KIT | KIT-Bibliothek | Impressum | Datenschutz

Frequent but Predictable Droughts in East Africa Driven by a Walker Circulation Intensification

Funk, Chris ; Fink, Andreas H. 1; Harrison, Laura; Segele, Zewdu; Endris, Hussen S.; Galu, Gideon; Korecha, Diriba; Nicholson, Sharon
1 Institut für Meteorologie und Klimaforschung (IMK), Karlsruher Institut für Technologie (KIT)

Abstract:

During and after recent La Niña events, the decline of the eastern East African (EA) March-April-May (MAM) rains has set the stage for life-threatening sequential October-November-December (OND) and MAM droughts. The MAM 2022 drought was the driest on record, preceded by three poor rainy seasons, and followed by widespread starvation. Connecting these dry seasons is an interaction between La Niña and climate change. This interaction provides important opportunities for long-lead prediction and proactive disaster risk management, but needs exploration. Here, for the first time, we use observations, reanalyses, and climate change simulations to show that post-1997 OND La Niña events are robust precursors of: (a) strong MAM “Western V sea surface temperature Gradients” in the Pacific, which (b) help produce large increases in moisture convergence and atmospheric heating near Indonesia, which in turn produce (c) regional shifts in moisture transports and vertical velocities, which (d) help explain the increased frequency of dry EA MAM rainy seasons. We also show that, at 20-year time scales, increases in atmospheric heating in the Indo-Pacific Warm Pool region are attributable to warming Western V SST, which is in turn largely attributable to climate change. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000164751
Veröffentlicht am 22.11.2023
Originalveröffentlichung
DOI: 10.1029/2022EF003454
Scopus
Zitationen: 9
Web of Science
Zitationen: 7
Dimensions
Zitationen: 13
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung Troposphärenforschung (IMKTRO)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2023
Sprache Englisch
Identifikator ISSN: 2328-4277
KITopen-ID: 1000164751
HGF-Programm 12.11.34 (POF IV, LK 01) Improved predictions from weather to climate scales
Erschienen in Earth's Future
Verlag Wiley Open Access
Band 11
Heft 11
Seiten e2022EF003454
Vorab online veröffentlicht am 20.11.2023
Nachgewiesen in Scopus
Web of Science
Dimensions
Globale Ziele für nachhaltige Entwicklung Ziel 11 – Nachhaltige Städte und GemeindenZiel 13 – Maßnahmen zum Klimaschutz
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
KITopen Landing Page