Accueil > Actualités > Séminaires > Séminaire de Chris SNYDER


Titre : Ensemble data assimilation across a range of scales and phenomena
Nom du conférencier : Chris Snyder
Son affiliation : National Center for Atmospheric Research, Boulder, Colorado, U.S.A.
Laboratoire organisateur : LMD
Date et heure : 28-10-2010 14h30
Lieu : LMD-ENS, Salle E314 du Dept des Géosciences, 24 rue Lhomnd, 75005
Résumé :

Ensemble Kalman filters are appealing for mesoscale data assimilation in the atmosphere because of the generality of their background covariance model, which potentially is applicable across a range of flows and phenomena. A team of university and NCAR scientists have developed a set of interfaces and observation operators for the Weather Research and Forecasting model (WRF) within the Data Assimilation Research Testbed (DART). DART is a software facility for data assimilation that includes a variety of model-independent ensemble filtering schemes. I will give an introduction to the ensemble Kalman filter and present results from applications to convective storms (using Doppler radar observations and resolution of ~1 km), tropical cyclones (using conventional observations and resolution of ~10 km) and mesoscale analyses based on surface observations (at resolution of ~10 km).

Contact :

Riwal Plougonven, Laboratoire de Météorologie Dynamique, Ecole Normale Supérieure, 24 rue Lhomond, 75005 Paris,

tel: 01 44 32 27 31