A dynamic-thermodynamic sea ice model on an Arakawa C grid for coupled ocean and sea ice state estimation
As part of an ongoing effort to obtain a best possible, time-evolvinganalysis of most available ocean and sea ice data, a dynamic andthermodynamic sea-ice model has been coupled to the MassachusettsInstitute of Technology general circulation model (MITgcm). Icemechanics follow a viscous-plastic rheo...
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ftawi:oai:epic.awi.de:20389 2024-09-15T17:46:01+00:00 A dynamic-thermodynamic sea ice model on an Arakawa C grid for coupled ocean and sea ice state estimation Losch, Martin Menemenlis, D. Heimbach, P. Campin, J. M. Hill, C. 2009 application/pdf https://epic.awi.de/id/eprint/20389/ https://epic.awi.de/id/eprint/20389/1/Los2009a.pdf https://hdl.handle.net/10013/epic.32542 https://hdl.handle.net/10013/epic.32542.d001 unknown https://epic.awi.de/id/eprint/20389/1/Los2009a.pdf https://hdl.handle.net/10013/epic.32542.d001 Losch, M. orcid:0000-0002-3824-5244 , Menemenlis, D. , Heimbach, P. , Campin, J. M. and Hill, C. (2009) A dynamic-thermodynamic sea ice model on an Arakawa C grid for coupled ocean and sea ice state estimation , EGU General Assembly, Vienna, April . hdl:10013/epic.32542 EPIC3EGU General Assembly, Vienna, April, pp. 19-24 Conference notRev 2009 ftawi 2024-06-24T04:01:09Z As part of an ongoing effort to obtain a best possible, time-evolvinganalysis of most available ocean and sea ice data, a dynamic andthermodynamic sea-ice model has been coupled to the MassachusettsInstitute of Technology general circulation model (MITgcm). Icemechanics follow a viscous-plastic rheology and the ice momentumequations are solved numerically using eitherline-successive-over-relaxation (LSOR) or elastic-viscous-plastic(EVP) dynamic models. Ice thermodynamics are represented using eithera zero-heat-capacity formulation or a two-layer formulation thatconserves enthalpy. The model includes prognostic variables for snowand for sea-ice salinity. The above sea ice model components wereborrowed from current-generation climate models but they werereformulated on an Arakawa C grid in order to match the MITgcm oceanicgrid and they were modified in many ways to permit efficient andaccurate automatic differentiation. This paper describes the MITgcmsea ice model; it presents example Arctic and Antarctic results from arealistic, eddy-permitting, global ocean and sea-ice configuration; itcompares B-grid and C-grid dynamic solvers and the effects of othernumerical details of the parameterized dynamics and thermodynamics ina regional Arctic configuration; and it presents example results fromcoupled ocean and sea-ice adjoint-model integrations. Conference Object Antarc* Antarctic Sea ice Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) |
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Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) |
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ftawi |
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unknown |
description |
As part of an ongoing effort to obtain a best possible, time-evolvinganalysis of most available ocean and sea ice data, a dynamic andthermodynamic sea-ice model has been coupled to the MassachusettsInstitute of Technology general circulation model (MITgcm). Icemechanics follow a viscous-plastic rheology and the ice momentumequations are solved numerically using eitherline-successive-over-relaxation (LSOR) or elastic-viscous-plastic(EVP) dynamic models. Ice thermodynamics are represented using eithera zero-heat-capacity formulation or a two-layer formulation thatconserves enthalpy. The model includes prognostic variables for snowand for sea-ice salinity. The above sea ice model components wereborrowed from current-generation climate models but they werereformulated on an Arakawa C grid in order to match the MITgcm oceanicgrid and they were modified in many ways to permit efficient andaccurate automatic differentiation. This paper describes the MITgcmsea ice model; it presents example Arctic and Antarctic results from arealistic, eddy-permitting, global ocean and sea-ice configuration; itcompares B-grid and C-grid dynamic solvers and the effects of othernumerical details of the parameterized dynamics and thermodynamics ina regional Arctic configuration; and it presents example results fromcoupled ocean and sea-ice adjoint-model integrations. |
format |
Conference Object |
author |
Losch, Martin Menemenlis, D. Heimbach, P. Campin, J. M. Hill, C. |
spellingShingle |
Losch, Martin Menemenlis, D. Heimbach, P. Campin, J. M. Hill, C. A dynamic-thermodynamic sea ice model on an Arakawa C grid for coupled ocean and sea ice state estimation |
author_facet |
Losch, Martin Menemenlis, D. Heimbach, P. Campin, J. M. Hill, C. |
author_sort |
Losch, Martin |
title |
A dynamic-thermodynamic sea ice model on an Arakawa C grid for coupled ocean and sea ice state estimation |
title_short |
A dynamic-thermodynamic sea ice model on an Arakawa C grid for coupled ocean and sea ice state estimation |
title_full |
A dynamic-thermodynamic sea ice model on an Arakawa C grid for coupled ocean and sea ice state estimation |
title_fullStr |
A dynamic-thermodynamic sea ice model on an Arakawa C grid for coupled ocean and sea ice state estimation |
title_full_unstemmed |
A dynamic-thermodynamic sea ice model on an Arakawa C grid for coupled ocean and sea ice state estimation |
title_sort |
dynamic-thermodynamic sea ice model on an arakawa c grid for coupled ocean and sea ice state estimation |
publishDate |
2009 |
url |
https://epic.awi.de/id/eprint/20389/ https://epic.awi.de/id/eprint/20389/1/Los2009a.pdf https://hdl.handle.net/10013/epic.32542 https://hdl.handle.net/10013/epic.32542.d001 |
genre |
Antarc* Antarctic Sea ice |
genre_facet |
Antarc* Antarctic Sea ice |
op_source |
EPIC3EGU General Assembly, Vienna, April, pp. 19-24 |
op_relation |
https://epic.awi.de/id/eprint/20389/1/Los2009a.pdf https://hdl.handle.net/10013/epic.32542.d001 Losch, M. orcid:0000-0002-3824-5244 , Menemenlis, D. , Heimbach, P. , Campin, J. M. and Hill, C. (2009) A dynamic-thermodynamic sea ice model on an Arakawa C grid for coupled ocean and sea ice state estimation , EGU General Assembly, Vienna, April . hdl:10013/epic.32542 |
_version_ |
1810493978959675392 |