# Impact of Cloud optical depth on atmospheric transmission (Scattering + Absorption) at LSST

  • Sylvie Dagoret-Campagne

  • affliliation : IJCLAB/IN2P3/CNRS

  • creation date : 24 January 2020

  • last update : August 27th 2024

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%load_ext autoreload
%autoreload 2

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import matplotlib.pyplot as plt
%matplotlib inline
import sys
import os
import numpy as np

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import matplotlib
import matplotlib.pyplot as plt
import matplotlib.colors as colors
import matplotlib.cm as cmx

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matplotlib.rcParams.update({'font.size': 15, 'lines.linewidth': 2, 'lines.markersize': 15})
matplotlib.rcParams["axes.labelsize"]="small"
matplotlib.rcParams["axes.linewidth"]=2.0
matplotlib.rcParams["xtick.major.size"]=8
matplotlib.rcParams["ytick.major.size"]=8
matplotlib.rcParams["ytick.minor.size"]=5
matplotlib.rcParams["xtick.labelsize"]="large"
matplotlib.rcParams["ytick.labelsize"]="large"
matplotlib.rcParams["figure.figsize"]=(12,6)
matplotlib.rcParams['axes.titlesize'] = 15
matplotlib.rcParams['axes.titleweight'] = 'bold'
#matplotlib.rcParams['axes.facecolor'] = 'blue'
matplotlib.rcParams['xtick.direction'] = 'out'
matplotlib.rcParams['ytick.direction'] = 'out'
matplotlib.rcParams['lines.markeredgewidth'] = 0.3 # the line width around the marker symbol
matplotlib.rcParams['lines.markersize'] = 10  # markersize, in points
matplotlib.rcParams['grid.alpha'] = 1. # transparency, between 0.0 and 1.0
matplotlib.rcParams['grid.linestyle'] = '-' # simple line
matplotlib.rcParams['grid.linewidth'] = 0.4 # in points

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from libradtranpy import libsimulateVisible

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os.getenv('LIBRADTRANDIR')

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am=1.
pressure = 0. # use default value
pwv=4.0
aer=0
ozone=300.

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cloudext=np.linspace(0.0,0.2,10)

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NBOBS=len(cloudext)

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jet = plt.get_cmap('jet')
cNorm = colors.Normalize(vmin=0, vmax=NBOBS)
scalarMap = cmx.ScalarMappable(norm=cNorm, cmap=jet)
all_colors = scalarMap.to_rgba(np.arange( NBOBS), alpha=1)

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all_trans = []
for index in np.arange(NBOBS):

    wl,atm = libsimulateVisible.ProcessSimulation(am,pwv,ozone,pressure,aer_num=aer,
                                                      prof_str='us',proc_str='sa',cloudext=cloudext[index])
    all_trans.append(atm)

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for index in np.arange(NBOBS):
    plt.semilogy(wl,all_trans[index],'-',color=all_colors[index])
plt.xlim(300,1200)
plt.grid()
plt.title("Atmospheric transmission for cloud optical depth from 0 to 0.2")
plt.xlabel("$\\lambda$ (nm)")
plt.ylabel("transmission")
plt.ylim(0.5,1)
figname="multitransmission.png"
plt.savefig(figname)

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