A Regime View of ENSO Flavors Through Clustering in CMIP6 Models

Abstract El Niño‐Southern Oscillation (ENSO) flavors in the tropical Pacific are studied from a regime perspective. Five recurring spatial patterns or regimes characterizing the diversity of ENSO are established using a clustering approach applied to the HadISST sea surface temperature (SST) anomali...

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Main Authors: Pradeebane Vaittinada Ayar, David S. Battisti, Camille Li, Martin King, Mathieu Vrac, Jerry Tjiputra
Format: Article
Language:English
Published: Wiley 2023-11-01
Series:Earth's Future
Subjects:
Online Access:https://doi.org/10.1029/2022EF003460
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author Pradeebane Vaittinada Ayar
David S. Battisti
Camille Li
Martin King
Mathieu Vrac
Jerry Tjiputra
author_facet Pradeebane Vaittinada Ayar
David S. Battisti
Camille Li
Martin King
Mathieu Vrac
Jerry Tjiputra
author_sort Pradeebane Vaittinada Ayar
collection DOAJ
description Abstract El Niño‐Southern Oscillation (ENSO) flavors in the tropical Pacific are studied from a regime perspective. Five recurring spatial patterns or regimes characterizing the diversity of ENSO are established using a clustering approach applied to the HadISST sea surface temperature (SST) anomalies. Compared to previous studies, our approach gives a monthly characterization of the diversity of the warm and cold phases of ENSO established from observations but commonly applied to models and observations. Two warm (eastern and central El Niño), two cold (basin wide and central La Niña) and a neutral reference regimes are found. Simulated SST anomalies by the models from the latest Coupled Model Intercomparison Project Phase 6 are then matched to these reference regimes. This allows for a consistent assessment of the skill of the models in reproducing the reference regimes over the historical period and the change in these regimes under the high‐warming Shared Socio‐economic Pathway (SSP5.8.5) scenario. Results over the historical period show that models simulate well the reference regimes with some discrepancies. Models simulate more intense and spatially extended ENSO patterns and have issues in capturing the correct regime seasonality, persistence, and transition between regimes. Some models also have difficulty simulating the frequency of regimes, the eastern El Niño regime in particular. In the future, both El Niño and central La Niña regimes are expected to be more frequent accompanied with a less frequent neutral regime. The central Pacific El Niño and La Niña regimes are projected to increase in amplitude and variability.
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spelling doaj.art-d9af94a7f3164a6b9e1dc1e000eef2dd2024-01-18T22:26:39ZengWileyEarth's Future2328-42772023-11-011111n/an/a10.1029/2022EF003460A Regime View of ENSO Flavors Through Clustering in CMIP6 ModelsPradeebane Vaittinada Ayar0David S. Battisti1Camille Li2Martin King3Mathieu Vrac4Jerry Tjiputra5NORCE Norwegian Research Centre AS Bjerknes Centre for Climate Research Bergen NorwayDepartment of Atmospheric Sciences University of Washington Seattle WA USAGeophysical Institute University of Bergen Bjerknes Centre for Climate Research Bergen NorwayGeophysical Institute University of Bergen Bjerknes Centre for Climate Research Bergen NorwayLaboratoire des Sciences du Climat et de l’Environnement (LSCE‐IPSL) CEA/CNRS/UVSQ Université Paris‐Saclay Centre d’Etudes de Saclay Gif‐sur‐Yvette FranceNORCE Norwegian Research Centre AS Bjerknes Centre for Climate Research Bergen NorwayAbstract El Niño‐Southern Oscillation (ENSO) flavors in the tropical Pacific are studied from a regime perspective. Five recurring spatial patterns or regimes characterizing the diversity of ENSO are established using a clustering approach applied to the HadISST sea surface temperature (SST) anomalies. Compared to previous studies, our approach gives a monthly characterization of the diversity of the warm and cold phases of ENSO established from observations but commonly applied to models and observations. Two warm (eastern and central El Niño), two cold (basin wide and central La Niña) and a neutral reference regimes are found. Simulated SST anomalies by the models from the latest Coupled Model Intercomparison Project Phase 6 are then matched to these reference regimes. This allows for a consistent assessment of the skill of the models in reproducing the reference regimes over the historical period and the change in these regimes under the high‐warming Shared Socio‐economic Pathway (SSP5.8.5) scenario. Results over the historical period show that models simulate well the reference regimes with some discrepancies. Models simulate more intense and spatially extended ENSO patterns and have issues in capturing the correct regime seasonality, persistence, and transition between regimes. Some models also have difficulty simulating the frequency of regimes, the eastern El Niño regime in particular. In the future, both El Niño and central La Niña regimes are expected to be more frequent accompanied with a less frequent neutral regime. The central Pacific El Niño and La Niña regimes are projected to increase in amplitude and variability.https://doi.org/10.1029/2022EF003460ENSOclusteringregimesCMIP6
spellingShingle Pradeebane Vaittinada Ayar
David S. Battisti
Camille Li
Martin King
Mathieu Vrac
Jerry Tjiputra
A Regime View of ENSO Flavors Through Clustering in CMIP6 Models
Earth's Future
ENSO
clustering
regimes
CMIP6
title A Regime View of ENSO Flavors Through Clustering in CMIP6 Models
title_full A Regime View of ENSO Flavors Through Clustering in CMIP6 Models
title_fullStr A Regime View of ENSO Flavors Through Clustering in CMIP6 Models
title_full_unstemmed A Regime View of ENSO Flavors Through Clustering in CMIP6 Models
title_short A Regime View of ENSO Flavors Through Clustering in CMIP6 Models
title_sort regime view of enso flavors through clustering in cmip6 models
topic ENSO
clustering
regimes
CMIP6
url https://doi.org/10.1029/2022EF003460
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