Monitoring Soil Moisture Change in North Africa with Using Satellite Remote Sensing and Land Data Assimilaiton System

被引：0
|
作者：
Lu, Hui [1 ]
Koike, Toshio [1 ]
Fujii, Hideyuki [1 ]
Ohta, Tetsu [1 ]
Tamagawa, Katsunori [1 ]
机构：
[1] Univ Tokyo, Dept Civil Engn, Bunkyo Ku, Tokyo 1138656, Japan
来源：
2009 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-5 | 2009年
关键词：
Remote Sensing; Soil Moisture; AMSR-E; Data Assimilation; AMSR-E DATA; RADIOFREQUENCY INTERFERENCE; RETRIEVAL; ENERGY; MODEL;
D O I：
10.1109/IGARSS.2009.5418263
中图分类号：
P [天文学、地球科学];
学科分类号：
07 ;
摘要：
In this study, we generated and compared two sets of soil moisture data in the North Africa region, by using the land data assimilation system developed at the University of Tokyo (LDAS-UT) which is driven by the NECP reanalysis data and UKMO forcing data, separately. GPCP precipitation data was used as reference data for the indirect validation, after its accuracy was confirmed by comparing it with the in-situ observation in the Medjerdah Basin. The soil moisture generated by LDAS-UT with NECP forcing is in a good relationship to the GPCP rainfall data, while that generated by LDAS-UT with UKMO forcing is mismatching with the GPCP precipitation patterns.
引用
收藏
页码：1223 / 1226
页数：4
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