDWtkezQZUizapIYgzeU587zcqNL5n/zrZHZMrA7bVhmAYG3TFvwvFZe1AWjNPPPMMzz00EMkJibicrlo3749y5cvZ+rUqdx5553Ex8cTHx9Pr1696r1WqVTy7LPP0rdvXyIjI+nS5fx6jO7bt4/HHnsMmUyGUqnk/fffP+vxc+bM4a677iIxMREfH596UtNOpxOQDMWTTz7plZquiU8QFKXX3lZ8HEKbpy+sTCYD0UWITgonlYVHoMk4igsoD/Q5r3aMXi6cWEMsarkaq9NKobnQc8MvMkvG/3I1AIii2OoewPXAwo4dO4p1OXDgQL1tXloff5u/00/TRfG12OrnTocoPh8siiueaZbh35lys7j60w/Ebw9/L3ZP7S5++fgs8UBcF3FHt65iyuKrmuUcXhrHtrxtYvfU7uK6rHWebYsPLha7p3YXC0wFl/DKagNsFxt5r22VawDi36gQzMtljk8QmIqhas2mPAecNgho3yzDC4IUAjK4i84yA6T/CYVLROPNAGpROgV0AuBIyRHPtjxjHkqZ8rJdi2mVBsCLl8sGn2AQnWBxZwIVu5vDNFPPAcG9COyr8gXgcJAftsh2fHhlG28KaAvjr/anja5NLQNwqvIU4brw8xKpa01cnlftxUtroarat2ohuDhD+hnYTB6Aew2gqvfvKcHOiTc+ZlWCDq23CKzFqWpCU0WuMfeyrQIGrwHw4qVp+Lhd/6rq39MHQaUHv6Y1g6miKgRUZQCMjkrsThFBZsPH6wG0OJ0DOnOs9BhXfnUl2RXZZFVkEekbeakv64LxGgAvXpqCj9sDqKr+zd8PoV2bpQYA3CEgV3UIyOyswO50gcz2PykF3dqpai5TbCnmu6PfUWwpJtY/9hJf1YXjNQBevDQFg7sHbMkJqTdwfhqEdWu24asqgXVKHVohGIv8CHanC0FmRec1AC3O4LaDmdx1MlDdujLW4DUAfxtKS0t57733Wvy8P/zwAwcOHGjx83o5Bz6BkuZP4REoy5IWg5vTAMgERNGFIAgEK2NxyouwOVwIMptXBuISoFVomdFnBqNjR1NqlRb+vQbgb8TlZADOJfXgpZkIjoPCo5C+Wnoe03yFclVZQAC+ygCQVWK2OUBmQ1+3D7GXFmNI1BDP72E+YZfuQpqI1wCcJzNnziQ9PZ0ePXrw8MMPM2zYMI+8cpXkc5Vc9B133EF8fDw33XQTJpPJI90M8OOPP6LVarHZbFgsFjp0kNIGP/zwQ/r06UNSUhI33ngjJpOJTZs28dNPP/HYY4/Ro0cP0tPTSU9P55prrqFXr16kpKR4pJ2nTJnCP//5T/r168fjjz9+aT6kvxvBnaDwMBz5HfyjIaR5qoChWg0UwE8VgKAwsbn4WwTBhd7rAVwyhkQNIVIfyciYkZddI/iaeKUgzpNXXnmFtLQ0du/ejcPhwGQyeTRz+vfv71HqPHz4MB9//DGDBg3irrvu4r333uOhhx5i9+7dAKxfv57u3buzbds2HA4H/fr1AyS1znvvvReAWbNm8fHHHzNt2jRGjx7Nddddx0033QTAsGHDWLBgAZ06deKvv/7igQceYPVqaQaanZ3Npk2bkMvr9y/1chEI6QLmEjj8CwycJqmENhOCTO4xAFXFRvtMiwHQeT2AS4ZSpmTZmGUN9gi+nGiVBkAQhOuB6zt27HjW49Z/fYTCrMpmPXdwlJ6Umzs36lhRFHnqqadYt24dMpmMnJwc8vPzAYiKimLQoEEATJgwgbfffpsZM2YQGxvLwYMH2bp1K4888gjr1q3D6XR6FDbT0tKYNWsWpaWlVFZWMnLkyHrnraysZNOmTYwfP96zzWq1en4fP3689+bfkvS4DY6tlIzAkCebdWjB3RAGILiO5LC3Gcyl5X9Bh6lVGgBRFJcBy3r37n3vpb6Ws7Fo0SIKCgrYsWMHSqWSmJgYj3RzXbew6vngwYP59ddfUSqVXH311UyZMgWn08nrr78OSCGcH374gaSkJFJTU1m7dm2987pcLgwGg8ebqItXq7+F0fjDhG+lLKBmDgfUDAGF+NQWHFPL1Q29xIuXRtMqDUBjaexMvTnx9fWloqICgLKyMkJDQ1EqlaxZs4aTJ096jsvMzGTz5s0MGDCAxYsXexQ0U1JSmDRpEpMmTSIkJISioiLy8/M9LSArKipo06YNdrudRYsWERkZWe+8fn5+tG/fnqVLlzJ+/HhEUWTv3r0kJSW15EfhpS4XIRYs9QOQDEBCcO3mQZer/ICX1oP3G3SeBAUFMWjQILp3787u3bvZvn07CQkJfP7557Vkm+Pi4pg/fz7x8fGUlJQwdepUQJJXzs/PZ/DgwYDUFSwhIcHjIbzwwgv069ePQYMG1Rrv1ltv5fXXXyc5OZn09HQWLVrExx9/TFJSEt26dfMsQHv5H6NGFpC/VoXLViMMdPmuPXppJVzWHsClYvHixWfdf+LECRQKBV988UW9fVqttla8fuHChbX2T5061WMsajJo0KB6aaC//fZbveNSU1PPem1eLi9qhoD0aiXIzNX7vBbASxPxegBevLRiZDJZtQHQKJApTJ59V0R6G/N4aRpeA3ARiImJIS0t7VJfhpf/AQRB5ukP7aP8//buNjaqKg3g+P+ZQl+km1IslWhdpiAtbZlykbIBwmDJBrYb18XSTcDUaAsBK2KWTfxQFBJINNJospCgS1gRusS0UUSjTaPGpEoljbGola2kGWGLlJgttFAZi9uoZz9MZ5iW1k47M51p5/kl/TBnzj33GeYwzz335Ry/O7uMTZ8EVkHTBKBUNLPdvA3UZrt5ysdhqiIVkZpENAEoFcW8awIPlhofokXnVUzTi8BKRTH/U0AAM3q2c+n6f7ktSx/0U8HTEYBSUcy7HoDXjCnz+en6QqYl6LGbCp4mgDF47rnnyMvLIz8/H8uy+PTTTwEoLCwkOzsby7LIyckZcIun3W7H4XAG+24rAAAJBElEQVTgcDjIzc1l586dvqeGvfbt20diYiI9PT2+so8++oiUlBQsy2L+/Pk89dRTABw5cgTLsrAsi/j4eBwOB5ZlUVlZOaDN3t5eSktLcTgcLFiwgBUrVuB2h3b6DBU+/lNBACT3//AnxesIQAVPDyNGqampibq6Oj7//HMSEhK4cuUKfX19vvdfe+01CgoK6O7uZu7cuZSVlREfHw9AQ0MDaWlpuN1utmzZwmOPPUZ1dbVv25qaGpYsWcKJEycoLy/3lTudTurq6rhx4waLFi2iuLiY8vJyXx273e5re7D9+/dzxx13cObMGcAzSd3UqRN/DpNY4RkB/Ox7ndh/J9A0TQAqBHQEMErfffcdaWlpJCR45mFJS0vjzjtvXRTa7XYzbdq0ISdlS05O5uDBg7z99tt0d3cDcO7cOdxuN88++yw1NTVD7jspKQnLsrh06dKo4vVOJwGeJ5QTEhJob28nJyeHzZs3k5eXx5o1a7hxw/OQ0ZdffsnSpUvJz8+nuLiYq1ev0tnZyeLFiwFoaWlBRPj2228BmDt3Lr29vbfuXAXNfz0AAPvtngng+n42w22iVMA0AYzSmjVruHjxIllZWWzdupWPP/54wPulpaXk5+eTnZ3Nrl27hp2V0zufj8vlAqC2tpYNGzbgdDppa2vzzSrq7+rVq7hcLt80EoHYuHEjVVVVLFu2jJ07d/r2B+ByuXjiiSdobW1l+vTpvPnmmwA88sgjVFVV8dVXX+FwONizZw/p6en8+OOPfP/99zQ2NlJQUEBjYyMXLlwgPT2d227TmSnDwfMk8M0f+4V3Tweg+4f/DbeJUgGb0KeAGo4eovPC+ZC2mT57DqvKtgz7fnJyMqdPn6axsZGGhgbWr1/P3r17KSsrA26eArp8+TLLly+nqKiI2bNnD9mW/5FdTU0Nb731FjabjZKSEt544w22bdsGeNYOWLhwIS6Xi+3btzNr1qyAP49lWZw/f54PPviADz/8kCVLltDU1ERSUhKZmZlYlgXA4sWLaW9vp6enh2vXrnHfffcB8Oijj/qmnV6+fDmnTp3i5MmTPP3007z33nsYY3xTWavQ858KAqAobxZ//f08Spf+NoJRqcli3EYAIjJHRA6LyPHx2me4xMXFUVhYyJ49ezhw4IDvyNnfzJkzuffee30XiAe7fv067e3tZGVlcebMGVwuF6tXr8Zut1NbWzvgNJDT6aSlpYXW1lYOHz487DTQw0lOTmbdunW8/PLLPPzww9TX1wP4TmN5P9NIS0iuXLnSd9S/du1aWlpa+OSTTzQBhJHY4nyzgQJMibPxt9VZpP8mMYJRqckioBGAiLwK/AnoNMYs8CsvAvYDccArxpi9w7VhjDkPbAplAvi1I/VwaWtrw2azMW/ePMBzvnyoI/ze3l6++OKLIZdldLvdbN26lQcffJDU1FReeOEFdu/ezY4dNxcTyczMHDC9tLessrKSqqqqYa8TDHbq1Clyc3NJTU2lr6+Pr7/+msLCwmHrp6SkkJqaSmNjI06nk2PHjvlGA06nk2eeeYaVK1dis9mYMWMG9fX1PP/88wHFokZv8AhAqVAK9BTQUeAA8C9vgYjEAS8Bq4EO4DMReQdPMhj8i7DRGNMZdLRRwO128+STT3Lt2jWmTJnCPffcM+B2z9LSUt+Mn2VlZb4LpwCrVq3CGMMvv/xCcXExu3btAjzn/71H5V7FxcXU1tb6lor0qqio4MUXX6S9vR273T5ivOfOnePxxx/37ff++++npKTkluTir7q6moqKCnp7e5kzZw5HjhwBPHcbGWN81yBWrFhBR0cHqampI8ahxkZsA28DVSqUJNDOJSJ2oM47AhCRZcBuY8wf+l/vADDG/OrhoIgcN8b8JZB9FhQUmObm5gFlZ8+eJScnJ6CYVeTo9xQa7+6r4sqF/1D+94ORDkVNECJy2hhTEEjdYK4B3AVc9Hvd0V82XFC3i8hBYJE3WQxTb4uINItI8+XLl4MIT6mJT0BHACpsxu0uIGNMF1ARQL1DwCHwjADCHZdSUS0My0wq5RXMCOAScLff64z+MqWUUhNAMAngM2CeiGSKSDywAXgnFEGJyAMicsh/Thx/OiSObvr9KDUxBJQARKQGaAKyRaRDRDYZY34CtgHvA2eB140xraEIyhjzrjFmS0pKyi3vJSYm0tXVpT8yUcoYQ1dXF4mJep+6UtEuoGsAxpiHhimvB+qHei9cMjIy6OjoQC8QR6/ExEQyMjIiHYZSagQTbiqIqVOnkpmZGekwlFJqwovKyeBGugaglFIqeFGZAH7tGoBSSqnQiMoEoJRSKvwCngpiPInIA8ADwHrANUL1UEsBQn3uKRRtjrWN0W4XaP1A6o1UJw24EmBcE0E4+k6k9x1su9pvx99sY8zMgGoaY/TP7w84FI1tjrWN0W4XaP1A6o1UB2iO9Pcdbd9ztO072Ha130b3n54CutW7UdrmWNsY7XaB1g+kXjj+LaNZJD9vuPYdbLvab6NYVJ4CUrFBRJpNgLMWKhUtJlO/1RGAiqRDI1dRKupMmn6rIwCllIpROgJQSqkYpQlAKaVilCYApZSKUZoAVFQQkWkiUi0i/xSR0kjHo1QgRGSOiBwWkeORjmUsNAGosBGRV0WkU0T+Pai8SETaROQbEansL14HHDfGbAb+PO7BKtVvNP3WGHPeGLMpMpEGTxOACqejQJF/gYjEAS8BfwRygYdEJBfPkqIX+6v9PI4xKjXYUQLvtxOaJgAVNsaYk0D3oOLfAd/0Hzn1AbXAWqADTxIA7ZcqgkbZbyc0/Y+mxttd3DzSB88P/13ACaBERP5BDD2KryaMIfutiNwuIgeBRSKyIzKhjd2EWxFMTU7GmB+A8kjHodRoGGO6gIpIxzFWOgJQ4+0ScLff64z+MqWi2aTst5oA1Hj7DJgnIpkiEg9sAN6JcExKjWRS9ltNACpsRKQGaAKyRaRDRDYZY34CtgHvA2eB140xrZGMUyl/sdRvdTI4pZSKUToCUEqpGKUJQCmlYpQmAKWUilGaAJRSKkZpAlBKqRilCUAppWKUJgCllIpRmgCUUipGaQJQSqkY9X8afQuNxCkdIQAAAABJRU5ErkJggg==\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "for