A MULTI-SOURCES DATA ASSIMILATION SYSTEM FOR CATCHMENT SCALE RESEARCH

被引：1

作者：

Han, Xujun ^{[1
]}

Li, Xin ^{[1
]}

Zhang, Yanlin ^{[1
]}

Kang, Jian ^{[1
]}

机构：

[1] Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Lanzhou 730000, Gansu, Peoples R China

来源：

2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2012年

关键词：

Data assimilation; Remote sensing; Land surface model; SOIL-MOISTURE; TEMPERATURE;

D O I：

10.1109/IGARSS.2012.6352561

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A multi-sources data assimilation system has been developed for the catchment scale land water and energy cycle researches. The land surface model, microwave radiative transfer model and ensemble Kalman filter have been coupled in this system, the high performance computing was also considered. This system is being used in the data assimilation of soil moisture, soil temperature, microwave brightness temperature and snow water equivalent at catchment scale.

引用

页码：6960 / 6962

页数：3

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