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).

Bibliographic Details
Main Authors: Heimbach, Patrick, Menemenlis, Dimitris
Format: Presentation
Language:en_US
Published: 2006
Subjects:
Online Access:http://hdl.handle.net/1721.1/30598
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author Heimbach, Patrick
Menemenlis, Dimitris
author_facet Heimbach, Patrick
Menemenlis, Dimitris
author_sort Heimbach, Patrick
collection MIT
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).
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spelling mit-1721.1/305982019-04-09T16:36:51Z 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 MITgcm ECCO ocean state estimation automatic differentiation data assimilation general circulation model adjoint model optimization sea-ice 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 2006-01-05T15:47:06Z 2006-01-05T15:47:06Z 2006-01-05T15:47:06Z Presentation http://hdl.handle.net/1721.1/30598 en_US 551620 bytes application/pdf application/pdf
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
title 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_short 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
topic MITgcm
ECCO
ocean state estimation
automatic differentiation
data assimilation
general circulation model
adjoint model
optimization
sea-ice
url http://hdl.handle.net/1721.1/30598
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AT menemenlisdimitris adjointmodelcodegenerationviaautomaticdifferentiationanditsapplicationtooceanseaicestateestimation
AT heimbachpatrick shortcourseonoceanseaicedataassimilationwhoimay10th11th2003
AT menemenlisdimitris shortcourseonoceanseaicedataassimilationwhoimay10th11th2003