- run_lblrtm_disort: Python code on bitbucket for computing cloudy sky radiative transfer by running LBLRTM to get clear sky optical depths followed by running DISORT (see below) to get cloudy-sky downwelling infrared radiance in microwindows.
- runDISORT_py: Python code for running disort to compute cloudy-sky downwelling infrared radiances. Please see the readme file at the Bitbucket site for details.
- runDISORT_mat: Matlab/Octave code for running disort to compute cloudy-sky downwelling infrared radiances. See the readme file at the github site for details.
- Python code for processing Atmospheric Emitted Radiance Interferometer (AERI) data. This code implements a responsivity-based criterion:
Rowe, P.M., S. Neshyba, and V.P. Walden, 2011: A responsivity-based criterion for accurate calibration of FTIR emission spectra: Theoretical development and bandwidth estimation, Optics Express, 19 (7), 5930-5941; doi:10.1364/OE.19.005930, http://dx.doi.org/10.1364/OE.19.005451.
Rowe, P.M., S. Neshyba, C.J. Cox, and V.P. Walden, 2011: A responsivity-based criterion for low noise in FTIR emission spectra: Identification of in-band low-responsivity wavenumbers, Optics Express, 19 (6), 5451-5463; doi: 10.1364/OE. 19.005451, http://dx.doi.org/10.1364/OE.19.005930.