idn in range(len(ids)):\n", + " plt.plot(wvref,specs[idn,:],label=names[ids[idn]])\n", + "plt.plot(wlalb2,sbdarti*100,label=\"SBDART Snow\")\n", + "plt.xscale('log')\n", + "plt.yscale('log')\n", + "plt.legend()" + ] + }, + { + "cell_type": "code", + "execution_count": 156, + "metadata": {}, + "outputs": [], + "source": [ + "wtspec = np.copy(specs)\n", + "for n in range(len(ids)):\n", + " wtspec[n,:] *= weights[n]" + ] + }, + { + "cell_type": "code", + "execution_count": 157, + "metadata": {}, + "outputs": [], + "source": [ + "netspec = np.sum(wtspec,axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 158, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(wvref,netspec)\n", + "plt.xscale('log')" + ] + }, + { + "cell_type": "code", + "execution_count": 159, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(wvref,netspec)\n", + "plt.plot(wlalb2,sbdarti*100)\n", + "plt.xscale('log')\n", + "plt.yscale('log')" + ] + }, + { + "cell_type": "code", + "execution_count": 160, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(0.34, 14.01)" + ] + }, + "execution_count": 160, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "for n in range(len(ids)):\n", + " plt.plot(wvref,np.sum(wtspec[:n+1,:],axis=0),label=names[ids[n]])\n", + "plt.xscale('log')\n", + "plt.legend()\n", + "plt.xlim(wvref.min(),wvref.max())" + ] + }, + { + "cell_type": "code", + "execution_count": 161, + "metadata": {}, + "outputs": [], + "source": [ + "import colormatch as cm" + ] + }, + { + "cell_type": "code", + "execution_count": 162, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1.0\n" + ] + } + ], + "source": [ + "print np.sum(weights)" + ] + }, + { + "cell_type": "code", + "execution_count": 163, + "metadata": {}, + "outputs": [], + "source": [ + "def bbtemp(teff,wvref):\n", + " sbk = 5.67e-8\n", + " const = 0.0143877735383\n", + " bbf = 1.0/wvref**5 * (1.0/(np.exp(const/(teff*wvref*1e-6))-1))\n", + " return bbf" + ] + }, + { + "cell_type": "code", + "execution_count": 164, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[2800. 3100. 3400. 3700. 4000. 4300. 4600. 4900. 5200. 5500. 5800. 6100.\n", + " 6400. 6700. 7000. 7300. 7600. 7900.]\n" + ] + } + ], + "source": [ + "rgbs = []\n", + "srgbs = []\n", + "albs = []\n", + "stemps = np.linspace(2800,7900,num=18)\n", + "print stemps\n", + "bbs = []\n", + "for s in range(0,len(stemps)):\n", + " bbf = bbtemp(stemps[s],wvref)\n", + " bbs.append(bbtemp(stemps[s]-650.0,wvref))\n", + " refl = netspec*0.01*bbf\n", + " albb = np.trapz(refl[:145],x=wvref[:145])/np.trapz(bbf[:145],x=wvref[:145])\n", + " albs.append(albb)\n", + " #srgbs.append(cm.specs2rgb(wvref*1e3,[bbf,]))\n", + " rgbs.append(cm.spec2rgb(wvref*1e3,refl,normalization=albb))\n", + "srgbs = cm.specs2rgb(wvref*1e3,np.array(bbs))" + ] + }, + { + "cell_type": "code", + "execution_count": 165, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig,ax=plt.subplots(figsize=(13,4))\n", + "for s in range(len(stemps)):\n", + " plt.scatter(stemps[s],1.0,marker='o',color=np.array(rgbs[s])/np.amax(rgbs[s])*albs[s],s=1000)\n", + " plt.scatter(stemps[s],1.25,marker='o',color=np.array(srgbs[s])/np.amax(srgbs[s]),s=1000)\n", + " #plt.annotate(\"%d K\"%stemps[s],(stemps[s]-100,1.35))\n", + " #print stemps[s]\n", + " #plt.axvline(stemps[s])\n", + "ax.set_facecolor('0.8')\n", + "plt.annotate(\"Stellar Color\",(3000,1.35),color='k',fontsize=18)\n", + "plt.annotate(\"Surface Color\",(3000,1.1),color='k',fontsize=18)\n", + "plt.ylim(0.9,1.4)\n", + "plt.xlim(2500,8200)\n", + "plt.tick_params(\n", + " axis='y', # changes apply to the x-axis\n", + " which='both', # both major and minor ticks are affected\n", + " left=False, # ticks along the bottom edge are off\n", + " right=False, # ticks along the top edge are off\n", + " labelleft=False)\n", + "plt.xlabel(\"Stellar Effective Temperature [K]\")\n", + "plt.title(\"Snow/Ice Color\")\n", + "plt.savefig(\"colorgrid_snow.png\",bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": 166, + "metadata": {}, + "outputs": [], + "source": [ + "alb1 = np.zeros(100)\n", + "alb2 = np.zeros(100)\n", + "albb = np.zeros(100)\n", + "teffs = np.linspace(2700,6000,num=100)" + ] + }, + { + "cell_type": "code", + "execution_count": 167, + "metadata": {}, + "outputs": [], + "source": [ + "for n in range(100):\n", + " bbf = bbtemp(teffs[n],wvref)\n", + " refl = netspec*0.01*bbf\n", + " alb1[n] = np.trapz(refl[:42],x=wvref[:42])/np.trapz(bbf[:42],x=wvref[:42])\n", + " alb2[n] = np.trapz(refl[42:145],x=wvref[42:145])/np.trapz(bbf[42:145],x=wvref[42:145])\n", + " albb[n] = np.trapz(refl[:145],x=wvref[:145])/np.trapz(bbf[:145],x=wvref[:145])" + ] + }, + { + "cell_type": "code", + "execution_count": 168, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(teffs,alb1,label=\"$\\lambda<{0.75}$ $\\mu$m\")\n", + "plt.plot(teffs,alb2,label=\"$\\lambda>{0.75}$ $\\mu$m\")\n", + "plt.plot(teffs,albb,label='Bolometric albedo')\n", + "plt.legend(loc='best')\n", + "plt.xlabel(\"Star T$_{eff}$ [K]\")\n", + "plt.ylabel(\"Albedo\")\n", + "plt.title(\"Snow/Ice albedo with different stars\")\n", + "plt.savefig(\"snow_bolometric.png\",bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": 169, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "5500.0 0.50829202497667\n" + ] + } + ], + "source": [ + "print teffs[-16],albb[-7]" + ] + }, + { + "cell_type": "code", + "execution_count": 170, + "metadata": {}, + "outputs": [], + "source": [ + "specvar = \"seaicemin\"\n", + "specinttext = \" real :: %s(%d) = (/\"%(specvar,len(wvref))\n", + "specinttext += \",\".join([\"%.4f\" % number for number in netspec[0:8]]) + \", &\\n\"\n", + "n=8\n", + "while n+80:\n", + " manifest[lfile[0]] = lfile[1]" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0 andesitefine\n", + "1 andesitesolid\n", + "2 basaltsolid\n", + "3 brownsand\n", + "4 clearice\n", + "5 coarsesnow\n", + "6 dunesand\n", + "7 finesnow\n", + "8 frost\n", + "9 mediumsnow\n", + "10 seawater\n", + "11 tapwater\n", + "12 yellowloam\n", + "13 yellowsand\n" + ] + } + ], + "source": [ + "names = sorted(manifest.keys())\n", + "ix = 0\n", + "for n in names:\n", + " print ix,n\n", + " ix+=1" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "ids = [0,1,2,3,6,12,13]" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "andesitefine\n", + "andesitesolid\n", + "basaltsolid\n", + "brownsand\n", + "dunesand\n", + "yellowloam\n", + "yellowsand\n" + ] + } + ], + "source": [ + "for i in ids:\n", + " print names[i]" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "weights = np.zeros(len(ids))+1.0/7.0\n", + "weights[4] /= 2.0\n", + "weights[0:4] += weights[4]/6.0\n", + "weights[5:] += weights[4]/6.0\n", + "offset = weights[0]*0.5\n", + "weights[0:2] += offset\n", + "weights[2:4] -= 2*offset/4.0\n", + "weights[5:] -= 2*offset/4.0\n", + "offset = weights[2]*0.7\n", + "weights[2] += offset\n", + "weights[:2] -= offset/5.0\n", + "weights[3] -= offset/5.0\n", + "weights[5:] -= offset/5.0\n", + "weights[0] *= 2.0\n", + "weights[1:] -= 0.5*weights[0]/6.0" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1.0 [0.43178571 0.17991071 0.16133929 0.06383929 0.03544643 0.06383929\n", + " 0.06383929]\n" + ] + } + ], + "source": [ + "print np.sum(weights),weights" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "wvref = np.loadtxt(\"wvref.txt\")" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(965,)\n" + ] + } + ], + "source": [ + "print wvref.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "specs = np.zeros((len(ids),wvref.shape[0]))\n" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "for idn in range(len(ids)):\n", + " filename = manifest[names[ids[idn]]]\n", + " with open(filename,\"r\") as fileobj:\n", + " text = fileobj.read().split('\\n')\n", + " for k in range(len(text)):\n", + " if text[k].split()[0]==\"Additional\":\n", + " nhead = k+2\n", + " break\n", + " spec = np.loadtxt(filename,skiprows=nhead,ndmin=2).transpose()\n", + " if spec[0,0] > spec[0,-1]:\n", + " spec = np.flip(spec,axis=1)\n", + " specs[idn,:] = np.interp(wvref,spec[0,:],spec[1,:])" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "for idn in range(len(ids)):\n", + " plt.plot(wvref,specs[idn,:],label=names[ids[idn]])\n", + "plt.xscale('log')\n", + "plt.legend()" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "wtspec = np.copy(specs)\n", + "for n in range(len(ids)):\n", + " wtspec[n,:] *= weights[n]" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "netspec = np.sum(wtspec,axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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l9Fqnr3tujwfPS6WwqpHF29uX2D1UUktGXqXDri+Eo0igO9jeo1W8vymXS0b2c+keneJUx2aFTku2P9jPGRzNkL4hvLoqG601s59ZwWV/W0NF3Zm7IglhpG4DXSkVp5RarpTarZTapZR6oON4pFLqW6VUVsfvvX4d2NrGFu55ZwuhAT48JiNbDKWUYvPj5/HarRMdcq07Zw5iX2E1S/ec6Esf8+S3bD1cbvf1hXAUa1roLcDPtdbDgCnAvUqpYcAjwFKt9WBgacefe7XPtuWTXVLL89eOISZEtpMzWlSwn8OWWbhsdH/6hfnz2893nnL8mlfW0dgi+5EK99BtoGutC7TWWzq+rgb2AAOAK4C3Ok57C7jSWUV6iq93FZIQFcj0FMf13wr34Gsx8ci8IRypbADgr9eN4ZF5Q2hp0/z2s10GVydEO5v60JVSicBYYAPQR2t9bGfdo0Afh1bmYaoamll3oIQLh/eVkS1e6vLR/Tm2HEyIv4W7ZiXzw/EDWbKzQFZmFG7B6kBXSgUDnwAPaq2rTn5Na60B3cX75iul0pVS6cXFxXYV686W7y2iuVVz4fBe/X3NqymleOi8VABCOoZCzkqNobqhhQfe32ZkaUIAYNWWOUopH9rD/F2t9acdhwuVUv201gVKqX5ApzMvtNYLgAUAEyZM6DT0vcE3uwuJCfFjbFyvfzbs1e6bm8K0lKjje8HO7FhWYFWW9zZWhOewZpSLAl4D9mitnzvppcXArR1f3wp87vjyPMfmQ+VMS46yeolW4ZmUUoxPiDzerRYe6Mv1E+Pws8gIYGE8a1ro04GbgQyl1LGfKx8D/gR8qJS6HcgBrnVOie6vqKqBo1UNjBoYbnQpwgADwgMoqWmioblV1u0Rhuo20LXWa4Cump3nOrYcz5SR3z5rcNTAMIMrEUboE+oPQHF1I3GRgd2cLYTzyM+JDrAjrxKTgmH9Qo0uRRggJrR9zkFRdYPBlYjeTgLdATLyK0mJDSbIz6pnzMLLxAS3B3pJjSwFIIwlgW4nrTU78ioZOUD6z3urEP/2b+Q1DS0GVyJ6Owl0Ox2taqCkplH6z3ux4I6fzGoaJdCFsSTQ7fTZ1vYlVR25XKvwLMH+EujCPUig26GppY031x5kekoUaX1DjC5HGMTPYsbXbKJaulyEwSTQ7fDFjiMUVjVyx8xBRpciDBbsb6GmsdnoMkQvJ4HeQ1prXl19kMGxwcxOjTG6HGGwEH+LtNCF4STQe2jtgVL2FFRxx8wkWV1REOxnkVEuwnAS6D306upsooN9uWKM7Bsq2gO92sUPRdsXORXiBAn0HthTUMWKfcXcMjVR1u4QQHuXiytb6G+vO8Tw331NTmmty+4p3J8Euo201vz+i92EBfhwy9QEo8sRbiLYz+KyYYulNY385vNd1DW18ocle1xyT+EZJNBt9M3uQtYeKOVn56cSHuhrdDnCTQT5Wah1QaBrrXnk0wzMJsW8EX35ZnchO/MrZcckAUig20RrzbPf7CMlNpgbJ8cbXY5wI74WE00tzg/Vb3cX8u3uQu6YkcTvrxyB1nDpS2v45cc7APjHiv1c88pajlbKQmG9kQS6DXbkVZJZWMNPpidhMctfnTjB12Ki0QWt5