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| Titel |
Land-atmosphere interactions in an high resolution atmospheric simulation coupled with a surface data assimilation scheme |
| VerfasserIn |
L. Campo, F. Castelli, D. Entekhabi, F. Caparrini |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1561-8633
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| Digitales Dokument |
URL |
| Erschienen |
In: Natural Hazards and Earth System Science ; 9, no. 5 ; Nr. 9, no. 5 (2009-09-30), S.1613-1624 |
| Datensatznummer |
250006983
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| Publikation (Nr.) |
 copernicus.org/nhess-9-1613-2009.pdf |
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| Zusammenfassung |
| A valid tool for the retrieving of the turbulent fluxes that characterize the
surface energy budget is constituted by the remote sensing of land surface
states. In this study sequences of satellite-derived observations (from
SEVIRI sensors aboard the Meteosat Second Generation) of Land Surface
Temperature have been used as input in a data assimilation scheme in order to
retrieve parameters that describe energy balance at the ground surface in the
Tuscany region, in central Italy, during summer 2005. A parsimonious 1-D
multiscale variational assimilation procedure has been followed, that
requires also near surface meteorological observations. A simplified model of
the surface energy balance that includes such assimilation scheme has been
coupled with the limited area atmospheric model RAMS, in order to improve in
the latter the accuracy of the energy budget at the surface. The coupling has
been realized replacing the assimilation scheme products, in terms of surface
turbulent fluxes and temperature and humidity states during the
meteorological simulation. Comparisons between meteorological model results
with and without coupling with the assimilation scheme are discussed, both in
terms of reconstruction of surface variables and of vertical characterization
of the lower atmosphere. In particular, the effects of the coupling on the
moisture feedback between surface and atmosphere are considered and estimates
of the precipitation recycling ratio are provided. The results of the
coupling experiment showed improvements in the reconstruction of the surface
states by the atmospheric model and considerable influence on the atmospheric
dynamics. |
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