Evaporation over a heterogeneous land surface: The EVA-GRIPS Project

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Mengelkamp, H.-T. et al.: Evaporation over a heterogeneous land surface: The EVA-GRIPS Project. In: Bulletin of the American Meteorological Society 87 (2006), Nr. 6, S. 775-786. DOI: https://doi.org/10.1175/BAMS-87-6-775

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Abstract: 
The representation of subgrid-scale surface heterogeneities in numerical weather and climate models has been a challenging problem for more than a decade. The Evaporation at Grid and Pixel Scale (EVA-GRIPS) project adds to the numerous studies on vegetation-atmosphere interaction processes through a comprehensive field campaign and through simulation studies with land surface schemes and mesoscale models. The mixture of surface types in the test area in eastern Germany is typical for larger parts of northern Central Europe. The spatial scale considered corresponds to the grid scale of a regional atmospheric weather prediction or climate model and to the pixel scale of satellite images. Area-averaged fluxes derived from point measurements, scintillometer measurements, and a helicopter-borne turbulence probe were widely consistent with respect to the sensible heat flux. The latent heat flux from the scintillometer measurements is systematically higher than the eddy covariance data. Fluxes derived from numerical simulations proved the so-called mosaic approach to be an appropriate parameterization for subgrid heterogeneity. Copyright 2006 American Meteorological Society
License of this version: Es gilt deutsches Urheberrecht. Das Dokument darf zum eigenen Gebrauch kostenfrei genutzt, aber nicht im Internet bereitgestellt oder an Außenstehende weitergegeben werden.
Document Type: article
Publishing status: publishedVersion
Issue Date: 2006
Appears in Collections:Fakultät für Mathematik und Physik

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pos. country downloads
total perc.
1 image of flag of Germany Germany 8 72.73%
2 image of flag of United States United States 1 9.09%
3 image of flag of Czech Republic Czech Republic 1 9.09%
4 image of flag of Austria Austria 1 9.09%

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