An Integrated Hydrologic Modeling and Data Assimilation Framework

被引：33

作者：

Kumar, Sujay ^{[1
]}

Peters-Lidard, Christa ^{[1
]}

Tian, Yudong ^{[1
]}

Reichle, Rolf ^{[1
]}

Geiger, James ^{[1
]}

Alonge, Charles ^{[1
]}

Eylander, John

Houser, Paul ^{[2
]}

机构：

[1] NASA, Goddard Space Flight Ctr, Washington, DC 20546 USA

[2] George Mason Univ, Fairfax, VA 22030 USA

来源：

COMPUTER | 2008年 / 41卷 / 12期

关键词：

D O I：

10.1109/MC.2008.475

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Recent advances in remote sensing technologies have enabled the monitoring and measurement of Earth's land surface. Such provide data about Earth's vegetation, water, and energy fluxes. These must be integrated with state-of-the-art land-surface model forecasts using data assimilation tools to generate spatially and temporally continuous estimates of environmental conditions. The need to develop modeling systems that identify and represent connections between land-surface hydrology and different components of the Earth system provides another key requirement for advancing hydrological prediction capabilities.

引用

页码：52 / +

页数：9

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