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

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

Global warming has made the Arctic increasingly available for marine operations and created a demand for reliable operational sea ice forecasts to increase safety. Because ocean-ice numerical models are highly computationally intensive, relatively lightweight ML-based methods may be more efficient f...

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Bibliographic Details
Main Authors: Timofey Grigoryev, Polina Verezemskaya, Mikhail Krinitskiy, Nikita Anikin, Alexander Gavrikov, Ilya Trofimov, Nikita Balabin, Aleksei Shpilman, Andrei Eremchenko, Sergey Gulev, Evgeny Burnaev, Vladimir Vanovskiy
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Remote Sensing
Subjects:
data-driven models
short-term sea ice forecasting
deep learning
computer vision
U-Net
remote sensing
Online Access:https://www.mdpi.com/2072-4292/14/22/5837

Internet

https://www.mdpi.com/2072-4292/14/22/5837

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