FdWHiApOoiHL0wjOtiP/718OACfbs1n39Fq/rZsP5sOlfPYogyn1yLcj6SSDT7ZkoevxcQlo/oZXYpwM37m9ha6M0eeHCypZcvhCq6bGIdPR4Pi1mmJbHisfVuCN9ceoq6plYERASzbW0R2cY3TahHuSQLdSo0trSzefoQLhvUhLMDH6HKEm/Ht2IKuudV5gb5oaz5KwZWnDZXtE+pPeKAPH6XnAvDctWPws5j458psp9Ui3JMEupWW7y2ioq6Zq8cPNLoU4YaOBXqTk7pdtNYs2prHjJRo+ob5n/F6UnQQLW2aiEAfJiZGcOWYAfxnxxGa5WFpryKBbqV3Nxymb6g/M1OijS5FuCHfji6QxuZWp1x/W24FuWX1Z7TOjxkUHQzA+IQIlFKcOzSWuqZWvttd6JR6hHuSQLfCwZJaVmeV8KPJ8fIwVHTKr2OCmbNa6KsyS1AK5g6J7fT14f3btz8c3bFR+dwhsYT4W1iZWeyUeoR7kj3TrPDehhwsJsX1E+OMLkW4qWMtdGcNXVyzv5iRA8KICOp87sOPJscT7GfhstH9AbCYTUxPjmZ1Vglaa1lvqJeQ5mY3Kuqa+DA9jwuG9yE29My+SyHgpD50JwR6Q3Mr23IrmHqWTVT8fcxcOzGOAN8TS1FMHxxNfkU9+4tktEtvIYHejSe/2E1tYwv3zkkxuhThxo4FeqMTAn3XkUqaWzXjEiJset/s1Bh8LSb+vny/w2sS7kkC/SyW7y3i0y353D07meH9Zc9Q0TVnjnLZklMBwNh42zYij4sM5LJR/VmRWUxrm6zM2BtIoHdBa81fvt7HoJgg7psrrXNxdn5O7EPfmlvOwIgAYkNs7/I7JzWairpmMvIrHV6XcD8S6F3YmlvB7oIqbp+RhJ9FlsgVZ+fMPvQtORWMi7etu+WYmYNj8DWb+NuyLFk/vReQQO/CO+tzCPI1ywYWwirHvuk7OtDLa5s4WtXAqIE96/KLDPLlf+am8N2eIvYerXZobcL9SKB3oqKuiS92FPCDcQMI9pORnaJ7znooWtCxamL/8IAeX+PSjqGM23MrHFKTcF8S6KfRWvP0l3toamnjxsmygYWwzomHoo6dKVpY1R7ofewYMpsQGUiIv0X60XsBCfTTvLPhMB9tzuP+uSkM7RdqdDnCQzirD/1YC72z9VusZTIpRvQPY6cEuteTQD/J3qNV/O/iXcxJi+HB81KNLkd4EGfNFC2orEcpiA3xs+s6owaGsaeg2iWbcAjjSKB3aGvTPPZpBiH+Fp69dgwmk0yVFtZzVh96VmENiVFBx9c/76kRA8Joam0js1AejHqzbp/4KaVeBy4FirTWIzqOPQHcCRxb+ecxrfUSZxXpTCv2FfHt7kI0sOVwBc9cM5rILtbLEKIrfk6YWFTT2MLqrGKHbKhybJTMjrxKRgyQSXLeypohHG8CfwP+ddrx57XWzzi8Ihdqa9P8bvEuDpfVoTVMS47i6nEyTFHYzhldLs9+s4+65lZummL/w/n4yEDCA33YnlvBj2Q/XK/VbaBrrVcppRKdX4rrrdlfQk5pHS9cP4ZJSZFEBPrKqnSiR0wmhY9ZOTTQV2YWMzctllEDbZvy3xmlFKMHhrM9T4YuejN7OubuU0rtUEq9rpTq2TQ2g72zPoeoIF8uGtGXfmEB+PvIjFDRc74d+4o6QnVDM9nFtYyJsz/MjxkTF05mYTXVDc0Ou6ZwLz0N9JeBZGAMUAA829WJSqn5Sql0pVR6cbH7LLZfUFnP0r1FXDsxTqb2C4fwtZgc9lB0Z34VACN7OEO0M5OSImnTkJ5T7rBrCvfSo0DXWhdqrVu11m3Aq8Cks5y7QGs9QWs9ISYmpqd1OtxH6Xm0ac0NE6U/UTiGr8VxLfQdHV0jjuhuOWZcfAS+ZhM/+2Ab97y7maLqBoddW7iHHgW6Uurkx+4/AHY6phzX0FrzyZY8pg6KIj4q0OhyhJfwtZgcMspFa807G3KIiwxw6IirAF8zs9NiKK9rZknGUV5bc9Bh1xbuodtAV0r9G1gHpCml8pRStwN/VkplKKV2AHOAh5xcp0Ol55STU1rH1eMGGl2K8CKO6kPfcric3LJ6pic7fkPyxy4eytwhsQT7WVi2p8jh1xfGsmaUyw2dHH7NCbW4zCeb8wj0NXPRiL5GlyK8iJ/F7JA+9BeX7sdiUjx68VAHVHWqxOggXr9tIgtXZ/PUl3s4UlFv18Jfwr30upmi9U2tfLGjgHkj+hEkKykKB3JEl8tLS7NYmVnMHTMHERbg46DKzjS+Yzs7WbDLu/S6QP9qZwE1jS1cPV4mEAnHan8o2vPVFgsq63ll5QEGxwbz0PmDHVjZmYb2C8VsUrJgl5fpVYGuteb17w+SEhvMlKSud1AXoif87BzlsjqzhNqmVp6/bozTh9L6+5hJjgliT0GVU+8jXKtXBfqGg2XszK/iJ9OTZPEt4XC+ZvvGoR8oqcFiUgzpG+LAqrqWEhvM/qIal9xLuEavCvSFqw8SEejDVbJei3CCAF8z9U0973JZvreIcfERWOxcWdFaKTHBHC6ro6HZsZtyCOP0mkDPLq5h6d5Cbp6SIFP8hVOE+PtQ1dDSo/fuL6ohs7CGi0e6buRVcmwwbRoOlda67J7CuXpNoP9t2X78LCZunppodCnCS4X6W3q8TsqqzPZlMc4f7rpAT4kNBpBuFy/SKwL9QHENn23L5+YpCcTYufOLEF0J8bfQ2NLWowejmw6VMTAigAEuHBOeHNMe6Pe9t5WiKlkGwBv0ikB/cWkWfhYzP52VbHQpwouF+LePG7e1ld7Y0sqarBKmJbt25JW/j5kbO9ZGf3t9jkvvLZzD6wM9q7CaxduPcOu0RKKDpXUunCfEv32iWrWN/ejph8qpbmzhgmGun7n89A9GMjkpkm93F7r83sLxvD7Q/7o0i0AfM/PPGWR0KcLLnWih2xboK/YV4Ws2MS3FmLkRc4fEsvdoNQWV9YbcXziOVwf63qNVLMko4LbpibJPqHC6Ey1027pcVmYWMykpkkBfY5aimJ0WC5x4MCs8l1cH+gvfZRHka+HOmdI6F853LNBtGbp4pKKezMIaZqUat1dAap9gYkL8WJ1VYlgNwjE8YnWq577N5LOt+Ta/73BZHffPTSE8UFrnwvlCe/BQdPH2IwDMGRLrlJqsoZRiRko0KzOLaWvTMovag3lEoMdHBh5fHc4WMwdHc4f0nQsXsfWhqNaaj9JzmZQYeXxMuFGmJkexaGs+2SU1pMS6ZukB4XgeEeg/HD+QH46XzSiEewv2sy3QDxTXcqC4ltumJzmzLKsM7RsKQFahBLon8+o+dCFcyWI2EehrtrrLZePBMgCmu3j8eWeSY4MAyCyUWaOeTAJdCAcK8bdY3UJfl11KdLAfSdFBTq6qe4G+FuIiA8gsqja6FGEHCXQhHKh9ga7uW+j5FfUsySjg/GGxKOUeDyEHx4awX1roHk0CXQgHigj0oay2qdvzPtuaT2ub5sdu0H9+zKDoIA6V1tLWpo0uRfSQBLoQDjQwIpC88rPPuFyfXcpfvt7HpMRIBhs8uuVkSTFBNLa0USALdXksCXQhHCguMpCCyvouV1wsqKzn+gXrAfjDVSPcprsFON6Xf7BY1kf3VBLoQjhQfGQgbRoy8itobj011BtbWvnVJxkAPP2DEW43PHBQdPtPCwdLpB/dU3nEOHQhPEV8ZCAAV7+8DoBbpyZw45QEwgJ8+N3nu1iVWcxvLh3GjZMTjCyzU31C/Qj0NZNdIi10TyWBLoQDjY0PZ0xcONtyKwB4a10Ob607sdb4vXOSuX2G+zwIPZlSiqToIA5KoHssCXQhHMjHbGLRPdMorm7kUGkdTyzexe6CquOvP3xBmoHVdS8pOoiM/EqjyxA9JIEuhIMppYgN9Sc21J8v75/BgeIacsvqGRMX7lYPQTszKDqIJRkFNLW04WuRR2yeRgJdCCdSSpESG+J2D0C7khwbTJtu3zh6WP9Qo8sRNpJvwUKI48bGta9quuVwucGViJ6QQBdCHBcXGUBMiB+bcyTQPZEEuhDiOKUU4+Mj2HiwDK1lCQBP022gK6VeV0oVKaV2nnQsUin1rVIqq+N323efEEK4pblDY8mvqGdddqnRpQgbWdNCfxO46LRjjwBLtdaDgaUdfxZCeIHLR/cnMsiXN74/ZHQpwkbdBrrWehVQdtrhK4C3Or5+C7jSwXUJIQzi72PmR5Pi+W5PIYdL64wuR9igp33ofbTWBR1fHwX6OKgeIYQbuGlKAj4mE69/f9DoUoQN7H4oqtufnHT59EQpNV8pla6USi8uLrb3dkIIF+gb5s85qdEs3VsoD0c9SE8DvVAp1Q+g4/eirk7UWi/QWk/QWk+IiYnp4e2EEK42KzWG3LJ6WdvFg/Q00BcDt3Z8fSvwuWPKEUK4i1mpsQCs2Cc/WXsKa4Yt/htYB6QppfKUUrcDfwLOV0plAed1/FkI4UXiowIZFB3EykwJdE/R7VouWutxI55RAAAN0UlEQVQbunjpXAfXIoRwM+ekxvDvjYdpaG7F38dsdDmiGzJTVAjRpWnJUTS2tLHriCyp6wkk0IUQXRrar33FxcxC2ZbOE0igCyG6NCA8gAAfM/uOVhtdirCCBLoQoksmkyK1TzBZRRLonkACXQhxVql9Qth3VLpcPIEEuhDirFL7hFBS00hpTaPRpYhuSKALIc4qtW/79nnSj+7+JNCFEGc1ckAYABn5MnTR3UmgCyHOKjLIl7jIANln1ANIoAshujU7NZavdxXy2dZ8GltajS5HdEECXQjRravHDwTgwQ+28fiind2cLYwigS6E6NbogWE8Mm8IY+LC+WhzHnuPVhldkuiEBLoQoltKKe6alcyCm8cD8N3uQoMrEp2RQBdCWC021J/RA8NYurfLPW2EgSTQhRA2mTukD9tyKyirbTK6FHEaCXQhhE1mDI5Ca9iQXWp0KeI0EuhCCJuMGhhOoK+ZtQck0N2NBLoQwiY+ZhOTkiJ5e30OW2WykVuRQBdC2Own05MwmxT3vbeV+iaZaOQuJNCFEDY7JzWGd26fTH5FPS+vPGB0OaKDBLoQokemJkdx8ci+vLHmIHVNLUaXI5BAF0LY4cfTk6hubOGL7QVGl4LWmkVb88ivqDe6FMNIoAshemxCQgTJMUF8mJ5raB1aa+55dwsPfbCdC59fRWubNrQeo0igCyF6TCnFNRPiSM8pJ7vYuG3qdhdU8dXOo1hMiprGFlZnFRtWi5Ek0IUQdrl8dH8AvjFofZePN+dxyYtrAFj289lEBvny2pqDhtRiNAl0IYRd+ocHMKxfKEv3GBPoD3+0/fjX8VGBXD66P6uzSnrlAmIS6EIIu503NJbNOeVU1je79L4nPwB98LzBADxwbvvvT325m+Lq3rWxtQS6EMJuExIjadOw08X7jh5bT+Y/983gwfNSAYgI8uWTu6dRWNXIbW9s7FVDKiXQhRB2Gx0Xjo9ZsdzFy+ruPlKFv4+JYf1DTzk+PiGCv984ll1HqvjFRzvQWrPvaDUHS2pdWp+rWYwuQAjh+cICfJgyKIoVmcU87sL77iusJiU2GLNJnfHa3CF9mDooii8zCihf2HR8MbFXb5nA+cP6uLBK15EWuhDCIc4ZHMP+ohoKKl03sSezsJrUPiFdvv7staMBTlkZ8vdf7Pbatdwl0IUQDjFjcDQAq7NKXHK/iromCqsaSTtLoPcPD2D1L+fw1+vGkPX0PN6fP4WjlQ389O10tPa+yUd2BbpS6pBSKkMptU0ple6oooQQnmdI3xAGhAfwVcapywB8v7+EGxeu590NOQ6934p97ZOHRg4MO+t5cZGBXDl2AD5mE1MGRXHHzCQ2HSrnky35Dq3HHTiihT5Haz1Gaz3BAdcSQngopRSXjurH6qwSyju6NFbsK+KW1zfy/f5Sfr1oJ2sc2Hr/YkcBA8IDmJwUZdP7fn5BGlFBvixYdYA2L1siQLpchBAOc8WYAbS0ad7flEteeR0PvL+NlJhgVv1iDgPCA5j/djpHHLB4VkNzK9/vL2HukNhOH4iejdmk+N3lw8ksrOHdjYftrsWd2BvoGvhGKbVZKTXfEQUJITzXsP6hzE6L4f/+u5fznltJfXMrL/1oLPFRgbx9+yQU8KtPdtDU0mbXfVZnlVDf3Mp5PRytctmofoyLD2fBqgMs31fET97cxPf7Szx+US97A32G1nocMA+4Vyl1zuknKKXmK6XSlVLpxcW9c8EcIXqTJy8fgcWkaGhu47lrRx8fhTIoJphHLx7K6qwSrnllLdUNPZ9Vui23HItJMWVQZI/er5TirlnJ5JbV8+M3NrFsbxE3LtxA8mNL+GLHkR7XZTS7xqFrrfM7fi9SSi0CJgGrTjtnAbAAYMKECZ797U8I0a34qEC+uH8GAT5mEqKCTnntpikJhPhbeOD9bby6+iA/Oz+1R/fYU1BNckwwfhZzj+s8f1gfbpoST1NLG6MGhvPR5jy251Zw33tb6R8ewLj4iB5f2yg9bqErpYKUUiHHvgYuAHY6qjAhhOca0jf0jDA/5ooxA5g3oi8LV2dT1cNW+p6CKob063q4ojWUUjx15Uj+/MPR3DQlgc/vnc5XD8zEz2Lilx/voLHF8/ZKtafLpQ+wRim1HdgIfKm1/q9jyhJCeLN7ZqdQ39zKH5fstfm9FXVNFFQ2MLRfaPcn22hov1CevGI4+4tq+OfKbIdf39l6HOha62yt9eiOX8O11k87sjAhhPcaOTCM26Yl8sGmw+wpqLLpvQeK29djGRwb7IzSuG5iPOcOieW5bzNZu981k6QcRYYtCiEM8eC5qQT5Wmwe9ZJbVgdAQlSgs0rjj1eNBOBXn+4gp9RzFvSSQBdCGCIs0Ic7zxnEjrxKPthk/XjwY4E+MMJ5gR4b6s+bP55IWU0T8/+1mZZW+4ZZuooEuhDCMPfNSWF4/1B+t3gXi7bmWfWew2V1xIb44e/T8xEu1pidFsuz145mX2E1v/okwyNmlUqgCyEMYzIp3rl9MsF+Fv701V6rRpbkltcRF+m81vnJLhzelztnJvHJljze35TrknvaQwJdCGGoiCBfnrlmNIVVjSyyYsGsw6V1JLgo0JVSPHbxUIb3D+WxRRmc8+flvLshx2371SXQhRCGO39YH0YNDOOZb/addWx6Y0srBVUNxDvxgejplFL839WjiAzy5XBZHb9etJNZf1lBRp5rt9uzhgS6EMJwSimevnIkJTVN/H3Z/i7Pyy2rR2vnjnDpzIgBYWx+/DxWPDybn84aBMDb6w+5tAZrSKALIdzCyIFhXDchjoVrDrL7SOdj0w+XtXd1xEd2PgvVmZRSJEYH8ei8ofxw/EC+yjhKQ7N7zSaVQBdCuI1H5g0hItCHO/+V3unY9EMlzh+Dbo0rxwygurGFVZnuteCgBLoQwm1EBPny1JUjya+o52/Lss54feeRSqKD/YgK8jWguhMmJkXgY1ZsOVxhaB2nk0AXQriVi0b0ZVJSJG+vz6G2seWU17blVjAmLhylbNvUwtH8LGbS+oawI08CXQghzuqReUMor2vm+W8zjx8rrm4ku7iWMXFn30PUVcbGRbA9t8KtNsWQQBdCuJ1x8RHcPCWBhWsO8vfl7aNe3u/YLm7OkFgjSztuXEI4tU2tbM4pN7qU4yTQhRBu6eEL0jAp+MvX+0h9/Cue/TaT2WkxDO/vHi306SnR+FpMPPLpDqNLOU4CXQjhlsICfdj95EVcMaY/TS1tBPiYeezioUaXdVxsiD/3z00hu7iWhavdY+10u7agE0IIZ/L3MfPC9WN58ooRhAX4GF3OGSYktu9p+tSXexgYEcBFI/oZWo+00IUQbs8dwxxgclIkt01LBOCud7bwVUaBofVIoAshRA8ppXji8uF89cBMAB7/bCcbsktpaW2j2YA11KXLRQgh7DS0XygzB0ezOquE6xasP378/rkp3D5zkMt+wpAWuhBCOMBFI/qecezFZft5aemZM16dRQJdCCEc4IaJ8Wz9zflcMvLUB6OunNQqgS6EEA5gMikignz5yzWjSOsTcvz4q6sPsr+o2jU1uOQuQgjRSwT6Wvj6oXNY8fDs48fmvbDaJfeWQBdCCCdIjD6xZnu8i7bMk0AXQggnc9X6XRLoQgjhJC9cP4aoIF+Kqhpccj8JdCGEcJIrxgzgrlnJ1Da1cqSi3un3k0AXQggnunB4X6KD/cgurnX6vWSmqBBCOFF8VCDrH52Lxez89rO00IUQwslcEeYggS6EEF5DAl0IIbyEXYGulLpIKbVPKbVfKfWIo4oSQghhux4HulLKDPwdmAcMA25QSg1zVGFCCCFsY08LfRKwX2udrbVuAt4HrnBMWUIIIWxlT6APAHJP+nNexzEhhBAGcPpDUaXUfKVUulIqvbi42Nm3E0KIXsueiUX5QNxJfx7YcewUWusFwAIApVSxUirntFPCgEo76jgbR17bnmvZ+l5bzrf23O7OiwZKrLynp3LmZ81danDU9V35ebf1Pdaca805nvSZT7DqLK11j37R/s0gG0gCfIHtwPAeXGdBT2tw5bXtuZat77XlfGvP7e48IN1Z/x/c5ZczP2vuUoOjru/Kz7ut77HmXCvP8brPfI9b6FrrFqXUfcDXgBl4XWu9qweX+k9Pa3Dxte25lq3vteV8a8915t+zp3CHvwNn1+Co67vy827re6w51x3+X7uc6vhOJXo5pVS61nqC0XUI4Sre+JmXmaLimAVGFyCEi3ndZ15a6EII4SWkhS6EEF5CAl0IIbyEBLoQQngJCXTRKaVUkFLqLaXUq0qpG42uRwhnU0oNUkq9ppT62OhaekoCvRdRSr2ulCpSSu087XhnyyBfBXystb4TuNzlxQrhALZ85nX7QoO3G1OpY0ig9y5vAhedfOAsyyAP5MTia60urFEIR3oT6z/zHk8CvRfRWq8Cyk473NUyyHm0hzrI50R4KBs/8x5P/qGKrpZB/hS4Win1Mr10GrXwWp1+5pVSUUqpV4CxSqlHjSnNPvastii8mNa6Fvix0XUI4Spa61LgLqPrsIe00IVVyyAL4UW89jMvgS42AYOVUklKKV/gemCxwTUJ4Uxe+5mXQO9FlFL/BtYBaUqpPKXU7VrrFuDYMsh7gA97uAyyEG6nt33mZXEuIYTwEtJCF0IILyGBLoQQXkICXQghvIQEuhBCeAkJdCGE8BIS6EII4SUk0IUQwktIoAshhJeQQBdCCC/x/8Ykw6pO58MqAAAAAElFTkSuQmCC\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(wvref,netspec)\n", + "plt.xscale('log')" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(0.34, 14.01)" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "for n in range(len(ids)):\n", + " plt.plot(wvref,np.sum(wtspec[:n+1,:],axis=0),label=names[ids[n]])\n", + "plt.xscale('log')\n", + "plt.legend()\n", + "plt.xlim(wvref.min(),wvref.max())" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "import colormatch as cm" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1.0\n" + ] + } + ], + "source": [ + "print np.sum(weights)" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "def bbtemp(teff,wvref):\n", + " sbk = 5.67e-8\n", + " const = 0.0143877735383\n", + " bbf = 1.0/wvref**5 * (1.0/(np.exp(const/(teff*wvref*1e-6))-1))\n", + " return bbf" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[2800. 3100. 3400. 3700. 4000. 4300. 4600. 4900. 5200. 5500. 5800. 6100.\n", + " 6400. 6700. 7000. 7300. 7600. 7900.]