Data-Driven Short-Term Daily Operational Sea Ice Regional Forecasting

no code implementations • 17 Oct 2022 • Timofey Grigoryev, Polina Verezemskaya, Mikhail Krinitskiy, Nikita Anikin, Alexander Gavrikov, Ilya Trofimov, Nikita Balabin, Aleksei Shpilman, Andrei Eremchenko, Sergey Gulev, Evgeny Burnaev, Vladimir Vanovskiy

Global warming made the Arctic available for marine operations and created demand for reliable operational sea ice forecasts to make them safe.

Machine learning methods for the detection of polar lows in satellite mosaics: major issues and their solutions

no code implementations • 9 Nov 2020 • Mikhail Krinitskiy, Polina Verezemskaya, Svyatoslav Elizarov, Sergey Gulev

There are known procedures involving deep convolutional neural networks (DCNNs) for the detection of large-scale atmospheric phenomena in reanalysis data that demonstrate a high quality of detection.

Visual Tracking