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Krinitskiy, Mikhail
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1

Improved sea surface salinity data for the Arctic Ocean der..:

Savin, Alexander ; Krinitskiy, Mikhail ; Osadchiev, Alexander
Frontiers in Marine Science.  11 (2024)  - p. , 2024
Link: https://doi.org/10.3389/..
 
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2

Machine Learning Models for Approximating Downward Short-Wa..:

Krinitskiy, Mikhail ; Koshkina, Vasilisa ; Borisov, Mikhail...
Remote Sensing.  15 (2023)  7 - p. 1720 , 2023
Link: https://doi.org/10.3390/..
 
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3

Machine Learning for Simulation of Urban Heat Island Dynami..:

Varentsov, Mikhail ; Krinitskiy, Mikhail ; Stepanenko, Victor
Climate.  11 (2023)  10 - p. 200 , 2023
Link: https://doi.org/10.3390/..
 
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4

Towards the Accurate Automatic Detection of Mesoscale Conve..:

Krinitskiy, Mikhail ; Sprygin, Alexander ; Elizarov, Svyatoslav...
Remote Sensing.  15 (2023)  14 - p. 3493 , 2023
Link: https://doi.org/10.3390/..
 
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5

Data-Driven Short-Term Daily Operational Sea Ice Regional F..:

Grigoryev, Timofey ; Verezemskaya, Polina ; Krinitskiy, Mikhail...
Remote Sensing.  14 (2022)  22 - p. 5837 , 2022
Link: https://doi.org/10.3390/..
 
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6

On the Generalization Ability of Data-Driven Models in the ..:

Krinitskiy, Mikhail ; Aleksandrova, Marina ; Verezemskaya, Polina...
Remote Sensing.  13 (2021)  2 - p. 326 , 2021
Link: https://doi.org/10.3390/..
 
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7

Tracking of atmospheric phenomena with artificial neural ne..:

Krinitskiy, Mikhail ; Grashchenkov, Kirill ; Tilinina, Natalia.
Procedia Computer Science.  186 (2021)  - p. 403-410 , 2021
Link: https://doi.org/10.1016/..
 
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8

Detection Uncertainty Matters for Understanding Atmospheric..:

O'Brien, Travis A. ; Payne, Ashley E. ; Shields, Christine A....
Bulletin of the American Meteorological Society.  101 (2020)  6 - p. E790-E796 , 2020
Link: https://www.jstor.org/st..
 
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9

RAS-NAAD: 40-yr High-Resolution North Atlantic Atmospheric ..:

Gavrikov, Alexander ; Gulev, Sergey K. ; Markina, Margarita...
Journal of Applied Meteorology and Climatology.  59 (2020)  5 - p. 793-817 , 2020
Link: https://www.jstor.org/st..
 
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10

Deep Convolutional Neural Networks Capabilities for Binary ..:

Krinitskiy, Mikhail ; Verezemskaya, Polina ; Grashchenkov, Kirill...
Atmosphere.  9 (2018)  11 - p. 426 , 2018
Link: https://doi.org/10.3390/..
 
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11

Data-Driven Short-Term Daily Operational Sea Ice Regional F..:

Grigoryev, Timofey ; Verezemskaya, Polina ; Krinitskiy, Mikhail...
http://arxiv.org/abs/2210.08877.  , 2022
Link: http://arxiv.org/abs/221..
 
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12

Regional Revised River Runoff Reanalysis (R5): historical a..:

Ayzel, Georgy ; Kurochkina, Liubov ; Kazakov, Eduard..
doi:10.5281/zenodo.4485390.  , 2021
Link: https://zenodo.org/recor..
 
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13

RAS-NAAD: 40-yr High-Resolution North Atlantic Atmospheric ..:

Gavrikov, Alexander ; Gulev, Sergey ; Markina, Margarita...
info:eu-repo/semantics/altIdentifier/doi/10.1175/JAMC-D-19-0190.1.  , 2020
Link: https://hal.science/hal-..
 
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14

RAS-NAAD: 40-yr High-Resolution North Atlantic Atmospheric ..:

Gavrikov, Alexander ; Gulev, Sergey ; Markina, Margarita...
info:eu-repo/semantics/altIdentifier/doi/10.1175/JAMC-D-19-0190.1.  , 2020
Link: https://hal.archives-ouv..
 
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15

RAS-NAAD: 40-yr High-Resolution North Atlantic Atmospheric ..:

Gavrikov, Alexander ; Gulev, Sergey ; Markina, Margarita...
hal-03003430.  , 2020
Link: https://hal.science/hal-..
 
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