Large-scale forcing of principal near-surface wind speed variability patterns in the Arctic since 1979

Abstract The ERA5 reanalysis dataset is used to characterize the principal patterns of annual and seasonal near-surface wind speeds in the Arctic from 1979 to 2023 by the empirical orthogonal function (EOF) method, together with their relationship with large-scale atmospheric circulation. The leading EOF (EOF1) accounts for about 14%–22% of annual and seasonal wind speed variability, and is composed of widely positive anomalies across most of the Arctic Ocean largely influenced by the positive Arctic Oscillation. Seasonally, the positive anomalies shift from the central Arctic Ocean in summer toward the Greenland and Norwegian Seas in winter, driven by the North Atlantic Oscillation (NAO). The second EOF (EOF2) explains 9.5% of annual wind speed changes and consists of a meridional dipole structure, i.e. positive anomalies over the Russian Arctic seas and negative anomalies over the Greenland and Norway Seas, mainly driven by the Arctic dipole and NAO. The time series of EOF2 shows a decadal switch from negative to positive anomalies at the beginning of the 21st century, related to the phase transition of the Pacific Decadal Oscillation and the Atlantic Multidecadal Oscillation.

Authors

Institutions

Publication Details

Journal
Environmental Research Letters
Published
2025-05-30
DOI
https://doi.org/10.1088/1748-9326/adda60
Citations
1
Primary Topic
Arctic and Antarctic ice dynamics
Type
article
Field-Weighted Citation Impact
1.30

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Large-scale forcing of principal near-surface wind speed variability patterns in the Arctic since 1979

Shuang Song, Qingli Wu, Min Zhou, Yetang Wang et al.
1 citations
Environmental Research Letters
Arctic and Antarctic ice dynamics
1.30
article

Large-scale forcing of principal near-surface wind speed variability patterns in the Arctic since 1979

Shuang Song, Qingli Wu, Min Zhou, Yetang Wang, Zhaosheng Zhai, Shugui Hou, Yulun Zhang
article en
1 citations

Abstract

Abstract The ERA5 reanalysis dataset is used to characterize the principal patterns of annual and seasonal near-surface wind speeds in the Arctic from 1979 to 2023 by the empirical orthogonal function (EOF) method, together with their relationship with large-scale atmospheric circulation. The leading EOF (EOF1) accounts for about 14%–22% of annual and seasonal wind speed variability, and is composed of widely positive anomalies across most of the Arctic Ocean largely influenced by the positive Arctic Oscillation. Seasonally, the positive anomalies shift from the central Arctic Ocean in summer toward the Greenland and Norwegian Seas in winter, driven by the North Atlantic Oscillation (NAO). The second EOF (EOF2) explains 9.5% of annual wind speed changes and consists of a meridional dipole structure, i.e. positive anomalies over the Russian Arctic seas and negative anomalies over the Greenland and Norway Seas, mainly driven by the Arctic dipole and NAO. The time series of EOF2 shows a decadal switch from negative to positive anomalies at the beginning of the 21st century, related to the phase transition of the Pacific Decadal Oscillation and the Atlantic Multidecadal Oscillation.

Environmental Research LettersVol. 20(6)
Shanghai Jiao Tong University (CN), Shandong Normal University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 22%
Arctic and Antarctic ice dynamics
1.30
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.