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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Published in | Scientific data Vol. 5; no. 1; pp. 180295 - 7 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
London
Nature Publishing Group UK
18.12.2018
Nature Publishing Group |
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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) |
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AbstractList | 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. 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) |
ArticleNumber | 180295 |
Author | Layman, Andrew J. Mason, Lacey A. Jensen, Robert Riseng, Catherine M. |
Author_xml | – sequence: 1 givenname: Lacey A. orcidid: 0000-0003-1541-3134 surname: Mason fullname: Mason, Lacey A. email: lacey.mason@noaa.gov organization: School for Environment and Sustainability, University of Michigan, Great Lakes Environmental Research Laboratory, National Oceanic and Atmospheric Administration – sequence: 2 givenname: Catherine M. surname: Riseng fullname: Riseng, Catherine M. organization: School for Environment and Sustainability, University of Michigan – sequence: 3 givenname: Andrew J. surname: Layman fullname: Layman, Andrew J. organization: Baltimore District, U.S. Army Corps of Engineers – sequence: 4 givenname: Robert surname: Jensen fullname: Jensen, Robert organization: Engineer Research and Development Center, U.S. Army Corps of Engineers, Galveston District |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/30561433$$D View this record in MEDLINE/PubMed |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 L.A.M. developed methods, created maps, and wrote the manuscript. C.M.R. guided research and reviewed the manuscript. A.J.L. developed methods and created maps. R.J. provided Wave Information Studies data, reviewed technical validation and the manuscript. |
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Title | Effective fetch and relative exposure index maps for the Laurentian Great Lakes |
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