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On the observed connection between Arctic sea ice and Eurasian snow in relation to the winter North Atlantic Oscillation

Bibliographic Data

ID15549671
AuthorsMaría Santolaria-Otín (0000-0002-9232-5245, Institut des Géosciences de l'Environnement, corresponding author), Javier García‐Serrano (0000-0003-3913-0876, Barcelona Supercomputing Center), Javier García-Serrano, Martin Ménégoz (0000-0001-7098-9270, Barcelona Supercomputing Center), Joan Bech (0000-0003-3597-7439, Universitat de Barcelona)
Year2020
Volume15
Issue12
Pages124010-124010
Publication date2020-08-07
Open AccessYes
TypeARTICLE
VenueEnvironmental Research Letters (JOURNAL)
Journal identifiersISSN: 1748-9326 • E-ISSN: 1748-9326
PublisherIOP Publishing (PUBLISHER • GB)
DOI10.1088/1748-9326/abad57
OpenAlexW3047992645
LanguageEN
Citations received1
References cited76

Sea ice concentration (SIC) in the eastern Arctic and snow cover extent (SCE) over central Eurasia in late autumn have been proposed as potential predictors of the winter North Atlantic Oscillation (NAO). Here, maximum covariance analysis is used to further investigate the links between autumn SIC in the Barents-Kara Seas (BK) and SCE over Eurasia (EUR) with winter sea level pressure (SLP) in the North Atlantic-European region over 1979-2019. As shown by previous studies, the most significant covariability mode of SIC/BK is found for November. Similarly, the covariability with SCE/EUR is only statistically significant for November, not for October. Changes in temperature, specific humidity, SIC/BK and SCE/EUR in November are associated with a circulation anomaly over the Ural-Siberian region that appears as a precursor of the winter NAO; where the advection of climatological temperature/humidity by the anomalous flow is related to SCE/EUR and SIC/BK anomalies

Advection · Anomaly (physics · Arctic · Arctic oscillation · Atmospheric sciences · Climatology · Geography · Humidity · Meteorology · North Atlantic oscillation · Northern Hemisphere · Snow · Arctic and Antarctic ice dynamics · Climate variability and models · Environmental Science · Oceanographic and Atmospheric Processes · Geology · Oceanography

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Citations per year1
Citation span2025 - 2025 (1)
Highly citedNo

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