ENSO diversity shows robust decadal variations that must be captured for
accurate future projections
Bastien Dieppois
Centre for Agroecology, Water and Resilience, Coventry University, Coventry, UK, Centre for Agroecology, Water and Resilience, Coventry University, Coventry, UK
Corresponding Author:[email protected]
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
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.