final_program_abstracts[1]

11 IMSC Session Program
Statistical correction of daily precipitation from RCM in the
Czech Republic and results for precipitation indices
Wednesday - Poster Session 5
Jana Pechková 1 , Petr Štěpánek 1 , Jiří Mikšovský 2 and Ladislav Metelka 1
1
Czech Hydrometeorological Institute, Czech Republic
2 Dep. of Meteorology and Environ. Protection, Charles University, Czech Republic
Regional climate model ALADIN-Climate/CZ (with GCM ARPEGE-Climat as the
lateral forcing) has been used to simulate daily precipitation values in period 1961 –
1990 in the Czech Republic. As the validation showed, some postprocessing methods
should be used for correcting climate output according to the observed ones. The
precipitation data from ALADIN-Climate/CZ were corrected with the help by two
statistical methods (neural networks and method designed by Piani et al.) and all
simulated and corrected precipitation datasets from the RCM were compared to
gridded dataset of station observations. Some precipitation indices (climatological
precipitation, mean wet-day precipitation, percentage of wet days, mean dry-day
persistence, percentage of wet days above 10 mm per day and percentage of wet days
above 20 mm per day) were calculated with RCM’s simulated and corrected
precipitation datasets and compared to precipitation indices of observation data on
maps of the Czech Republic to investigate the spatial distribution of the differences.
Abstracts 210