The Climate mode of the Local Model and the CLM-Community
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1 The Climate mode of the Local Model and the CLM-Community Community A.Will (BTU Cottbus)
2 Developed Developed by the by CLM-Community the CLM-Community in cooperation with the German weather German service weather service Atmospheric Chemistry Department MPIfC Swen Metzger Geophysics and Meteorology Kai Born Environmental Meteorology Inst. of Astron. and Geophysics G.Lemaître Andreas Will Jean Pascal van Ypersele Institute of Meteorology and Space Science Troposphere (IMK-TRO) Uwe Ulbrich Gerd Schädler Atmospheric and Climate Science Atmosphere and Environment Institute of Bioclimatology Coastal Research Environment and Sustainability Univ. Götting Ispra Christoph Schär Bodo Ahrens Gode Gravenhorst Burkhardt Rockel Alessandro Dosio Atmospheric Env.. (IMK-IFO) IFO) Meteorological Institute Model and Data Potsdam Climate Impact Research and Development Wegener Center for Climate and Global Change Gerd Smiatek Susanne Bachner Michael Lautenschlager Uwe Böhm Ulrich Schättler Andreas Gobiet CLM Community 2006: 43 Members from 16 Institutions CLM Community 2007: 48 Members from 16 Institutions
3 1. Activities CLM Community Activities TERRA3D/VEG3D/CLM Unified model version COSMO/CLM 4.1 Unified Preprocessor PEP/GCM GCM-converters/int2lm/ Systematic model evaluation Model Application in different (present( day and future) climates Cloud/Aerosol interaction Communication via mailinglist, homepage community.eu and at meetings Many ideas Conservation properties In-/Outflow lateral boundary conditions Snow and glacier model (z.b. Gletscher) Hydrological model Regional ocean model/mediterranean mediterranean
4 Introduction CLM Features Model Results
5 Introduction CLM Features Model Results Features of int2clm Work in Progress: int2clm + int2lm = int2lm_2
6 Prospects and Challenges of Joining Skills of COSMO and CLM A.Will (BTU Cottbus)
7 Space-Time Scales of Numerical Models RCM-WPM WPM: : CLM=LM Better WPM = Better RCM? Separation of model physics and initial conditions RCM GCM Weather statistics and Case studies Stationary statistics and Sensitivity analysis Conservation principles Relevance of scale interaction between convective and large scales Relevance of nonhydrostatic effects and microphysics for climate dynamics WPM Systematic reduction of model uncertainties Introduction CLM Features Model Results
8 Climate Mode, mean July [mm]
9 Joining Skills of weather forecast Weather Forecast Detailed analysis of weather phenomena in a nonhydrostatic model Extended model tests in the operational wether forecast Systematic development of physical parameterizations Further development of numerical schemes for improved operational weather forecast and regional climate prediction using the hybrid LM/CLM and climate modelling Climate Modelling Lets start the first cooperations! Separation of model physics, initial and boundary conditions and data assimilation Detection of potential short-comings of LM clearly visible in long-term integrations. Assessment of climatologically relevant components (hydrological cycle, soil, conservation principles). Further development of the climate mode: open boundary conditions, new modules for aerosols, chemistry, biosphere and SST-dynamics, globally conserving and dispersion free numerical schemes
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