Natalia Tilinina

Research scientist

Publications

2024
Estimating Significant Wave Height from X-Band Navigation Radar Using Convolutional Neural Networks
ISSN 0027-1349, Moscow University Physics Bulletin, 2023, Vol. 78, Suppl. 1, pp. S128–S137.
M.A. Krinitskiy, V.A. Golikov, N.N. Anikin, A.I. Suslov, A.V. Gavrikov, and N.D. Tilinina
DOI: 10.3103/S0027134923070159
PDF download
Improvement of the AI-Based Estimation of Significant Wave Height Based on Preliminary Training on Synthetic X-Band Radar Sea Clutter Images
Moscow University Physics Bulletin, 2023, Vol. 78, Suppl.1, pp. S188–S201. © Allerton Press, Inc., 2023
V. Yu. Rezvov, M. A. Krinitskiy, V. A. Golikov & N. D. Tilinina
DOI: 10.3103/S0027134923070275
PDF download
2021
Monitoring the Sea Surface State in the North Atlantic Based on Ship Navigation Facilities
Oceanology 61, 305–307 (2021)
D. V. Ivonin, A. V. Gavrikov, V. D. Sharmar, L. I. Salavatova, N. D. Tilinina & S. K. Gulev
DOI: 10.1134/S000143702103005X
PDF download
Tracking of atmospheric phenomena with artificial neural networks: A supervised approach
Procedia Computer Science, Vol. 186, 2021, p.p. 403-410
Mikhail Krinitskiy, Kirill Grashchenkov, Natalia Tilinina, Sergey Gulev
DOI: 10.1016/j.procs.2021.04.209
2020
Response of the atmospheric rivers and storm tracks to the Sudden Stratospheric Warming events on the basis of North Atlantic Atmospheric Downscaling (1979+)
2020 IOP Conf. Ser.: Earth Environ. Sci. 606 012011
A V Gavrikov, M Krinitsky, N Tilinina, Y Zyulyaeva, A Dufour and S K Gulev
DOI: 10.1088/1755-1315/606/1/012011
PDF download
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)
J. Appl. Meteor. Climatol., 59, 793–817,
Alexander Gavrikov, Sergey K. Gulev, Margarita Markina, Natalia Tilinina, Polina Verezemskaya, Bernard Barnier, Ambroise Dufour, Olga Zolina, Yulia Zyulyaeva, Mikhail Krinitskiy, Ivan Okhlopkov, and Alexey Sokov
DOI: 10.1175/JAMC-D-19-0190.1
PDF download
2019
Повторяемость штормового волнения в Баренцевом море в условиях современного климата
Вестник Московского Университета. Серия 5. География
Мысленков С.А., Маркина М.Ю., Архипкин В.С., Тилинина Н.Д.
2018
Dryland belt of Northern Eurasia: contemporary environmental changes and their consequences
Environ. Res. Lett. 13 (2018) 115008
Groisman, P., O. Bulygina, G. Henebry , N. Speranskaya, A. Shiklomanov, Y. Chen , N. Tchebakova, E. Parfenova, N. Tilinina, O. Zolina, A. Dufour, J. Chen, R. John, P. Fan , C. Mátyás, I. Yesserkepova and I. Kaipov
DOI: 10.1088/1748-9326/aae43c
PDF download
Deep Convolutional Neural Networks Capabilities for Binary Classification of Polar Mesocyclones in Satellite Mosaics
Atmosphere 2018, 9(11), 426
Krinitskiy, M., P. Verezemskaya, K. Grashchenkov, N. Tilinina, S. Gulev, M. Lazzara
DOI: 10.3390/atmos9110426
PDF download
Association of the North Atlantic surface turbulent heat fluxes with midlatitude cyclones
Mon. Wea. Rev., 146, 3691–3715
Tilinina, N., A. Gavrikov, and S. Gulev
DOI: 10.1175/MWR-D-17-0291.1
PDF download
2016
Formation of extreme surface turbulent heat fluxes from the ocean to the atmosphere in the North Atlantic
Oceanology 56(1):1-5
Natalia Tilinina, Sergey K. Gulev, Alexander Gavrikov
DOI: 10.1134/S0001437016010215
PDF download
Формирование экстремально высоких турбулентных потоков тепла из океана в атмосферу в Северной Атлантике
Океанология 56(1):5-9
Н. Д. Тилинина, С. К. Гулев, А. В. Гавриков
DOI: 10.7868/S0030157416010214
PDF download
0
AI-based estimation of significant wave height from X-band shipbourne navigation radar using convolutional neural networks
Moscow University Physics Bulletin, 2023, Vol. 78, Suppl.1, pp. S128–S137. © Allerton Press, Inc., 2023
M. A. Krinitskiy, V. A. Golikov, N. N. Anikin, A. I. Suslov, A. V. Gavrikov & N. D. Tilinina
DOI: 10.3103/S0027134923070159
PDF download
« Staff