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ENSO diversity shows robust decadal variations that must be captured for accurate future projections

Authors :
Bastien Dieppois
Antonietta Capotondi
Benjamin Pohl
Kwok Pan Chun
Jonathan Eden
Paul-Arthur MOnerie
Centre for Agroecology, Water and Resilience
Coventry University
Department of Oceanography [Cape Town]
University of Cape Town
Cooperative Institute for Research in Environmental Sciences (CIRES)
University of Colorado [Boulder]-National Oceanic and Atmospheric Administration (NOAA)
NOAA Physical Sciences Laboratory (PSL)
National Oceanic and Atmospheric Administration (NOAA)
Biogéosciences [UMR 6282] [Dijon] (BGS)
Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS)
Department of Geography
Hong Kong Baptist University (HKBU)
Department of Meteorology [Reading]
University of Reading (UOR)
This work is part of the I-SITE Bourgogne Franche-Comté Junior Fellowship IMVULA (Grant N°: AAP2-JF-06), and the Alliance Programme 2020 (Grant N°: 608081922), cofunded by the British Council and Campus-France. AC was supported by the NOAA Climate Program Office’s Climate Variability and Predictability (CVP) and Modelling, Analysis, Predictions and Projections (MAPP) programs.
ANR-15-IDEX-0003,BFC,ISITE ' BFC(2015)
Source :
Communications Earth & Environment, Vol 2, Iss 1, Pp 1-13 (2021), Communications Earth & Environment, Communications Earth & Environment, Springer Nature, 2021, 2 (1), pp.212. ⟨10.1038/s43247-021-00285-6⟩
Publication Year :
2021
Publisher :
Nature Portfolio, 2021.

Abstract

13 pages; International audience; El Niño-Southern Oscillation (ENSO) shows a large diversity of events that is modulated by climate variability and change. The representation of this diversity in climate models limits our ability to predict their impact on ecosystems and human livelihood. Here, we use multiple observational datasets to provide a probabilistic description of historical variations in event location and intensity, and to benchmark models, before examining future system trajectories. We find robust decadal variations in event intensities and locations in century-long observational datasets, which are associated with perturbations in equatorial wind-stress and thermocline depth, as well as extra-tropical anomalies in the North and South Pacific. Some climate models are capable of simulating such decadal variability in ENSO diversity, and the associated large-scale patterns. Projections of ENSO diversity in future climate change scenarios strongly depend on the magnitude of decadal variations, and the ability of climate models to reproduce them realistically over the 21 st century.

Details

Language :
English
ISSN :
26624435
Volume :
2
Issue :
1
Database :
OpenAIRE
Journal :
Communications Earth & Environment
Accession number :
edsair.doi.dedup.....de051c2d02651f95435bc950074dd251
Full Text :
https://doi.org/10.1038/s43247-021-00285-6⟩