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Dr. Daisuke Matsuoka’s paper win PEPS The Most Downloaded Paper Award 2020

22 June, 2020

The article written by Dr. Daisuke Matsuoka won PEPS The Most Downloaded Paper Award 2020.
This award is presented to one or more highly accessed and downloaded papers published between January 2018 and December, 2019 in the Japan Geoscience Union (JpGU)’s international journal "Progress in Earth and Planetary Science (PEPS)".

Prize article: Deep learning approach for detecting tropical cyclones and their precursors in the simulation by a cloud-resolving global nonhydrostatic atmospheric model. (Published: 19 December 2018)
Author: Daisuke Matsuoka*, Masuo Nakano*, Daisuke Sugiyama*, Seiichi Uchida
https://doi.org/10.1186/s40645-018-0245-y

*First Author: Daisuke Matsuoka (Researcher, Research Institute for Value-Added-Information Generation [VAiG], Information Engineering Program [IEP])
Co-Author: Masuo Nakano (Researcher, Research Institute for Global Change [RIGC], Research Center for Environmental Modeling and Application [CEMA]: Contribution to data analysis and interpretation from a meteorological viewpoint), Daisuke Sugiyama (Research Technician, