Abstract : 1C.18
Climatologic data downscaling with simplified dynamical models

Martin Gera, Ïuran Basták, Ingrid Damborská, Radovan Drinka
Comenius University

Dynamic adaptation is a process, which allows improving the quality of analysed meteorological data effectively. This method improves the density of grid points with preservation of dynamic consistency among meteorological variables. This effect is mainly important in the territory with varied orography. The resolution of global climatologic circulation models (GCCM) or results from ERA data is about hundred square kilometres. For regional data analysis, where the mountain effects are important, it is necessary to use sophistic methods to interpret model outputs. One way, how to obtain suitable data, is application of simplified numerical model to the sparse data from GCCM or ERA. These data are applied for model initialization and for coupling. For the reason of dynamic adaptation and not classical integration of the model, the model is forced with constant lateral condition in time. Some filtered (Quasi-Geostrophic Equivalent Barotropic Model and Adiabatic-Arakawa -Lamb) models are used and investigated for these purpose. Results are verified on the ERA data and compared with numerical model ALADIN. This cost effective methods, which increase the data resolution, allow us to apply these results, for example, to the investigation of land-energy utilization, create the maps for prevalent wind and choose the suitable territory for wind power-plant building.