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On the Effect of Classical Versus Geopotential-jet Weather Regimes on Wintertime Rainfall Variability: Case of Morocco

Ouaraini, Rachida El; Driouech, Fatima ; Dorrington, Joshua 1; Aabaribaoune, Mohammad El
1 Institut für Meteorologie und Klimaforschung Troposphärenforschung (IMKTRO), Karlsruher Institut für Technologie (KIT)

Abstract:

Rainfall variability in North-West Africa, in particular Morocco, has profound socioeconomic impacts, with climate projections indicating a continued decrease in precipitation. However, interpreting rainfall projections is challenging due to substantial biases in current climate models, partly resulting from their low resolutions compared to precipitation scales. Large-scale North Atlantic atmospheric dynamics, e.g., the NAO, significantly impact Moroccan wintertime rainfall variability. As models resolve these large-scale dynamics comparatively well, we investigate their use as dynamical proxies for Moroccan rainfall variability, from the perspective of Euro-Atlantic weather regimes (WRs). The four classical WRs have previously shown limitations when used for downscaling Moroccan precipitation in the context of climate change (future climate simulations). Here we adopt recently-introduced 'Geopotential-Jet Regimes’ (GJRs), using three and seven clusters, and compare their connection to observed Moroccan rainfall to those of classical WRs. We highlight that the NAO- regime is the main driver of winter rainfall in northwestern Morocco, producing rainfall levels approximately twice the climatological average, and that Scandinavian and European blocking have dramatically different rainfall teleconnections in North Africa. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000180686
Veröffentlicht am 29.04.2025
Originalveröffentlichung
DOI: 10.1007/s41748-025-00604-3
Dimensions
Zitationen: 1
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung Troposphärenforschung (IMKTRO)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 12.2025
Sprache Englisch
Identifikator ISSN: 2509-9426, 2509-9434
KITopen-ID: 1000180686
HGF-Programm 12.11.34 (POF IV, LK 01) Improved predictions from weather to climate scales
Erschienen in Earth Systems and Environment
Verlag Springer International Publishing
Band 9
Heft 4
Seiten 2901–2918
Vorab online veröffentlicht am 05.03.2025
Nachgewiesen in OpenAlex
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Scopus
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