Data-driven uncertainty-aware forecasting of sea ice conditions in the gulf of Ob based on satellite radar imagery

Stefan Maria Ailuro, Anna Nedorubova, Timofey Grigoryev, Evgeny Burnaev, Vladimir Vanovskiy, Alexander Ryabov

Submission Type: I want my submission to be considered for both oral and poster presentation.

Keywords: arctic sea ice forecasting, satellite radar imagery, ensemble forecasting, uncertainty quantification

TL;DR: Uncertainty awareness allows the deep learning models to produce more reliable forecasts of sea ice based on satellite radar images

Confirmation Of Submission Requirements: I submit a previously published paper. It was published in an archival peer–reviewed venue on or after September 1st 2025, I specify the DOI in the field below, and I submit the camera-ready version of the paper.

DOI: https://doi.org/10.1038/s41598-025-16572-7

Submission Number: 378