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Cotton, J.; Francis, P.; Heming, J.; Forsythe, M.; Reul, Nicolas; Donlon, C.. |
A new generation of L-band sensors, such as ESA's Soil Moisture Ocean Salinity (SMOS) mission, have the capability to provide information on the ocean-surface wind speed under high wind and rain conditions. In this study we evaluate the use of SMOS wind speeds within Met Office numerical weather prediction (NWP). Observation minus model background (O-B) departure statistics are used to investigate SMOS error characteristics, quality flags, and develop a quality control method. Observation errors and spatial correlation distances are estimated using a statistical method. Observing system experiments are performed to diagnose the impact of SMOS on NWP forecasts and analyses, including tropical cyclone (TC) predictions. The quality of SMOS retrievals appears... |
Tipo: Text |
Palavras-chave: SMOS; L-band wind speed; Data assimilation; Tropical cyclones; NWP. |
Ano: 2018 |
URL: https://archimer.ifremer.fr/doc/00417/52868/53782.pdf |
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