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AER sub-project: report to GEMS plenary

AER sub-project: report to GEMS plenary. Olivier Boucher GEMS - Kick-off meeting - 4-6 July 2005. GEMS-aerosol mailing list gems-aerosol@univ-lille1.fr Archive on http://wwsympa.univ-lille1.fr/wws Please ask me if you would like to be added on the list.

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AER sub-project: report to GEMS plenary

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  1. AER sub-project: report to GEMS plenary Olivier Boucher GEMS - Kick-off meeting - 4-6 July 2005

  2. GEMS-aerosol mailing list gems-aerosol@univ-lille1.fr Archive on http://wwsympa.univ-lille1.fr/wws Please ask me if you would like to be added on the list. Minutes and list of actions to be circulated on this mailing list.

  3. WP1 - Direct modelling Very good start! Initial focus on dust and sea-salt (next 2 months) Modelling of other aerosol components (BC, OC, sulfate, BB) Testing of parametrisations ------------------------------------------------------------------------- Action: meeting to be arranged between MetOffice/SA-UPMC/ECMWF to address the issue of stratospheric aerosols Action: check with RAQ how best we can best provide boundaries Model validation of transport needed: trop-strat exchange

  4. WP2 - Emissions Inventory of inventories available! Dust and sea-salt emissions are parametrized. Biomass burning: GWEM, modified for fire counts + BUOYANT analytical model for height Consistency with other sub-projects Vertical dependence (stack heights) Diurnal, weekly, and seasonal variations

  5. WP3 - Data assimilation The logical split of work is - background error covariance matrix: ECMWF - observation error covariance matrix: CEA-IPSL-LSCE with inputs from ECMWF, CNRS-LOA, and Met Office. Meeting to be arranged. Set up a methodology and apply it to MODIS/MERIS/ATSR/SEVIRI ------------------------------------------------------------------------- Action: meeting to be arranged between SA-UPMC/ECMWF/IASB to address the issue of data assimilation for stratospheric aerosols

  6. WP4 - Model evaluation - Correlation coefficients (observed vs simulated aerosol properties) - current models perform well on monthly means - challenge will be to get good correlation on daily means - Linear fits: slope, offset - Root-mean square errors - largely used in RAQ - Taylor diagrams - summarizes model performance in terms of correlation coefficient, standard deviation, and RMS. - Figures of merit - useful to test the transport for particular events - has been used for ETEX

  7. WP4 - Model evaluation • Report on skill scores: earlier delivery (T0+6months) • Initial focus on dust and sea-salt (next 2 months) • measurement groups to come with selection of events • periods cover years 2000 and 2003/2004 • subset of AERONET stations, GAW sites, lidar site • table (lat, long, aerosol prop, sampling) ==> JJM • More complete model evaluation • table of skill scores for aerosol properties and dataset • AEROCOM validation + more detailed validation • using additional in-situ surface and aircraft data • 2000 and 2003/2004 for consistency with other sub-projects

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