Articles | Volume 14, issue 10
Research article
08 Oct 2021
Research article |  | 08 Oct 2021

GFIT3: a full physics retrieval algorithm for remote sensing of greenhouse gases in the presence of aerosols

Zhao-Cheng Zeng, Vijay Natraj, Feng Xu, Sihe Chen, Fang-Ying Gong, Thomas J. Pongetti, Keeyoon Sung, Geoffrey Toon, Stanley P. Sander, and Yuk L. Yung

Data sets

CLARS-FTS XCH4 and XCO2 retrievals (June 2013-May 2014) from GFIT3 algorithm (1.0) Z.-C. Zeng

AERONET data at the Caltech site J. Stutz

Short summary
Large carbon source regions such as megacities are also typically associated with heavy aerosol loading, which introduces uncertainties in the retrieval of greenhouse gases from reflected and scattered sunlight measurements. In this study, we developed a full physics algorithm to retrieve greenhouse gases in the presence of aerosols and demonstrated its performance by retrieving CO2 and CH4 columns from remote sensing measurements in the Los Angeles megacity.