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Forecasting summer convection over the Black Forest: a case study from the Convective and Orographically‐induced Precipitation Study (COPS) experiment
Author(s) -
Richard E.,
Chaboureau J.P.,
Flamant C.,
Champollion C.,
Hagen M.,
Schmidt K.,
Kiemle C.,
Corsmeier U.,
Barthlott C.,
Di Girolamo P.
Publication year - 2011
Publication title -
quarterly journal of the royal meteorological society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.744
H-Index - 143
eISSN - 1477-870X
pISSN - 0035-9009
DOI - 10.1002/qj.710
Subject(s) - convection , precipitation , environmental science , forcing (mathematics) , moisture , climatology , atmospheric sciences , storm , meteorology , geology , physics
In the mid‐afternoon of 15 July 2007, during the Convective and Orographically‐induced Precipitation Study (COPS), in a very warm and dry environment, an isolated, short‐lived, deep convective system developed over the southern Black Forest. Most of the high‐resolution, convection‐permitting models involved in COPS were unable to capture this event whereas the Meso‐NH forecast was quite skilful. To assess the Meso‐NH performance further, the model results were carefully checked against the various and numerous COPS observations. In full agreement with clear‐air radar observations, model results underlined the triggering role of a low‐level convergence line that developed in the lee of the Feldberg. The main departure from the observations was found to be in the low‐level moisture fields, which appeared significantly moister in the model than in the observations and also slightly moister than in the other models. Sensitivity studies showed that this departure from the observations was strongly controlled by the initial surface moisture conditions. When the surface moisture was reduced by 20% or replaced by the value derived from a different analysis, the evolution of the planetary boundary layer was more accurately represented while the storm evolution was still correctly captured. These results demonstrate that the quality of the initial forecast cannot be ascribed to the moist bias of the model. It could therefore be hypothesized that the key parameters for a satisfactory forecast of this event lie more in the ability of the model to reproduce the dynamical forcing accurately than in the characteristics of the air‐mass instability. Copyright © 2011 Royal Meteorological Society