Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11765/11017
Diurnal moist convection in Majorca under sea breeze conditions: idealized numerical experiments
Title: Diurnal moist convection in Majorca under sea breeze conditions: idealized numerical experiments
Authors: Martín Martín, JavierRomero, Romualdo
Keywords: Sea breeze convergence; Convection; Orographic forcing; SAL scores
Issue Date: 2019
Publisher: Agencia Estatal de Meteorología
Citation: Sexto Simposio Nacional de Predicción, Memorial Antonio Mestre. Madrid: Agencia Estatal de Meteorología, 2019, p. 543-552
Publisher version: https://dx.doi.org/10.31978/639-19-010-0.543
Abstract: Majorca has the adequate size to develop substantial sea breezes during the warm season, mainly along its long bays, that converge in the interior of the island. This low-level convergence acts as an effective triggering mechanism for thunderstorm development in situations of a convectively unstable air mass. The dependence of this triggering mechanism (intensity and location) on the large-scale flow and the possible role of the prominent orography of the island are two issues of scientific relevance and also of great practical interest for local forecasters. With the aim of analyzing how the synoptic wind interacts with the sea breeze, thirty-two different atmospheric scenarios (plus the non-orographic counterparts) were simulated with the MM5 model at 1 km grid resolution. Results confirm a great sensitivity of the early afternoon breeze convergence and associated convection on the direction of the large-scale flow. The position and extent of the convective area are also strongly conditioned by the orography. The convection is basically modulated by the sea breeze characteristics for the cases with weak synoptic wind intensity, while it is largely activated by the orographic forcing for the cases with higher wind intensity.
Description: Ponencia presentada en: VI Simposio Nacional de Predicción, celebrado en los servicios centrales de AEMET, en Madrid, del 17 al 19 de septiembre de 2018.
URI: http://hdl.handle.net/20.500.11765/11017
Appears in Collections:6º Simposio Nacional de Predicción (2018)


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