Abstract

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 21st century.

El Niño-Southern Oscillation event intensities and locations show pronounced decadal variations, which need to be represented in models for better projections of future ENSO diversity, suggest analyses of observations and climate model simulations.

Details

Title
ENSO diversity shows robust decadal variations that must be captured for accurate future projections
Author
Dieppois Bastien 1   VIAFID ORCID Logo  ; Capotondi Antonietta 2   VIAFID ORCID Logo  ; Pohl, Benjamin 3   VIAFID ORCID Logo  ; Chun Kwok Pan 4   VIAFID ORCID Logo  ; Paul-Arthur, Monerie 5   VIAFID ORCID Logo  ; Eden, Jonathan 6 

 Coventry University, Centre for Agroecology, Water and Resilience, Coventry, UK (GRID:grid.8096.7) (ISNI:0000000106754565); University of Cape Town, Department of Oceanography, MARE Institute, Cape Town, RSA (GRID:grid.7836.a) (ISNI:0000 0004 1937 1151) 
 University of Colorado, Cooperative Institute for Research in Environmental Sciences, Boulder, USA (GRID:grid.266190.a) (ISNI:0000000096214564); Physical Sciences Laboratory, NOAA, Boulder, USA (GRID:grid.511342.0) 
 Centre de Recherches de Climatologie, UMR 6282 Biogéosciences, CNRS/Université de Bourgogne Franche Comté, Dijon, France (GRID:grid.5613.1) (ISNI:0000 0001 2298 9313) 
 Hong Kong Baptist University, Department of Geography, Hong Kong, China (GRID:grid.221309.b) (ISNI:0000 0004 1764 5980) 
 University of Reading, Department of Meteorology, National Centre for Atmospheric Science (NCAS), Reading, UK (GRID:grid.9435.b) (ISNI:0000 0004 0457 9566) 
 Coventry University, Centre for Agroecology, Water and Resilience, Coventry, UK (GRID:grid.8096.7) (ISNI:0000000106754565) 
Publication year
2021
Publication date
Dec 2021
Publisher
Nature Publishing Group
e-ISSN
26624435
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2579866181
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.