Articles | Volume 19, issue 11
https://doi.org/10.5194/tc-19-5613-2025
https://doi.org/10.5194/tc-19-5613-2025
Research article
 | 
12 Nov 2025
Research article |  | 12 Nov 2025

Four-dimensional variational data assimilation with a sea-ice thickness emulator

Charlotte Durand, Tobias Sebastian Finn, Alban Farchi, Marc Bocquet, Julien Brajard, and Laurent Bertino

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Short summary
This paper presents a four-dimensional variational data assimilation system based on a neural network emulator for sea-ice thickness, learned from neXtSIM (neXt generation Sea Ice Model) simulation outputs. Testing with simulated and real observation retrievals, the system improves forecasts and bias error, performing comparably to operational methods, demonstrating the promise of sea-ice data-driven data assimilation systems.
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