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| Titel |
Evapotranspiration modelling at large scale using near-real time MSG SEVIRI derived data |
| VerfasserIn |
N. Ghilain, A. Arboleda, F. Gellens-Meulenberghs |
| 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 ; 15, no. 3 ; Nr. 15, no. 3 (2011-03-04), S.771-786 |
| Datensatznummer |
250012680
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| Publikation (Nr.) |
 copernicus.org/hess-15-771-2011.pdf |
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| Zusammenfassung |
| We present an evapotranspiration (ET) model developed in the framework of
the EUMETSAT "Satellite Application Facility" (SAF) on Land Surface Analysis
(LSA). The model is a simplified Soil-Vegetation-Atmosphere Transfer (SVAT)
scheme that uses as input a combination of remote sensed data and
atmospheric model outputs. The inputs based on remote sensing are LSA-SAF
products: the Albedo (AL), the Downwelling Surface Shortwave Flux (DSSF) and
the Downwelling Surface Longwave Flux (DSLF). They are available with the
spatial resolution of the MSG SEVIRI instrument. ET maps covering the whole
MSG field of view are produced from the model every 30 min, in
near-real-time, for all weather conditions. This paper presents the adopted
methodology and a set of validation results. The model quality is evaluated
in two ways. First, ET results are compared with ground observations (from
CarboEurope and national weather services), for different land cover types,
over a full vegetation cycle in the Northern Hemisphere in 2007. This
validation shows that the model is able to reproduce the observed ET
temporal evolution from the diurnal to annual time scales for the temperate
climate zones: the mean bias is less than 0.02 mm h−1 and the root-mean
square error is between 0.06 and 0.10 mm h−1. Then, ET model outputs
are compared with those from the European Centre for Medium-Range Weather
Forecasts (ECMWF) and the Global Land Data Assimilation System (GLDAS). From
this comparison, a high spatial correlation is noted, between 80 to 90%,
around midday. Nevertheless, some discrepancies are also observed and are
due to the different input variables and parameterisations used. |
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