ASSIMILATION OF SATELLITE SOIL MOISTURE DATA INTO RAINFALL-RUNOFF MODELLING FOR SEVERAL CATCHMENTS WORLDWIDE

被引:10
|
作者
Brocca, Luca [1 ]
Moramarco, Tommaso [1 ]
Dorigo, Wouter [2 ]
Wagner, Wolfgang
机构
[1] CNR, Res Inst Geohydrol Protect, Perugia, Italy
[2] Vienna Univ Technol, Dept Geodesy & Geoinformat, Vienna, Austria
关键词
Soil moisture; data assimilation; remote sensing; rainfall-runoff modelling; ASCAT; PRODUCTS; SURFACE;
D O I
10.1109/IGARSS.2013.6723273
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
The assimilation of satellite soil moisture data into rainfall-runoff modelling represents an important issue not only for research purposes but also for hydrological application addressing flood forecasting. Notwithstanding the large effort made in the last three decades, only few studies demonstrated a benefit deriving from the use of satellite soil moisture data in hydrology. This matter can be ascribed to the differences in the quality of the assimilated data, in the climatic conditions and in the data assimilation techniques that have been adopted. Based on that, this study compares different satellite soil moisture products in different catchments worldwide to shed light about the more suitable products and climatic conditions that should be employed for improving runoff prediction. The results reveal that the employed soil moisture products can be conveniently used to improve runoff prediction. However, reliability differs according to the climatic region and the accuracy of satellite retrievals.
引用
收藏
页码:2281 / 2284
页数:4
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