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《Geography and Geo-Information Science》 2013-01
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Soil Moisture Assimilation Based on Variable Infiltration Capacity and Ensemble Kalman Filter

MI Su-juan1,2,TANG Jia-kui1,2,ZHANG Xian-feng3,YU Xin-ju1,2,GUO Qiang2(1.Yantai Institute of Coastal Zone Research,Chinese Academy of Sciences,Yantai 264003; 2.University of Chinese Academy of Sciences,Beijing 100049;3.Institute of Remote Sensing and GIS,Peking University,Beijing 100871,China)  
Soil moisture is not only an important part of water resource,but also one of the most important factors of the land ecosystem.Accurate soil moisture is significant in environmental science field.This paper presents a soil water data assimilation scheme which based on Variable Infiltration Capacity(VIC) and the Ensemble Kalman Filter(EnKF).The scheme was experimented on three land cover types,which are forestry,high cover grass land and low cover grass land,in the Xinjiang Uygur Autonomous Region.During the assimilation process,when heavy rain,the estimated value of new scheme was larger than field surveys.However,when little rain,the estimated value was less than the field survey in high cover grass land and low cover grass land,but larger than field survey in forestry.In general,the experiment results showed that the estimated values of soil moisture by this new scheme were more close to field surveys than the simulated values of VIC,which showed that the proposed soil moisture assimilation scheme based on VIC and EnKF has a preferable result.
【CateGory Index】: S152.7
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