\n" + ] + } + ], + "source": [ + "rgbs = []\n", + "srgbs = []\n", + "albs = []\n", + "stemps = np.linspace(2800,7900,num=18)\n", + "print stemps\n", + "bbs = []\n", + "for s in range(0,len(stemps)):\n", + " bbf = bbtemp(stemps[s],wvref)\n", + " bbs.append(bbtemp(stemps[s]-650.0,wvref))\n", + " refl = netspec*0.01*bbf\n", + " albb = np.trapz(refl[:145],x=wvref[:145])/np.trapz(bbf[:145],x=wvref[:145])\n", + " albs.append(albb)\n", + " #srgbs.append(cm.specs2rgb(wvref*1e3,[bbf,]))\n", + " rgbs.append(cm.spec2rgb(wvref*1e3,refl,normalization=albb))\n", + "srgbs = cm.specs2rgb(wvref*1e3,np.array(bbs))" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig,ax=plt.subplots(figsize=(13,4))\n", + "for s in range(len(stemps)):\n", + " plt.scatter(stemps[s],1.0,marker='o',color=np.array(rgbs[s])/np.mean(rgbs[s])*albs[s],s=1000)\n", + " plt.scatter(stemps[s],1.25,marker='o',color=np.array(srgbs[s])/np.amax(srgbs[s]),s=1000)\n", + " #plt.annotate(\"%d K\"%stemps[s],(stemps[s]-100,1.35))\n", + " #print stemps[s]\n", + " #plt.axvline(stemps[s])\n", + "ax.set_facecolor('0.8')\n", + "plt.annotate(\"Stellar Color\",(3000,1.35),color='k',fontsize=18)\n", + "plt.annotate(\"Surface Color\",(3000,1.1),color='k',fontsize=18)\n", + "plt.ylim(0.9,1.4)\n", + "plt.xlim(2500,8200)\n", + "plt.tick_params(\n", + " axis='y', # changes apply to the x-axis\n", + " which='both', # both major and minor ticks are affected\n", + " left=False, # ticks along the bottom edge are off\n", + " right=False, # ticks along the top edge are off\n", + " labelleft=False)\n", + "plt.xlabel(\"Stellar Effective Temperature [K]\")\n", + "plt.title(\"Ground Color\")\n", + "plt.savefig(\"colorgrid.png\",bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [], + "source": [ + "alb1 = np.zeros(100)\n", + "alb2 = np.zeros(100)\n", + "albb = np.zeros(100)\n", + "teffs = np.linspace(2700,6000,num=100)" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [], + "source": [ + "for n in range(100):\n", + " bbf = bbtemp(teffs[n],wvref)\n", + " refl = netspec*0.01*bbf\n", + " alb1[n] = np.trapz(refl[:42],x=wvref[:42])/np.trapz(bbf[:42],x=wvref[:42])\n", + " alb2[n] = np.trapz(refl[42:145],x=wvref[42:145])/np.trapz(bbf[42:145],x=wvref[42:145])\n", + " albb[n] = np.trapz(refl[:145],x=wvref[:145])/np.trapz(bbf[:145],x=wvref[:145])" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(teffs,alb1,label=\"$\\lambda<{0.75}$ $\\mu$m\")\n", + "plt.plot(teffs,alb2,label=\"$\\lambda>{0.75}$ $\\mu$m\")\n", + "plt.plot(teffs,albb,label='Bolometric albedo')\n", + "plt.legend(loc='best')\n", + "plt.xlabel(\"Star T$_{eff}$ [K]\")\n", + "plt.ylabel(\"Albedo\")\n", + "plt.title(\"Ground albedo with different stars\")\n", + "plt.savefig(\"ground_bolometric.png\",bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "5500.0 0.20952110594388035\n" + ] + } + ], + "source": [ + "print teffs[-16],albb[-7]" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [], + "source": [ + "specvar = \"groundblend\"\n", + "specinttext = \" real :: %s(%d) = (/\"%(specvar,len(wvref))\n", + "specinttext += \",\".join([\"%.4f\" % number for number in netspec[0:8]]) + \", &\\n\"\n", + "n=8\n", + "while n+8mpyU(-t?*6gr z5e}U5i}~i8nfIM}Pmr{vFw$F`w@^?}NFqN3WTBv-L%;(E9v1v$b>7Vae0gohCn66I z{I2ZHAa)<0D2pr8;xKpxQJOP-J5hphI3%JyjCA(jBPiV)RjA`F z?uQ?JujxhlBqd8%2%K0@v7w2RLq{iipIBIT7H?Q*SU-(EEY3`l=b-b!6Lz`G&NV=R zZ`imI5D9%zkA9b<^1+W$|Cdj8I}C^ZwChE18XoAX)32?qx!)`~VR|gCbq0*>*?(td zhM{#lR9<#HC=rv*y}Q`CIM8~z|IINyx4E^oc6=P(t;@Q@#g-E81Bdcl+^bb-h}7QR zK7D|IfKaSb2@92j&R{gsW&EAq`BWQ9)9cCM@#)FN$tkb6_|S+mZ#VTTrEhu0zkkw& zMMYx=S8X{+4V811Mkso{;cq@OGR7(tDauGo^SHXQNk~XMo<(@+Zw zu_S4oZ{#&TS?`B}yJb}-{qxq_(I|P%#cC(M^Ax+bRPOs;k;b`h`^^9gnyS8>;B;hAE z`@V*g=cfm3Zch%9=%Bhf7Ouxr{sRv!uP4T{vomm{Aw!0j+g@&{{QUgYhJ(`1nHkKi zu|9_x4Pjp1UsrX1^?J{5HzF8xyWro!!YFBZFy`dsOh2r6+-P)kbevvaZ-D%<3TSL(2dUY_{&#(7*<~=GU0cylOD4<3K=9^?TnQp-YGf!H z8k(LkT)5;HJBVpLUmjNMh8bs8!TI;6icE}+SEan}(K0eJZXX^l8dsje!NFJMV`mX* zntrCG5&Zh~tLf=_0g6(+F7jr@E3NhA>7=f)(eCMLChcrKMs_HH0gjuS8(8OuxVZk! z@zM^*wUyTcu8fQfu*Ukv#@*$FR7pg&^O>$tC{}wis~s@6;q&9&Cl2RGa6zkkdqEKq 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zbE1eBgC3$$Q-+r{!D>7ybIzPe_P(dC2bzZh;I559S_#tt`G{TjtVdmXx2f>dU5aYA?C-oZgW^dQ3XTA>U1`i&bTgg(iC7))D2IL=;u;9)|LZ7zoz=|FudceRjyDYVJ7GF*0qR^NZrMtp(4a5w<$EbEE-r{^Gt=G8 zI8*p@1cHRW3lPn9ugy{!pe^VM?z^qj`h8B%&@g&q!wsOor=W841J+i|ds!b=91S`{ z6*zOL!z0zbf1z#d9sps4pF^)ZzOV~iC1^j$q1Q59W%+fj-zE=;qQN+Ea1z)Enrc{* zu^@SD=~J>ulskQz7TH4`@*3j=@bJ9AW~<(#aU7_E?H2_}k!hU=8G=4_DjL|=wz07W zGf8y~4FVw@9v;3XOS|+4ItcJ_&`HaC?i?jt*#>(y#!egN?~?cI899vcc}WRLbi1RW z%!LX5qTv-Gl5yO3LZwIey8}ub|FhftA3W`m(r}RDjmrrvv+ze5kjs~J)ylD!5&sKj C3Tp8H literal 0 HcmV?d00001 diff --git a/plasim/src/specs/glacalbmin_interp_f90.txt b/plasim/src/specs/glacalbmin_interp_f90.txt new file mode 100644 index 0000000..f775a91 --- /dev/null +++ b/plasim/src/specs/glacalbmin_interp_f90.txt @@ -0,0 +1,121 @@ + real :: glacalbmin(965) = (/72.8542,72.9169,72.9924,73.0412,73.1245,73.1644,73.2082,73.2917, & + & 73.3266,73.4138,73.4452,73.5745,73.5945,73.5915,73.5567,73.5425, & + & 73.4823,73.4565,73.4276,73.4128,73.3099,73.2983,73.2757,73.2244, & + & 73.1708,73.0729,72.9367,72.7057,72.6339,72.4826,72.3225,72.0748, & + & 71.9929,71.8206,71.7562,71.5810,71.2042,71.0782,70.8433,70.7119, & + & 70.4518,70.1351,69.7505,69.4219,68.9788,68.5827,68.3783,68.2024, & + & 68.1186,67.0826,65.4401,64.6529,64.2082,63.5866,62.0006,59.8770, & + & 57.2722,55.3844,54.9615,56.6265,57.1334,57.8229,57.5637,56.1472, & + & 53.8247,50.1078,45.5646,41.9340,41.0004,40.4871,40.5442,40.3640, & + & 40.5799,40.9390,40.3964,39.5441,37.3746,26.0959,12.8617,9.3138, & + & 7.2958,6.3800,6.7451,6.9265,8.1285,9.3163,9.9370,10.0377, & + & 12.6225,13.3656,15.2587,16.5017,17.2778,17.7109,19.1999,19.6744, & + & 21.4847,22.2720,23.9955,21.8609,14.9959,9.8172,6.5213,4.9702, & + & 3.8115,3.3320,3.1551,3.3185,3.7408,4.0751,4.7478,5.7747, & + & 7.2595,9.2924,10.9134,12.2323,14.2970,15.8103,16.3385,16.2042, & + & 15.8641,15.2582,14.4248,13.5320,12.6980,11.9201,11.1876,10.5997, & + & 10.0870,9.6745,9.3800,9.1306,8.9382,8.7881,8.6507,8.5293, & + & 