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

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...

Full description

Bibliographic Details
Published in:Science of The Total Environment
Main Authors: Zhou, Feifei, Zhao, Zheng, Azorín-Molina, César, Jia, Xin, Zhang, Gangfeng, Chen, Deliang, Liu, Jane, Guijarro, José A., Zhang, F., Fang, Keyan
Other Authors: National Natural Science Foundation of China, Chinese Academy of Sciences, Natural Science Foundation of Fujian Province, Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), Generalitat Valenciana
Format: Article in Journal/Newspaper
Language:unknown
Published: Elsevier 2022
Subjects:
Online Access:http://hdl.handle.net/10261/284588
https://doi.org/10.1016/j.scitotenv.2022.156023
https://doi.org/10.13039/501100011033
https://doi.org/10.13039/501100002367
https://doi.org/10.13039/501100003359
https://doi.org/10.13039/501100001809
id ftcsic:oai:digital.csic.es:10261/284588
record_format openpolar
spelling ftcsic:oai:digital.csic.es:10261/284588 2024-02-11T10:01:40+01:00 Teleconnections between large-scale oceanic-atmospheric patterns and interannual surface wind speed variability across China: Regional and seasonal patterns Zhou, Feifei Zhao, Zheng Azorín-Molina, César Jia, Xin Zhang, Gangfeng Chen, Deliang Liu, Jane Guijarro, José A. Zhang, F. Fang, Keyan National Natural Science Foundation of China Chinese Academy of Sciences Natural Science Foundation of Fujian Province Ministerio de Ciencia, Innovación y Universidades (España) Agencia Estatal de Investigación (España) Generalitat Valenciana 2022-09-10 http://hdl.handle.net/10261/284588 https://doi.org/10.1016/j.scitotenv.2022.156023 https://doi.org/10.13039/501100011033 https://doi.org/10.13039/501100002367 https://doi.org/10.13039/501100003359 https://doi.org/10.13039/501100001809 unknown Elsevier #PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-095749-A-I00/ES/EVALUACION Y ATRIBUCION DE LA VARIABILIDAD DE LA VELOCIDAD MEDIA Y LAS RACHAS MAXIMAS DE VIENTO: CAUSAS DEL FENOMENO STILLING/ http://dx.doi.org/10.1016/j.scitotenv.2022.156023 Sí doi:10.1016/j.scitotenv.2022.156023 issn: 0048-9697 e-issn: 1879-1026 Science of the Total Environment 838(1): 156023 (2022) http://hdl.handle.net/10261/284588 http://dx.doi.org/10.13039/501100011033 http://dx.doi.org/10.13039/501100002367 http://dx.doi.org/10.13039/501100003359 http://dx.doi.org/10.13039/501100001809 none Wind speed Interannual change Oceanic-atmospheric oscillations Asian summer monsoon Asian winter monsoon artículo 2022 ftcsic https://doi.org/10.1016/j.scitotenv.2022.15602310.13039/50110001103310.13039/50110000236710.13039/50110000335910.13039/501100001809 2024-01-16T11:31:55Z 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. We acknowledge supports from the National Science Foundation of China (41822101, 41888101, 41971022 and 41772180), the Strategic Priority Research Program of the Chinese Academy of Sciences (XDB26020000), fellowship for the National Youth Talent Support Program of China (Ten Thousand People Plan), fellowship for Youth Talent Support Program of Fujian Province and the Innovation Team Project (IRTL1705). This research was also funded by the Swedish Formas (2017-01408). Cesar Azorin-Molina was supported by the IBER-STILLING project RTI2018-095749-A-100 (MCIU/AEI/FEDER,UE), the VENTS project AICO/2021/023 (GVA) and the CSIC Interdisciplinary Thematic Platform PTI-CLIMA. Article in Journal/Newspaper Arctic Digital.CSIC (Spanish National Research Council) Arctic Molina ENVELOPE(-62.017,-62.017,-64.017,-64.017) Science of The Total Environment 838 156023
institution Open Polar
collection Digital.CSIC (Spanish National Research Council)
op_collection_id ftcsic
language unknown
topic Wind speed
Interannual change
Oceanic-atmospheric oscillations
Asian summer monsoon
Asian winter monsoon
spellingShingle Wind speed
Interannual change
Oceanic-atmospheric oscillations
Asian summer monsoon
Asian winter monsoon
Zhou, Feifei
Zhao, Zheng
