Whitecap Coverage Dependence on Wind and Wave Statistics as Observed during SO GasEx and HiWinGS

Concurrent wavefield and turbulent flux measurements acquired during the Southern Ocean (SO) Gas Exchange (GasEx) and the High Wind Speed Gas Exchange Study (HiWinGS) projects permit evaluation of the dependence of the whitecap coverage W on wind speed, wave age, wave steepness, mean square slope, a...

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Main Authors: Brumer, Sophia Eleonora, Zappa, Christopher J., Brooks, Ian M., Tamura, Hitoshi, Brown, Scott, Blomquist, Byron W., Fairall, Christopher W., Cifuentes-Lorenzen, Alejandro
Format: Article in Journal/Newspaper
Language:English
Published: 2017
Subjects:
Online Access:https://doi.org/10.7916/D88K8KXJ
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record_format openpolar
spelling ftcolumbiauniv:oai:academiccommons.columbia.edu:10.7916/D88K8KXJ 2023-05-15T18:25:43+02:00 Whitecap Coverage Dependence on Wind and Wave Statistics as Observed during SO GasEx and HiWinGS Brumer, Sophia Eleonora Zappa, Christopher J. Brooks, Ian M. Tamura, Hitoshi Brown, Scott Blomquist, Byron W. Fairall, Christopher W. Cifuentes-Lorenzen, Alejandro 2017 https://doi.org/10.7916/D88K8KXJ English eng https://doi.org/10.7916/D88K8KXJ Oceanography Ocean-atmosphere interaction Ocean waves Ocean waves--Mathematical models Articles 2017 ftcolumbiauniv https://doi.org/10.7916/D88K8KXJ 2019-04-04T08:16:42Z Concurrent wavefield and turbulent flux measurements acquired during the Southern Ocean (SO) Gas Exchange (GasEx) and the High Wind Speed Gas Exchange Study (HiWinGS) projects permit evaluation of the dependence of the whitecap coverage W on wind speed, wave age, wave steepness, mean square slope, and wind-wave and breaking Reynolds numbers. The W was determined from over 600 high-frequency visible imagery recordings of 20 min each. Wave statistics were computed from in situ and remotely sensed data as well as from a WAVEWATCH III hindcast. The first shipborne estimates of W under sustained 10-m neutral wind speeds U10N of 25 m s−1 were obtained during HiWinGS. These measurements suggest that W levels off at high wind speed, not exceeding 10% when averaged over 20 min. Combining wind speed and wave height in the form of the wind-wave Reynolds number resulted in closely agreeing models for both datasets, individually and combined. These are also in good agreement with two previous studies. When expressing W in terms of wavefield statistics only or wave age, larger scatter is observed and/or there is little agreement between SO GasEx, HiWinGS, and previously published data. The wind speed–only parameterizations deduced from the SO GasEx and HiWinGS datasets agree closely and capture more of the observed W variability than Reynolds number parameterizations. However, these wind speed–only models do not agree as well with previous studies than the wind-wave Reynolds numbers. Article in Journal/Newspaper Southern Ocean Columbia University: Academic Commons Southern Ocean
institution Open Polar
collection Columbia University: Academic Commons
op_collection_id ftcolumbiauniv
language English
topic Oceanography
Ocean-atmosphere interaction
Ocean waves
Ocean waves--Mathematical models
spellingShingle Oceanography
Ocean-atmosphere interaction
Ocean waves
Ocean waves--Mathematical models
Brumer, Sophia Eleonora
Zappa, Christopher J.
Brooks, Ian M.
Tamura, Hitoshi
Brown, Scott
Blomquist, Byron W.
Fairall, Christopher W.
Cifuentes-Lorenzen, Alejandro
Whitecap Coverage Dependence on Wind and Wave Statistics as Observed during SO GasEx and HiWinGS
topic_facet Oceanography
Ocean-atmosphere interaction
Ocean waves
Ocean waves--Mathematical models
description Concurrent wavefield and turbulent flux measurements acquired during the Southern Ocean (SO) Gas Exchange (GasEx) and the High Wind Speed Gas Exchange Study (HiWinGS) projects permit evaluation of the dependence of the whitecap coverage W on wind speed, wave age, wave steepness, mean square slope, and wind-wave and breaking Reynolds numbers. The W was determined from over 600 high-frequency visible imagery recordings of 20 min each. Wave statistics were computed from in situ and remotely sensed data as well as from a WAVEWATCH III hindcast. The first shipborne estimates of W under sustained 10-m neutral wind speeds U10N of 25 m s−1 were obtained during HiWinGS. These measurements suggest that W levels off at high wind speed, not exceeding 10% when averaged over 20 min. Combining wind speed and wave height in the form of the wind-wave Reynolds number resulted in closely agreeing models for both datasets, individually and combined. These are also in good agreement with two previous studies. When expressing W in terms of wavefield statistics only or wave age, larger scatter is observed and/or there is little agreement between SO GasEx, HiWinGS, and previously published data. The wind speed–only parameterizations deduced from the SO GasEx and HiWinGS datasets agree closely and capture more of the observed W variability than Reynolds number parameterizations. However, these wind speed–only models do not agree as well with previous studies than the wind-wave Reynolds numbers.
format Article in Journal/Newspaper
author Brumer, Sophia Eleonora
Zappa, Christopher J.
Brooks, Ian M.
Tamura, Hitoshi
Brown, Scott
Blomquist, Byron W.
Fairall, Christopher W.
Cifuentes-Lorenzen, Alejandro
author_facet Brumer, Sophia Eleonora
Zappa, Christopher J.
Brooks, Ian M.
Tamura, Hitoshi
Brown, Scott
Blomquist, Byron W.
Fairall, Christopher W.
Cifuentes-Lorenzen, Alejandro
author_sort Brumer, Sophia Eleonora
title Whitecap Coverage Dependence on Wind and Wave Statistics as Observed during SO GasEx and HiWinGS
title_short Whitecap Coverage Dependence on Wind and Wave Statistics as Observed during SO GasEx and HiWinGS
title_full Whitecap Coverage Dependence on Wind and Wave Statistics as Observed during SO GasEx and HiWinGS
title_fullStr Whitecap Coverage Dependence on Wind and Wave Statistics as Observed during SO GasEx and HiWinGS
title_full_unstemmed Whitecap Coverage Dependence on Wind and Wave Statistics as Observed during SO GasEx and HiWinGS
title_sort whitecap coverage dependence on wind and wave statistics as observed during so gasex and hiwings
publishDate 2017
url https://doi.org/10.7916/D88K8KXJ
geographic Southern Ocean
geographic_facet Southern Ocean
genre Southern Ocean
genre_facet Southern Ocean
op_relation https://doi.org/10.7916/D88K8KXJ
op_doi https://doi.org/10.7916/D88K8KXJ
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