Articles | Volume 19, issue 18
https://doi.org/10.5194/gmd-19-8565-2026
https://doi.org/10.5194/gmd-19-8565-2026
Development and technical paper
 | 
16 Sep 2026
Development and technical paper |  | 16 Sep 2026

Evolving beyond collapse: an adaptive particle batch smoother for cryospheric data assimilation

Kristoffer Aalstad, Esteban Alonso-González, Norbert Pirk, Sebastian Westermann, Clarissa Willmes, and Ruitang Yang

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Short summary
AdaPBS (Adaptive Particle Batch Smoother) is a new algorithm to combine observations with cryospheric numerical models. AdaPBS is an iterative algorithm that automatically adjusts computing effort to the task, allowing the implementation of early stopping strategies. We tested AdaPBS at multiple sites with different models, matching or outperforming standard methods, when compared against more complex (computationally expensive) algorithms.
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