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| Titel |
Downscaling of seasonal soil moisture forecasts using satellite data |
| VerfasserIn |
S. Schneider, A. Jann, T. Schellander-Gorgas |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1027-5606
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| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 18, no. 8 ; Nr. 18, no. 8 (2014-08-06), S.2899-2905 |
| Datensatznummer |
250120427
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| Publikation (Nr.) |
 copernicus.org/hess-18-2899-2014.pdf |
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| Zusammenfassung |
| A new approach to downscaling soil moisture forecasts from the seasonal
ensemble prediction forecasting system of the ECMWF (European Centre for
Medium-Range Weather Forecasts) is presented in this study. Soil moisture
forecasts from this system are rarely used nowadays, although they could
provide valuable information. Weaknesses of the model soil scheme in
forecasting soil water content and the low spatial resolution of the seasonal
forecasts are the main reason why soil water information has hardly been used
so far. The basic idea to overcome some of these problems is the application
of additional information provided by two satellite sensors (ASCAT and
Envisat ASAR) to improve the forecast quality, mainly to reduce model bias
and increase the spatial resolution. Seasonal forecasts from 2011 and 2012
have been compared to in situ measurement sites in Kenya to test this
two-step approach. Results confirm that this downscaling is adding skill to
the seasonal forecasts. |
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