The Summer North Atlantic Oscillation, Arctic sea ice, and Arctic jet Rossby wave forcing

Article

Folland, Chris K., Ou, Tinghai, Linderholm, Hans W., Scaife, Adam A., Knight, Jeff and Chen, Deliang. 2024. "The Summer North Atlantic Oscillation, Arctic sea ice, and Arctic jet Rossby wave forcing." Science Advances. 10 (46). https://doi.org/10.1126/sciadv.adk6693
Article Title

The Summer North Atlantic Oscillation, Arctic sea ice, and Arctic jet Rossby wave forcing

ERA Journal ID211335
Article CategoryArticle
AuthorsFolland, Chris K., Ou, Tinghai, Linderholm, Hans W., Scaife, Adam A., Knight, Jeff and Chen, Deliang
Journal TitleScience Advances
Journal Citation10 (46)
Number of Pages20
Year2024
PublisherAmerican Association for the Advancement of Science (AAAS)
Place of PublicationUnited States
ISSN2375-2548
Digital Object Identifier (DOI)https://doi.org/10.1126/sciadv.adk6693
Web Address (URL)https://www.science.org/doi/10.1126/sciadv.adk6693
Abstract

We use Coupled Model Intercomparison Project Phase 6 (CMIP6) coupled and Atmospheric Model Intercomparison Project (AMIP) climate models, dynamical analyses, and observations to investigate interactions between summer Arctic sea ice concentration (SIC) variations and the Summer North Atlantic Oscillation (SNAO). Observations suggest that SIC-SNAO relationships mainly come from the East Siberian to Arctic Canada (ESAC) region where a weak atmospheric jet stream exists in summer. Twelve CMIP6 models with the most realistic atmospheric climatologies over the North Atlantic and Europe agree well with reanalyses on relationships between SIC and Northern Hemisphere atmospheric circulation. CMIP6 model data indicate that ESAC SIC influences the SNAO with a lead time of several weeks. However, AMIP simulations do not reproduce the observed atmospheric circulation when observed sea ice is prescribed. Rossby wave analyses do though support observed ESAC SIC influences on the SNAO. We conclude that ESAC Arctic SIC modestly influences the SNAO, and such investigations require the use of coupled models.

Contains Sensitive ContentDoes not contain sensitive content
ANZSRC Field of Research 20203702. Climate change science
Byline AffiliationsUniversity of East Anglia, United Kingdom
University of Southern Queensland
Met Office, United Kingdom
University of Gothenburg, Sweden
University of Exeter, United Kingdom
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