A GRACE- based water storage deficit approach for hydrological drought characterization

被引:397
作者
Thomas, Alys C. [1 ]
Reager, John T. [1 ,2 ]
Famiglietti, James S. [1 ,2 ,3 ]
Rodell, Matthew [4 ]
机构
[1] Univ Calif Irvine, Dept Earth Syst Sci, Irvine, CA 92697 USA
[2] Univ Calif Irvine, UC Ctr Hydrol Modeling, Irvine, CA USA
[3] Univ Calif Irvine, Dept Civil & Environm Engn, Irvine, CA USA
[4] NASA, Goddard Space Flight Ctr, Hydrol Sci Lab, Greenbelt, MD 20771 USA
关键词
GRACE terrestrial water storage; water storage deficit; GRACE-identified hydrological drought; drought severity; DEPLETION;
D O I
10.1002/2014GL059323
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
We present a quantitative approach for measuring hydrological drought occurrence and severity based on terrestrial water storage observations from NASA's Gravity Recovery and Climate Experiment (GRACE) satellite mission. GRACE measurements are applied by calculating the magnitude of the deviation of regional, monthly terrestrial water storage anomalies from the time series' monthly climatology, where negative deviations represent storage deficits. Monthly deficits explicitly quantify the volume of water required to return to normal water storage conditions. We combine storage deficits with event duration to calculate drought severity. Drought databases are referenced to identify meteorological drought events in the Amazon and Zambezi River basins and the southeastern United States and Texas regions. This storage deficit method clearly identifies hydrological drought onset, end, and duration; quantifies instantaneous severity and peak drought magnitude; and compares well with the meteorological drought databases. It also reveals information about the hydrological effects of meteorological drought on regional water storage. Key Point <list list-type="bulleted" id="grl51443-list-0001"> <list-item id="grl51443-li-0001">GRACE-based drought severity using water storage rather than just precipitation explicitly quantifies the volume of water needed to return to normal conditions and identifies hydrological drought onset, peak magnitude, duration, and severity
引用
收藏
页码:1537 / 1545
页数:9
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