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On the improvement of ASCAT wind data assimilation in global NWP

Wenming Lin, Marcos Portabella, Ad Stoffelen, Giovanna De Chiara, Justino Martínez

The assimilation of Advanced Scatterometer (ASCAT) winds has proven to be beneficial for the European Center for Medium Range Weather Forecasting (ECMWF) system, particularly over the Tropics. In this study, several important aspects of the ASCAT data are addressed in order to further test and improve the impact of scatterometer wind data assimilation into ECMWF Integrated Forecasting System (IFS). First, an improved wind quality control (QC) is proposed and used to remove unrepresentative ASCAT winds. Second, a new ASCAT wind product, more representative of the ECMWF model resolved scales, is produced by averaging the relatively-high resolution ASCAT wind vector cells to lower resolution in an aggregation process. Two months of ASCAT low resolution data are then used to evaluate the impact of the refined QC and the aggregation technique on the IFS data assimilation.

Bibliografische gegevens

Wenming Lin, Marcos Portabella, Ad Stoffelen, Giovanna De Chiara, Justino Martínez . On the improvement of ASCAT wind data assimilation in global NWP
Journal: 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Year: 2017, doi: https://doi.org/10.1109/IGARSS.2017.8126980

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