HR: 0800h
AN: GC21A-0141    [Abstracts]
TI: Preliminary Results of High Resolution Regional Climate Simulations in EC FP6 Project CECILIA: Impact of High Resolution on Reproducing Extremes
AU: * Halenka, T
EM: tomas.halenka@mff.cuni.cz
AF: Charles University, Prague, Dept. of Meteorology and Environment Protection, Fac. of Mathematics and Physics, V Holesovickach 2, Prague, 180 00, Czech Republic
AU: Belda, M
AF: Charles University, Prague, Dept. of Meteorology and Environment Protection, Fac. of Mathematics and Physics, V Holesovickach 2, Prague, 180 00, Czech Republic
AU: Miksovsky, J
AF: Charles University, Prague, Dept. of Meteorology and Environment Protection, Fac. of Mathematics and Physics, V Holesovickach 2, Prague, 180 00, Czech Republic
AB: Project EC FP6 CECILIA – Central and Eastern Europe Climate Change Impact and Vulnerability Assessment is studying the impact of climate change in complex topography of the Central and Eastern Europe in high resolution. The impacts on agriculture, forestry, hydrology and air-quality are studied. Resolution of regional climate simulation is an important factor affecting the accuracy of dynamical downscaling of the global changes. Especially the extremes are strongly dependent on the terrain patterns as shape of orography or land use, which can contribute to extreme temperatures or precipitation appearance. Here the preliminary results of ERA40 reanalysis run at 10 km will be compared to previous results at 45 km from the experiment launched in connection to 2002 floods in Czech Republic, where we started to analyze whether RCMs are capable to reproduce extremes that can be quite important feature of changing climate. The experiments are compared in terms of mean temperature and extremes, other characteristics as the days with characteristic temperatures and heatwaves are analized as well. Some precipitation characteristics are compared, too. In the comparison to the real station data for Czech Republic it can be seen there is quite good agreement for 10 km simulation in temperature characteristics, there are still some problems with overestimation of small precipitation and underestimation of high precipitation by the model. The test of double nesting vs. direct forcing by reanalysis will be presented, on the selcted domain of quite big size the benefit of the double nesting can be seen against the results with direct driving of the model by ERA40 data.
DE: 1630 Impacts of global change (1225)
DE: 1637 Regional climate change
DE: 1833 Hydroclimatology
DE: 3337 Global climate models (1626, 4928)
DE: 3355 Regional modeling
SC: Global Environmental Change [GC]
MN: 2007 Fall Meeting