Azorín-Molina, César
Jia, Xin
Zhang, Gangfeng
Chen, Deliang
Liu, Jane
Guijarro, José A.
Zhang, F.
Fang, Keyan
Teleconnections between large-scale oceanic-atmospheric patterns and interannual surface wind speed variability across China: Regional and seasonal patterns
topic_facet Wind speed
Interannual change
Oceanic-atmospheric oscillations
Asian summer monsoon
Asian winter monsoon
description 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. We acknowledge supports from the National Science Foundation of China (41822101, 41888101, 41971022 and 41772180), the Strategic Priority Research Program of the Chinese Academy of Sciences (XDB26020000), fellowship for the National Youth Talent Support Program of China (Ten Thousand People Plan), fellowship for Youth Talent Support Program of Fujian Province and the Innovation Team Project (IRTL1705). This research was also funded by the Swedish Formas (2017-01408). Cesar Azorin-Molina was supported by the IBER-STILLING project RTI2018-095749-A-100 (MCIU/AEI/FEDER,UE), the VENTS project AICO/2021/023 (GVA) and the CSIC Interdisciplinary Thematic Platform PTI-CLIMA.
author2 National Natural Science Foundation of China
Chinese Academy of Sciences
Natural Science Foundation of Fujian Province
Ministerio de Ciencia, Innovación y Universidades (España)
Agencia Estatal de Investigación (España)
Generalitat Valenciana
format Article in Journal/Newspaper
author Zhou, Feifei
Zhao, Zheng
Azorín-Molina, César
Jia, Xin
Zhang, Gangfeng
Chen, Deliang
Liu, Jane
Guijarro, José A.
Zhang, F.
Fang, Keyan
author_facet Zhou, Feifei
Zhao, Zheng
Azorín-Molina, César
Jia, Xin
Zhang, Gangfeng
Chen, Deliang
Liu, Jane
Guijarro, José A.
Zhang, F.
Fang, Keyan
author_sort Zhou, Feifei
title Teleconnections between large-scale oceanic-atmospheric patterns and interannual surface wind speed variability across China: Regional and seasonal patterns
title_short Teleconnections between large-scale oceanic-atmospheric patterns and interannual surface wind speed variability across China: Regional and seasonal patterns
title_full Teleconnections between large-scale oceanic-atmospheric patterns and interannual surface wind speed variability across China: Regional and seasonal patterns
title_fullStr Teleconnections between large-scale oceanic-atmospheric patterns and interannual surface wind speed variability across China: Regional and seasonal patterns
title_full_unstemmed Teleconnections between large-scale oceanic-atmospheric patterns and interannual surface wind speed variability across China: Regional and seasonal patterns
title_sort teleconnections between large-scale oceanic-atmospheric patterns and interannual surface wind speed variability across china: regional and seasonal patterns
publisher Elsevier
publishDate 2022
url http://hdl.handle.net/10261/284588
https://doi.org/10.1016/j.scitotenv.2022.156023
https://doi.org/10.13039/501100011033
https://doi.org/10.13039/501100002367
https://doi.org/10.13039/501100003359
https://doi.org/10.13039/501100001809
long_lat ENVELOPE(-62.017,-62.017,-64.017,-64.017)
geographic Arctic
Molina
geographic_facet Arctic
Molina
genre Arctic
genre_facet Arctic
op_relation #PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-095749-A-I00/ES/EVALUACION Y ATRIBUCION DE LA VARIABILIDAD DE LA VELOCIDAD MEDIA Y LAS RACHAS MAXIMAS DE VIENTO: CAUSAS DEL FENOMENO STILLING/
http://dx.doi.org/10.1016/j.scitotenv.2022.156023

doi:10.1016/j.scitotenv.2022.156023
issn: 0048-9697
e-issn: 1879-1026
Science of the Total Environment 838(1): 156023 (2022)
http://hdl.handle.net/10261/284588
http://dx.doi.org/10.13039/501100011033
http://dx.doi.org/10.13039/501100002367
http://dx.doi.org/10.13039/501100003359
http://dx.doi.org/10.13039/501100001809
op_rights none
op_doi https://doi.org/10.1016/j.scitotenv.2022.15602310.13039/50110001103310.13039/50110000236710.13039/50110000335910.13039/501100001809
container_title Science of The Total Environment
container_volume 838
container_start_page 156023
_version_ 1790597473440366592