4DVAR data assimilation in the Intra-Americas Sea with the Regional Ocean Modeling System (ROMS)
We present the background, development, and preparation of a state-of-the-art 4D variational (4DVAR) data assimilation system in the Regional Ocean Modeling System (ROMS) with an application in the Intra-Americas Sea (IAS). This initial application with a coarse model shows the efficacy of the 4DVAR...
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Veröffentlicht in: | Ocean modelling (Oxford) 2008, Vol.25 (3), p.173-188 |
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container_title | Ocean modelling (Oxford) |
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creator | Powell, B.S. Arango, H.G. Moore, A.M. Di Lorenzo, E. Milliff, R.F. Foley, D. |
description | We present the background, development, and preparation of a state-of-the-art 4D variational (4DVAR) data assimilation system in the Regional Ocean Modeling System (ROMS) with an application in the Intra-Americas Sea (IAS). This initial application with a coarse model shows the efficacy of the 4DVAR methodology for use within complex ocean environments, and serves as preparation for deploying an operational, real-time assimilation system onboard the Royal Caribbean Cruise Lines ship
Explorer of the Seas. Assimilating satellite sea surface height and temperature observations with in situ data from the ship in 14 day cycles over 2 years from January 2005 through March 2007, reduces the observation-model misfit by over 75%. Using measures of the Loop Current dynamics, we show that the assimilated solution is consistent with observed statistics. |
doi_str_mv | 10.1016/j.ocemod.2008.08.002 |
format | Article |
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Explorer of the Seas. Assimilating satellite sea surface height and temperature observations with in situ data from the ship in 14 day cycles over 2 years from January 2005 through March 2007, reduces the observation-model misfit by over 75%. Using measures of the Loop Current dynamics, we show that the assimilated solution is consistent with observed statistics.</description><identifier>ISSN: 1463-5003</identifier><identifier>EISSN: 1463-5011</identifier><identifier>DOI: 10.1016/j.ocemod.2008.08.002</identifier><language>eng</language><publisher>Elsevier Ltd</publisher><subject>4DVAR ; Data assimilation ; Gulf of Mexico ; Intra-Americas Sea ; Marine ; Predictability ; ROMS</subject><ispartof>Ocean modelling (Oxford), 2008, Vol.25 (3), p.173-188</ispartof><rights>2008 Elsevier Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c337t-1e833d76987e17aadc624bce9a81e9f9e1472dae23a4e8f3a411404b99fcae203</citedby><cites>FETCH-LOGICAL-c337t-1e833d76987e17aadc624bce9a81e9f9e1472dae23a4e8f3a411404b99fcae203</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.ocemod.2008.08.002$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,4024,27923,27924,27925,45995</link.rule.ids></links><search><creatorcontrib>Powell, B.S.</creatorcontrib><creatorcontrib>Arango, H.G.</creatorcontrib><creatorcontrib>Moore, A.M.</creatorcontrib><creatorcontrib>Di Lorenzo, E.</creatorcontrib><creatorcontrib>Milliff, R.F.</creatorcontrib><creatorcontrib>Foley, D.</creatorcontrib><title>4DVAR data assimilation in the Intra-Americas Sea with the Regional Ocean Modeling System (ROMS)</title><title>Ocean modelling (Oxford)</title><description>We present the background, development, and preparation of a state-of-the-art 4D variational (4DVAR) data assimilation system in the Regional Ocean Modeling System (ROMS) with an application in the Intra-Americas Sea (IAS). This initial application with a coarse model shows the efficacy of the 4DVAR methodology for use within complex ocean environments, and serves as preparation for deploying an operational, real-time assimilation system onboard the Royal Caribbean Cruise Lines ship
