[A-TT30] Machine Learning Techniques in Weather, Climate, Ocean, Hydrology and Disease Predictions

16:00 〜 16:15

[ATT30-03] Acquisition of wind wave characteristics from X-band Maritime Radar Images via Artificial Neural Networks

*Mikhail Krinitskiy^2,1、Vadim Rezvov^2,1、Viktor Golikov^2,1、Alexander Gavrikov¹、Mikhail Borisov^2,1、Alexander Suslov¹ (1.Shirshov Institute of Oceanology, Russian Academy of Sciences、2.Moscow Institute of Physics and Technology)

2024年5月29日(水) 17:15 〜 18:45 ポスター会場 (幕張メッセ国際展示場 6ホール)

[E] ポスター発表
| セッション記号 A (大気水圏科学)
| A-TT 計測技術・研究手法

[A-TT30] Machine Learning Techniques in Weather, Climate, Ocean, Hydrology and Disease Predictions

17:15 〜 18:45

[ATT30-P03] Diagnostics of intense precipitation from large-scale atmospheric fields for the interpretation of climate modeling in Moscow region

*Yulia Yarinich^1,2,3、Victor Stepanenko^1,4,2、Mikhail Krinitskiy^1,4,5,6、Mikhail Varentsov^1,4 (1.Research Computing Center, Lomonosov Moscow State University, Moscow, Russia、2. Faculty of Geography, Lomonosov Moscow State University, Moscow, Russia 、3.A.M. Obukhov Institute of Atmospheric Physics of Russian Academy of Science、4.Moscow Center for Fundamental and Applied Mathematics, Moscow, Russia、5.Shirshov Institute of Oceanology, Russian Academy of Sciences, Moscow, Russia、6.Moscow Institute of Physics and Technology, Dolgoprudny, Russia)

2024年5月26日(日) 15:30 〜 16:45 201A (幕張メッセ国際会議場)

[E] 口頭発表
| セッション記号 M (領域外・複数領域)
| M-IS ジョイント

[M-IS01] ENVIRONMENTAL, SOCIO-ECONOMIC, AND CLIMATIC CHANGES IN NORTHERN EURASIA

16:15 〜 16:30

[MIS01-20] Large-scale partitioning of the territory of Russia in the context of carbon biogeochemical cycle using machine learning techniques

*Mikhail Krinitskiy^1,2,3、Tatiana Kharitonova³、Alexander Maksakov³、Vadim Rezvov^1,2 (1.Shirshov Institute of Oceanology, Russian Academy of Sciences、2.Moscow Institute of Physics and Technology、3.Lomonosov Moscow State University)

Mikhail Krinitskiy

発表者・著者、共著者

[A-TT30] Machine Learning Techniques in Weather, Climate, Ocean, Hydrology and Disease Predictions

[ATT30-03] Acquisition of wind wave characteristics from X-band Maritime Radar Images via Artificial Neural Networks

[A-TT30] Machine Learning Techniques in Weather, Climate, Ocean, Hydrology and Disease Predictions

[ATT30-P03] Diagnostics of intense precipitation from large-scale atmospheric fields for the interpretation of climate modeling in Moscow region

[M-IS01] ENVIRONMENTAL, SOCIO-ECONOMIC, AND CLIMATIC CHANGES IN NORTHERN EURASIA

[MIS01-20] Large-scale partitioning of the territory of Russia in the context of carbon biogeochemical cycle using machine learning techniques