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Using Wind Setdown and Storm Surge on Lake Erie to Calibrate the Air-Sea Drag Coefficient

The air-sea drag coefficient controls the transfer of momentum from wind to water. In modeling storm surge, this coefficient is a crucial parameter for estimating the surge height. This study uses two strong wind events on Lake Erie to calibrate the drag coefficient using the Coupled Ocean Atmospher...

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Detalles Bibliográficos
Autor principal: Drews, Carl
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3747107/
https://www.ncbi.nlm.nih.gov/pubmed/23977309
http://dx.doi.org/10.1371/journal.pone.0072510
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author Drews, Carl
author_facet Drews, Carl
author_sort Drews, Carl
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description The air-sea drag coefficient controls the transfer of momentum from wind to water. In modeling storm surge, this coefficient is a crucial parameter for estimating the surge height. This study uses two strong wind events on Lake Erie to calibrate the drag coefficient using the Coupled Ocean Atmosphere Wave Sediment Transport (COAWST) modeling system and the the Regional Ocean Modeling System (ROMS). Simulated waves are generated on the lake with Simulating WAves Nearshore (SWAN). Wind setdown provides the opportunity to eliminate wave setup as a contributing factor, since waves are minimal at the upwind shore. The study finds that model results significantly underestimate wind setdown and storm surge when a typical open-ocean formulation without waves is used for the drag coefficient. The contribution of waves to wind setdown and storm surge is 34.7%. Scattered lake ice also increases the effective drag coefficient by a factor of 1.1.
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spelling pubmed-37471072013-08-23 Using Wind Setdown and Storm Surge on Lake Erie to Calibrate the Air-Sea Drag Coefficient Drews, Carl PLoS One Research Article The air-sea drag coefficient controls the transfer of momentum from wind to water. In modeling storm surge, this coefficient is a crucial parameter for estimating the surge height. This study uses two strong wind events on Lake Erie to calibrate the drag coefficient using the Coupled Ocean Atmosphere Wave Sediment Transport (COAWST) modeling system and the the Regional Ocean Modeling System (ROMS). Simulated waves are generated on the lake with Simulating WAves Nearshore (SWAN). Wind setdown provides the opportunity to eliminate wave setup as a contributing factor, since waves are minimal at the upwind shore. The study finds that model results significantly underestimate wind setdown and storm surge when a typical open-ocean formulation without waves is used for the drag coefficient. The contribution of waves to wind setdown and storm surge is 34.7%. Scattered lake ice also increases the effective drag coefficient by a factor of 1.1. Public Library of Science 2013-08-19 /pmc/articles/PMC3747107/ /pubmed/23977309 http://dx.doi.org/10.1371/journal.pone.0072510 Text en © 2013 Carl Drews http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Drews, Carl
Using Wind Setdown and Storm Surge on Lake Erie to Calibrate the Air-Sea Drag Coefficient
title Using Wind Setdown and Storm Surge on Lake Erie to Calibrate the Air-Sea Drag Coefficient
title_full Using Wind Setdown and Storm Surge on Lake Erie to Calibrate the Air-Sea Drag Coefficient
title_fullStr Using Wind Setdown and Storm Surge on Lake Erie to Calibrate the Air-Sea Drag Coefficient
title_full_unstemmed Using Wind Setdown and Storm Surge on Lake Erie to Calibrate the Air-Sea Drag Coefficient
title_short Using Wind Setdown and Storm Surge on Lake Erie to Calibrate the Air-Sea Drag Coefficient
title_sort using wind setdown and storm surge on lake erie to calibrate the air-sea drag coefficient
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3747107/
https://www.ncbi.nlm.nih.gov/pubmed/23977309
http://dx.doi.org/10.1371/journal.pone.0072510
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