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

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