8.3879,8.2432,8.1174,7.9783,7.8345,7.6832,7.5541,7.4147, & + & 7.2791,7.1757,7.0882,6.9888,6.9140,6.8800,6.7836,6.7129, & + & 6.6459,6.4281,6.3425,6.2631,6.0780,5.8727,5.8125,5.4591, & + & 4.9874,4.3480,4.0747,3.6282,3.1111,2.5979,2.0897,1.7067, & + & 1.3015,1.0110,0.7642,0.6004,0.4859,0.4031,0.3389,0.3063, & + & 0.2737,0.2647,0.2656,0.2695,0.2799,0.3094,0.3648,0.4764, & + & 0.5959,0.7533,0.9231,1.0931,1.2799,1.4415,1.5724,1.7394, & + & 1.8669,2.0694,2.2779,2.5575,2.8577,3.2019,3.6007,4.0313, & + & 4.4167,4.7115,4.9205,4.9400,4.8628,4.6840,4.5168,4.3932, & + & 4.3259,4.2764,4.2305,4.1767,4.1204,4.0214,3.9008,3.7651, & + & 3.6248,3.4843,3.3561,3.2507,3.1547,3.0483,2.9600,2.8859, & + & 2.8247,2.7650,2.7046,2.6630,2.6280,2.5960,2.5669,2.5453, & + & 2.5180,2.4996,2.5020,2.5010,2.5077,2.5230,2.5366,2.5569, & + & 2.5872,2.6356,2.6881,2.7370,2.7895,2.8528,2.9151,2.9909, & + & 3.0656,3.1356,3.2098,3.2863,3.3633,3.4356,3.5053,3.5694, & + & 3.6327,3.6887,3.7297,3.7743,3.8137,3.8357,3.8501,3.8536, & + & 3.8434,3.8315,3.8193,3.7871,3.7438,3.7040,3.6542,3.6031, & + & 3.5494,3.4897,3.4284,3.3651,3.3083,3.2526,3.1980,3.1383, & + & 3.0739,3.0191,2.9699,2.9208,2.8716,2.8281,2.7824,2.7406, & + & 2.7040,2.6583,2.6122,2.5718,2.5324,2.4954,2.4660,2.4336, & + & 2.3981,2.3670,2.3374,2.3072,2.2817,2.2589,2.2273,2.1921, & + & 2.1671,2.1507,2.1353,2.1227,2.1073,2.0898,2.0727,2.0518, & + & 2.0274,2.0057,1.9835,1.9573,1.9384,1.9241,1.9054,1.8869, & + & 1.8679,1.8440,1.8214,1.8061,1.7920,1.7668,1.7389,1.7191, & + & 1.7086,1.6967,1.6782,1.6599,1.6477,1.6390,1.6301,1.6210, & + & 1.6118,1.6025,1.6031,1.6083,1.6064,1.6009,1.5974,1.6022, & + & 1.6083,1.6131,1.6181,1.6290,1.6442,1.6592,1.6725,1.6864, & + & 1.7027,1.7190,1.7366,1.7597,1.7854,1.8074,1.8231,1.8418, & + & 1.8622,1.8860,1.9112,1.9338,1.9619,1.9894,2.0083,2.0316, & + & 2.0575,2.0802,2.1056,2.1289,2.1485,2.1664,2.1871,2.2092, & + & 2.2271,2.2447,2.2611,2.2835,2.3055,2.3240,2.3410,2.3582, & + & 2.3751,2.3899,2.4009,2.4109,2.4218,2.4327,2.4418,2.4486, & + & 2.4542,2.4605,2.4662,2.4698,2.4725,2.4734,2.4742,2.4778, & + & 2.4776,2.4747,2.4661,2.4560,2.4462,2.4386,2.4315,2.4210, & + & 2.4053,2.3886,2.3734,2.3625,2.3488,2.3303,2.3098,2.2941, & + & 2.2811,2.2648,2.2484,2.2300,2.2114,2.1895,2.1663,2.1485, & + & 2.1317,2.1108,2.0883,2.0642,2.0373,2.0168,1.9999,1.9821, & + & 1.9657,1.9444,1.9241,1.9000,1.8733,1.8519,1.8361,1.8188, & + & 1.7928,1.7683,1.7540,1.7421,1.7252,1.7111,1.6928,1.6647, & + & 1.6360,1.6147,1.5969,1.5757,1.5607,1.5497,1.5338,1.5178, & + & 1.4979,1.4685,1.4453,1.4272,1.4118,1.4006,1.3853,1.3709, & + & 1.3549,1.3379,1.3248,1.3084,1.2951,1.2781,1.2632,1.2549, & + & 1.2503,1.2459,1.2394,1.2290,1.2152,1.2084,1.2074,1.2049, & + & 1.1966,1.1839,1.1701,1.1591,1.1551,1.1553,1.1556,1.1546, & + & 1.1549,1.1539,1.1540,1.1575,1.1622,1.1671,1.1704,1.1715, & + & 1.1680,1.1652,1.1577,1.1529,1.1538,1.1614,1.1718,1.1818, & + & 1.1868,1.1925,1.1989,1.2033,1.2074,1.2086,1.2092,1.2086, & + & 1.2093,1.2131,1.2179,1.2213,1.2277,1.2331,1.2364,1.2426, & + & 1.2479,1.2531,1.2600,1.2642,1.2655,1.2642,1.2614,1.2621, & + & 1.2635,1.2663,1.2698,1.2701,1.2675,1.2621,1.2589,1.2540, & + & 1.2571,1.2654,1.2720,1.2794,1.2845,1.2871,1.2863,1.2881, & + & 1.2933,1.3001,1.3031,1.3061,1.3075,1.3103,1.3120,1.3116, & + & 1.3113,1.3100,1.3067,1.3025,1.3012,1.3010,1.3036,1.3101, & + & 1.3208,1.3262,1.3326,1.3367,1.3389,1.3436,1.3470,1.3497, & + & 1.3507,1.3495,1.3475,1.3437,1.3419,1.3385,1.3380,1.3381, & + & 1.3400,1.3395,1.3392,1.3412,1.3425,1.3448,1.3529,1.3620, & + & 1.3673,1.3713,1.3749,1.3765,1.3779,1.3776,1.3779,1.3788, & + & 1.3781,1.3793,1.3806,1.3793,1.3782,1.3756,1.3752,1.3754, & + & 1.3778,1.3809,1.3845,1.3883,1.3906,1.3909,1.3915,1.3922, & + & 1.3911,1.3917,1.3917,1.3928,1.3939,1.3965,1.3985,1.4021, & + & 1.4035,1.4044,1.4056,1.4057,1.4049,1.4050,1.4070,1.4062, & + & 1.4046,1.4037,1.4025,1.4032,1.4047,1.4066,1.4113,1.4141, & + & 1.4175,1.4205,1.4232,1.4257,1.4256,1.4263,1.4259,1.4243, & + & 1.4220,1.4225,1.4224,1.4240,1.4271,1.4308,1.4336,1.4349, & + & 1.4349,1.4355,1.4364,1.4399,1.4431,1.4472,1.4525,1.4541, & + & 1.4571,1.4572,1.4562,1.4541,1.4518,1.4517,1.4525,1.4545, & + & 1.4586,1.4610,1.4652,1.4693,1.4712,1.4747,1.4761,1.4792, & + & 1.4804,1.4812,1.4823,1.4808,1.4819,1.4812,1.4832,1.4849, & + & 1.4859,1.4889,1.4898,1.4908,1.4909,1.4903,1.4915,1.4905, & + & 1.4890,1.4893,1.4880,1.4885,1.4882,1.4871,1.4881,1.4892, & + & 1.4896,1.4900,1.4925,1.4948,1.4936,1.4931,1.4914,1.4883, & + & 1.4868,1.4845,1.4810,1.4788,1.4784,1.4764,1.4732,1.4710, & + & 1.4684,1.4621,1.4590,1.4528,1.4506,1.4469,1.4469,1.4460, & + & 1.4453,1.4433,1.4419,1.4399,1.4361,1.4310,1.4269,1.4238, & + & 1.4219,1.4174,1.4162,1.4126,1.4095,1.4036,1.3985,1.3952, & + & 1.3896,1.3873,1.3857,1.3854,1.3841,1.3836,1.3832,1.3814, & + & 1.3780,1.3752,1.3703,1.3663,1.3592,1.3531,1.3480,1.3422, & + & 1.3380,1.3355,1.3330,1.3318,1.3303,1.3285,1.3218,1.3162, & + & 1.3109,1.3057,1.3008,1.2978,1.2940,1.2939,1.2924,1.2921, & + & 1.2913,1.2918,1.2911,1.2915,1.2941,1.2930,1.2929,1.2937, & + & 1.2913,1.2886,1.2867,1.2817,1.2787,1.2752,1.2708,1.2683, & + & 1.2685,1.2713,1.2724,1.2744,1.2763,1.2760,1.2745,1.2736, & + & 1.2730,1.2717,1.2688,1.2637,1.2541,1.2458,1.2329,1.2184, & + & 1.2043,1.1904,1.1800,1.1652,1.1484,1.1308,1.1121,1.0900, & + & 1.0713,1.0536,1.0363,1.0180,0.9970,0.9773,0.9556,0.9345, & + & 0.9123,0.8913,0.8711,0.8491,0.8313,0.8116,0.7936,0.7768, & + & 