Estimation of the state and parameters in ice sheet model using an ensemble Kalman filter and Observing System Simulation Experiments

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Detalles Bibliográficos
Publicado en:	The Cryosphere vol. 19, no. 11 (2025), p. 5423-5445
Autor Principal:	Choi, Youngmin
Outros autores:	Petty, Alek, Felikson, Denis, Poterjoy, Jonathan
Publicado:	Copernicus GmbH
Materias:	Parameters Glaciers Models Estimates Parameter sensitivity Topography Variational methods Data assimilation Sea level rise Sea level changes Time series Uncertainty Sheet modelling Kalman filters Friction Glaciation Simulation Ice Parameter estimation Numerical models Ice sheets Experiments Mathematical models Land ice Data collection Variables Ice sheet models Environmental
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