Multi-decadal variation of ENSO forecast skill since the late 1800s

Abstract Diagnosing El Niño-Southern Oscillation (ENSO) predictability within operational forecast models is hindered by computational expense and the need for initialization with three-dimensional fields generated by global data assimilation. We instead examine multi-year ENSO predictability since...

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Main Authors: Jiale Lou, Matthew Newman, Andrew Hoell
Format: Article
Language:English
Published: Nature Portfolio 2023-07-01
Series:npj Climate and Atmospheric Science
Online Access:https://doi.org/10.1038/s41612-023-00417-z
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author Jiale Lou
Matthew Newman
Andrew Hoell
author_facet Jiale Lou
Matthew Newman
Andrew Hoell
author_sort Jiale Lou
collection DOAJ
description Abstract Diagnosing El Niño-Southern Oscillation (ENSO) predictability within operational forecast models is hindered by computational expense and the need for initialization with three-dimensional fields generated by global data assimilation. We instead examine multi-year ENSO predictability since the late 1800s using the model-analog technique, which has neither limitation. We first draw global coupled model states from pre-industrial control simulations, from the Coupled Model Intercomparison Project Phase 6, that are chosen to initially match observed monthly sea surface temperature and height anomalies in the Tropics. Their subsequent 36-month model evolution are the hindcasts, whose 20th century ENSO skill is comparable to twice-yearly hindcasts generated by a state-of-the-art European operational forecasting system. Despite the so-called spring predictability barrier, present throughout the record, there is substantial second-year ENSO skill, especially after 1960. Overall, ENSO exhibited notably high values of both amplitude and skill towards the end of the 19th century, and again in recent decades.
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spelling doaj.art-ae8b93f5e7ed4f8ea222a805f0d33b052023-07-16T11:13:24ZengNature Portfolionpj Climate and Atmospheric Science2397-37222023-07-016111410.1038/s41612-023-00417-zMulti-decadal variation of ENSO forecast skill since the late 1800sJiale Lou0Matthew Newman1Andrew Hoell2Cooperative Institute for Research in the Environmental Sciences, University of Colorado BoulderNOAA Physical Sciences LaboratoryNOAA Physical Sciences LaboratoryAbstract Diagnosing El Niño-Southern Oscillation (ENSO) predictability within operational forecast models is hindered by computational expense and the need for initialization with three-dimensional fields generated by global data assimilation. We instead examine multi-year ENSO predictability since the late 1800s using the model-analog technique, which has neither limitation. We first draw global coupled model states from pre-industrial control simulations, from the Coupled Model Intercomparison Project Phase 6, that are chosen to initially match observed monthly sea surface temperature and height anomalies in the Tropics. Their subsequent 36-month model evolution are the hindcasts, whose 20th century ENSO skill is comparable to twice-yearly hindcasts generated by a state-of-the-art European operational forecasting system. Despite the so-called spring predictability barrier, present throughout the record, there is substantial second-year ENSO skill, especially after 1960. Overall, ENSO exhibited notably high values of both amplitude and skill towards the end of the 19th century, and again in recent decades.https://doi.org/10.1038/s41612-023-00417-z
spellingShingle Jiale Lou
Matthew Newman
Andrew Hoell
Multi-decadal variation of ENSO forecast skill since the late 1800s
npj Climate and Atmospheric Science
title Multi-decadal variation of ENSO forecast skill since the late 1800s
title_full Multi-decadal variation of ENSO forecast skill since the late 1800s
title_fullStr Multi-decadal variation of ENSO forecast skill since the late 1800s
title_full_unstemmed Multi-decadal variation of ENSO forecast skill since the late 1800s
title_short Multi-decadal variation of ENSO forecast skill since the late 1800s
title_sort multi decadal variation of enso forecast skill since the late 1800s
url https://doi.org/10.1038/s41612-023-00417-z
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