Predicting the spatiotemporal data of natural processes is crucial for both academic
research and industrial applications. In particular, ice formation and melting processes play …

The modeling and forecasting of sea ice conditions in the Arctic region are important tasks
for ship routing, offshore oil production, and environmental monitoring. We propose the …

Predictive modeling of sea ice conditions in the Arctic region is important task for
environmental monitoring, climate change issue and offshore oil production. The existing …

In the literature, vast amounts of methods of time-series modeling are described. Most for the
methods, either classical or machine learning, left interpretation to the expert. Even though …

Severe ice conditions in the Bohai Sea could cause serious harm to maritime traffic, offshore
oil exploitation, aquaculture, and other economic activities in the surrounding regions. In …

This paper discusses the application of hybridization as a modeling approach involving the
combination of physics-based numerical models and data-driven models as a part of the …

Для воспроизведения текущего состояния и краткосрочного прогноза
гидротермодинамики Северного Ледовитого океана (СЛО) и прилегающих к нему …

In modern data science, it is often not enough to obtain only a data-driven model with a good
prediction quality. On the contrary, it is more interesting to understand the properties of the …

The various real-world tasks of environmental management make it necessary to obtain the
hindcasts and forecasts of natural events (wind, ocean waves and currents, sea ice, etc.) …

A regional σ-model INMOM-Arctic has been prepared on the basis of the Russian ocean
general circulation model INMOM (Institute of Numerical Mathematics Ocean Model) to …