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Multi-model ensemble mean of global climate models fails to reproduce early twentieth century Arctic warming. / Latonin, Mikhail M.; Bashmachnikov, Igor L.; Bobylev, Leonid P.; Davy, Richard.

в: Polar Science, Том 30, 100677, 12.2021.

Результаты исследований: Научные публикации в периодических изданияхстатьяРецензирование

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Latonin, Mikhail M. ; Bashmachnikov, Igor L. ; Bobylev, Leonid P. ; Davy, Richard. / Multi-model ensemble mean of global climate models fails to reproduce early twentieth century Arctic warming. в: Polar Science. 2021 ; Том 30.

BibTeX

@article{8d33b857f2064ae6b1ea19a51e6f7b96,
title = "Multi-model ensemble mean of global climate models fails to reproduce early twentieth century Arctic warming",
abstract = "The Arctic climate system is very sensitive to external perturbations, which results in more rapid surface air temperature (SAT) changes in the Arctic compared to lower latitudes. This study aims at assessing the performance of global climate models from the phases 5 and 6 of the Coupled Model Intercomparison Project (CMIP5 and CMIP6) in reproducing the periods of Arctic warming and cooling known from the observations. Two experiments are considered for 9 CMIP5 models, and one experiment is used for the 108 ensemble members from 32 CMIP6 models. The ensemble mean of unforced Arctic amplification variability in the CMIP5 pre-industrial control experiment suggests a crucial role of external forcings in the present Arctic amplification. The ensemble mean of the same models in the historical experiment shows a century-long upward trend and clearly reproduces the present-day Arctic amplification. However, there is no consistent response of increasing Arctic amplification in the early twentieth century warming period during the 1920s–1940s in the CMIP5 models. This indicates the 1920s–1940s Arctic warming was unlikely to happen due to external forcings. Using the large CMIP6 ensemble in the historical experiment we show that the multi-model ensemble mean in the new generation of high-resolution CMIP6 models does not reproduce that warming either, thus posing questions how well the models capture internal climate variability and distinguish it from natural and anthropogenic forcings. This issue ultimately affects the reliability of future Arctic climate projections.",
keywords = "Arctic amplification, Early twentieth century warming, Global climate models, Internal variability, The Arctic, SEA-ICE, PACIFIC, SURFACE AIR-TEMPERATURE, SIMULATION, BASIC EVALUATION, VARIABILITY, IMPACT, POLAR AMPLIFICATION, EARTH SYSTEM MODEL, VERSION",
author = "Latonin, {Mikhail M.} and Bashmachnikov, {Igor L.} and Bobylev, {Leonid P.} and Richard Davy",
note = "Publisher Copyright: {\textcopyright} 2021 Elsevier B.V. and NIPR Copyright: Copyright 2021 Elsevier B.V., All rights reserved.",
year = "2021",
month = dec,
doi = "10.1016/j.polar.2021.100677",
language = "English",
volume = "30",
journal = "Polar Science",
issn = "1873-9652",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Multi-model ensemble mean of global climate models fails to reproduce early twentieth century Arctic warming

AU - Latonin, Mikhail M.

AU - Bashmachnikov, Igor L.

AU - Bobylev, Leonid P.

AU - Davy, Richard

N1 - Publisher Copyright: © 2021 Elsevier B.V. and NIPR Copyright: Copyright 2021 Elsevier B.V., All rights reserved.

PY - 2021/12

Y1 - 2021/12

N2 - The Arctic climate system is very sensitive to external perturbations, which results in more rapid surface air temperature (SAT) changes in the Arctic compared to lower latitudes. This study aims at assessing the performance of global climate models from the phases 5 and 6 of the Coupled Model Intercomparison Project (CMIP5 and CMIP6) in reproducing the periods of Arctic warming and cooling known from the observations. Two experiments are considered for 9 CMIP5 models, and one experiment is used for the 108 ensemble members from 32 CMIP6 models. The ensemble mean of unforced Arctic amplification variability in the CMIP5 pre-industrial control experiment suggests a crucial role of external forcings in the present Arctic amplification. The ensemble mean of the same models in the historical experiment shows a century-long upward trend and clearly reproduces the present-day Arctic amplification. However, there is no consistent response of increasing Arctic amplification in the early twentieth century warming period during the 1920s–1940s in the CMIP5 models. This indicates the 1920s–1940s Arctic warming was unlikely to happen due to external forcings. Using the large CMIP6 ensemble in the historical experiment we show that the multi-model ensemble mean in the new generation of high-resolution CMIP6 models does not reproduce that warming either, thus posing questions how well the models capture internal climate variability and distinguish it from natural and anthropogenic forcings. This issue ultimately affects the reliability of future Arctic climate projections.

AB - The Arctic climate system is very sensitive to external perturbations, which results in more rapid surface air temperature (SAT) changes in the Arctic compared to lower latitudes. This study aims at assessing the performance of global climate models from the phases 5 and 6 of the Coupled Model Intercomparison Project (CMIP5 and CMIP6) in reproducing the periods of Arctic warming and cooling known from the observations. Two experiments are considered for 9 CMIP5 models, and one experiment is used for the 108 ensemble members from 32 CMIP6 models. The ensemble mean of unforced Arctic amplification variability in the CMIP5 pre-industrial control experiment suggests a crucial role of external forcings in the present Arctic amplification. The ensemble mean of the same models in the historical experiment shows a century-long upward trend and clearly reproduces the present-day Arctic amplification. However, there is no consistent response of increasing Arctic amplification in the early twentieth century warming period during the 1920s–1940s in the CMIP5 models. This indicates the 1920s–1940s Arctic warming was unlikely to happen due to external forcings. Using the large CMIP6 ensemble in the historical experiment we show that the multi-model ensemble mean in the new generation of high-resolution CMIP6 models does not reproduce that warming either, thus posing questions how well the models capture internal climate variability and distinguish it from natural and anthropogenic forcings. This issue ultimately affects the reliability of future Arctic climate projections.

KW - Arctic amplification

KW - Early twentieth century warming

KW - Global climate models

KW - Internal variability

KW - The Arctic

KW - SEA-ICE

KW - PACIFIC

KW - SURFACE AIR-TEMPERATURE

KW - SIMULATION

KW - BASIC EVALUATION

KW - VARIABILITY

KW - IMPACT

KW - POLAR AMPLIFICATION

KW - EARTH SYSTEM MODEL

KW - VERSION

UR - http://www.scopus.com/inward/record.url?scp=85103979998&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/5b332f03-7ba2-3b7d-983e-7ea8a26b985e/

U2 - 10.1016/j.polar.2021.100677

DO - 10.1016/j.polar.2021.100677

M3 - Article

AN - SCOPUS:85103979998

VL - 30

JO - Polar Science

JF - Polar Science

SN - 1873-9652

M1 - 100677

ER -

ID: 76642576