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Data assimilation in WAM4 – System operations and validation

George Kallos(1,1), George Galanis(1) and George Emmanouil(1)

(1) University of Athens, University Campus Bldg PHYS-5, 15784 Athens, Greece

Abstract

A stand-alone version of the new WAM model (version 4) has been developed from the Atmospheric Modeling and Weather Forecasting Group of University of Athens in cooperation with ECMWF. The new model version is recoded in FORTRAN95 and is fully parallelized to operate in distributed memory environments like cheap linux clusters of scalar processors. The model can utilize gridded surface wind fields from global or limited area atmospheric models. It includes data assimilation systems that can utilize altimetry and spectra data from ENVISAT and JASON-1 platforms. The assimilation methodology includes corrections by K-Z and Kalman filtering techniques for both near-surface winds and waves. Because of its capability to run on parallel it is possible to operate in high resolution configuration even at its global configuration. The system is currently running over the Mediterranean Sea with resolution 0.05x0.05 degrees. The global configuration runs with resolution of 0.5x0.5 degrees. The two operational configurations cover forecasting horizons of 5 and 7 days respectively. The model predictions are used in Searouting applications. First evaluation results are discussed.

 

Workshop presentation

Keywords: ESA European Space Agency - Agence spatiale europeenne, observation de la terre, earth observation, satellite remote sensing, teledetection, geophysique, altimetrie, radar, chimique atmospherique, geophysics, altimetry, radar, atmospheric chemistry