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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Bibliographic Details
Main Author: Yumeng Chen
Format: Article in Journal/Newspaper
Language:unknown
Published: Zenodo 2023
Subjects:
Online Access:https://doi.org/10.5281/zenodo.8224997
Description
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.