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, José A., Kong, Feng, Minola, L., McVicar, Tim R., Son, Seok-Woo, Shi, Peijung
Format: Article in Journal/Newspaper
Language:English
Published: American Meteorological Society 2020
Subjects:
Online Access:http://hdl.handle.net/10261/222781
https://doi.org/10.1175/JCLI-D-19-0603.1
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spelling 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
institution Open Polar
collection Digital.CSIC (Spanish National Research Council)
op_collection_id 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

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
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