New datasets to estimate terrestrial water storage change

P.A. Troch, M. Durcik, S. Seneviratne, M. Hirschi, A.J. Teuling, R.T.W.L. Hurkmans, S. Hasan

Research output: Contribution to journalArticleAcademicpeer-review

22 Citations (Scopus)

Abstract

The total amount of water stored in a river basin affects streamflow at various timescales and defines the river basin's response to atmospheric forcing. For example, spring runoff in mountainous midlatitude catchments depends on winter snowpack, and groundwater storage sustains flow during dry periods. An accurate estimation of terrestrial water storage (TWS) is thus paramount for improved water management. Direct determination of TWS is difficult due to insufficient in situ data on space-time variability of hydrologic stores (snow, soil moisture, groundwater) and fluxes (precipitation, evapotranspiration). However, alternative methods using new data sets show great potential to improve the estimation of intra-annual and interannual TWS dynamics
Original languageEnglish
Pages (from-to)469-470
JournalEOS: Transactions, American Geophysical Union
Volume88
Issue number45
DOIs
Publication statusPublished - 2007

Fingerprint Dive into the research topics of 'New datasets to estimate terrestrial water storage change'. Together they form a unique fingerprint.

Cite this