Improved Assimilation of Wind Retrievals at Met Norway

Máté Mile, Norwegian Meteorological Institute

  • Roger Randriamampianina, Norwegian Meteorological Institute

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  • Gert-Jan Marseille, Royal Netherlands Meteorological Institute (KNMI)

The variational assimilation system (including 3D- and 4D-Var) of HARMONIE-AROME is widely used for research and operational NWP purposes in Europe. In most cases, the HARMONIE-AROME model and its data assimilation are run on higher resolution (corresponding to around 2.5km grid or smaller) than the remote-sensing observations. In order to improve the use of scatterometer observations, a supermodding (footprint) operator is developed in the variational framework to improve satellite data assimilation. In this part of the study, diagnostic and verification scores are shown with AROME-Arctic model configuration which uses many satellite wind observations including scatterometer.