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Séminaire

Titre : Ensemble-based Data Assimilation with the Weather Research and Forecasting (WRF) Model – Studies for Improving Tropical Cyclone Forecasts
Nom du conférencier : Takemasa Miyoshi
Son affiliation : Department of Atmospheric and Oceanic Science, University of Maryland
Laboratoire organisateur : LMD
Date et heure : 25-06-2012 14h30
Lieu : Salle E314 du departement de geoscience de l'ENS
Résumé :


Séminaire organisé par le groupe SAMA

 

Data assimilation and predictability studies on Tropical Cyclones with a particular focus on intensity forecasts are performed with the newly-developed Local Ensemble Transform Kalman Filter (LETKF) system with the WRF model. Taking advantage of intensive observations of the internationally collaborated T-PARC (THORPEX Pacific Asian Regional Campaign) project, we focus on Typhoon Sinlaku (2008) which intensified rapidly before making landfall to Taiwan. This study includes a number of data assimilation experiments and sensitivity analysis which quantifies impacts of observations on forecasts. Recent achievements include higher-resolution data assimilation with two-way nested domains as well as improved forecasts due to including SST uncertainties in ensemble-based data assimilation.