Hal will be stopped for maintenance from friday on june 10 at 4pm until monday june 13 at 9am. More information
Skip to Main content Skip to Navigation
Journal articles

Object-oriented processing of CRM precipitation forecasts by stochastic filtering

Philippe Arbogast 1 Olivier Pannekoucke 1 Laure Raynaud 1 Renaud Lalanne 1 Etienne Mémin 2
2 FLUMINANCE - Fluid Flow Analysis, Description and Control from Image Sequences
IRMAR - Institut de Recherche Mathématique de Rennes, IRSTEA - Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture, Inria Rennes – Bretagne Atlantique
Abstract : In order to cope with small-scale unpredictable details of mesoscale structuresin cloud-resolving models, it is suggested in this paper to process the modeloutputs following a fuzzy object-oriented approach to extract and trackprecipitating features (associated with a higher predictability than the directmodel outputs). The present approach uses the particle filter method torecognize patterns based on predefined texture or spatial variability of themodel output. This provides an ensemble of precipitating objects, which arethen propagated in time using a stochastic advection-diffusion process. Thismethod is applied to both deterministic and ensemble forecasts provided bythe AROME-France convective-scale model. Specific case studies support theability of the approach to handle precipitation of different types.
Document type :
Journal articles
Complete list of metadata

Cited literature [35 references]  Display  Hide  Download

Contributor : Etienne Memin Connect in order to contact the contributor
Submitted on : Friday, October 21, 2016 - 2:10:53 PM
Last modification on : Monday, May 16, 2022 - 8:20:28 AM


Files produced by the author(s)



Philippe Arbogast, Olivier Pannekoucke, Laure Raynaud, Renaud Lalanne, Etienne Mémin. Object-oriented processing of CRM precipitation forecasts by stochastic filtering. Quarterly Journal of the Royal Meteorological Society, Wiley, 2016, 142 (700), pp.2827-2838. ⟨10.1002/qj.2871⟩. ⟨hal-01378366⟩



Record views


Files downloads