Variability of daily maximum wind speed across China, 1975–2016: an examination of likely causes
Assessing change in daily maximum wind speed and its likely causes is crucial for many applications such as wind power generation and wind disaster risk governance. Multidecadal variability of observed near-surface daily maximum wind speed (DMWS) from 778 stations over China is analyzed for 1975–201...
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American Meteorological Society
2020
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Online Access: | https://hdl.handle.net/20.500.11765/11992 |
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ftaemet:oai:repositorio.aemet.es:20.500.11765/11992 2024-06-23T07:50:51+00:00 Variability of daily maximum wind speed across China, 1975–2016: an examination of likely causes Zhang, Gangfeng Azorín Molina, César Chen, Deliang Guijarro Pastor, José Antonio Kong, Feng Minola, Lorenzo McVicar, Tim R. Son, Seok-Woo Shi, Peijun 2020 https://hdl.handle.net/20.500.11765/11992 eng eng American Meteorological Society https://dx.doi.org/10.1175/JCLI-D-19-0603.1 info:eu-repo/grantAgreement/EC/H2020/703733 Journal of Climate. 2020, 33, p. 2793–2816 0894-8755 1520-0442 http://hdl.handle.net/20.500.11765/11992 info:eu-repo/semantics/openAccess Climate change Annual variations Seasonal variability Trends info:eu-repo/semantics/article 2020 ftaemet https://doi.org/20.500.11765/1199210.1175/JCLI-D-19-0603.1 2024-06-03T14:17:57Z Assessing change in daily maximum wind speed and its likely causes is crucial for many applications such as wind power generation and wind disaster risk governance. Multidecadal variability of observed near-surface daily maximum wind speed (DMWS) from 778 stations over China is analyzed for 1975–2016. A robust homogenization protocol using the R package Climatol was applied to the DMWS observations. The homogenized dataset displayed a significant (p < 0.05) declining trend of −0.038 m s−1 decade−1 for all China annually, with decreases in winter (−0.355 m s−1 decade−1, p < 0.05) and autumn (−0.108 m s−1 decade−1; p < 0.05) and increases in summer (+0.272 m s−1 decade−1, p < 0.05) along with a weak recovery in spring (+0.032 m s−1 decade−1; p > 0.10); that is, DMWS declined during the cold semester (October–March) and increased during the warm semester (April–September). Correlation analysis of the Arctic Oscillation, the Southern Oscillation, and the west Pacific modes exhibited significant correlation with DMWS variability, unveiling their complementarity in modulating DMWS. Further, we explored potential physical processes relating to the atmospheric circulation changes and their impacts on DMWS and found that 1) overall weakened horizontal airflow [large-scale mean horizontal pressure gradient (from −0.24 to +0.02 hPa decade−1) and geostrophic wind speed (from −0.6 to +0.6 m s−1 decade−1)], 2) widely decreased atmospheric vertical momentum transport [atmospheric stratification thermal instability (from −3 to +1.5 decade−1) and vertical wind shear (from −0.4 to +0.2 m s−1 decade−1)], and 3) decreased extratropical cyclones frequency (from −0.3 to 0 month decade−1) are likely causes of DMWS change. This study was supported by the National Natural Science Foundation of China (Grant 41621061), the National Key Research and Development Program–Global Change and Mitigation Project (Grant 2016YFA0602404), funding from STINT (CH2015-6226), and the European Union’s Horizon 2020 research and innovation ... Article in Journal/Newspaper Arctic Climate change ARCIMÍS (Archivo Climatológico y Meteorológico Institucional - AEMET, Agencia Estatal de Meteorología) Arctic Pacific Journal of Climate 33 7 2793 2816 |
institution |
Open Polar |
collection |
ARCIMÍS (Archivo Climatológico y Meteorológico Institucional - AEMET, Agencia Estatal de Meteorología) |
op_collection_id |
ftaemet |
language |
English |
topic |
Climate change Annual variations Seasonal variability Trends |
spellingShingle |
