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| Titel |
Assessing the predictive skill of satellite-based precipitation estimates in hydrologic applications |
| VerfasserIn |
E. Wood, M. Pan, H. Li |
| Konferenz |
EGU General Assembly 2009
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 11 (2009) |
| Datensatznummer |
250031434
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| Zusammenfassung |
| One of the important applications of GPM-Era precipitation products would be to provide forcing inputs for hydrologic applications. As direct comparison between satellite-based estimates and in-situ precipitation measurements does not reveal how skillful satellite retrievals are in hydrologic applications. Thus, we evaluate their predictive skills by forcing a Land Surface Model (LSM) with both satellite and in-situ measurements, and calculating the skill of the satellite products in predicting hydrologic states and fluxes useful for water resource applications: e.g. soil moisture (SM), runoff (Q), evapotranspiration (ET), and river streamflow. A number of products ranging from microwave, microwave+infrared, to gauge-corrected estimates are tested, and for the skill reference of thesatellite retrievals, estimates from global/regional reanalyses are tested as well. |
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