0.7575,0.7412,0.7201,0.7014,0.6831,0.6645,0.6495,0.6342, & + & 0.6216,0.6065,0.5925,0.5777,0.5639,0.5546,0.5491,0.5471, & + & 0.5465,0.5510,0.5570,0.5638,0.5736,0.5833,0.5997,0.6212, & + & 0.6405,0.6593,0.6827,0.7081,0.7400,0.7661,0.7922,0.8238, & + & 0.8637,0.8979,0.9334,0.9721,1.0228,1.0644,1.1064,1.1588, & + & 1.2039,1.2474,1.2999,1.3414,1.3797,1.4259,1.4608,1.5047, & + & 1.5426,1.5892,1.6290,1.6687,1.7173,1.7554,1.8037,1.8415, & + & 1.8831,1.9147,1.9558,1.9866,2.0275,2.0669,2.0998,2.1387, & + & 2.1680,2.2036,2.2391,2.2698,2.3070,2.3449,2.3763,2.4129, & + & 2.4494,2.4780,2.5119,2.5431,2.5742,2.5987,2.6303,2.6630, & + & 2.6944,2.7218,2.7549,2.7863,2.8182,2.8491,2.8743,2.8990, & + & 2.9195,2.9446,2.9697,2.9943,3.0152,3.0355,3.0523,3.0699, & + & 3.0822,3.0925,3.1060,3.1210,3.1371,3.1557,3.1719,3.1879, & + & 3.1994,3.2082,3.2105,3.2135,3.2183,3.2257,3.2353,3.2450, & + & 3.2570,3.2618,3.2648,3.2623,3.2564,3.2511,3.2435,3.2407, & + & 3.2385,3.2391,3.2410,3.2454,3.2480,3.2499,3.2495,3.2476, & + & 3.2443,3.2397,3.2382,3.2349,3.2324,3.2269,3.2185,3.2097, & + & 3.1995,3.1923,3.1862,3.1798,3.1721 /) diff --git a/plasim/src/specs/ground_bolometric.png b/plasim/src/specs/ground_bolometric.png new file mode 100644 index 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sorted(manifest.keys())\n", + "ix = 0\n", + "for n in names:\n", + " print ix,n\n", + " ix+=1" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "nidx = 8\n", + "filename = manifest[names[nidx]]" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Header has 21 lines\n" + ] + } + ], + "source": [ + "with open(filename,\"r\") as fileobj:\n", + " text = fileobj.read().split('\\n')\n", + " for k in range(len(text)):\n", + " if text[k].split()[0]==\"Additional\":\n", + " nhead = k+2\n", + " break\n", + "print \"Header has %d lines\"%nhead" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "spec = np.loadtxt(filename,skiprows=nhead,ndmin=2).transpose()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(2, 965)\n" + ] + } + ], + "source": [ + "print spec.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "if spec[0,0] > spec[0,-1]:\n", + " spec = np.flip(spec,axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5,1,'water.frost.none.fine.all.frost_snw_.jhu.becknic.spectrum.txt')" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "

" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(spec[0,:],spec[1,:])\n", + "plt.xscale('log')\n", + "plt.xlabel(\"Wavelength [$\\mu$m]\")\n", + "plt.ylabel(\"Reflectance [%]\")\n", + "plt.title(filename)" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "metadata": {}, + "outputs": [], + "source": [ + "specvar = names[nidx]\n", + "spectext = \" real :: %s(%d) = (/\"%(specvar,spec.shape[1])\n", + "spectext += \",\".join(spec[1,:8].astype(str)) + \", &\\n\"\n", + "wvtext = \" real :: %s(%d) = (/\"%(\"wv\"+specvar,spec.shape[1])\n", + "wvtext += \",\".join(spec[0,:8].astype(str)) + \", &\\n\"\n", + "n=8\n", + "while n+8" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(wvref,specinterp)\n", + "plt.xscale('log')\n", + "plt.ylabel(\"Reflectance [%]\")\n", + "plt.xlabel(\"Wavelength [$\\mu$m]\")\n", + "plt.title(specvar+\" Interpolated Spectrum\")\n", + "plt.savefig(specvar+\"_spec.png\",bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": 85, + "metadata": {}, + "outputs": [], + "source": [ + "def bbtemp(teff,wvref):\n", + " sbk = 5.67e-8\n", + " const = 0.0143877735383\n", + " bbf = 1.0/wvref**5 * (1.0/(np.exp(const/(teff*wvref*1e-6))-1))\n", + " return bbf" + ] + }, + { + "cell_type": "code", + "execution_count": 86, + "metadata": {}, + "outputs": [], + "source": [ + "alb1 = np.zeros(100)\n", + "alb2 = np.zeros(100)\n", + "albb = np.zeros(100)\n", + "teffs = np.linspace(2700,6000,num=100)" + ] + }, + { + "cell_type": "code", + "execution_count": 87, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "2.5" + ] + }, + "execution_count": 87, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "wvref[144]" + ] + }, + { + "cell_type": "code", + "execution_count": 88, + "metadata": {}, + "outputs": [], + "source": [ + "for n in range(100):\n", + " bbf = bbtemp(teffs[n],wvref)\n", + " refl = specinterp*0.01*bbf\n", + " alb1[n] = np.trapz(refl[:42],x=wvref[:42])/np.trapz(bbf[:42],x=wvref[:42])\n", + " alb2[n] = np.trapz(refl[42:145],x=wvref[42:145])/np.trapz(bbf[42:145],x=wvref[42:145])\n", + " albb[n] = np.trapz(refl[:145],x=wvref[:145])/np.trapz(bbf[:145],x=wvref[:145])" + ] + }, + { + "cell_type": "code", + "execution_count": 89, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(teffs,alb1,label=\"$\\lambda<{0.75}$ $\\mu$m\")\n", + "plt.plot(teffs,alb2,label=\"$\\lambda>{0.75}$ $\\mu$m\")\n", + "plt.plot(teffs,albb,label='Bolometric albedo')\n", + "plt.legend(loc='best')\n", + "plt.xlabel(\"Star T$_{eff}$ [K]\")\n", + "plt.ylabel(\"Albedo\")\n", + "plt.title(specvar+\" albedo with different stars\")\n", + "plt.savefig(specvar+\"_bolometric.png\",bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": 90, + "metadata": {}, + "outputs": [], + "source": [ + "specinttext = \" real :: %s(%d) = (/\"%(specvar,len(wvref))\n", + "specinttext += \",\".join(specinterp[:8].astype(str)) + \", &\\n\"\n", + "n=8\n", + "while n+8D*-gmfbzEeJ@1fOL145`s!dHz*+uN=l1#i*V@fPU-sQ z`Ty_xz4sm8z2kew9hYYud4PTP*?XUPj9a1qF)$`MU9E%J%|($?yD3(^=Kd)Y;9@ z(FDcD(AnPF&e_`H^?g?pM<)wA+xr}>@ZaP6=FZOc0&Hymc>t@OqZ!+~^dT%1l=~>M 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