DATA ASSIMILATION IN WAVE MODELLING – OPERATIONAL USE AND VALIDATION

摘要

WAM model (ECMWF version) has been used and further developed from the Atmospheric Modeling and Weather Forecasting Group of University of Athens in cooperation with ECMWF. The new model version is fully parallelized so to operate in distributed memory environments like linux clusters of scalar processors. Because of its capability to run on parallel it is possible to operate in high resolution even at its global configuration. The model includes data assimilation systems for altimetry data from different kind of platforms. The assimilation methodology developed by our group includes corrections by Kolmogorov-Zurbenko and Kalman filtering techniques for wave measurements. In this paper, some first evaluation results are discussed.