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Latent heat fluxes simulated with a non-hydrostatic weather forecast model using actual surface properties from measurements and remote sensing |
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| Authors: | Claudia Heret Antje Tittebrand Franz H Berger |
| Institution: | 1. Deutscher Wetterdienst, Meteorologisches Observatorium Lindenberg, Richard-A?mann- Observatorium, Am Observatorium 12, D-15848 Tauche, OT, Lindenberg, Germany 2. Dresden University of Technology, Institute of Hydrology and Meteorology, Dresden, Germany 3. German Meteorological Service, Meteorological Observatory Lindenberg, Lindenberg, Germany |
| Abstract: | In this study the influence of land-surface parameters on latent heat fluxes simulated with the numerical weather prediction model Lokalmodell (LM) of the German Meteorological Service is investigated. The area of interest is the LITFASS area during the LITFASS-2003 campaign. Based on simulations with varying soil and vegetation properties, we confirm that simulated latent heat fluxes strongly depend on soil moisture and leaf area index. Both parameters are difficult to obtain from in situ measurements with sufficient spatial resolution over heterogeneous land surfaces. Therefore, a procedure is proposed to determine area average values of soil moisture from time domain reflectometer measurements performed at a limited number of sites. The area averages cover the 7 × 7 km2 grid cells of the LM around Lindenberg (south-east of Berlin). Furthermore, satellite inferred plant parameters from NOAA–AVHRR are used to initialise model runs; the derived vegetation parameters show notable differences with those in the standard input of LM. The latent heat fluxes from the LM are compared with the aggregated eddy-covariance-measurements, and while the operational LM shows a strong overestimation of latent heat fluxes, it is demonstrated that the application of land-surface parameters derived from measurements can significantly reduce the deviation between the simulated and measured latent heat fluxes. |
| Keywords: | Leaf area index Mesoscale model Plant cover Remote sensing Soil water content Turbulent fluxes |
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