info:eu-repo/semantics/article
Orographic effects related to deep convection events over the Andes region
Fecha
2013-02Registro en:
Hierro, Rodrigo Federico; Pessano, H.; Llamedo Soria, Pablo Martin; de la Torre, Alejandro; Alexander, Pedro Manfredo; et al.; Orographic effects related to deep convection events over the Andes region; Elsevier Science Inc; Atmospheric Research; 120-121; 2-2013; 216-225
0169-8095
CONICET Digital
CONICET
Autor
Hierro, Rodrigo Federico
Pessano, H.
Llamedo Soria, Pablo Martin
de la Torre, Alejandro
Alexander, Pedro Manfredo
Odiard, A.
Resumen
In this work, we analyze a set of 39 storms which took place between 2006 and 2011 over the South of Mendoza, Argentina. This is a semiarid region situated at mid-latitudes (roughly between 32S and 36S) at the east of the highest Andes tops which constitutes a natural laboratory where diverse sources of gravity waves usually take place. We consider a cultivated subregion near San Rafael district, where every summer a systematic generation of deep convection events is registered. We propose that the lift mechanism required to raise a parcel to its level of free convection is partially supplied by mountain waves (MWs). From Weather Research and Forecasting (WRF) mesoscale model simulations and radar network data, we calculate the evolution of convective available potential energy and convective inhibition indices during the development of each storm. Global Final Analysis is used to construct initial and boundary conditions. Convective inhibition indices are compared with the vertical kinetic energy capable of being supplied by the MWs, in order to provide a rough estimation of this possible triggering mechanism. Vertical velocity is chosen as an appropriate dynamical variable to evidence the presence of MWs in the vicinity of each detected first radar echo. After establishing a criterion based on a previous work to represent MWs, the 39 storms are split into two subsets: with and without the presence of MWs. 12 cases with considerable MWs amplitude are retained and considered. Radar data differences between the two samples are analyzed and the simulated MWs are characterized.