THREE-DIMENSIONAL DISCRETE ELEMENT MODELING OF FIRST-YEAR SEA ICE RIDGES
A three-dimensional discrete element model has been developed to investigate the evolution of particular aspects of pressure ridges in thin, first-year, sea ice. The primary goal of this work is to test one facet of recent theoretical advances in the representation of sea ice thickness in Earth Syst...
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2019
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ftnavalpschool:oai:calhoun.nps.edu:10945/62801 2024-06-09T07:43:41+00:00 THREE-DIMENSIONAL DISCRETE ELEMENT MODELING OF FIRST-YEAR SEA ICE RIDGES Davis, Travis J. Radko, Timour Roberts, Andrew F. Oceanography Turner, Adrian, Los Alamos National Laboratory 2019-06 application/pdf https://hdl.handle.net/10945/62801 unknown Monterey, CA; Naval Postgraduate School NPS Outstanding Theses and Dissertations 31669 https://hdl.handle.net/10945/62801 This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States. discrete element model sea ice Arctic ridge LAMMPS Thesis 2019 ftnavalpschool 2024-05-15T00:26:04Z A three-dimensional discrete element model has been developed to investigate the evolution of particular aspects of pressure ridges in thin, first-year, sea ice. The primary goal of this work is to test one facet of recent theoretical advances in the representation of sea ice thickness in Earth System Models that advocates for the introduction of macro-porosity, R, to the state space of basin-scale sea ice models. Macro-porosity is caused by cavities between fractured sea ice blocks created during the formation of ridges during convergence of ice floes in the Southern and Arctic Oceans. Previously, sea ice thickness in basin-scale sea ice models has been represented by a real thickness distribution, g(h), but new mathematical derivations suggest that this should be replaced in predictive models with a bivariate distribution, g(h, R). In this thesis, a discrete element model of sea ice is described and then used to investigate the evolution of R in three-dimensional ridges. Changes in R over time are extremely difficult to measure in the Arctic, and therefore this research bridges observational constraints and theoretical assumptions. The final results suggest that, within the constraints of the given discrete element model, a more sudden change in macro-porosity occurs at the initial creation of a ridge than current theory suggests, but thereafter evolution of macro-porosity follows a path similar to what a Coulombic friction model predicts. Approved for public release; distribution is unlimited. Outstanding Thesis Lieutenant, United States Navy http://archive.org/details/threedimensional1094562801 Thesis Arctic Sea ice Naval Postgraduate School: Calhoun Arctic |
institution |
Open Polar |
collection |
Naval Postgraduate School: Calhoun |
op_collection_id |
ftnavalpschool |
language |
unknown |
topic |
discrete element model sea ice Arctic ridge LAMMPS |
spellingShingle |
discrete element model sea ice Arctic ridge LAMMPS Davis, Travis J. THREE-DIMENSIONAL DISCRETE ELEMENT MODELING OF FIRST-YEAR SEA ICE RIDGES |
topic_facet |
discrete element model sea ice Arctic ridge LAMMPS |
description |
A three-dimensional discrete element model has been developed to investigate the evolution of particular aspects of pressure ridges in thin, first-year, sea ice. The primary goal of this work is to test one facet of recent theoretical advances in the representation of sea ice thickness in Earth System Models that advocates for the introduction of macro-porosity, R, to the state space of basin-scale sea ice models. Macro-porosity is caused by cavities between fractured sea ice blocks created during the formation of ridges during convergence of ice floes in the Southern and Arctic Oceans. Previously, sea ice thickness in basin-scale sea ice models has been represented by a real thickness distribution, g(h), but new mathematical derivations suggest that this should be replaced in predictive models with a bivariate distribution, g(h, R). In this thesis, a discrete element model of sea ice is described and then used to investigate the evolution of R in three-dimensional ridges. Changes in R over time are extremely difficult to measure in the Arctic, and therefore this research bridges observational constraints and theoretical assumptions. The final results suggest that, within the constraints of the given discrete element model, a more sudden change in macro-porosity occurs at the initial creation of a ridge than current theory suggests, but thereafter evolution of macro-porosity follows a path similar to what a Coulombic friction model predicts. Approved for public release; distribution is unlimited. Outstanding Thesis Lieutenant, United States Navy http://archive.org/details/threedimensional1094562801 |
author2 |
Radko, Timour Roberts, Andrew F. Oceanography Turner, Adrian, Los Alamos National Laboratory |
format |
Thesis |
author |
Davis, Travis J. |
author_facet |
Davis, Travis J. |
author_sort |
Davis, Travis J. |
title |
THREE-DIMENSIONAL DISCRETE ELEMENT MODELING OF FIRST-YEAR SEA ICE RIDGES |
title_short |
THREE-DIMENSIONAL DISCRETE ELEMENT MODELING OF FIRST-YEAR SEA ICE RIDGES |
title_full |
THREE-DIMENSIONAL DISCRETE ELEMENT MODELING OF FIRST-YEAR SEA ICE RIDGES |
title_fullStr |
THREE-DIMENSIONAL DISCRETE ELEMENT MODELING OF FIRST-YEAR SEA ICE RIDGES |
title_full_unstemmed |
THREE-DIMENSIONAL DISCRETE ELEMENT MODELING OF FIRST-YEAR SEA ICE RIDGES |
title_sort |
three-dimensional discrete element modeling of first-year sea ice ridges |
publisher |
Monterey, CA; Naval Postgraduate School |
publishDate |
2019 |
url |
https://hdl.handle.net/10945/62801 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Sea ice |
genre_facet |
Arctic Sea ice |
op_relation |
NPS Outstanding Theses and Dissertations 31669 https://hdl.handle.net/10945/62801 |
op_rights |
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States. |
_version_ |
1801372549831983104 |