Initiation of deep convection at marginal instability in an ensemble of mesoscale models: a case-study from COPS - Université Pierre et Marie Curie Accéder directement au contenu
Article Dans Une Revue Quarterly Journal of the Royal Meteorological Society Année : 2011

Initiation of deep convection at marginal instability in an ensemble of mesoscale models: a case-study from COPS

Résumé

The present study investigates the initiation of precipitating deep convection in an ensemble of convection-resolving mesoscale models. Results of eight different model runs from five non-hydrostatic models are compared for a case of the Convective and Orographically-induced Precipitation Study (COPS). An isolated convective cell initiated east of the Black Forest crest in southwest Germany, although convective available potential energy was only moderate and convective inhibition was high. Measurements revealed that, due to the absence of synoptic forcing, convection was initiated by local processes related to the orography. In particular, the lifting by low-level convergence in the planetary boundary layer is assumed to be the dominant process on that day. The models used different configurations as well as different initial and boundary conditions. By comparing the different model performance with each other and with measurements, the processes which need to be well represented to initiate convection at the right place and time are discussed. Besides an accurate specification of the thermodynamic and kinematic fields, the results highlight the role of boundary-layer convergence features for quantitative precipitation forecasts in mountainous terrain.

Dates et versions

hal-00554852 , version 1 (11-01-2011)

Identifiants

Citer

C. Barthlott, R. Burton, D. Kirshbaum, K. Hanley, E. Richard, et al.. Initiation of deep convection at marginal instability in an ensemble of mesoscale models: a case-study from COPS. Quarterly Journal of the Royal Meteorological Society, 2011, 137 (S1), pp.118-136. ⟨10.1002/qj.707⟩. ⟨hal-00554852⟩
313 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More