Assessment of Arctic sea ice and surface climate conditions in nine CMIP6 climate models

ABSTRACTThe observed retreat and anticipated further decline in Arctic sea ice holds strong climate, environmental, and societal implications. In predicting climate evolution, ensembles of coupled climate models have demonstrated appreciable accuracy in simulating sea-ice area trends throughout the...

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Main Authors: Martin Henke, Felício Cassalho, Tyler Miesse, Celso M. Ferreira, Jinlun Zhang, Thomas M. Ravens
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:Arctic, Antarctic, and Alpine Research
Subjects:
Online Access:https://www.tandfonline.com/doi/10.1080/15230430.2023.2271592
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author Martin Henke
Felício Cassalho
Tyler Miesse
Celso M. Ferreira
Jinlun Zhang
Thomas M. Ravens
author_facet Martin Henke
Felício Cassalho
Tyler Miesse
Celso M. Ferreira
Jinlun Zhang
Thomas M. Ravens
author_sort Martin Henke
collection DOAJ
description ABSTRACTThe observed retreat and anticipated further decline in Arctic sea ice holds strong climate, environmental, and societal implications. In predicting climate evolution, ensembles of coupled climate models have demonstrated appreciable accuracy in simulating sea-ice area trends throughout the historical period, yet individual climate models still show significant differences in accurately representing the sea-ice thickness distribution. To better understand individual model performance in sea-ice simulation, nine climate models were evaluated in comparison with Arctic satellite and reanalysis-derived sea-ice thickness data, sea-ice area records, and atmospheric reanalysis data of surface wind and air temperature. This assessment found that the simulated spatial distribution of historical sea-ice thickness varies greatly between models and that several key limitations persist among models. Primarily, most models do not capture the thickest regimes of multiyear ice present in the Wandel and Lincoln seas; those that do often possess erroneous positive bias in other regions such as the Laptev Sea or along the Eurasian Arctic Shelf. This analysis provides enhanced understanding of individual model historical simulation performance, which is critical in informing the selection of coupled climate model projections for dependent future modeling efforts.
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spelling doaj.art-20823ce620ef4cbfae285f9717f17f252024-04-03T14:36:12ZengTaylor & Francis GroupArctic, Antarctic, and Alpine Research1523-04301938-42462023-12-0155110.1080/15230430.2023.2271592Assessment of Arctic sea ice and surface climate conditions in nine CMIP6 climate modelsMartin Henke0Felício Cassalho1Tyler Miesse2Celso M. Ferreira3Jinlun Zhang4Thomas M. Ravens5Department of Civil, Environmental, and Infrastructure Engineering, George Mason University, Fairfax, Virginia, USADepartment of Civil, Environmental, and Infrastructure Engineering, George Mason University, Fairfax, Virginia, USADepartment of Civil, Environmental, and Infrastructure Engineering, George Mason University, Fairfax, Virginia, USADepartment of Civil, Environmental, and Infrastructure Engineering, George Mason University, Fairfax, Virginia, USAPolar Science Center, Applied Physics Laboratory, University of Washington, Seattle, Washington, USACollege of Engineering, University of Alaska Anchorage, Anchorage, Alaska, USAABSTRACTThe observed retreat and anticipated further decline in Arctic sea ice holds strong climate, environmental, and societal implications. In predicting climate evolution, ensembles of coupled climate models have demonstrated appreciable accuracy in simulating sea-ice area trends throughout the historical period, yet individual climate models still show significant differences in accurately representing the sea-ice thickness distribution. To better understand individual model performance in sea-ice simulation, nine climate models were evaluated in comparison with Arctic satellite and reanalysis-derived sea-ice thickness data, sea-ice area records, and atmospheric reanalysis data of surface wind and air temperature. This assessment found that the simulated spatial distribution of historical sea-ice thickness varies greatly between models and that several key limitations persist among models. Primarily, most models do not capture the thickest regimes of multiyear ice present in the Wandel and Lincoln seas; those that do often possess erroneous positive bias in other regions such as the Laptev Sea or along the Eurasian Arctic Shelf. This analysis provides enhanced understanding of individual model historical simulation performance, which is critical in informing the selection of coupled climate model projections for dependent future modeling efforts.https://www.tandfonline.com/doi/10.1080/15230430.2023.2271592Climate model assessmentsea iceArctic
spellingShingle Martin Henke
Felício Cassalho
Tyler Miesse
Celso M. Ferreira
Jinlun Zhang
Thomas M. Ravens
Assessment of Arctic sea ice and surface climate conditions in nine CMIP6 climate models
Arctic, Antarctic, and Alpine Research
Climate model assessment
sea ice
Arctic
title Assessment of Arctic sea ice and surface climate conditions in nine CMIP6 climate models
title_full Assessment of Arctic sea ice and surface climate conditions in nine CMIP6 climate models
title_fullStr Assessment of Arctic sea ice and surface climate conditions in nine CMIP6 climate models
title_full_unstemmed Assessment of Arctic sea ice and surface climate conditions in nine CMIP6 climate models
title_short Assessment of Arctic sea ice and surface climate conditions in nine CMIP6 climate models
title_sort assessment of arctic sea ice and surface climate conditions in nine cmip6 climate models
topic Climate model assessment
sea ice
Arctic
url https://www.tandfonline.com/doi/10.1080/15230430.2023.2271592
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