Art

J-GLOBAL ID：201902223799246189   Reference number：19A0347014

深層学習を用いた台風強度推定に対する台風の特徴の影響

Author (7)： KASE KOKI (横浜国大 大学院) ,  FUDEYASU HIRONORI (横浜国大 大学院) ,  KITAMOTO ASANOBU (国立情報学研) ,  CHEN Danlan (McGill Univ.) ,  YOSHIDA RYUJI (NOAA) ,  YOSHIDA RYUJI (理研) ,  TAKEMI TETSUYA (京大 防災研)
Material： 天気
Volume： 66  Issue： 1  Page： 51-58  Publication year： Jan. 31, 2019 
JST Material Number： F0064A  ISSN： 0546-0921  Document type： Article
Article type： 短報  Country of issue： Japan (JPN)  Language： JAPANESE (JA)

Thesaurus term： machine learning ,  *strength ,  *typhoon ,  methodology ,  *satellite image ,  neural network(network)
Semi thesaurus term： Dvorak法 ,  *cloud images ,  *deep learning

JST classification (2)： Large-scale disturbance,typhoon,gravity wave of the atmosphere  (DC05070R) ,  Meteorology in general  (DC05010D)

Reference (24)：

• Dvorak, V. F., 1984: Tropical cyclone intensity analysis using satellite data. NOAA Tech. Rep. NESDIS 11, 47pp.
• Ebert-Uphoff, I., D. R. Thompson, I. Demir, Y. R. Gel, M. C. Hill, A. Karpatne, M. Guereque, V. Kumar, E. Cabral-Cano and P. Smyth, 2017: A vision for the development of benchmarks to bridge geoscience and data science. Proc. 7th Int. Workshop Climate Inf.: CI2017 (V. Lyubchich et al., ed.), 49-52.
• Fudeyasu, H., S. Hirose, H. Yoshioka, R. Kumazawa and S. Yamasaki, 2014: A global view of the landfall characteristics of tropical cyclones. Trop. Cyclone Res. Rev., 3, 178-192.
• Fudeyasu, H., K. Ito and Y. Miyamoto, 2018: Characteristics of tropical cyclone rapid intensification over the Western North Pacific. J. Climate, 31, 8917-8930.
• Gorricha, J. and A. C. Costa, 2013: A framework for exploratory analysis of extreme weather events using geostatistical procedures and 3D self-organizing maps. Int. J. Adv. Intel. Syst., 6, 16-26.

Terms in the title (4)： 深層学習 ,  台風強度 ,  推定 ,  台風