Explorer of the Seas. Assimilating satellite sea surface height and temperature observations with in situ data from the ship in 14 day cycles over 2 years from January 2005 through March 2007, reduces the observation-model misfit by over 75%. Using measures of the Loop Current dynamics, we show that the assimilated solution is consistent with observed statistics.</description><subject>4DVAR</subject><subject>Data assimilation</subject><subject>Gulf of Mexico</subject><subject>Intra-Americas Sea</subject><subject>Marine</subject><subject>Predictability</subject><subject>ROMS</subject><issn>1463-5003</issn><issn>1463-5011</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><recordid>eNp9UE1Lw0AQDaJgrf4DD3sSPSTuZJMmuQilfhVaCq16XaebSbslH3V3q_Tfm1jxKDxmhpn3HszzvEvgAXAY3G6CRlHV5EHIeRp04OGR14NoIPyYAxz_zVycemfWbjiHBETc896j-7fhnOXokKG1utIlOt3UTNfMrYmNa2fQH1ZktELLFoTsS7v1z21Oq5aJJZspwppNm5xKXa_YYm8dVex6Ppsubs69kwJLSxe_ve-9Pj68jJ79yexpPBpOfCVE4nygVIg8GWRpQpAg5moQRktFGaZAWZERREmYI4UCI0qLtgJEPFpmWaHaLRd97-rguzXNx46sk5W2isoSa2p2VkImgKdx3BKjA1GZxlpDhdwaXaHZS-Cyi1Nu5CFO2cUpO_Cwld0dZNQ-8anJSKs01YpybUg5mTf6f4NvO6d_FA</recordid><startdate>2008</startdate><enddate>2008</enddate><creator>Powell, B.S.</creator><creator>Arango, H.G.</creator><creator>Moore, A.M.</creator><creator>Di Lorenzo, E.</creator><creator>Milliff, R.F.</creator><creator>Foley, D.</creator><general>Elsevier Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TG</scope><scope>F1W</scope><scope>H96</scope><scope>KL.</scope><scope>L.G</scope></search><sort><creationdate>2008</creationdate><title>4DVAR data assimilation in the Intra-Americas Sea with the Regional Ocean Modeling System (ROMS)</title><author>Powell, B.S. ; Arango, H.G. ; Moore, A.M. ; Di Lorenzo, E. ; Milliff, R.F. ; Foley, D.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c337t-1e833d76987e17aadc624bce9a81e9f9e1472dae23a4e8f3a411404b99fcae203</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>4DVAR</topic><topic>Data assimilation</topic><topic>Gulf of Mexico</topic><topic>Intra-Americas Sea</topic><topic>Marine</topic><topic>Predictability</topic><topic>ROMS</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Powell, B.S.</creatorcontrib><creatorcontrib>Arango, H.G.</creatorcontrib><creatorcontrib>Moore, A.M.</creatorcontrib><creatorcontrib>Di Lorenzo, E.</creatorcontrib><creatorcontrib>Milliff, R.F.</creatorcontrib><creatorcontrib>Foley, D.</creatorcontrib><collection>CrossRef</collection><collection>Meteorological & Geoastrophysical Abstracts</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>Ocean modelling (Oxford)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Powell, B.S.</au><au>Arango, H.G.</au><au>Moore, A.M.</au><au>Di Lorenzo, E.</au><au>Milliff, R.F.</au><au>Foley, D.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>4DVAR data assimilation in the Intra-Americas Sea with the Regional Ocean Modeling System (ROMS)</atitle><jtitle>Ocean modelling (Oxford)</jtitle><date>2008</date><risdate>2008</risdate><volume>25</volume><issue>3</issue><spage>173</spage><epage>188</epage><pages>173-188</pages><issn>1463-5003</issn><eissn>1463-5011</eissn><abstract>We present the background, development, and preparation of a state-of-the-art 4D variational (4DVAR) data assimilation system in the Regional Ocean Modeling System (ROMS) with an application in the Intra-Americas Sea (IAS). This initial application with a coarse model shows the efficacy of the 4DVAR methodology for use within complex ocean environments, and serves as preparation for deploying an operational, real-time assimilation system onboard the Royal Caribbean Cruise Lines ship
Explorer of the Seas. Assimilating satellite sea surface height and temperature observations with in situ data from the ship in 14 day cycles over 2 years from January 2005 through March 2007, reduces the observation-model misfit by over 75%. Using measures of the Loop Current dynamics, we show that the assimilated solution is consistent with observed statistics.</abstract><pub>Elsevier Ltd</pub><doi>10.1016/j.ocemod.2008.08.002</doi><tpages>16</tpages></addata></record> |
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subjects | 4DVAR Data assimilation Gulf of Mexico Intra-Americas Sea Marine Predictability ROMS |
title | 4DVAR data assimilation in the Intra-Americas Sea with the Regional Ocean Modeling System (ROMS) |
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