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| Titel |
Improving evapotranspiration in a land surface model using biophysical variables derived from MSG/SEVIRI satellite |
| VerfasserIn |
N. Ghilain, A. Arboleda, G. Sepulcre-Cantò, O. Batelaan, J. Ardö, 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 ; 16, no. 8 ; Nr. 16, no. 8 (2012-08-08), S.2567-2583 |
| Datensatznummer |
250013413
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| Publikation (Nr.) |
 copernicus.org/hess-16-2567-2012.pdf |
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| Zusammenfassung |
| Monitoring evapotranspiration over land is highly dependent on the surface state and vegetation dynamics. Data from spaceborn platforms are desirable to complement
estimations from land surface models. The success of daily evapotranspiration monitoring at continental scale relies on the availability, quality and continuity of
such data. The biophysical variables derived from SEVIRI on board the
geostationary satellite Meteosat Second Generation (MSG) and distributed by the Satellite Application Facility on Land surface Analysis (LSA-SAF)
are particularly interesting for such applications, as they aimed at providing continuous and consistent daily time
series in near-real time over Africa, Europe and South America. In this paper, we compare them to monthly vegetation
parameters from a database commonly used in numerical weather predictions (ECOCLIMAP-I), showing the benefits of the new daily products in detecting
the spatial and temporal (seasonal and inter-annual) variability of the vegetation, especially relevant over Africa.
We propose a method to handle Leaf Area Index (LAI) and Fractional Vegetation Cover (FVC) products for evapotranspiration monitoring with a land surface model
at 3–5 km spatial resolution. The method is conceived to be
applicable for near-real time processes at continental scale and relies on the use of a land cover map.
We assess the impact of using LSA-SAF
biophysical variables compared to ECOCLIMAP-I on evapotranspiration estimated by the land surface model H-TESSEL. Comparison with in-situ observations in Europe
and Africa shows an improved estimation of
the evapotranspiration, especially in semi-arid climates. Finally, the impact on the land surface modelled
evapotranspiration is
compared over a north–south transect with a large gradient of vegetation and climate
in Western Africa using LSA-SAF radiation forcing derived from remote sensing. Differences are highlighted. An evaluation against remote sensing derived
land surface temperature
shows an improvement of the evapotranspiration simulations. |
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