© Crown copyright Met Office EURO4M Work Package 2 (chiefly WP2.1) Richard Renshaw EURO4M GA1, De Bilt, April 14 th 2010.

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Presentation transcript:

© Crown copyright Met Office EURO4M Work Package 2 (chiefly WP2.1) Richard Renshaw EURO4M GA1, De Bilt, April 14 th 2010

© Crown copyright Met Office WP2.1 Building capacity for advanced regional data assimilation (UKMO) WP2.2 Dynamical downscaling of ERA (SMHI) WP2.3 2D mesoscale downscaling (Météo France) WP2.4 Evaluation (MeteoSwiss) WP2.5 Improvement of input data for reanalyses (UEA) Work Package 2

© Crown copyright Met Office WP2.1 Building capacity for advanced regional data assimilation Dale Barker Bruce Macpherson Richard RenshawClive Jones

© Crown copyright Met Office Set up and demonstrate an advanced regional reanalysis system Based on operational North Atlantic/Europe LAM Expecting to run one or two years only WP2.1 Building capacity for advanced regional data assimilation

© Crown copyright Met Office WP2.1 Building capacity for advanced regional data assimilation proposed 12km grid 400 x 384

© Crown copyright Met Office Full model 12km, 70 levels 4D-Var at 36km every 6 hours Variational bias correction Assimilate precipitation WP2.1 Building capacity for advanced regional data assimilation Analysis System

© Crown copyright Met Office Lateral boundary conditions from ERA-Iterim SSTs from OSTIA Observations from ECMWF ERA ODBs to include satellite radiances …plus new data from EURO4M (especially precipitation estimates) WP2.1 Building capacity for advanced regional data assimilation Inputs

© Crown copyright Met Office Variational bias correction Precipitation assimilation LHN (Latent Heat Nudging) to be replaced by Var with outer loop WP2.1 Building capacity for advanced regional data assimilation Scientific development

© Crown copyright Met Office Port NWP system to ECMWF, set up cycling Interface to ODBs (part-funding ECMWF post) Use information on ob quality from ERA reanalyses WP2.1 Building capacity for advanced regional data assimilation Technical work

© Crown copyright Met Office HIRLAM 25km 3D-var reanalysis WP2.2 Dynamical downscaling of ERA (SMHI)

© Crown copyright Met Office SMHI: MESAN Meteo France: SAFRAN WP2.3 2D mesoscale downscaling (Météo France)

© Crown copyright Met Office MeteoSwiss: precipitation variations in Alpine regions. Met Office: compare NAE reanalyses with/without precipitation and ERA-Interim SMHI: compare NAE and HIRLAM MeteoFrance: evaluate MESAN/SAFRAN DWD: verify WV, cloud, precip, radiation with CM-SAF Investigate satellite radiance calibration. WP2.4 Evaluation (MeteoSwiss) Using existing datasets, reanalyses, and datasets developed in WP1

© Crown copyright Met Office Investigate and improve observation archives (surface, sonde, satellite) WP2.5 Improvement of input data for reanalyses (UEA)

© Crown copyright Met Office New state-of-the-art NAE-based regional atmospheric data assimilation reanalysis system HIRLAM-based reanalysis dataset at 25km for most of the past 20yr period New MESAN-SAFRAN downscaling system Evaluation reports for specific components of the different (downscaled) datasets and systems Synthesis report for all evaluation activities in EURO4M Analysis of the improvement of capability for reanalyses through better basic input data Access to in situ datasets not used in existing reanalyses WP2 Deliverables (p.46 DoW)