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

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). National Ocean Partn...

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Bibliographic Details
Main Authors: Heimbach, Patrick, Menemenlis, Dimitris
Format: Conference Object
Language:English
Published: 2006
Subjects:
MITgcm
ECCO
ocean state estimation
automatic differentiation
data assimilation
general circulation model
adjoint model
optimization
sea-ice
Arctic
Arctic Ocean
Sea ice
Online Access:http://hdl.handle.net/1721.1/30598
id ftmit:oai:dspace.mit.edu:1721.1/30598
record_format openpolar
spelling ftmit:oai:dspace.mit.edu:1721.1/30598 2023-06-11T04:09:11+02:00 Adjoint model code generation via automatic differentiation and its application to ocean/sea-ice state estimation Short course on ocean/sea-ice data assimilation, WHOI, May 10th/11th, 2003 Heimbach, Patrick Menemenlis, Dimitris 2006-01-05T15:47:06Z 551620 bytes application/pdf http://hdl.handle.net/1721.1/30598 en_US eng http://hdl.handle.net/1721.1/30598 MITgcm ECCO ocean state estimation automatic differentiation data assimilation general circulation model adjoint model optimization sea-ice Presentation 2006 ftmit 2023-05-29T07:26:05Z 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). National Ocean Partnership Program (NOPP) with funding provided by NSF, NASA, ONR, NOAA Conference Object Arctic Arctic Ocean Sea ice DSpace@MIT (Massachusetts Institute of Technology) Arctic Arctic Ocean
institution Open Polar
collection DSpace@MIT (Massachusetts Institute of Technology)
op_collection_id ftmit
language English
topic MITgcm
ECCO
ocean state estimation
automatic differentiation
data assimilation
general circulation model
adjoint model
optimization
sea-ice
spellingShingle MITgcm
ECCO
ocean state estimation
automatic differentiation
data assimilation
general circulation model
adjoint model
optimization
sea-ice
Heimbach, Patrick
Menemenlis, Dimitris
Adjoint model code generation via automatic differentiation and its application to ocean/sea-ice state estimation
topic_facet MITgcm
ECCO
ocean state estimation
automatic differentiation
data assimilation
general circulation model
adjoint model
optimization
sea-ice
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). National Ocean Partnership Program (NOPP) with funding provided by NSF, NASA, ONR, NOAA
format Conference Object
author Heimbach, Patrick
Menemenlis, Dimitris
author_facet Heimbach, Patrick
Menemenlis, Dimitris
author_sort Heimbach, Patrick
title Adjoint model code generation via automatic differentiation and its application to ocean/sea-ice state estimation
title_short Adjoint model code generation via automatic differentiation and its application to ocean/sea-ice state estimation
title_full Adjoint model code generation via automatic differentiation and its application to ocean/sea-ice state estimation
title_fullStr Adjoint model code generation via automatic differentiation and its application to ocean/sea-ice state estimation
title_full_unstemmed Adjoint model code generation via automatic differentiation and its application to ocean/sea-ice state estimation
title_sort adjoint model code generation via automatic differentiation and its application to ocean/sea-ice state estimation
publishDate 2006
url http://hdl.handle.net/1721.1/30598
geographic Arctic
Arctic Ocean
geographic_facet Arctic
Arctic Ocean
genre Arctic
Arctic Ocean
Sea ice
genre_facet Arctic
Arctic Ocean
Sea ice
op_relation http://hdl.handle.net/1721.1/30598
_version_ 1768382952057602048

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