Global-scale multidecadal variability missing in state-of-the-art climate models

Reliability of future global warming projections depends on how well climate models reproduce the observed climate change over the twentieth century. In this regard, deviations of the model-simulated climate change from observations, such as a recent “pause” in global warming, have received consider...

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Published in:npj Climate and Atmospheric Science
Main Authors: Kravtsov, S., Grimm, C., Gu, S.
Language:unknown
Published: 2022
Subjects:
Online Access:http://www.osti.gov/servlets/purl/1567550
https://www.osti.gov/biblio/1567550
https://doi.org/10.1038/s41612-018-0044-6
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spelling ftosti:oai:osti.gov:1567550 2023-07-30T03:56:44+02:00 Global-scale multidecadal variability missing in state-of-the-art climate models Kravtsov, S. Grimm, C. Gu, S. 2022-03-31 application/pdf http://www.osti.gov/servlets/purl/1567550 https://www.osti.gov/biblio/1567550 https://doi.org/10.1038/s41612-018-0044-6 unknown http://www.osti.gov/servlets/purl/1567550 https://www.osti.gov/biblio/1567550 https://doi.org/10.1038/s41612-018-0044-6 doi:10.1038/s41612-018-0044-6 54 ENVIRONMENTAL SCIENCES 2022 ftosti https://doi.org/10.1038/s41612-018-0044-6 2023-07-11T09:37:15Z Reliability of future global warming projections depends on how well climate models reproduce the observed climate change over the twentieth century. In this regard, deviations of the model-simulated climate change from observations, such as a recent “pause” in global warming, have received considerable attention. Such decadal mismatches between model-simulated and observed climate trends are common throughout the twentieth century, and their causes are still poorly understood. Here we show that the discrepancies between the observed and simulated climate variability on decadal and longer timescale have a coherent structure suggestive of a pronounced Global Multidecadal Oscillation. Surface temperature anomalies associated with this variability originate in the North Atlantic and spread out to the Pacific and Southern oceans and Antarctica, with Arctic following suit in about 25–35 years. While climate models exhibit various levels of decadal climate variability and some regional similarities to observations, none of the model simulations considered match the observed signal in terms of its magnitude, spatial patterns and their sequential time development. These results highlight a substantial degree of uncertainty in our interpretation of the observed climate change using current generation of climate models. Other/Unknown Material Antarc* Antarctica Arctic Climate change Global warming North Atlantic SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) Arctic Pacific npj Climate and Atmospheric Science 1 1
institution Open Polar
collection SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy)
op_collection_id ftosti
language unknown
topic 54 ENVIRONMENTAL SCIENCES
spellingShingle 54 ENVIRONMENTAL SCIENCES
Kravtsov, S.
Grimm, C.
Gu, S.
Global-scale multidecadal variability missing in state-of-the-art climate models
topic_facet 54 ENVIRONMENTAL SCIENCES
description Reliability of future global warming projections depends on how well climate models reproduce the observed climate change over the twentieth century. In this regard, deviations of the model-simulated climate change from observations, such as a recent “pause” in global warming, have received considerable attention. Such decadal mismatches between model-simulated and observed climate trends are common throughout the twentieth century, and their causes are still poorly understood. Here we show that the discrepancies between the observed and simulated climate variability on decadal and longer timescale have a coherent structure suggestive of a pronounced Global Multidecadal Oscillation. Surface temperature anomalies associated with this variability originate in the North Atlantic and spread out to the Pacific and Southern oceans and Antarctica, with Arctic following suit in about 25–35 years. While climate models exhibit various levels of decadal climate variability and some regional similarities to observations, none of the model simulations considered match the observed signal in terms of its magnitude, spatial patterns and their sequential time development. These results highlight a substantial degree of uncertainty in our interpretation of the observed climate change using current generation of climate models.
author Kravtsov, S.
Grimm, C.
Gu, S.
author_facet Kravtsov, S.
Grimm, C.
Gu, S.
author_sort Kravtsov, S.
title Global-scale multidecadal variability missing in state-of-the-art climate models
title_short Global-scale multidecadal variability missing in state-of-the-art climate models
title_full Global-scale multidecadal variability missing in state-of-the-art climate models
title_fullStr Global-scale multidecadal variability missing in state-of-the-art climate models
title_full_unstemmed Global-scale multidecadal variability missing in state-of-the-art climate models
title_sort global-scale multidecadal variability missing in state-of-the-art climate models
publishDate 2022
url http://www.osti.gov/servlets/purl/1567550
https://www.osti.gov/biblio/1567550
https://doi.org/10.1038/s41612-018-0044-6
geographic Arctic
Pacific
geographic_facet Arctic
Pacific
genre Antarc*
Antarctica
Arctic
Climate change
Global warming
North Atlantic
genre_facet Antarc*
Antarctica
Arctic
Climate change
Global warming
North Atlantic
op_relation http://www.osti.gov/servlets/purl/1567550
https://www.osti.gov/biblio/1567550
https://doi.org/10.1038/s41612-018-0044-6
doi:10.1038/s41612-018-0044-6
op_doi https://doi.org/10.1038/s41612-018-0044-6
container_title npj Climate and Atmospheric Science
container_volume 1
container_issue 1
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