1. Jan Karlický, Tomáš Halenka, Michal Belda, Petr Skalák, Zuzana Kluková E-mail: jankarlicky@centrum.cz, tomas.halenka@mff.cuni.cz WRF-CLIM test (period 1991–2000) Domain size: ENSEMBLES 190x206, 25 km resolution, input – ERA40 data Simulations 1990 – 2000, 1990 spin-up, for further nesting on higher resolution grid Reference data source: E-OBS v. 10, resolution 0.25° parameterizations tests (all WRF version 3.3) A: radiation CAM, convection Kain-Fritsch scheme, Yonsei Uni. PBL, surface layer from MM5, Land surface Noah, single moment 6 class microphysics, 27 vertical levels B: radiation CAM, convection Tiedtke scheme (U. of Hawaii version), other parameterization as A C: radiation RRTM (long waves) +Goddard (short waves), convection Grell-Devenyi scheme, other parameterization as A D: radiation RRTM (long waves) +Goddard (short waves), convection Tiedtke scheme, other parameterization as A Acknowledgement This work is partly supported by the project GACR No. P209-11-2405. Authors wish to express their thanks to The Abdus Salam ICTP PWC Group for their long development of the model RegCM used in the study, as well as to the WRF team and community. Further, our thanks go to the ECA&D team for E-OBS gridded data used for validation and result analysis. Authors also thank to all contributors of the ENSEMBLES project for their model simulation results. Charles University in Prague Faculty of Mathematics and Physics Dept. of Meteorology and Environment Protection V Holešovičkách 2, Prague 8, Czech Republic Regional climate simulations with WRF model WRF (D) vs. E-OBS (1991–2000) Summary, outlooks Position of ENSEMBLES model domain in regular longitude-latitude grid Average bias Simulations with RRTM and Goddard radiation – significantly lower biases in temperatures than CAM radiation scheme Differences between WRF versions: WRF 3.3 – slight underestimation, WRF 3.5 – slight overestimation of temperatures Annual cycle well expressed by WRF in Prudence regions (except precipitation in Alpine region) Tendency of overestimation of precipitation – in whole domain and all Prudence regions, especially in mountain regions Move of WRF precipitation maximum against E-OBS maximum, mainly in areas of Central Europe and Czech republic Further performance of nested model simulations with higher resolution grid and their evaluation Inclusion of atmospheric chemistry and aerosol radiation feedbacks using online coupled model of weather and atmospheric chemistry, called WRF/chem WRF vs. other models from ENSEMBLES (period 1961–1990) Domain size: ENSEMBLES 190x206 grid, 25 km resolution ERA40, 1961 – 1990, 1960 spin-up WRF version 3.5, radiation RRTM+Goddard, convection Tiedtke scheme, Yonsei Uni. PBL, surface layer from MM5, Land surface Noah, single moment 6 class microphysics, 30 vertical levels Reference data: E-OBS version 10, resolution 0.25° Comparison in Prudence regions (figure) Model simulations from ENSEMBLES project: DMI, C4, CNRM, CHMI, ICTP, ETHZ, HC_low, HC, KNMI, METNO, MPI, OURANOS, SHMI, UCLM (see table) WRF vs. E-OBS and RCMs, Annual cycles in Prudence regions (1961–1990) WRF (D) and (C) v. E-OBS and RegCM4 model, Annual cycles in European regions (1991–2000) Tmax (°C) Temperature (°C) Tmin (°C) Precipitation (%) Monthly mean temperature (°C) Monthly averaged precipitation (mm) Definition of rectangular regions: RegionSymbolLeft meridian Right meridian Lower parallel Upper parallel EuropeEU−40752575 Central EuropeCE7234555 Czech RepublicCR121948,551 PRUDENCE regions AbbreviationPartner instituteRCM C4C4IRCA3 CNRM ALADIN DMI HIRHAM ETHZETHCLM HC_lowMETO-HC HadRM – low sensitivity HCMETO-HCHadRM CHMI ALADIN ICTP RegCM KNMI RACMO METNOMet.NoHIRHAM MPIMPINETREMO OURANOS CRCM SHMI RCA3 UCLM PROMES Monthly mean temperature (°C)Monthly averaged precipitation (mm) WRF 3.5 vs. E-OBS (1961–1990) Temperature (°C)Tmax (°C) Tmin (°C)Precipitation (%) embedding