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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Published in:Journal of Climate
Main Authors: Zhang, Gangfeng, Azorín Molina, César, Chen, Deliang, Guijarro Pastor, José Antonio, Kong, Feng, Minola, Lorenzo, McVicar, Tim R., Son, Seok-Woo, Shi, Peijun
Format: Article in Journal/Newspaper
Language:English
Published: American Meteorological Society 2020
Subjects:
Online Access:https://hdl.handle.net/20.500.11765/11992
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spelling 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
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