Multivariate state and parameter estimation with data assimilation on sea-ice models using a Maxwell-Elasto-Brittle rheology
Code for the paper:Multivariate state and parameter estimation with data assimilation on sea-ice models using a Maxwell-Elasto-Brittle rheology Current code includes the data assimilation scheme: iterative ensemble Kalman filterand general experiment setup including the ensemble prior of air drag co...
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Format: | Article in Journal/Newspaper |
Language: | unknown |
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Zenodo
2023
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Online Access: | https://doi.org/10.5281/zenodo.8224997 |
Summary: | Code for the paper:Multivariate state and parameter estimation with data assimilation on sea-ice models using a Maxwell-Elasto-Brittle rheology Current code includes the data assimilation scheme: iterative ensemble Kalman filterand general experiment setup including the ensemble prior of air drag coefficient and damage parameter, the synthetic observation generation. However, the code in general heavily relies on the dynamics-only MEB sea ice model, which can be only available upon request. |
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