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Proceedings Paper

Application of genetic algorithm in atmospheric carbon dioxide concentration retrieval
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Paper 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.

Paper Details

Date Published: 24 September 2013
PDF: 8 pages
Proc. SPIE 8869, Remote Sensing and Modeling of Ecosystems for Sustainability X, 88690P (24 September 2013); doi: 10.1117/12.2023347
Show Author Affiliations
Jingyao Li, East China Normal Univ. (China)
Ctr. for Earth Observation and Digital Earth (China)
Runhe Shi, East China Normal Univ. (China)
Ctr. for Earth Observation and Digital Earth (China)
Wei Gao, East China Normal Univ. (China)
Ctr. for Earth Observation and Digital Earth (China)
Colorado State Univ. (United States)


Published in SPIE Proceedings Vol. 8869:
Remote Sensing and Modeling of Ecosystems for Sustainability X
Wei Gao; Thomas J. Jackson; Jinnian Wang; Ni-Bin Chang, Editor(s)

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