Articles | Volume 19, issue 11
https://doi.org/10.5194/tc-19-5423-2025
https://doi.org/10.5194/tc-19-5423-2025
Research article
 | 
06 Nov 2025
Research article |  | 06 Nov 2025

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

Youngmin Choi, Alek Petty, Denis Felikson, and Jonathan Poterjoy

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Short summary
We combined numerical models with satellite observations using the ensemble Kalman filter to improve predictions of glacier states and their basal conditions. Our simulations show that incorporating more data generally improves prediction accuracy. We also tested different types of data and found that the high-resolution observations provide the greatest improvements. This method can help guide the design of future observing systems and improve long-term projections of ice sheet change.
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