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Adjoint model code generation via automatic differentiation and its application to ocean/sea-ice state estimation

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dc.contributor.author Heimbach, Patrick
dc.contributor.author Menemenlis, Dimitris
dc.date.accessioned 2006-01-05T15:47:06Z
dc.date.available 2006-01-05T15:47:06Z
dc.date.issued 2006-01-05T15:47:06Z
dc.identifier.uri http://hdl.handle.net/1721.1/30598
dc.description Material presented during a 2-day short course on data assimilation for sea-ice modelers at WHOI. The course was preceded by an Arctic Ocean Model Intercomparison Project (AOMIP) meeting, and followed by the AMS 7th Conference on Polar Meteorology and Oceanography (all at WHOI). en
dc.description.sponsorship National Ocean Partnership Program (NOPP) with funding provided by NSF, NASA, ONR, NOAA en
dc.format.extent 551620 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US en
dc.subject MITgcm en
dc.subject ECCO en
dc.subject ocean state estimation en
dc.subject automatic differentiation en
dc.subject data assimilation en
dc.subject general circulation model en
dc.subject adjoint model en
dc.subject optimization en
dc.subject sea-ice en
dc.title Adjoint model code generation via automatic differentiation and its application to ocean/sea-ice state estimation en
dc.title.alternative Short course on ocean/sea-ice data assimilation, WHOI, May 10th/11th, 2003 en
dc.type Presentation en


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