Description

This is a collection of tutorial cases for the Community Radiative Transfer Model (CRTM). There is a separate folder for each tutorial case:

• K-Matrix_test : How to compute instrument weighting functions with the CRTM.
• K-Matrix_SVD : How to use the CRTM K-Matrix in other applications.
• NakajimaKing : A bispectral retrieval example for cloud optical thickness and effective radius.

Getting Started

Requirements

This tutorial requires a linked version of the CRTM library and a LAPACK version. The code has been tested with CRTM REL-2.1.3 to 2.3.0. A Python installation with NumPy and Matplotlib modules is required for the plotting scripts.

Getting the Code

You may either download the code or clone the entire repository with the following command:

git clone https://github.com/StegmannJCSDA/CRTM_tutorial

Compiling the Code

1. Enter the corresponding case folder.
2. Type make.

Using the Code

A detailed description on how to run each tutorial can be found in the corresponding case folder.

Developer Notes

If you plan to contribute to the repository, please create a feature branch from develop or a bugfix branch from hotfix.

LICENSE:

Please see the file LICENSE.txt for details.

References

[1] Stegmann, P., E. Liu, and B. Johnson (2019): Applying the Community Radiative Transfer Model to Remote Sensing and Data Assimilation. AGU Fall Meeting 2019 (Advances in Remote Sensing Inversion), Boston MA.

[2] Rodgers, C. D. (2000): Inverse Methods for Atmospheric Sounding: Theory and Practice. World Scientific Singapore.

[3] Nakajima T., and M. D. King (1990): Determination of Optical Thickness and Effective Particle Radius of Clouds from Reflected Solar Radiation Measurements. Part I: Theory. JAS 47(15), 1878-1893.