| RAS-NAAD: 40-yr High-Resolution North Atlantic Atmospheric Hindcast for Multipurpose Applications (New Dataset for the Regional Mesoscale Studies in the Atmosphere and the Ocean) A Gavrikov, SK Gulev, M Markina, N Tilinina, P Verezemskaya, B Barnier, ... Journal of Applied Meteorology and Climatology 59 (5), 793-817, 2020 | 33 | 2020 |
| Detection Uncertainty Matters for Understanding Atmospheric Rivers TA O’Brien, AE Payne, CA Shields, J Rutz, S Brands, C Castellano, ... Bulletin of the American Meteorological Society 101 (6), E790-E796, 2020 | 30 | 2020 |
| Deep Convolutional Neural Networks Capabilities for Binary Classification of Polar Mesocyclones in Satellite Mosaics M Krinitskiy, P Verezemskaya, K Grashchenkov, N Tilinina, S Gulev, ... Atmosphere 9 (11), 426, 2018 | 26 | 2018 |
| On the generalization ability of data-driven models in the problem of total cloud cover retrieval M Krinitskiy, M Aleksandrova, P Verezemskaya, S Gulev, A Sinitsyn, ... Remote Sensing 13 (2), 326, 2021 | 21 | 2021 |
| Adaptive algorithm for cloud cover estimation from all-sky images over the sea MA Krinitskiy, AV Sinitsyn Oceanology 56 (3), 315-319, 2016 | 21 | 2016 |
| Wave steepness from satellite altimetry for wave dynamics and climate studies S Badulin, V Grigorieva, A Gavrikov, V Geogjaev, M Krinitskiy, M Markina Russian Journal of Earth Sciences 18 (5), 2018 | 13 | 2018 |
| Modification of Globwave satellite altimetry database for sea wave field diagnostics AV Gavrikov, MA Krinitsky, VG Grigorieva Oceanology 56 (2), 301-306, 2016 | 12 | 2016 |
| Wind waves in the North Atlantic from ship navigational radar: SeaVision development and its validation with the Spotter wave buoy and WaveWatch III N Tilinina, D Ivonin, A Gavrikov, V Sharmar, S Gulev, A Suslov, V Fadeev, ... Earth System Science Data 14 (8), 3615-3633, 2022 | 10 | 2022 |
| Data-Driven Short-Term Daily Operational Sea Ice Regional Forecasting T Grigoryev, P Verezemskaya, M Krinitskiy, N Anikin, A Gavrikov, ... Remote Sensing 14 (22), 5837, 2022 | 9 | 2022 |
| Application of machine learning methods to the solar disk state detection by all-sky images over the ocean MA Krinitskiy Oceanology 57 (2), 265-269, 2017 | 6 | 2017 |
| Machine learning methods for the detection of polar lows in satellite mosaics: major issues and their solutions M Krinitskiy, P Verezemskaya, S Elizarov, S Gulev IOP Conference Series: Earth and Environmental Science 606 (1), 012025, 2020 | 5 | 2020 |
| A General Neural-Networks-Based Method for Identification of Partial Differential Equations, Implemented on a Novel AI Accelerator MA Krinitskiy, VM Stepanenko, AO Malkhanov, ME Smorkalov Supercomputing Frontiers and Innovations 9 (3), 19-50, 2022 | 4 | 2022 |
| Clustering of the Polar Vortex states using deep convolutional neural networks N Tilinina, M Krinitskiy, Y Zyulyaeva, S Gulev EGU General Assembly Conference Abstracts (EGU General Assembly Conference …, 2019 | 3 | 2019 |
| Towards the Accurate Automatic Detection of Mesoscale Convective Systems in Remote Sensing Data: From Data Mining to Deep Learning Models and Their Applications M Krinitskiy, A Sprygin, S Elizarov, A Narizhnaya, A Shikhov, ... Remote Sensing 15 (14), 3493, 2023 | 2 | 2023 |
| Machine Learning Models for Approximating Downward Short-Wave Radiation Flux over the Ocean from All-Sky Optical Imagery Based on DASIO Dataset M Krinitskiy, V Koshkina, M Borisov, N Anikin, S Gulev, M Artemeva Remote Sensing 15 (7), 1720, 2023 | 2 | 2023 |
| Tracking of atmospheric phenomena with artificial neural networks: a supervised approach M Krinitskiy, K Grashchenkov, N Tilinina, S Gulev Procedia Computer Science 186, 403-410, 2021 | 2 | 2021 |
| Response of the atmospheric rivers and storm tracks to the Sudden Stratospheric Warming events on the basis of North Atlantic Atmospheric Downscaling (1979+) AV Gavrikov, M Krinitsky, N Tilinina, Y Zyulyaeva, A Dufour, SK Gulev IOP Conference Series: Earth and Environmental Science 606 (1), 012011, 2020 | 2 | 2020 |
| Cloud cover estimation optical package: New facility, algorithms and techniques M Krinitskiy AIP Conference Proceedings 1810 (1), 2017 | 2 | 2017 |
| Estimating Significant Wave Height from X-Band Navigation Radar Using Convolutional Neural Networks MA Krinitskiy, VA Golikov, NN Anikin, AI Suslov, AV Gavrikov, ND Tilinina Moscow University Physics Bulletin 78 (Suppl 1), S128-S137, 2023 | 1 | 2023 |
| Machine Learning for Simulation of Urban Heat Island Dynamics Based on Large-Scale Meteorological Conditions M Varentsov, M Krinitskiy, V Stepanenko Climate 11 (10), 200, 2023 | 1 | 2023 |
