1980–2010 Variability in U.K. Surface Wind Climate

The climate of the northeast Atlantic region comprises substantial decadal variability in storminess. It also exhibits strong inter- and intra-annual variability in extreme high and low wind speed episodes. Here the authors quantify and discuss causes of the variability seen in the U.K. wind climate...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of climate 2013-02, Vol.26 (4), p.1172-1191
Hauptverfasser: Earl, Nick, Dorling, Steve, Hewston, Richard, von Glasow, Roland
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 1191
container_issue 4
container_start_page 1172
container_title Journal of climate
container_volume 26
creator Earl, Nick
Dorling, Steve
Hewston, Richard
von Glasow, Roland
description The climate of the northeast Atlantic region comprises substantial decadal variability in storminess. It also exhibits strong inter- and intra-annual variability in extreme high and low wind speed episodes. Here the authors quantify and discuss causes of the variability seen in the U.K. wind climate over the recent period 1980–2010. Variations in U.K. hourly mean (HM) wind speeds, in daily maximum gust speeds and in associated wind direction measurements, made at standard 10-m height and recorded across a network of 40 stations, are considered. The Weibull distribution is shown to generally provide a good fit to the hourly wind data, albeit with the shape parameterkspatially varying from 1.4 to 2.1, highlighting that the commonly assumedk= 2 Rayleigh distribution is not universal. It is found that the 10th and 50th percentile HM wind speeds have declined significantly over this specific period, while still incorporating a peak in the early 1990s. The authors’ analyses place the particularly ‘‘low wind’’ year of 2010 into longer-term context and their findings are compared with other recent international studies. Wind variability is also quantified and discussed in terms of variations in the exceedance of key wind speed thresholds of relevance to the insurance and wind energy industries. Associated interannual variability in energy density and potential wind power output of the order of ±20% around the mean is revealed. While 40% of network average winds are in the southwest quadrant, 51% of energy in the wind is associated with this sector. The findings are discussed in the context of current existing challenges to improve predictability in the Euro-Atlantic sector over all time scales.
doi_str_mv 10.1175/JCLI-D-12-00026.1
format Article
fullrecord <record><control><sourceid>jstor_proqu</sourceid><recordid>TN_cdi_proquest_miscellaneous_1318692713</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><jstor_id>26192207</jstor_id><sourcerecordid>26192207</sourcerecordid><originalsourceid>FETCH-LOGICAL-c389t-a67ce47a0ce9307a4544b846bb4370ec542efca61fc211b5cc3ca6954c47df333</originalsourceid><addsrcrecordid>eNqFkEtKA0EQhhtRMEYP4EIYEMHNxKp-91Li24ALX8ump9MDE8YZ7Z4s3HkHb-hJnJig4EJXRVFffVT9hOwijBCVOLoaTy7zkxxpDgBUjnCNDFBQyIFzuk4GoA3PtRJik2ylNANAKgEGhKPR8PH2TgEhe3CxckVVV91rVjXZ_eh6lN3OY-l8yB6rZpqN6-rJdWGbbJSuTmFnVYfk_uz0bnyRT27OL8fHk9wzbbrcSeUDVw58MAyU44LzQnNZFJwpCF5wGkrvJJaeIhbCe9Z3RnDP1bRkjA3J4dL7HNuXeUidfaqSD3XtmtDOk0WGWhqqcIHu_0Jn7Tw2_XWWamRGcc31X1TvkEYKZhYuXFI-tinFUNrn2P8dXy2CXaRtF2nbE4vUfqXdLw_Jwcrsknd1GV3jq_S9SJWW3FD5P4cAGk3P7S25Wera-DOXaCgFxT4BOcORZg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1336965393</pqid></control><display><type>article</type><title>1980–2010 Variability in U.K. Surface Wind Climate</title><source>American Meteorological Society</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>JSTOR Archive Collection A-Z Listing</source><creator>Earl, Nick ; Dorling, Steve ; Hewston, Richard ; von Glasow, Roland</creator><creatorcontrib>Earl, Nick ; Dorling, Steve ; Hewston, Richard ; von Glasow, Roland</creatorcontrib><description>The climate of the northeast Atlantic region comprises substantial decadal variability in storminess. It also exhibits strong inter- and intra-annual variability in extreme high and low wind speed episodes. Here the authors quantify and discuss causes of the variability seen in the U.K. wind climate over the recent period 1980–2010. Variations in U.K. hourly mean (HM) wind speeds, in daily maximum gust speeds and in associated wind direction measurements, made at standard 10-m height and recorded across a network of 40 stations, are considered. The Weibull distribution is shown to generally provide a good fit to the hourly wind data, albeit with the shape parameterkspatially varying from 1.4 to 2.1, highlighting that the commonly assumedk= 2 Rayleigh distribution is not universal. It is found that the 10th and 50th percentile HM wind speeds have declined significantly over this specific period, while still