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Quality assessment framework to utilize turbulent flux data for mesoscale models

Wolfgang Babel1, Thomas Foken1
1 Abteilung Mikrometeorologie, Uni Bayreuth,

O 1.3 in Funktion von Ökosystemen

02.04.2009, 09:45-10:00, H8

Spatial heterogeneity has a strong influence on the reliability of meteorologically measured fluxes which transfer energy and matter between a given type of land surface and the atmosphere. The footprint concept is capable of linking observed data with spatial heterogeneity. The aim of this work is to upscale measured fluxes with a certain footprint climatology to a coarser grid size of a mesoscale model, which will be carried out on fluxes above the Tibetan plateau within the CEOP - AEGIS project. In this context a decision supporting scheme is needed whether measurements sufficiently represent fluxes from a certain target area for different grid sizes or additional modeling is needed to operate the desired flux conversion.

Therefore model experiments are carried out with observed and modelled flux data embedded into a  simple artificial landscape, containing two types of land-use. The investigated datasets stem from the LITFASS experiment 2003 in Lindenberg, Germany, whereas modelled timeseries were derived by the SVAT model SEWAB. Respective flux contributions of each land-use type are estimated using a forward lagrangian stochastic model. The results were compared with similar investigations under the very different conditions of the Tibetan plateau. Finally, a suggestion is made how the desired scheme will be structured. For future purposes this scheme should be included in a processing routine of measurement data to be upscaled for grid sizes of 1 up to 3 km.

Letzte Änderung 04.03.2009