The signature of the main modes of climatic variability as revealed by the Jenkinson‐Collison classification over Europe

Abstract The Jenkinson‐Collison Weather Typing (JC‐WT) method uses sea‐level pressure gradients to create 27 types based on the geostrophic flow and vorticity around any extratropical target location. Typically, JC‐WTs are applied over specific locations or limited domains, thus hampering the unders...

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Bibliographic Details
Published in:International Journal of Climatology
Main Authors: Fernández‐Granja, Juan A., Bedia, Joaquín, Casanueva, Ana, Brands, Swen, Fernández, Jesús
Other Authors: ESF, Ministerio de Ciencia e Innovación, Ministerio para la Transición Ecológica y el Reto Demográfico, HORIZON EUROPE Framework Programme
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2024
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Online Access:http://dx.doi.org/10.1002/joc.8569
https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/joc.8569
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Summary:Abstract The Jenkinson‐Collison Weather Typing (JC‐WT) method uses sea‐level pressure gradients to create 27 types based on the geostrophic flow and vorticity around any extratropical target location. Typically, JC‐WTs are applied over specific locations or limited domains, thus hampering the understanding of the impact of large‐scale mechanisms on regional climate. This study explores the links between regional climate variability, as represented by the JC‐WTs, and large‐scale phenomena, to describe the synoptic‐scale variability in the North Atlantic‐European region and evaluate the JC‐WT methodology. Large‐scale circulation is here characterized by major atmospheric low‐frequency modes, namely the North Atlantic Oscillation, the East Atlantic and the Scandinavian teleconnection indices, and by atmospheric blockings. Results show that JC‐WTs coherently capture the spatial and temporal variability of the large‐scale modes and yields a characteristic response to blocking events. Overall, our results underpin the exploratory potential of this method for the analysis of the near‐surface circulation. These findings endorse the use of JC‐WTs and support the reliability and utility of the JC‐WT classification for process‐based model assessments and model selection, a crucial task for climate impact studies.