incorporating a peak in the early 1990s. The authors’ analyses place the particularly ‘‘low wind’’ year of 2010 into longer-term context and their findings are compared with other recent international studies. Wind variability is also quantified and discussed in terms of variations in the exceedance of key wind speed thresholds of relevance to the insurance and wind energy industries. Associated interannual variability in energy density and potential wind power output of the order of ±20% around the mean is revealed. While 40% of network average winds are in the southwest quadrant, 51% of energy in the wind is associated with this sector. The findings are discussed in the context of current existing challenges to improve predictability in the Euro-Atlantic sector over all time scales.</description><identifier>ISSN: 0894-8755</identifier><identifier>EISSN: 1520-0442</identifier><identifier>DOI: 10.1175/JCLI-D-12-00026.1</identifier><language>eng</language><publisher>Boston, MA: American Meteorological Society</publisher><subject>20th century ; Annual variations ; Bgi / Prodig ; Climate ; Climate change ; Climatic zones ; Cold ; Context ; Distribution ; Earth, ocean, space ; Energy ; Energy density ; Energy industry ; Europe ; Exact sciences and technology ; External geophysics ; Flux density ; Insurance ; Insured losses ; Interannual variability ; International studies ; Low wind speeds ; Meteorology ; Networks ; Physical geography ; Rayleigh distribution ; Seasons ; Storm damage ; Storms ; Surface wind ; The British Isles ; Variability ; Weibull distribution ; Wind ; Wind data ; Wind direction ; Wind measurement ; Wind power ; Wind power generation ; Wind speed ; Wind turbines ; Wind variability ; Wind velocity ; Winds ; Winds and their effects ; Winter</subject><ispartof>Journal of climate, 2013-02, Vol.26 (4), p.1172-1191</ispartof><rights>2013 American Meteorological Society</rights><rights>2014 INIST-CNRS</rights><rights>Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 2013</rights><rights>Copyright American Meteorological Society Feb 15, 2013</rights><rights>Copyright American Meteorological Society 2013</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c389t-a67ce47a0ce9307a4544b846bb4370ec542efca61fc211b5cc3ca6954c47df333</citedby><cites>FETCH-LOGICAL-c389t-a67ce47a0ce9307a4544b846bb4370ec542efca61fc211b5cc3ca6954c47df333</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/26192207$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/26192207$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,780,784,803,3681,27924,27925,58017,58250</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=27100819$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=27864926$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Earl, Nick</creatorcontrib><creatorcontrib>Dorling, Steve</creatorcontrib><creatorcontrib>Hewston, Richard</creatorcontrib><creatorcontrib>von Glasow, Roland</creatorcontrib><title>1980–2010 Variability in U.K. Surface Wind Climate</title><title>Journal of climate</title><description>The climate of the northeast Atlantic region comprises substantial decadal variability in storminess. It also exhibits strong inter- and intra-annual variability in extreme high and low wind speed episodes. Here the authors quantify and discuss causes of the variability seen in the U.K. wind climate over the recent period 1980–2010. Variations in U.K. hourly mean (HM) wind speeds, in daily maximum gust speeds and in associated wind direction measurements, made at standard 10-m height and recorded across a network of 40 stations, are considered. The Weibull distribution is shown to generally provide a good fit to the hourly wind data, albeit with the shape parameterkspatially varying from 1.4 to 2.1, highlighting that the commonly assumedk= 2 Rayleigh distribution is not universal. It is found that the 10th and 50th percentile HM wind speeds have declined significantly over this specific period, while still incorporating a peak in the early 1990s. The authors’ analyses place the particularly ‘‘low wind’’ year of 2010 into longer-term context and their findings are compared with other recent international studies. Wind variability is also quantified and discussed in terms of variations in the exceedance of key wind speed thresholds of relevance to the insurance and wind energy industries. Associated interannual variability in energy density and potential wind power output of the order of ±20% around the mean is revealed. While 40% of network average winds are in the southwest quadrant, 51% of energy in the wind is associated with this sector. The findings are discussed in the context of current existing challenges to improve predictability in the Euro-Atlantic sector over all time scales.