Application of genetic algorithm in atmospheric carbon dioxide concentration retrieval

Jingyao Li; Runhe Shi; Wei Gao

doi:10.1117/12.2023347

24 September 2013 Application of genetic algorithm in atmospheric carbon dioxide concentration retrieval

Jingyao Li, Runhe Shi, Wei Gao

Proceedings Volume 8869, Remote Sensing and Modeling of Ecosystems for Sustainability X; 88690P (2013) https://doi.org/10.1117/12.2023347
Event: SPIE Optical Engineering + Applications, 2013, San Diego, California, United States

Abstract

This paper introduces the basic theory and method of carbon dioxide (CO2) retrieval. The key step is to search for the optimal solution and the random search algorithm Genetic Algorithm (GA) which can effectively avoid the local optimization. We first investigate the basic principles of GA in CO₂ retrieval and then design the corresponding encoding and decoding methods as well as the fitness function. This newly-developed GA is further applied to retrieve the atmospheric CO₂ concentration using Atmospheric Infrared Sounder (AIRS) observations from January 2006 to December 2008 centered at 20°N, 144°E. Compared to the aircraft measurements, the GA retrieval yields the small root mean square error of 1.13 ppmv and reproduces good results with the observed seasonal cycle.

Citation Download Citation

Jingyao Li, Runhe Shi, and Wei Gao "Application of genetic algorithm in atmospheric carbon dioxide concentration retrieval", Proc. SPIE 8869, Remote Sensing and Modeling of Ecosystems for Sustainability X, 88690P (24 September 2013); https://doi.org/10.1117/12.2023347

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