C-Band Dual-Doppler Retrievals in Complex Terrain: Improving the Knowledge of Severe Storm Dynamics in Catalonia

dc.contributor.authorMoral Méndez, Anna del
dc.contributor.authorWeckwerth, Tammy M.
dc.contributor.authorRigo, Tomeu
dc.contributor.authorBell, Michael M.
dc.contributor.authorLlasat Botija, María del Carmen
dc.date.accessioned2021-04-08T14:42:17Z
dc.date.available2021-04-08T14:42:17Z
dc.date.issued2020-09-10
dc.date.updated2021-04-08T14:42:17Z
dc.description.abstractConvective activity in Catalonia (northeastern Spain) mainly occurs during summer and autumn, with severe weather occurring 33 days per year on average. In some cases, the storms have unexpected propagation characteristics, likely due to a combination of the complex topography and the thunderstorms' propagation mechanisms. Partly due to the local nature of the events, numerical weather prediction models are not able to accurately nowcast the complex mesoscale mechanisms (i.e., local influence of topography). This directly impacts the retrieved position and motion of the storms, and consequently, the likely associated storm severity. Although a successful warning system based on lightning and radar observations has been developed, there remains a lack of knowledge of storm dynamics that could lead to forecast improvements. The present study explores the capabilities of the radar network at the Meteorological Service of Catalonia to retrieve dual-Doppler wind fields to study the dynamics of Catalan thunderstorms. A severe thunderstorm that splits and a tornado-producing supercell that is channeled through a valley are used to demonstrate the capabilities of an advanced open source technique that retrieves dynamical variables from C-band operational radars in complex terrain. For the first time in the Iberian Peninsula, complete 3D storm-relative winds are obtained, providing information about the internal dynamics of the storms. This aids in the analyses of the interaction between different storm cells within a system and/or the interaction of the cells with the local topography.
dc.format.extent26 p.
dc.format.mimetypeapplication/pdf
dc.identifier.idgrec709588
dc.identifier.issn2072-4292
dc.identifier.urihttps://hdl.handle.net/2445/176071
dc.language.isoeng
dc.publisherMDPI
dc.relation.isformatofReproducció del document publicat a: https://doi.org/10.3390/rs12182930
dc.relation.ispartofRemote Sensing, 2020, vol. 12, num. 18, p.2930
dc.relation.urihttps://doi.org/10.3390/rs12182930
dc.rightscc-by (c) Moral Méndez, Anna del et al., 2020
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es
dc.sourceArticles publicats en revistes (Física Aplicada)
dc.subject.classificationPrevisió del temps
dc.subject.classificationTopografia
dc.subject.classificationTempestes
dc.subject.otherWeather forecasting
dc.subject.otherTopography
dc.subject.otherStorms
dc.titleC-Band Dual-Doppler Retrievals in Complex Terrain: Improving the Knowledge of Severe Storm Dynamics in Catalonia
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion

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