Climate change Annual variations Seasonal variability Trends Zhang, Gangfeng Azorín Molina, César Chen, Deliang Guijarro Pastor, José Antonio Kong, Feng Minola, Lorenzo McVicar, Tim R. Son, Seok-Woo Shi, Peijun Variability of daily maximum wind speed across China, 1975–2016: an examination of likely causes |
topic_facet |
Climate change Annual variations Seasonal variability Trends |
description |
Assessing change in daily maximum wind speed and its likely causes is crucial for many applications such as wind power generation and wind disaster risk governance. Multidecadal variability of observed near-surface daily maximum wind speed (DMWS) from 778 stations over China is analyzed for 1975–2016. A robust homogenization protocol using the R package Climatol was applied to the DMWS observations. The homogenized dataset displayed a significant (p < 0.05) declining trend of −0.038 m s−1 decade−1 for all China annually, with decreases in winter (−0.355 m s−1 decade−1, p < 0.05) and autumn (−0.108 m s−1 decade−1; p < 0.05) and increases in summer (+0.272 m s−1 decade−1, p < 0.05) along with a weak recovery in spring (+0.032 m s−1 decade−1; p > 0.10); that is, DMWS declined during the cold semester (October–March) and increased during the warm semester (April–September). Correlation analysis of the Arctic Oscillation, the Southern Oscillation, and the west Pacific modes exhibited significant correlation with DMWS variability, unveiling their complementarity in modulating DMWS. Further, we explored potential physical processes relating to the atmospheric circulation changes and their impacts on DMWS and found that 1) overall weakened horizontal airflow [large-scale mean horizontal pressure gradient (from −0.24 to +0.02 hPa decade−1) and geostrophic wind speed (from −0.6 to +0.6 m s−1 decade−1)], 2) widely decreased atmospheric vertical momentum transport [atmospheric stratification thermal instability (from −3 to +1.5 decade−1) and vertical wind shear (from −0.4 to +0.2 m s−1 decade−1)], and 3) decreased extratropical cyclones frequency (from −0.3 to 0 month decade−1) are likely causes of DMWS change. This study was supported by the National Natural Science Foundation of China (Grant 41621061), the National Key Research and Development Program–Global Change and Mitigation Project (Grant 2016YFA0602404), funding from STINT (CH2015-6226), and the European Union’s Horizon 2020 research and innovation ... |
format |
Article in Journal/Newspaper |
author |
Zhang, Gangfeng Azorín Molina, César Chen, Deliang Guijarro Pastor, José Antonio Kong, Feng Minola, Lorenzo McVicar, Tim R. Son, Seok-Woo Shi, Peijun |
author_facet |
Zhang, Gangfeng Azorín Molina, César Chen, Deliang Guijarro Pastor, José Antonio Kong, Feng Minola, Lorenzo McVicar, Tim R. Son, Seok-Woo Shi, Peijun |
author_sort |
Zhang, Gangfeng |
title |
Variability of daily maximum wind speed across China, 1975–2016: an examination of likely causes |
title_short |
Variability of daily maximum wind speed across China, 1975–2016: an examination of likely causes |
title_full |
Variability of daily maximum wind speed across China, 1975–2016: an examination of likely causes |
title_fullStr |
Variability of daily maximum wind speed across China, 1975–2016: an examination of likely causes |
title_full_unstemmed |
Variability of daily maximum wind speed across China, 1975–2016: an examination of likely causes |
title_sort |
variability of daily maximum wind speed across china, 1975–2016: an examination of likely causes |
publisher |
American Meteorological Society |
publishDate |
2020 |
url |
https://hdl.handle.net/20.500.11765/11992 |
geographic |
Arctic Pacific |
geographic_facet |
Arctic Pacific |
genre |
Arctic Climate change |
genre_facet |
Arctic Climate change |
op_relation |
https://dx.doi.org/10.1175/JCLI-D-19-0603.1 info:eu-repo/grantAgreement/EC/H2020/703733 Journal of Climate. 2020, 33, p. 2793–2816 0894-8755 1520-0442 http://hdl.handle.net/20.500.11765/11992 |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/20.500.11765/1199210.1175/JCLI-D-19-0603.1 |
container_title |
Journal of Climate |
container_volume |
33 |
container_issue |
7 |
container_start_page |
2793 |
op_container_end_page |
2816 |
_version_ |
1802641785525108736 |