CMIP6 models underestimate Arctic sea ice loss during the Early Twentieth-Century Warming, despite simulating large low-frequency sea ice variability

Elena Bianco aCentro Euro-Mediterraneo Sui Cambiamenti Climatici (CMCC), Bologna, Italy
bDepartment of Environmental Sciences, Informatics and Statistics, Ca’ Foscari University, Venice, Italy
cDepartment of Atmospheric Sciences, University of Washington, Seattle, WA

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Edward Blanchard-Wrigglesworth cDepartment of Atmospheric Sciences, University of Washington, Seattle, WA

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Stefano Materia aCentro Euro-Mediterraneo Sui Cambiamenti Climatici (CMCC), Bologna, Italy
dBarcelona Supercomputing Center, Barcelona, Spain

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Paolo Ruggieri eDepartment of Physics and Astronomy, University of Bologna, Bologna, Italy

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Doroteaciro Iovino aCentro Euro-Mediterraneo Sui Cambiamenti Climatici (CMCC), Bologna, Italy

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Simona Masina aCentro Euro-Mediterraneo Sui Cambiamenti Climatici (CMCC), Bologna, Italy

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Abstract

The variability of Arctic sea ice extent (SIE) on interannual and multi-decadal timescales is examined in 29 models with historical forcing participating in phase 6 of the Coupled Model Intercomparison Project (CMIP6) and in 20th-century sea ice reconstructions. Results show that during the historical period with low external forcing (1850-1919), CMIP6 models display relatively good agreement in their representation of interannual sea ice variability (IVSIE), but exhibit pronounced inter-model spread in multi-decadal sea ice variability (MVSIE), which is overestimated with respect to sea ice reconstructions and is dominated by model uncertainty in sea ice simulation in the sub-polar North Atlantic. We find that this is associated with differences in models’ sensitivity to northern hemispheric sea surface temperatures (SST). Additionally, we show that while CMIP6 models are generally capable of simulating multi-decadal changes in Arctic sea ice from the mid-20th century to present day, they tend to underestimate the observed sea ice decline during the Early Twentieth-Century Warming (ETCW; 1915-1945). These results suggest the need for an improved characterization of the sea ice response to multi-decadal climate variability, in order to address the sources of model bias and reduce the uncertainty in future projections arising from inter-model spread.

© 2024 American Meteorological Society. This is an Author Accepted Manuscript distributed under the terms of the default AMS reuse license. For information regarding reuse and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

Corresponding author: Elena Bianco, elena.bianco@cmcc.it

Abstract

The variability of Arctic sea ice extent (SIE) on interannual and multi-decadal timescales is examined in 29 models with historical forcing participating in phase 6 of the Coupled Model Intercomparison Project (CMIP6) and in 20th-century sea ice reconstructions. Results show that during the historical period with low external forcing (1850-1919), CMIP6 models display relatively good agreement in their representation of interannual sea ice variability (IVSIE), but exhibit pronounced inter-model spread in multi-decadal sea ice variability (MVSIE), which is overestimated with respect to sea ice reconstructions and is dominated by model uncertainty in sea ice simulation in the sub-polar North Atlantic. We find that this is associated with differences in models’ sensitivity to northern hemispheric sea surface temperatures (SST). Additionally, we show that while CMIP6 models are generally capable of simulating multi-decadal changes in Arctic sea ice from the mid-20th century to present day, they tend to underestimate the observed sea ice decline during the Early Twentieth-Century Warming (ETCW; 1915-1945). These results suggest the need for an improved characterization of the sea ice response to multi-decadal climate variability, in order to address the sources of model bias and reduce the uncertainty in future projections arising from inter-model spread.

© 2024 American Meteorological Society. This is an Author Accepted Manuscript distributed under the terms of the default AMS reuse license. For information regarding reuse and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

Corresponding author: Elena Bianco, elena.bianco@cmcc.it
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