Work

Neural network atmospheric bias correction on heterogeneous data with fine‐scale dynamics preservation

Year: 2026

Type: article

Source: Quarterly Journal of the Royal Meteorological Society

DOI: 10.1002/qj.70209

Authors: Viktor Golikov, Mikhail Krinitskiy, Alexander Gavrikov, Evgeny Burnaev, Vladimir Vanovskiy

Institutions: Skolkovo Institute of Science and Technology, Russian Academy of Sciences, Moscow Institute of Physics and Technology, Institute of Oceanology. PP Shirshov Russian Academy of Sciences, AIRI - Artificial Intelligence Research Institute

Language: English

Topic: Meteorological Phenomena and Simulations

Subfield: Atmospheric Science

Field: Earth and Planetary Sciences

Domain: Physical Sciences

SDG: Climate action

Open Access status: closed

OpenAlex ID: W7160095772

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Cites: 40

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