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Presentation of the GEMS-aerosol sub-project GEMS kick-off meeting Hamburg, 4-6 July 2005. PARTNERS - Met Office, UK (coordination) - ECMWF - CNRS-LOA, France - CEA-IPSL-LSCE, France - UPMC-SA, France - NUIG, Ireland - RMIB, Belgium - DWD, Germany - MPI-M, Germany - FMI, Finland
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Presentation of the GEMS-aerosol sub-project GEMS kick-off meeting Hamburg, 4-6 July 2005
PARTNERS - Met Office, UK (coordination) - ECMWF - CNRS-LOA, France - CEA-IPSL-LSCE, France - UPMC-SA, France - NUIG, Ireland - RMIB, Belgium - DWD, Germany - MPI-M, Germany - FMI, Finland - DLR, Germany (no-cost partner) The consortium cover competences in modelling, data assimilation, data from satellite and ground, and in-situ ground measurements.
ESA NASA Fire counts GEIA / ACCENT / RETRO / EMEP RAQ Emission maps AER_2 Emissions Emissions Boundary conditions Global aerosol monitoring system Aerosol models PHOENICS / PARTS AER_1 Aerosol model DAEDALUS / ASSET Methodology Heterogeneous chemistry AER_3 Data assimilation GRG Oxidants GlobAER (ESA) Aerosol satellite data (AOD, radiances) AER_4 validation GHG ESA EUMETSAT NASA Various datasets / CREATE
GEMS-Aerosol AER_1: Implementation of the direct physical aerosol model in the ECMWF model(O.Boucher, J. Feichter, J.-J. Morcrette, others) > implementation of parametrisations for tropospheric aerosols > implementation of parametrisations for stratospheric aerosols > implementation of new emission inventories > implementation of aerosol optical properties > production of test simulations Met Office, MPI-M, CEA-IPSL-LSCE, ECMWF, SA-UPMC Different aerosol physics and chemistry will be tested Criteria for model implementation - parametrisations need to be consistent with the ECMWF physics - skill scores - computer time Tremendous progress in the last 6 months thanks to JJM’s work at ECMWF
GEMS-Aerosol AER_2: Refinement of aerosol emission sources (M.Sofiev) > update and assimilation of the anthropogenic emission inventories of aerosol and its precursors > assimilation of information on wild fires > quantification of the wind-blown dust emission from desert areas > quantification of the wind-blown sea salt emission > sources of stratospheric aerosols FMI, CEA-IPSL-LSCE, MPI-M, SA-UPMC Work started - M. Sofiev (FMI) + J. Flemming (HALO) + ACCENT meeting in Jan. Cross-cutting issue with RAQ, GRG, and GHG We have to give a lot of thinking on biomass burning emissions: What we do now has to be compatible with what can be made operational in the future.
GEMS-Aerosol AER_3: Aerosol data assimilation (J-J Morcrette) > adaptation of RT codes for SW and LW radiances in nadir geometry > preparation and harmonisation of aerosol satellite data sets > error covariance matrices > test of a 1D-Var system using aerosol products > test of a 1D-Var system using aerosol radiances ECMWF, CEA-IPSL-LSCE, Met Office, CNRS-LOA, SA-UPMC Probably the work package which needs most coordination! 4D-VAR of aerosols properties and radiances is something NEW.
GEMS-Aerosol AER_4: Evaluation of the model and analyses (C.O’Dowd, I. Chiapello) > assessment of diagnostics and skill scores > evaluation of aerosol radiative properties and associated radiative fluxes > evaluation of aerosol physico-chemical properties > analysis of model results with respect to air quality NUIG, CNRS-LOA, CEA-IPSL-LSCE, DWD, ECMWF, MPI-M, RMIB, SA-UPMC The basic idea is to use - AEROCOM for global, monthly-mean model validation - a variety of comparisons to measurements for validating the details (transport, dust events, chemical composition over Europe, etc…). Validation of aerosol properties but also radiation.
Physics Physics with prognostic aerosols Radiation Radiation Vertical diffusion Aerosol sources Mass-flux convection Dry deposition Large-scale condensation Sedimentation Cloud scheme Vertical diffusion Mass-flux convection Large-scale condensation Cloud scheme Scavenging in- and below clouds Aerosol budget Aerosol radiance diagnostics Development of a prognostic aerosol packagein the ECMWF model New routine Modified routine Unchanged (at present)
Surface source flux Sedimentation flux What has been done within the forecast model Bin 1: 0.03 – 0.5 mm Configuration B: sea salt a la LMD-Z
Surface source flux Sedimentation flux Bin 2: 0.5 – 5 mm
Surface source flux Sedimentation flux Bin 3: 5 – 20 mm
Cross-cutting issues Emissions - consistency with GRG and RAQ - NRT biomass burning emissions Oxidant fields from GRG Heterogeneous chemistry ==> GRG Technical aspects: positiveness, data assimilation, data flow …