Effective fetch and relative exposure index maps for the Laurentian Great Lakes
Wind exposure is a key physical driver of coastal systems in aquatic environments influencing circulation and wave dynamics. A measure of wind exposure is fetch, the distance over which wind can travel across open water. In large lake systems, such as the Laurentian Great Lakes, estimating fetch has...
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description | Wind exposure is a key physical driver of coastal systems in aquatic environments influencing circulation and wave dynamics. A measure of wind exposure is fetch, the distance over which wind can travel across open water. In large lake systems, such as the Laurentian Great Lakes, estimating fetch has proven to be difficult due to their vast size and complex topobathymetry. Here we describe the development of two spatially discrete indicators of exposure to provide a more accurate indicator of the influence of wind exposure in the nearshore of the Laurentian Great Lakes. We summarized wind data from offshore buoys and used existing tools to calculate effective fetch and a relative exposure index (effective fetch scaled by mean wind speed) at a 30-m grid cell resolution. We validated these models by comparing our exposure maps to the U.S. Army Corps of Engineers Wave Information Studies models and found general agreement. These exposure maps are available for public download for the years 2004–2014.
Design Type(s)
statistical analysis and modeling objective • physiological process monitoring objective • data transformation objective
Measurement Type(s)
atmospheric wind
Technology Type(s)
digital curation
Factor Type(s)
temporal_instant
Sample Characteristic(s)
Lake Erie • Lake Huron • Lake Michigan • Lake Ontario • Lake Saint Clair • Lake Superior • lake
Machine-accessible metadata file describing the reported data
(ISA-Tab format) |
doi_str_mv | 10.1038/sdata.2018.295 |
format | Article |
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Design Type(s)
statistical analysis and modeling objective • physiological process monitoring objective • data transformation objective
Measurement Type(s)
atmospheric wind
Technology Type(s)
digital curation
Factor Type(s)
temporal_instant
Sample Characteristic(s)
Lake Erie • Lake Huron • Lake Michigan • Lake Ontario • Lake Saint Clair • Lake Superior • lake
Machine-accessible metadata file describing the reported data
(ISA-Tab format)</description><identifier>ISSN: 2052-4463</identifier><identifier>EISSN: 2052-4463</identifier><identifier>DOI: 10.1038/sdata.2018.295</identifier><identifier>PMID: 30561433</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>704/158/1144 ; 704/286 ; 704/829/2737 ; Data Descriptor ; Humanities and Social Sciences ; multidisciplinary ; Science</subject><ispartof>Scientific data, 2018-12, Vol.5 (1), p.180295-7, Article 180295</ispartof><rights>The Author(s) 2018</rights><rights>2018. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Copyright © 2018, The Author(s) 2018 The Author(s)</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c458t-ad7725f048adb0e5fe7bf870928a928e9d5720e33ee899dbd053207ad884baa93</citedby><cites>FETCH-LOGICAL-c458t-ad7725f048adb0e5fe7bf870928a928e9d5720e33ee899dbd053207ad884baa93</cites><orcidid>0000-0003-1541-3134</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6298251/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6298251/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,27924,27925,41120,42189,51576,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30561433$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Mason, Lacey A.</creatorcontrib><creatorcontrib>Riseng, Catherine M.</creatorcontrib><creatorcontrib>Layman, Andrew J.</creatorcontrib><creatorcontrib>Jensen, Robert</creatorcontrib><title>Effective fetch and relative exposure index maps for the Laurentian Great Lakes</title><title>Scientific data</title><addtitle>Sci Data</addtitle><addtitle>Sci Data</addtitle><description>Wind exposure is a key physical driver of coastal systems in aquatic environments influencing circulation and wave dynamics. A measure of wind exposure is fetch, the distance over which wind can travel across open water. In large lake systems, such as the Laurentian Great Lakes, estimating fetch has proven to be difficult due to their vast size and complex topobathymetry. Here we describe the development of two spatially discrete indicators of exposure to provide a more accurate indicator of the influence of wind exposure in the nearshore of the Laurentian Great Lakes. We summarized wind data from offshore buoys and used existing tools to calculate effective fetch and a relative exposure index (effective fetch scaled by mean wind speed) at a 30-m grid cell resolution. We validated these models by comparing our exposure maps to the U.S. Army Corps of Engineers Wave Information Studies models and found general agreement. These exposure maps are available for public download for the years 2004–2014.
