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...
Main Authors: | , , , , |
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Format: | Conference Object |
Language: | unknown |
Published: |
2009
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Subjects: | |
Online Access: | 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 |
Summary: | 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. |
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