</description><subject>20th century</subject><subject>Annual variations</subject><subject>Bgi / Prodig</subject><subject>Climate</subject><subject>Climate change</subject><subject>Climatic zones</subject><subject>Cold</subject><subject>Context</subject><subject>Distribution</subject><subject>Earth, ocean, space</subject><subject>Energy</subject><subject>Energy density</subject><subject>Energy industry</subject><subject>Europe</subject><subject>Exact sciences and technology</subject><subject>External geophysics</subject><subject>Flux density</subject><subject>Insurance</subject><subject>Insured losses</subject><subject>Interannual variability</subject><subject>International studies</subject><subject>Low wind speeds</subject><subject>Meteorology</subject><subject>Networks</subject><subject>Physical geography</subject><subject>Rayleigh distribution</subject><subject>Seasons</subject><subject>Storm damage</subject><subject>Storms</subject><subject>Surface wind</subject><subject>The British Isles</subject><subject>Variability</subject><subject>Weibull distribution</subject><subject>Wind</subject><subject>Wind data</subject><subject>Wind direction</subject><subject>Wind measurement</subject><subject>Wind power</subject><subject>Wind power generation</subject><subject>Wind speed</subject><subject>Wind turbines</subject><subject>Wind variability</subject><subject>Wind velocity</subject><subject>Winds</subject><subject>Winds and their effects</subject><subject>Winter</subject><issn>0894-8755</issn><issn>1520-0442</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqFkEtKA0EQhhtRMEYP4EIYEMHNxKp-91Li24ALX8ump9MDE8YZ7Z4s3HkHb-hJnJig4EJXRVFffVT9hOwijBCVOLoaTy7zkxxpDgBUjnCNDFBQyIFzuk4GoA3PtRJik2ylNANAKgEGhKPR8PH2TgEhe3CxckVVV91rVjXZ_eh6lN3OY-l8yB6rZpqN6-rJdWGbbJSuTmFnVYfk_uz0bnyRT27OL8fHk9wzbbrcSeUDVw58MAyU44LzQnNZFJwpCF5wGkrvJJaeIhbCe9Z3RnDP1bRkjA3J4dL7HNuXeUidfaqSD3XtmtDOk0WGWhqqcIHu_0Jn7Tw2_XWWamRGcc31X1TvkEYKZhYuXFI-tinFUNrn2P8dXy2CXaRtF2nbE4vUfqXdLw_Jwcrsknd1GV3jq_S9SJWW3FD5P4cAGk3P7S25Wera-DOXaCgFxT4BOcORZg</recordid><startdate>20130215</startdate><enddate>20130215</enddate><creator>Earl, Nick</creator><creator>Dorling, Steve</creator><creator>Hewston, Richard</creator><creator>von Glasow, Roland</creator><general>American Meteorological Society</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QH</scope><scope>7TG</scope><scope>7UA</scope><scope>7X2</scope><scope>7XB</scope><scope>88F</scope><scope>88I</scope><scope>8AF</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>M0K</scope><scope>M1Q</scope><scope>M2O</scope><scope>M2P</scope><scope>MBDVC</scope><scope>P5Z</scope><scope>P62</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>S0X</scope><scope>7SU</scope><scope>8FD</scope><scope>FR3</scope><scope>H8D</scope><scope>L7M</scope></search><sort><creationdate>20130215</creationdate><title>1980–2010 Variability in U.K. Surface Wind Climate</title><author>Earl, Nick ; Dorling, Steve ; Hewston, Richard ; von Glasow, Roland</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c389t-a67ce47a0ce9307a4544b846bb4370ec542efca61fc211b5cc3ca6954c47df333</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>20th century</topic><topic>Annual variations</topic><topic>Bgi / Prodig</topic><topic>Climate</topic><topic>Climate change</topic><topic>Climatic zones</topic><topic>Cold</topic><topic>Context</topic><topic>Distribution</topic><topic>Earth, ocean, space</topic><topic>Energy</topic><topic>Energy density</topic><topic>Energy industry</topic><topic>Europe</topic><topic>Exact sciences and technology</topic><topic>External geophysics</topic><topic>Flux density</topic><topic>Insurance</topic><topic>Insured losses</topic><topic>Interannual variability</topic><topic>International studies</topic><topic>Low wind speeds</topic><topic>Meteorology</topic><topic>Networks</topic><topic>Physical geography</topic><topic>Rayleigh distribution</topic><topic>Seasons</topic><topic>Storm damage</topic><topic>Storms</topic><topic>Surface wind</topic><topic>The British Isles</topic><topic>Variability</topic><topic>Weibull distribution</topic><topic>Wind</topic><topic>Wind data</topic><topic>Wind direction</topic><topic>Wind measurement</topic><topic>Wind power</topic><topic>Wind power generation</topic><topic>Wind speed</topic><topic>Wind turbines</topic><topic>Wind variability</topic><topic>Wind velocity</topic><topic>Winds</topic><topic>Winds and their effects</topic><topic>Winter</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Earl, Nick</creatorcontrib><creatorcontrib>Dorling, Steve</creatorcontrib><creatorcontrib>Hewston, Richard</creatorcontrib><creatorcontrib>von Glasow, Roland</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Aqualine</collection><collection>Meteorological &amp; Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Agricultural