Design Type(s)
statistical analysis and modeling objective • physiological process monitoring objective • data transformation objective
Measurement Type(s)
atmospheric wind
Technology Type(s)
digital curation
Factor Type(s)
temporal_instant
Sample Characteristic(s)
Lake Erie • Lake Huron • Lake Michigan • Lake Ontario • Lake Saint Clair • Lake Superior • lake
Machine-accessible metadata file describing the reported data
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Riseng, Catherine M. ; Layman, Andrew J. ; Jensen, Robert</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c458t-ad7725f048adb0e5fe7bf870928a928e9d5720e33ee899dbd053207ad884baa93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>704/158/1144</topic><topic>704/286</topic><topic>704/829/2737</topic><topic>Data Descriptor</topic><topic>Humanities and Social Sciences</topic><topic>multidisciplinary</topic><topic>Science</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mason, Lacey A.</creatorcontrib><creatorcontrib>Riseng, Catherine M.</creatorcontrib><creatorcontrib>Layman, Andrew J.</creatorcontrib><creatorcontrib>Jensen, Robert</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>Publicly Available Content 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>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Scientific data</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mason, Lacey A.</au><au>Riseng, Catherine M.</au><au>Layman, Andrew J.</au><au>Jensen, Robert</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Effective fetch and relative exposure index maps for the Laurentian Great Lakes</atitle><jtitle>Scientific data</jtitle><stitle>Sci Data</stitle><addtitle>Sci Data</addtitle><date>2018-12-18</date><risdate>2018</risdate><volume>5</volume><issue>1</issue><spage>180295</spage><epage>7</epage><pages>180295-7</pages><artnum>180295</artnum><issn>2052-4463</issn><eissn>2052-4463</eissn><abstract>Wind exposure is a key physical driver of coastal systems in aquatic environments influencing circulation and wave dynamics. A measure of wind exposure is fetch, the distance over which wind can travel across open water. In large lake systems, such as the Laurentian Great Lakes, estimating fetch has proven to be difficult due to their vast size and complex topobathymetry. Here we describe the development of two spatially discrete indicators of exposure to provide a more accurate indicator of the influence of wind exposure in the nearshore of the Laurentian Great Lakes. We summarized wind data from offshore buoys and used existing tools to calculate effective fetch and a relative exposure index (effective fetch scaled by mean wind speed) at a 30-m grid cell resolution. We validated these models by comparing our exposure maps to the U.S. Army Corps of Engineers Wave Information Studies models and found general agreement. These exposure maps are available for public download for the years 2004–2014.
Design Type(s)
statistical analysis and modeling objective • physiological process monitoring objective • data transformation objective
Measurement Type(s)
atmospheric wind
Technology Type(s)
digital curation
Factor Type(s)
temporal_instant
Sample Characteristic(s)
Lake Erie • Lake Huron • Lake Michigan • Lake Ontario • Lake Saint Clair • Lake Superior • lake
Machine-accessible metadata file describing the reported data
(ISA-Tab format)</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>30561433</pmid><doi>10.1038/sdata.2018.295</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0003-1541-3134</orcidid><oa>free_for_read</oa></addata></record> |
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source | DOAJ Directory of Open Access Journals; PubMed Central Open Access; Springer Nature OA Free Journals; Nature Free; EZB-FREE-00999 freely available EZB journals; PubMed Central |
subjects | 704/158/1144 704/286 704/829/2737 Data Descriptor Humanities and Social Sciences multidisciplinary Science |
title | Effective fetch and relative exposure index maps for the Laurentian Great Lakes |
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