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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. 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


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Originalveröffentlichung
DOI: 10.1002/qj.3808
Web of Science
Zitationen: 19
Dimensions
Zitationen: 22
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 Web of Science
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