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A weather system perspective on winter‐spring rainfall variability in southeastern Australia during El Niño

Hauser, Seraphine ORCID iD icon 1; Grams, Christian M. 1; Reeder, Michael J.; McGregor, Shayne; Fink, Andreas H. ORCID iD icon 1; Quinting, Julian F. ORCID iD icon 1
1 Institut für Meteorologie und Klimaforschung Troposphärenforschung (IMKTRO), Karlsruher Institut für Technologie (KIT)

Abstract:

The El Niño phase of the El Niño Southern Oscillation (ENSO) is typically associated with below-average cool-season rainfall in southeastern Australia (SEA). However, there is also large case-to-case variability on monthly time-scales. Despite recent progress in understanding the links between remote climate drivers and this variability, the underlying dynamical processes are not fully understood. This reanalysis-based study aims to advance the dynamical understanding by quantifying the contribution of midlatitude weather systems to monthly precipitation anomalies over SEA during the austral winter–spring season. A k-means clustering reveals four rainfall anomaly patterns with above-average rainfall (Cluster 1), below-average rainfall (Cluster 2), above-average rainfall along the East Coast (Cluster 3) and along the South Coast (Cluster 4). Cluster 2 occurs most frequently during El Niño, which highlights the general suppression of SEA rainfall during these events. However, the remaining three clusters with local above-average rainfall are found in ∼52% of all El Niño months. Changes of weather system frequency determine the respective rainfall anomaly pattern. ... mehr

Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung Troposphärenforschung (IMKTRO)
KIT-Zentrum Klima und Umwelt (ZKU)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2020
Sprache Englisch
Identifikator ISSN: 0035-9009, 1477-870X
KITopen-ID: 1000119132
HGF-Programm 12.01.02 (POF III, LK 01) Proc.res.f.multisc.predictab.of weather
Erschienen in Quarterly journal of the Royal Meteorological Society
Verlag John Wiley and Sons
Band 146
Heft 731
Seiten 2614-2633
Vorab online veröffentlicht am 28.04.2020
Schlagwörter backward trajectories, clustering, El Niño, rainfall decomposition, rainfall origin, rainfall variability, southeastern Australia, synoptic weather systems
Nachgewiesen in Dimensions
Web of Science
OpenAlex
Globale Ziele für nachhaltige Entwicklung Ziel 14 – Leben unter Wasser

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Originalveröffentlichung
DOI: 10.1002/qj.3808
Web of Science
Zitationen: 24
Dimensions
Zitationen: 26
Seitenaufrufe: 204
seit 09.05.2020
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