Science Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Military Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>eLibrary</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric &amp; Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy &amp; Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) Professional</collection><collection>Agricultural Science Database</collection><collection>Military Database</collection><collection>Research Library</collection><collection>Science Database</collection><collection>Research Library (Corporate)</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric &amp; Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>SIRS Editorial</collection><collection>Environmental Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Journal of climate</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Earl, Nick</au><au>Dorling, Steve</au><au>Hewston, Richard</au><au>von Glasow, Roland</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>1980–2010 Variability in U.K. Surface Wind Climate</atitle><jtitle>Journal of climate</jtitle><date>2013-02-15</date><risdate>2013</risdate><volume>26</volume><issue>4</issue><spage>1172</spage><epage>1191</epage><pages>1172-1191</pages><issn>0894-8755</issn><eissn>1520-0442</eissn><abstract>The climate of the northeast Atlantic region comprises substantial decadal variability in storminess. It also exhibits strong inter- and intra-annual variability in extreme high and low wind speed episodes. Here the authors quantify and discuss causes of the variability seen in the U.K. wind climate over the recent period 1980–2010. Variations in U.K. hourly mean (HM) wind speeds, in daily maximum gust speeds and in associated wind direction measurements, made at standard 10-m height and recorded across a network of 40 stations, are considered. The Weibull distribution is shown to generally provide a good fit to the hourly wind data, albeit with the shape parameterkspatially varying from 1.4 to 2.1, highlighting that the commonly assumedk= 2 Rayleigh distribution is not universal. It is found that the 10th and 50th percentile HM wind speeds have declined significantly over this specific period, while still incorporating a peak in the early 1990s. The authors’ analyses place the particularly ‘‘low wind’’ year of 2010 into longer-term context and their findings are compared with other recent international studies. Wind variability is also quantified and discussed in terms of variations in the exceedance of key wind speed thresholds of relevance to the insurance and wind energy industries. Associated interannual variability in energy density and potential wind power output of the order of ±20% around the mean is revealed. While 40% of network average winds are in the southwest quadrant, 51% of energy in the wind is associated with this sector. The findings are discussed in the context of current existing challenges to improve predictability in the Euro-Atlantic sector over all time scales.</abstract><cop>Boston, MA</cop><pub>American Meteorological Society</pub><doi>10.1175/JCLI-D-12-00026.1</doi><tpages>20</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0894-8755
ispartof Journal of climate, 2013-02, Vol.26 (4), p.1172-1191
issn 0894-8755
1520-0442
language eng
recordid cdi_proquest_miscellaneous_1318692713
source American Meteorological Society; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; JSTOR Archive Collection A-Z Listing
subjects 20th century
Annual variations
Bgi / Prodig
Climate
Climate change
Climatic zones
Cold
Context
Distribution
Earth, ocean, space
Energy
Energy density
Energy industry
Europe
Exact sciences and technology
External geophysics
Flux density
Insurance
Insured losses
Interannual variability
International studies
Low wind speeds
Meteorology
Networks
Physical geography
Rayleigh distribution
Seasons
Storm damage
Storms
Surface wind
The British Isles
Variability
Weibull distribution
Wind
Wind data
Wind direction
Wind measurement
Wind power
Wind power generation
Wind speed
Wind turbines
Wind variability
Wind velocity
Winds
Winds and their effects
Winter
title 1980–2010 Variability in U.K. Surface Wind Climate
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-26T16%3A37%3A15IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-jstor_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=1980%E2%80%932010%20Variability%20in%20U.K.%20Surface%20Wind%20Climate&rft.jtitle=Journal%20of%20climate&rft.au=Earl,%20Nick&rft.date=2013-02-15&rft.volume=26&rft.issue=4&rft.spage=1172&rft.epage=1191&rft.pages=1172-1191&rft.issn=0894-8755&rft.eissn=1520-0442&rft_id=info:doi/10.1175/JCLI-D-12-00026.1&rft_dat=%3Cjstor_proqu%3E26192207%3C/jstor_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1336965393&rft_id=info:pmid/&rft_jstor_id=26192207&rfr_iscdi=true