Reliability evaluation of soil moisture and land surface temperature simulated by Global Land Data Assimilation System (GLDAS) using AMSR-E data

Xiu-li Fu; Bo Wang

doi:10.1117/12.2074566

18 November 2014 Reliability evaluation of soil moisture and land surface temperature simulated by Global Land Data Assimilation System (GLDAS) using AMSR-E data

Xiu-li Fu, Bo Wang

Author Affiliations +

Proceedings Volume 9265, Remote Sensing and Modeling of the Atmosphere, Oceans, and Interactions V; 92650O (2014) https://doi.org/10.1117/12.2074566
Event: SPIE Asia-Pacific Remote Sensing, 2014, Beijing, China

Abstract

Global Land Data Assimilation System (GLDAS) is often used as a test bed for innovative modeling and assimilation capabilities. So its reliability is very important, the validation and the evaluation of product from GLDAS often use in-situ observations. Now remote sensing has been an important observation source, but satellite observations have not directly relation with the output of GLDAS, their relationships are so complex even fuzzy with many parameters. This study analyzed the reliability of soil moisture and land surface temperature simulated by GLDAS using Advanced Microwave Scanning Radiometer-Earth Observing System (AMSR-E) data for the periods of one year based on fuzzy comprehensive evaluation theory, Results demonstrate that both of them are relatively believable, and the land surface temperature is more reliable than the soil moisture.

Citation Download Citation

Xiu-li Fu and Bo Wang "Reliability evaluation of soil moisture and land surface temperature simulated by Global Land Data Assimilation System (GLDAS) using AMSR-E data", Proc. SPIE 9265, Remote Sensing and Modeling of the Atmosphere, Oceans, and Interactions V, 92650O (18 November 2014); https://doi.org/10.1117/12.2074566

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