run_LBLRTM.py

Python script for creating TAPE5 input of LBLRTM and calling LBLRTM. run_LBLRTM.py is tested with LBLRTM v12.8 and part of TCWret.

Software requirements

run_LBLDIS.py is written in Python and tested with Python 3.8.5. Necessary libraries:

• Numpy
• Pandas

Python and several scientific libraries are assembled in Anaconda.

LBLRTM must be already compiled on your system to use run_LBLDIS.py

Usage of run_LBLDIS.py

python3 run_LBLRTM.py <OUTPUT_PATH>

run_LBLRTM.py searches for input.dat and atm_grid.csv in your run directory.

input.dat

input.dat is an ASCII file containing the parameters and paths which are necessary to use run_LBLRTM.py. It is explained using the example input.dat.example

• Line 1: Lower limit of spectral interval
• Line 2: Upper limit of spectral interval
• Line 3: Name of LBLRTM input file
• Line 4: Path to LBLRTM directory (containing bin/BINARY_OF_LBLRTM)
• Line 5: Path to LBLRTM output directory

atm_grid.csv

This file is read using Pandas, therefore the order of columns does not matter. The file must contain following columns (case sensitive):

• altitude(km)
• ch4(ppmv)
• co(ppmv)
• co2(ppmv)
• humidity(%)
• n2o(ppmv)
• o2(ppmv)
• o3(ppmv)
• pressure(hPa)
• temperature(K)

Output

Optical depths of trace gases