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contributor authorBouttier, François
contributor authorVié, Benoît
contributor authorNuissier, Olivier
contributor authorRaynaud, Laure
date accessioned2017-06-09T17:30:04Z
date available2017-06-09T17:30:04Z
date copyright2012/11/01
date issued2012
identifier issn0027-0644
identifier otherams-86334.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4229881
description abstractstochastic physics scheme is tested in the Application of Research to Operations at Mesoscale (AROME) short-range convection-permitting ensemble prediction system. It is an adaptation of ECMWF?s stochastic perturbation of physics tendencies (SPPT) scheme. The probabilistic performance of the AROME model ensemble is found to be significantly improved, when verified against observations over two 2-week periods. The main improvement lies in the ensemble reliability and the spread?skill consistency. Probabilistic scores for several weather parameters are improved. The tendency perturbations have zero mean, but the stochastic perturbations have systematic effects on the model output, which explains much of the score improvement. Ensemble spread is an increasing function of the SPPT space and time correlations. A case study reveals that stochastic physics do not simply increase ensemble spread, they also tend to smooth out high-spread areas over wider geographical areas. Although the ensemble design lacks surface perturbations, there is a significant end impact of SPPT on low-level fields through physical interactions in the atmospheric model.
publisherAmerican Meteorological Society
titleImpact of Stochastic Physics in a Convection-Permitting Ensemble
typeJournal Paper
journal volume140
journal issue11
journal titleMonthly Weather Review
identifier doi10.1175/MWR-D-12-00031.1
journal fristpage3706
journal lastpage3721
treeMonthly Weather Review:;2012:;volume( 140 ):;issue: 011
contenttypeFulltext


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