Numerical simulation for cutoff draft of sea ice ridge keels based on a novel optimal modeling with nonlinear-statistical constraints

Optimal identification and numerical models are powerful tools that have been widely used in geoscience research for many years. In this study, we proposed a novel optimal method to simulate a key parameter (cutoff draft) of the ridge keels due to dynamic deformation of sea ice at bottom. The sea ic...

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Published in:Electronic Research Archive
Main Authors: Bing Tan, Peng Lu, Bin Cheng, Ting Wang, Chunchun Gao, Zhijun Li
Format: Article in Journal/Newspaper
Language:English
Published: AIMS Press 2022
Subjects:
Online Access:https://doi.org/10.3934/era.2022086
https://doaj.org/article/f58b37b85fc747cb83e5e20a4ff7c8ef
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spelling ftdoajarticles:oai:doaj.org/article:f58b37b85fc747cb83e5e20a4ff7c8ef 2023-05-15T14:07:41+02:00 Numerical simulation for cutoff draft of sea ice ridge keels based on a novel optimal modeling with nonlinear-statistical constraints Bing Tan Peng Lu Bin Cheng Ting Wang Chunchun Gao Zhijun Li 2022-03-01T00:00:00Z https://doi.org/10.3934/era.2022086 https://doaj.org/article/f58b37b85fc747cb83e5e20a4ff7c8ef EN eng AIMS Press https://www.aimspress.com/article/doi/10.3934/era.2022086?viewType=HTML https://doaj.org/toc/2688-1594 doi:10.3934/era.2022086 2688-1594 https://doaj.org/article/f58b37b85fc747cb83e5e20a4ff7c8ef Electronic Research Archive, Vol 30, Iss 5, Pp 1708-1722 (2022) optimal modeling nonlinear-statistical constraint numerical simulation cutoff draft ridge keel Mathematics QA1-939 Applied mathematics. Quantitative methods T57-57.97 article 2022 ftdoajarticles https://doi.org/10.3934/era.2022086 2022-12-30T19:46:06Z Optimal identification and numerical models are powerful tools that have been widely used in geoscience research for many years. In this study, we proposed a novel optimal method to simulate a key parameter (cutoff draft) of the ridge keels due to dynamic deformation of sea ice at bottom. The sea ice ridges were measured in the Northwestern Weddell Sea of Antarctic, by a helicopter-borne electromagnetic-induction (EM) system. An optimal model with nonlinear-statistical constraints was developed, by taking deviations between the theoretical and measured keel draft (spacing) distributions as the performance criterion, and cutoff draft as the identified parameter. The properties of the optimal model and the existence of the optimal parameter were demonstrated. We identified that the optimal cutoff draft was 3.78 m via an optimal numerical algorithm, this value was then employed to separate the ridge keels from the ice bottom. Finally, the relationship between the mean keel draft and frequency (number of keels per km) was analyzed, and the result showed that this relationship was modeled well by a logarithmic function with a correlation coefficient of 0.7. The present optimal modeling method will provide a new theoretical reference for separating accurately the ridge keels from undeformed sea ice bottom, and analyzing the relationship between the morphologies of sea ice surface and bottom and the inversions of sea ice bottom draft and ice thickness by the surface height. Article in Journal/Newspaper Antarc* Antarctic Sea ice Weddell Sea Directory of Open Access Journals: DOAJ Articles Antarctic Weddell Sea Weddell Electronic Research Archive 30 5 1708 1722
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic optimal modeling
nonlinear-statistical constraint
numerical simulation
cutoff draft
ridge keel
Mathematics
QA1-939
Applied mathematics. Quantitative methods
T57-57.97
spellingShingle optimal modeling
nonlinear-statistical constraint
numerical simulation
cutoff draft
ridge keel
Mathematics
QA1-939
Applied mathematics. Quantitative methods
T57-57.97
Bing Tan
Peng Lu
Bin Cheng
Ting Wang
Chunchun Gao
Zhijun Li
Numerical simulation for cutoff draft of sea ice ridge keels based on a novel optimal modeling with nonlinear-statistical constraints
topic_facet optimal modeling
nonlinear-statistical constraint
numerical simulation
cutoff draft
ridge keel
Mathematics
QA1-939
Applied mathematics. Quantitative methods
T57-57.97
description Optimal identification and numerical models are powerful tools that have been widely used in geoscience research for many years. In this study, we proposed a novel optimal method to simulate a key parameter (cutoff draft) of the ridge keels due to dynamic deformation of sea ice at bottom. The sea ice ridges were measured in the Northwestern Weddell Sea of Antarctic, by a helicopter-borne electromagnetic-induction (EM) system. An optimal model with nonlinear-statistical constraints was developed, by taking deviations between the theoretical and measured keel draft (spacing) distributions as the performance criterion, and cutoff draft as the identified parameter. The properties of the optimal model and the existence of the optimal parameter were demonstrated. We identified that the optimal cutoff draft was 3.78 m via an optimal numerical algorithm, this value was then employed to separate the ridge keels from the ice bottom. Finally, the relationship between the mean keel draft and frequency (number of keels per km) was analyzed, and the result showed that this relationship was modeled well by a logarithmic function with a correlation coefficient of 0.7. The present optimal modeling method will provide a new theoretical reference for separating accurately the ridge keels from undeformed sea ice bottom, and analyzing the relationship between the morphologies of sea ice surface and bottom and the inversions of sea ice bottom draft and ice thickness by the surface height.
format Article in Journal/Newspaper
author Bing Tan
Peng Lu
Bin Cheng
Ting Wang
Chunchun Gao
Zhijun Li
author_facet Bing Tan
Peng Lu
Bin Cheng
Ting Wang
Chunchun Gao
Zhijun Li
author_sort Bing Tan
title Numerical simulation for cutoff draft of sea ice ridge keels based on a novel optimal modeling with nonlinear-statistical constraints
title_short Numerical simulation for cutoff draft of sea ice ridge keels based on a novel optimal modeling with nonlinear-statistical constraints
title_full Numerical simulation for cutoff draft of sea ice ridge keels based on a novel optimal modeling with nonlinear-statistical constraints
title_fullStr Numerical simulation for cutoff draft of sea ice ridge keels based on a novel optimal modeling with nonlinear-statistical constraints
title_full_unstemmed Numerical simulation for cutoff draft of sea ice ridge keels based on a novel optimal modeling with nonlinear-statistical constraints
title_sort numerical simulation for cutoff draft of sea ice ridge keels based on a novel optimal modeling with nonlinear-statistical constraints
publisher AIMS Press
publishDate 2022
url https://doi.org/10.3934/era.2022086
https://doaj.org/article/f58b37b85fc747cb83e5e20a4ff7c8ef
geographic Antarctic
Weddell Sea
Weddell
geographic_facet Antarctic
Weddell Sea
Weddell
genre Antarc*
Antarctic
Sea ice
Weddell Sea
genre_facet Antarc*
Antarctic
Sea ice
Weddell Sea
op_source Electronic Research Archive, Vol 30, Iss 5, Pp 1708-1722 (2022)
op_relation https://www.aimspress.com/article/doi/10.3934/era.2022086?viewType=HTML
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doi:10.3934/era.2022086
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container_title Electronic Research Archive
container_volume 30
container_issue 5
container_start_page 1708
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