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).
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Format: | Presentation |
Language: | en_US |
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2006
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Online Access: | http://hdl.handle.net/1721.1/30598 |
_version_ | 1811069097396404224 |
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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). |
first_indexed | 2024-09-23T08:05:40Z |
format | Presentation |
id | mit-1721.1/30598 |
institution | Massachusetts Institute of Technology |
language | en_US |
last_indexed | 2024-09-23T08:05:40Z |
publishDate | 2006 |
record_format | dspace |
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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