Bastien Dieppois

Centre for Agroecology, Water and Resilience, Coventry University, Coventry, UK, Centre for Agroecology, Water and Resilience, Coventry University, Coventry, UK
Corresponding Author:bastien.dieppois@gmail.com
Author ProfileBenjamin Pohl

Centre de Recherches de Climatologie, UMR 6282 Biogéosciences, CNRS/Université de Bourgogne Franche Comté, Dijon, France, Centre de Recherches de Climatologie, UMR 6282 Biogéosciences, CNRS/Université de Bourgogne Franche Comté, Dijon, France
Author ProfileJonathan Eden
Centre for Agroecology, Water and Resilience, Coventry University, Coventry, UK, Centre for Agroecology, Water and Resilience, Coventry University, Coventry, UK
Author ProfilePaul-Arthur MOnerie
Department of Meteorology, National Centre for Atmospheric Science (NCAS), University of Reading, Reading, UK, Department of Meteorology, National Centre for Atmospheric Science (NCAS), University of Reading, Reading, UK
Author ProfileAbstract
El Niño-Southern Oscillation (ENSO) shows a large diversity of events,
whose modulation by climate variability and change, and their
representation in climate models, limit our ability to predict their
impact on ecosystems and human livelihood. Here, we introduce a new
framework to analyze probabilistic changes in event-location and
-intensity, which overcomes existing limitations in studying ENSO
diversity. 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. A large
fraction of CMIP5 and CMIP6 models appear 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.