Laboratoire de Météorologie Dynamique/IPSL, École Normale Supérieure, PSL Research University, Sorbonne University, École Polytechnique, IP Paris, CNRS, Paris, France
Meryl Wimmer
CNRM, Université de Toulouse, Météo-France, CNRS, Toulouse, France
Philippe Arbogast
Direction des Opérations pour la prévision, Météo-France, Toulouse, France
Jean-Marcel Piriou
CNRM, Université de Toulouse, Météo-France, CNRS, Toulouse, France
Julien Delanoë
LATMOS-IPSL, CNRS/INSU, University of Versailles, Guyancourt, France
Carole Labadie
CNRM, Université de Toulouse, Météo-France, CNRS, Toulouse, France
Quitterie Cazenave
LATMOS-IPSL, CNRS/INSU, University of Versailles, Guyancourt, France
Jacques Pelon
LATMOS-IPSL, CNRS/INSU, University of Versailles, Guyancourt, France
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Total article views: 1,437 (including HTML, PDF, and XML)
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Inacurracies in representing processes occurring at spatial scales smaller than the grid scales of the weather forecast models are important sources of forecast errors. This is the case of deep convection representation in models with 10 km grid spacing. We performed simulations of a real extratropical cyclone using a model with different representations of deep convection. These forecasts lead to different behaviors in the ascending air masses of the cyclone and the jet stream aloft.
Inacurracies in representing processes occurring at spatial scales smaller than the grid scales...