Incorporating dependence on ice thickness in empirical parameterizations of wave dissipation by sea ice
This study is part of an effort to improve the Navy's ability to forecast wind-generated ocean waves in ice-infested regions, and here we are attempting to further this goal by improving prediction of dissipation of wave energy by sea ice. Rogers et al. (2021) presented new estimates of frequen...
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Online Access: | https://dx.doi.org/10.48550/arxiv.2104.01246 https://arxiv.org/abs/2104.01246 |
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ftdatacite:10.48550/arxiv.2104.01246 2023-05-15T18:17:32+02:00 Incorporating dependence on ice thickness in empirical parameterizations of wave dissipation by sea ice Rogers, W. Erick Yu, Jie Wang, David W. 2021 https://dx.doi.org/10.48550/arxiv.2104.01246 https://arxiv.org/abs/2104.01246 unknown arXiv arXiv.org perpetual, non-exclusive license http://arxiv.org/licenses/nonexclusive-distrib/1.0/ Atmospheric and Oceanic Physics physics.ao-ph FOS Physical sciences Article CreativeWork article Preprint 2021 ftdatacite https://doi.org/10.48550/arxiv.2104.01246 2022-03-10T14:14:29Z This study is part of an effort to improve the Navy's ability to forecast wind-generated ocean waves in ice-infested regions, and here we are attempting to further this goal by improving prediction of dissipation of wave energy by sea ice. Rogers et al. (2021) presented new estimates of frequency-dependent dissipation of wave energy by sea ice, based on model-data inversion, and studied the correlation with various other parameters, such as ice thickness and sea state variables. Here, we use that dataset to propose a new dissipation parameterization which explicitly incorporates the dependence on the ice thickness, in addition to the wave frequency. The goal is to determine whether a parameterization dependent on wave frequency and ice thickness can be more accurate than one dependent only on wave frequency. Due to the dominant impact of frequency and confounding difficulties of field measurements, this is not a foregone conclusion. A parameterization is developed using the non-dimensionalization approach proposed by Yu et al. (2019). We find that the non-dimensionalization does result in significant scale collapse of the data, and inclusion of ice thickness does improve accuracy, most evidenced by reduced scatter when applied to the same dataset. However, evaluations against independent datasets are mixed. Possible reasons for this are discussed. : Technical Report Article in Journal/Newspaper Sea ice DataCite Metadata Store (German National Library of Science and Technology) |
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DataCite Metadata Store (German National Library of Science and Technology) |
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topic |
Atmospheric and Oceanic Physics physics.ao-ph FOS Physical sciences |
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Atmospheric and Oceanic Physics physics.ao-ph FOS Physical sciences Rogers, W. Erick Yu, Jie Wang, David W. Incorporating dependence on ice thickness in empirical parameterizations of wave dissipation by sea ice |
topic_facet |
Atmospheric and Oceanic Physics physics.ao-ph FOS Physical sciences |
description |
This study is part of an effort to improve the Navy's ability to forecast wind-generated ocean waves in ice-infested regions, and here we are attempting to further this goal by improving prediction of dissipation of wave energy by sea ice. Rogers et al. (2021) presented new estimates of frequency-dependent dissipation of wave energy by sea ice, based on model-data inversion, and studied the correlation with various other parameters, such as ice thickness and sea state variables. Here, we use that dataset to propose a new dissipation parameterization which explicitly incorporates the dependence on the ice thickness, in addition to the wave frequency. The goal is to determine whether a parameterization dependent on wave frequency and ice thickness can be more accurate than one dependent only on wave frequency. Due to the dominant impact of frequency and confounding difficulties of field measurements, this is not a foregone conclusion. A parameterization is developed using the non-dimensionalization approach proposed by Yu et al. (2019). We find that the non-dimensionalization does result in significant scale collapse of the data, and inclusion of ice thickness does improve accuracy, most evidenced by reduced scatter when applied to the same dataset. However, evaluations against independent datasets are mixed. Possible reasons for this are discussed. : Technical Report |
format |
Article in Journal/Newspaper |
author |
Rogers, W. Erick Yu, Jie Wang, David W. |
author_facet |
Rogers, W. Erick Yu, Jie Wang, David W. |
author_sort |
Rogers, W. Erick |
title |
Incorporating dependence on ice thickness in empirical parameterizations of wave dissipation by sea ice |
title_short |
Incorporating dependence on ice thickness in empirical parameterizations of wave dissipation by sea ice |
title_full |
Incorporating dependence on ice thickness in empirical parameterizations of wave dissipation by sea ice |
title_fullStr |
Incorporating dependence on ice thickness in empirical parameterizations of wave dissipation by sea ice |
title_full_unstemmed |
Incorporating dependence on ice thickness in empirical parameterizations of wave dissipation by sea ice |
title_sort |
incorporating dependence on ice thickness in empirical parameterizations of wave dissipation by sea ice |
publisher |
arXiv |
publishDate |
2021 |
url |
https://dx.doi.org/10.48550/arxiv.2104.01246 https://arxiv.org/abs/2104.01246 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_rights |
arXiv.org perpetual, non-exclusive license http://arxiv.org/licenses/nonexclusive-distrib/1.0/ |
op_doi |
https://doi.org/10.48550/arxiv.2104.01246 |
_version_ |
1766191830863446016 |