Teleconnections between large-scale oceanic-atmospheric patterns and interannual surface wind speed variability across China: Regional and seasonal patterns

Feifei Zhou; Zheng Zhao; Cesar Azorin-Molina; Xin Jia; Gangfeng Zhang; Deliang Chen; Jane Liu; Jose A Guijarro; Fen Zhang; Keyan Fang

doi:10.1016/j.scitotenv.2022.156023

Teleconnections between large-scale oceanic-atmospheric patterns and interannual surface wind speed variability across China: Regional and seasonal patterns

Sci Total Environ. 2022 Sep 10;838(Pt 1):156023. doi: 10.1016/j.scitotenv.2022.156023. Epub 2022 May 18.

Authors

Feifei Zhou¹, Zheng Zhao¹, Cesar Azorin-Molina², Xin Jia³, Gangfeng Zhang⁴, Deliang Chen⁵, Jane Liu⁶, Jose A Guijarro⁷, Fen Zhang⁸, Keyan Fang⁹

Affiliations

¹ Key Laboratory of Humid Subtropical Eco-geographical Process (Ministry of Education), College of Geographical Sciences, Fujian Normal University, Fuzhou 350007, China.
² Centro de Investigaciones sobre Desertificación, Consejo Superior de Investigaciones Científicas (CIDE, CSIC-UV-Generalitat Valenciana), Moncada, Valencia, Spain; Regional Climate Group, Department of Earth Sciences, University of Gothenburg, Box 460, S-405 30 Gothenburg, Sweden.
³ School of Geography, Nanjing Normal University, Nanjing 210023, China. Electronic address: jiaxin@njnu.edu.cn.
⁴ Regional Climate Group, Department of Earth Sciences, University of Gothenburg, Box 460, S-405 30 Gothenburg, Sweden; State Key Laboratory of Earth Land Surface Processes and Resources Ecology, Beijing Normal University, 100875 Beijing, China.
⁵ Regional Climate Group, Department of Earth Sciences, University of Gothenburg, Box 460, S-405 30 Gothenburg, Sweden.
⁶ Department of Geography and Planning, University of Toronto, Toronto 3359, Canada.
⁷ State Meteorological Agency, Balearic Islands Office, Palma de Mallorca, Spain.
⁸ Key Laboratory of Western China's Environmental Systems (MOE), Lanzhou University, Lanzhou 730000, China.
⁹ Key Laboratory of Humid Subtropical Eco-geographical Process (Ministry of Education), College of Geographical Sciences, Fujian Normal University, Fuzhou 350007, China; Regional Climate Group, Department of Earth Sciences, University of Gothenburg, Box 460, S-405 30 Gothenburg, Sweden. Electronic address: kfang@fjnu.edu.cn.

PMID: 35595142
DOI: 10.1016/j.scitotenv.2022.156023

Abstract

Great attention has been paid to the long-term decline in terrestrial near-surface wind speed (SWS) in China. However, how the SWS varies with regions and seasons and what modulates these changes remain unclear. Based on quality-controlled and homogenized terrestrial SWS data from 596 stations, the covarying SWS patterns during the Asian Summer Monsoon (ASM) and the Asian Winter Monsoon (AWM) seasons are defined for China using empirical orthogonal function (EOF) analysis for 1961-2016. The dominant SWS features represented by EOF1 patterns in both seasons show a clear decline over most regions of China. The interannual variability of the EOF1 patterns is closely related to the Northeast Asia Low Pressure (NEALP) and the Arctic Oscillation (AO), respectively. The EOF2 and EOF3 patterns during ASM (AWM) season describe a dipole mode of SWS between East Tibetan Plateau and East China Plain (between East Tibetan Plateau and Northeast China), and between Southeast and Northeast China (between Northeast China and the coastal areas of Southeast China), respectively. These dipole structures of SWS changes are closely linked with the oceanic-atmospheric oscillations on interannual scale.

Keywords: Asian summer monsoon; Asian winter monsoon; Interannual change; Oceanic-atmospheric oscillations; Wind speed.

MeSH terms

China
Environmental Monitoring*
Oceans and Seas
Seasons
Wind*