Fast Atmospheric Signature CODE (FASCODE): an update and applications in atmospheric remote sensing

James H. Chetwynd Jr.; Jinxue Wang; Gail P. Anderson

doi:10.1117/12.187599

30 September 1994 Fast Atmospheric Signature CODE (FASCODE): an update and applications in atmospheric remote sensing

James H. Chetwynd Jr., Jinxue Wang, Gail P. Anderson

Proceedings Volume 2266, Optical Spectroscopic Techniques and Instrumentation for Atmospheric and Space Research; (1994) https://doi.org/10.1117/12.187599
Event: SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation, 1994, San Diego, CA, United States

Abstract

The U.S. Air Force has long maintained an `exact' accelerated line-by-line (LBL) radiative transfer model, the Fast Atmospheric Signature CODE (FASCODE), appropriate for applications in both the laboratory and any arbitrary line-of-sight in the atmosphere. The first version was released in 1978 with optimized Voigt line shape decomposition and layering algorithms; it had a speed advantage of about 100 over existing fixed frequency LBL codes. The current version of FASCODE, FASCOD3, is fully compatible with the HITRAN92 database, including access to the temperature-dependent cross sections for heavy molecules (e.g., chloro-fluorocarbons/CFCs, etc.). Some new features of FASCOD3 are: line coupling algorithms for both 15 micron CO₂ and the mm lines of O₂; non-local thermodynamic equilibrium models; updated H₂O continuum; multiple scattering capability; and laser options for lidar modeling applications. Because of its speed over other LBL codes and extensive validations against measurements, FASCOD3 is increasingly being used as a high resolution remote sensing data analysis tool from microwave and infrared (IR) to ultraviolet (UV) spectral ranges.

Citation Download Citation

James H. Chetwynd Jr., Jinxue Wang, and Gail P. Anderson "Fast Atmospheric Signature CODE (FASCODE): an update and applications in atmospheric remote sensing", Proc. SPIE 2266, Optical Spectroscopic Techniques and Instrumentation for Atmospheric and Space Research, (30 September 1994); https://doi.org/10.1117/12.187599

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