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https://hdl.handle.net/2440/136704
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Type: | Journal article |
Title: | Model predictions of wave overwash extent into the marginal ice zone |
Author: | Pitt, J.P.A. Bennetts, L.G. Meylan, M.H. Massom, R.A. Toffoli, A. |
Citation: | Journal of Geophysical Research: Oceans, 2022; 127(10):1-22 |
Publisher: | American Geophysical Union (AGU) |
Issue Date: | 2022 |
ISSN: | 2169-9275 2169-9291 |
Statement of Responsibility: | Jordan P. A. Pitt, Luke G. Bennetts, Michael H. Meylan, Robert A. Massom, Alessandro Toffoli |
Abstract: | In the marginal ice zone (MIZ), where ocean waves and sea ice interact, waves can produce flows of water across ice floe surfaces in a process known as wave overwash. Overwash potentially influences wave propagation characteristics, floe thermodynamics, and floe surface biological and chemical processes. However, the extent of the MIZ affected by overwash and its dependence on prevailing wave and ice conditions is unknown. In this paper, we propose a model of overwash extent caused by irregular incoming waves into a MIZ consisting of a random floe field. We validate the overwash extent model against laboratory experiments. We use the model to study mild to extreme incoming waves to floe field characteristics of the spring–summer ice retreat and autumn–winter ice advance and with compact ice edges. Overwash is typically predicted to extend a few kilometers and is generally greater for the autumn–winter advance than the spring–summer retreat. The model predictions provide a basis for improved understanding of the impacts of ocean waves on the ice cover. We also apply the model to incoming waves and a floe field with a diffuse ice edge representative of conditions during a field experiment, predicting overwash extents up to 16 km. During the field experiment, the wave and ice floe properties were intermittently monitored by a camera system, demonstrating how the sparse field data available on overwash can be advanced. |
Keywords: | overwash; waves; sea ice; marginal ice zone |
Rights: | © 2022. The Authors. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
DOI: | 10.1029/2022jc018707 |
Grant ID: | http://purl.org/au-research/grants/arc/DP200102828 http://purl.org/au-research/grants/arc/FT190100404 |
Published version: | http://dx.doi.org/10.1029/2022jc018707 |
Appears in Collections: | Mathematical Sciences publications |
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hdl_136704.pdf | Published version | 1.4 MB | Adobe PDF | View/Open |
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