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Two-component sea-ice thickness redistribution model
Sea-ice dynamics models play an important role in operational arctic ice forecasting. An essential component of these models is the redistribution of the ice thickness as the ice field undergoes ridging and lead formation resulting from the loads imposed by the wind and water currents. The present p...
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Published in: | Cold regions science and technology 2008, Vol.51 (1), p.20-37 |
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description | Sea-ice dynamics models play an important role in operational arctic ice forecasting. An essential component of these models is the redistribution of the ice thickness as the ice field undergoes ridging and lead formation resulting from the loads imposed by the wind and water currents. The present paper describes an ice thickness redistribution model that treats such processes. It can be regarded as a development of the Gray and Morland [Gray, J.M.N.T., Morland, L.W., 1994. A two-dimensional model for the dynamics of sea-ice.
Philos. Trans. R. Soc. Lond., A 347, 219–290] mixture theory approach that considers two ice components; undeformed level ice, and deformed ridged ice. Equations for the temporal changes in ice thickness and area fraction for both classes of undeformed and ridged ice are formulated for general deformation fields. Sample calculations are performed for various initial conditions of ice thicknesses and area fractions, and for idealized strain rates including pure divergence, pure convergence and simple shear. The subsequent evolutions of ice thickness and area fraction are presented and discussed. Under continued forcing, the model shows that the ridged ice evolves towards a maximum thickness, a behaviour that has been noticed in both field observations and computer simulations of the pressure ridging process. These asymptotic ridged ice thicknesses are used to determine the ridging parameter
β that appears in the model and is related to the mass transfer from unridged to ridged ice. |
doi_str_mv | 10.1016/j.coldregions.2007.06.002 |
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Philos. Trans. R. Soc. Lond., A 347, 219–290] mixture theory approach that considers two ice components; undeformed level ice, and deformed ridged ice. Equations for the temporal changes in ice thickness and area fraction for both classes of undeformed and ridged ice are formulated for general deformation fields. Sample calculations are performed for various initial conditions of ice thicknesses and area fractions, and for idealized strain rates including pure divergence, pure convergence and simple shear. The subsequent evolutions of ice thickness and area fraction are presented and discussed. Under continued forcing, the model shows that the ridged ice evolves towards a maximum thickness, a behaviour that has been noticed in both field observations and computer simulations of the pressure ridging process. These asymptotic ridged ice thicknesses are used to determine the ridging parameter
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Philos. Trans. R. Soc. Lond., A 347, 219–290] mixture theory approach that considers two ice components; undeformed level ice, and deformed ridged ice. Equations for the temporal changes in ice thickness and area fraction for both classes of undeformed and ridged ice are formulated for general deformation fields. Sample calculations are performed for various initial conditions of ice thicknesses and area fractions, and for idealized strain rates including pure divergence, pure convergence and simple shear. The subsequent evolutions of ice thickness and area fraction are presented and discussed. Under continued forcing, the model shows that the ridged ice evolves towards a maximum thickness, a behaviour that has been noticed in both field observations and computer simulations of the pressure ridging process. These asymptotic ridged ice thicknesses are used to determine the ridging parameter
β that appears in the model and is related to the mass transfer from unridged to ridged ice.</description><subject>Deformed ice</subject><subject>Earth, ocean, space</subject><subject>Exact sciences and technology</subject><subject>External geophysics</subject><subject>Ice thickness distribution</subject><subject>Level ice</subject><subject>Physics of the oceans</subject><subject>Ridging</subject><subject>Sea ice</subject><issn>0165-232X</issn><issn>1872-7441</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><recordid>eNqNkE1LAzEQhoMoWKv_YT3obdck-5UcpfgFBS8VvIVsMtHU3U3NbBX_vSkV9OhpGHjmfZmHkHNGC0ZZc7UuTOhthBcfRiw4pW1Bm4JSfkBmTLQ8b6uKHZJZYuucl_z5mJwgrmnaZV3OSLX6DLkJwyaMME4Zgs69gWx69eZtBMQsgvU4Rd9tp1SRDcFCf0qOnO4Rzn7mnDzd3qwW9_ny8e5hcb3MTSn4lFvgvJLSWQO8KeuSGdu5rpW1k1pr5oTmjdQCBHSCtU64hlonq7JqLVQVdeWcXO5zNzG8bwEnNXg00Pd6hLBFxZMCzqVIoNyDJgbECE5toh90_FKMqp0ntVZ_PKmdJ0UblTyl24ufEo1G9y7q0Xj8DZBS1JzWiVvsOUgff3iICo2H0SQ_EcykbPD_aPsG8sWFYA</recordid><startdate>2008</startdate><enddate>2008</enddate><creator>Savage, Stuart B.</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TG</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H96</scope><scope>KL.</scope><scope>L.G</scope></search><sort><creationdate>2008</creationdate><title>Two-component sea-ice thickness redistribution model</title><author>Savage, Stuart B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c382t-de22499fdce263531cdbfb795f9aaa1f8a269a8e8eb817f8f60df94347de440f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Deformed ice</topic><topic>Earth, ocean, space</topic><topic>Exact sciences and technology</topic><topic>External geophysics</topic><topic>Ice thickness distribution</topic><topic>Level ice</topic><topic>Physics of the oceans</topic><topic>Ridging</topic><topic>Sea ice</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Savage, Stuart B.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><jtitle>Cold regions science and technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Savage, Stuart B.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Two-component sea-ice thickness redistribution model</atitle><jtitle>Cold regions science and technology</jtitle><date>2008</date><risdate>2008</risdate><volume>51</volume><issue>1</issue><spage>20</spage><epage>37</epage><pages>20-37</pages><issn>0165-232X</issn><eissn>1872-7441</eissn><coden>CRSTDL</coden><abstract>Sea-ice dynamics models play an important role in operational arctic ice forecasting. An essential component of these models is the redistribution of the ice thickness as the ice field undergoes ridging and lead formation resulting from the loads imposed by the wind and water currents. The present paper describes an ice thickness redistribution model that treats such processes. It can be regarded as a development of the Gray and Morland [Gray, J.M.N.T., Morland, L.W., 1994. A two-dimensional model for the dynamics of sea-ice.
Philos. Trans. R. Soc. Lond., A 347, 219–290] mixture theory approach that considers two ice components; undeformed level ice, and deformed ridged ice. Equations for the temporal changes in ice thickness and area fraction for both classes of undeformed and ridged ice are formulated for general deformation fields. Sample calculations are performed for various initial conditions of ice thicknesses and area fractions, and for idealized strain rates including pure divergence, pure convergence and simple shear. The subsequent evolutions of ice thickness and area fraction are presented and discussed. Under continued forcing, the model shows that the ridged ice evolves towards a maximum thickness, a behaviour that has been noticed in both field observations and computer simulations of the pressure ridging process. These asymptotic ridged ice thicknesses are used to determine the ridging parameter
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subjects | Deformed ice Earth, ocean, space Exact sciences and technology External geophysics Ice thickness distribution Level ice Physics of the oceans Ridging Sea ice |
title | Two-component sea-ice thickness redistribution model |
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