Deep Convection Triggering by Boundary Layer Thermals. Part I: LES Analysis and Stochastic Triggering Formulation

Nicolas Rochetin (1) , Fleur Couvreux (2) , Jean-Yves Grandpeix (1) , Catherine Rio (1)

1 LMD - Laboratoire de Météorologie Dynamique (UMR 8539)
2 CNRM - Centre national de recherches météorologiques

This paper proposes a new formulation of the deep convection triggering for general circulation model convective parameterizations. This triggering is driven by evolving properties of the strongest boundary layer thermals. To investigate this, a statistical analysis of large-eddy simulation cloud fields in a case of transition from shallow to deep convection over a semiarid land is carried out at different stages of the transition from shallow to deep convection. Based on the dynamical and geometrical properties at cloud base, a new computation of the triggering is first proposed. The analysis of the distribution law of the maximum size of the thermals suggests that, in addition to this necessary condition, another triggering condition is required, that is, that this maximum horizontal size should exceed a certain threshold. This is explicitly represented stochastically. Therefore, the new formulation integrates the whole transition process from the first cloud to the first deep convective cell and can be decomposed into three steps: (i) the appearance of clouds, (ii) crossing of the inhibition layer, and (iii) deep convection triggering.

Domains: Climatology

Nicolas Rochetin, Fleur Couvreux, Jean-Yves Grandpeix, Catherine Rio. Deep Convection Triggering by Boundary Layer Thermals. Part I: LES Analysis and Stochastic Triggering Formulation. Journal of the Atmospheric Sciences, 2014, 71 (2), pp.496-514. ⟨10.1175/JAS-D-12-0336.1⟩. ⟨hal-01083240⟩