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Evaluating the Discrete Element Method as a Tool for Predicting the Seasonal Evolution of the MIZ
The goal of this work is to evaluate the utility of the discrete element method (DEM) in (a) advancing the understanding of the dynamic and thermodynamic processes governing the seasonal evolution of the marginal ice zone (MIZ) and (b) forecasting conditions in the MIZ in support of an anticipated i...
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creator | Song,Arnold J |
description | The goal of this work is to evaluate the utility of the discrete element method (DEM) in (a) advancing the understanding of the dynamic and thermodynamic processes governing the seasonal evolution of the marginal ice zone (MIZ) and (b) forecasting conditions in the MIZ in support of an anticipated increase in operational requirements. |
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fullrecord | <record><control><sourceid>dtic_1RU</sourceid><recordid>TN_cdi_dtic_stinet_AD1013730</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>AD1013730</sourcerecordid><originalsourceid>FETCH-dtic_stinet_AD10137303</originalsourceid><addsrcrecordid>eNqFjLEKwjAQQLs4iPoHDvcDQksGZ7ERHQqCnVzKkVxs4MxBcu33KyKuTm94vLes0M7IE2pMD9CRoI3FZVICy_SkpNCRjuIBCyD0IgxBMlwz-eh-0Y2wSEIGOwtPGiWBhI_pLvd1tQjIhTZfrqrtyfbH885rdEN5T0iHQ9vUjdmb2vzRL_57OTQ</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>report</recordtype></control><display><type>report</type><title>Evaluating the Discrete Element Method as a Tool for Predicting the Seasonal Evolution of the MIZ</title><source>DTIC Technical Reports</source><creator>Song,Arnold J</creator><creatorcontrib>Song,Arnold J ; Cold Regions Research and Engineering Laboratory Hanover United States</creatorcontrib><description>The goal of this work is to evaluate the utility of the discrete element method (DEM) in (a) advancing the understanding of the dynamic and thermodynamic processes governing the seasonal evolution of the marginal ice zone (MIZ) and (b) forecasting conditions in the MIZ in support of an anticipated increase in operational requirements.</description><language>eng</language><subject>dem(discrete element method) ; ice geometry ; ice thickness ; image processing ; MARGINAL ICE ZONES ; masie(Multisensor Analyzed Sea Ice Extent) ; MULTISENSORS ; numerical METHODS AND PROCEDURES ; OCEAN CIRCULATION ; ocean models ; open water ; predictions ; SATELLITE IMAGERY ; SEASONAL VARIATIONS ; spatial distribution ; THERMODYNAMICS ; weather forecasting ; wrf(Weather Research and Forecasting Model)</subject><creationdate>2015</creationdate><rights>Approved For Public Release</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,780,885,27567,27568</link.rule.ids><linktorsrc>$$Uhttps://apps.dtic.mil/sti/citations/AD1013730$$EView_record_in_DTIC$$FView_record_in_$$GDTIC$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Song,Arnold J</creatorcontrib><creatorcontrib>Cold Regions Research and Engineering Laboratory Hanover United States</creatorcontrib><title>Evaluating the Discrete Element Method as a Tool for Predicting the Seasonal Evolution of the MIZ</title><description>The goal of this work is to evaluate the utility of the discrete element method (DEM) in (a) advancing the understanding of the dynamic and thermodynamic processes governing the seasonal evolution of the marginal ice zone (MIZ) and (b) forecasting conditions in the MIZ in support of an anticipated increase in operational requirements.</description><subject>dem(discrete element method)</subject><subject>ice geometry</subject><subject>ice thickness</subject><subject>image processing</subject><subject>MARGINAL ICE ZONES</subject><subject>masie(Multisensor Analyzed Sea Ice Extent)</subject><subject>MULTISENSORS</subject><subject>numerical METHODS AND PROCEDURES</subject><subject>OCEAN CIRCULATION</subject><subject>ocean models</subject><subject>open water</subject><subject>predictions</subject><subject>SATELLITE IMAGERY</subject><subject>SEASONAL VARIATIONS</subject><subject>spatial distribution</subject><subject>THERMODYNAMICS</subject><subject>weather forecasting</subject><subject>wrf(Weather Research and Forecasting Model)</subject><fulltext>true</fulltext><rsrctype>report</rsrctype><creationdate>2015</creationdate><recordtype>report</recordtype><sourceid>1RU</sourceid><recordid>eNqFjLEKwjAQQLs4iPoHDvcDQksGZ7ERHQqCnVzKkVxs4MxBcu33KyKuTm94vLes0M7IE2pMD9CRoI3FZVICy_SkpNCRjuIBCyD0IgxBMlwz-eh-0Y2wSEIGOwtPGiWBhI_pLvd1tQjIhTZfrqrtyfbH885rdEN5T0iHQ9vUjdmb2vzRL_57OTQ</recordid><startdate>20150930</startdate><enddate>20150930</enddate><creator>Song,Arnold J</creator><scope>1RU</scope><scope>BHM</scope></search><sort><creationdate>20150930</creationdate><title>Evaluating the Discrete Element Method as a Tool for Predicting the Seasonal Evolution of the MIZ</title><author>Song,Arnold J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-dtic_stinet_AD10137303</frbrgroupid><rsrctype>reports</rsrctype><prefilter>reports</prefilter><language>eng</language><creationdate>2015</creationdate><topic>dem(discrete element method)</topic><topic>ice geometry</topic><topic>ice thickness</topic><topic>image processing</topic><topic>MARGINAL ICE ZONES</topic><topic>masie(Multisensor Analyzed Sea Ice Extent)</topic><topic>MULTISENSORS</topic><topic>numerical METHODS AND PROCEDURES</topic><topic>OCEAN CIRCULATION</topic><topic>ocean models</topic><topic>open water</topic><topic>predictions</topic><topic>SATELLITE IMAGERY</topic><topic>SEASONAL VARIATIONS</topic><topic>spatial distribution</topic><topic>THERMODYNAMICS</topic><topic>weather forecasting</topic><topic>wrf(Weather Research and Forecasting Model)</topic><toplevel>online_resources</toplevel><creatorcontrib>Song,Arnold J</creatorcontrib><creatorcontrib>Cold Regions Research and Engineering Laboratory Hanover United States</creatorcontrib><collection>DTIC Technical Reports</collection><collection>DTIC STINET</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Song,Arnold J</au><aucorp>Cold Regions Research and Engineering Laboratory Hanover United States</aucorp><format>book</format><genre>unknown</genre><ristype>RPRT</ristype><btitle>Evaluating the Discrete Element Method as a Tool for Predicting the Seasonal Evolution of the MIZ</btitle><date>2015-09-30</date><risdate>2015</risdate><abstract>The goal of this work is to evaluate the utility of the discrete element method (DEM) in (a) advancing the understanding of the dynamic and thermodynamic processes governing the seasonal evolution of the marginal ice zone (MIZ) and (b) forecasting conditions in the MIZ in support of an anticipated increase in operational requirements.</abstract><oa>free_for_read</oa></addata></record> |
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subjects | dem(discrete element method) ice geometry ice thickness image processing MARGINAL ICE ZONES masie(Multisensor Analyzed Sea Ice Extent) MULTISENSORS numerical METHODS AND PROCEDURES OCEAN CIRCULATION ocean models open water predictions SATELLITE IMAGERY SEASONAL VARIATIONS spatial distribution THERMODYNAMICS weather forecasting wrf(Weather Research and Forecasting Model) |
title | Evaluating the Discrete Element Method as a Tool for Predicting the Seasonal Evolution of the MIZ |
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