Publications

Julia Borisova, Mikhail Borisov, Stanislava Vostrikova, Viktor Golikov, Andrey Kuznetsov, Gleb Solovev, Alexander A. Stepanets, Mikhail Krinitskiy, Nikolay O. Nikitin (2026). Exploring the limitations of transformer models for metocean forecasting. Journal of Computational Science, 99:102917.

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Vadim Rezvov, Mikhail Krinitskiy, Alexander Gavrikov, Vasilisa Koshkina, Ekaterina Demidova (2026). On the phenomena-oriented validation of spatial neural-network based surface wind downscaling over the Arctic seas. Frontiers in Marine Science, 13:1765713.

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Viktor Golikov, Mikhail Krinitskiy, Alexander Gavrikov, Evgeny Burnaev, Vladimir Vanovskiy (2026). Neural network atmospheric bias correction on heterogeneous data with fine-scale dynamics preservation. Quarterly Journal of the Royal Meteorological Society, e70209.

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Stanislava Vostrikova, Mikhail Krinitskiy, Sergey Gulev, Marina Alexandrova (2025). ВOCCТАНОВЛЕНИЕ ПРИПОВЕРХНОСТНОЙ ВЛАЖНОСТИ АТМОСФЕРЫ НАД ОКЕАНОМ ПО ДАННЫМ СОПУТСТВУЮЩИХ МЕТЕОРОЛОГИЧЕСКИХ ИЗМЕРЕНИЙ С ПРИМЕНЕНИЕМ МЕТОДОВ МАШИННОГО ОБУЧЕНИЯ. Океанологические исследования, Т. 53, No 2.

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Stanislava Vostrikova, Mikhail Krinitskiy, Сергей Гулев, Марина Александрова (2025). Assessment of Atmospheric Dynamics Based on Neural-Network Downscaling of Near-Surface Wind Speed Fields over the Barents and Kara Seas. Океанологические исследования, Т. 53, No 2.

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Vadim Rezvov, Mikhail Krinitskiy, Alexander Gavrikov, Viktor Golikov, Mikhail Borisov, Alexander Suslov, Natalia Tilinina (2024). Improving data-driven estimation of significant wave height through preliminary training on synthetic X-band radar sea clutter imagery. *Frontiers in Marine Science, 11-2024.

Alexander Savin, Mikhail Krinitskiy, Alexander Osadchiev (2024). Improved sea surface salinity data for the Arctic Ocean derived from SMAP satellite data using machine learning approaches. *Frontiers in Marine Science, 11-2024.