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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ftcsic:oai:digital.csic.es:10261/222781 2024-02-11T10:01:30+01:00 Variability of daily maximum wind speed across China, 1975-2016: An examination of likely causes Zhang, Gangfeng Azorín-Molina, César Chen, Deliang Guijarro, José A. Kong, Feng Minola, L. McVicar, Tim R. Son, Seok-Woo Shi, Peijung 2020-04-01 http://hdl.handle.net/10261/222781 https://doi.org/10.1175/JCLI-D-19-0603.1 en eng American Meteorological Society Publisher's versión http://dx.doi.org/10.1175/JCLI-D-19-0603.1 Sí Journal of Climate 33(7): 2793-2816 (2020) 0894-8755 http://hdl.handle.net/10261/222781 doi:10.1175/JCLI-D-19-0603.1 1520-0442 open artículo http://purl.org/coar/resource_type/c_6501 2020 ftcsic https://doi.org/10.1175/JCLI-D-19-0603.1 2024-01-16T10:59:23Z 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 20.038 m s decade for all China annually, with decreases in winter (20.355 m s decade, p, 0.05) and autumn (20.108 m s decade; p, 0.05) and increases in summer (10.272 m s decade, p, 0.05) along with a weak recovery in spring (10.032 m s decade; 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 20.24 to 10.02 hPa decade) and geostrophic wind speed (from 20.6 to 10.6 m s decade)], 2) widely decreased atmospheric vertical momentum transport [atmospheric stratification thermal instability (from 23 to 11.5 decade) and vertical wind shear (from 20.4 to 10.2 m s decade)], and 3) decreased extratropical cyclones frequency (from 20.3 to 0 month decade) are likely causes of DMWS change. Peer reviewed Article in Journal/Newspaper Arctic Digital.CSIC (Spanish National Research Council) Arctic Pacific Journal of Climate 33 7 2793 2816 |
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Open Polar |
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Digital.CSIC (Spanish National Research Council) |
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ftcsic |
language |
English |
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 20.038 m s decade for all China annually, with decreases in winter (20.355 m s decade, p, 0.05) and autumn (20.108 m s decade; p, 0.05) and increases in summer (10.272 m s decade, p, 0.05) along with a weak recovery in spring (10.032 m s decade; 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 20.24 to 10.02 hPa decade) and geostrophic wind speed (from 20.6 to 10.6 m s decade)], 2) widely decreased atmospheric vertical momentum transport [atmospheric stratification thermal instability (from 23 to 11.5 decade) and vertical wind shear (from 20.4 to 10.2 m s decade)], and 3) decreased extratropical cyclones frequency (from 20.3 to 0 month decade) are likely causes of DMWS change. Peer reviewed |
format |
Article in Journal/Newspaper |
author |
Zhang, Gangfeng Azorín-Molina, César Chen, Deliang Guijarro, José A. Kong, Feng Minola, L. McVicar, Tim R. Son, Seok-Woo Shi, Peijung |
spellingShingle |
Zhang, Gangfeng Azorín-Molina, César Chen, Deliang Guijarro, José A. Kong, Feng Minola, L. McVicar, Tim R. Son, Seok-Woo Shi, Peijung Variability of daily maximum wind speed across China, 1975-2016: An examination of likely causes |
author_facet |
Zhang, Gangfeng Azorín-Molina, César Chen, Deliang Guijarro, José A. Kong, Feng Minola, L. McVicar, Tim R. Son, Seok-Woo Shi, Peijung |
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 |
http://hdl.handle.net/10261/222781 https://doi.org/10.1175/JCLI-D-19-0603.1 |
geographic |
Arctic Pacific |
geographic_facet |
Arctic Pacific |
genre |
Arctic |
genre_facet |
Arctic |
op_relation |
Publisher's versión http://dx.doi.org/10.1175/JCLI-D-19-0603.1 Sí Journal of Climate 33(7): 2793-2816 (2020) 0894-8755 http://hdl.handle.net/10261/222781 doi:10.1175/JCLI-D-19-0603.1 1520-0442 |
op_rights |
open |
op_doi |
https://doi.org/10.1175/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_ |
1790597302940860416 |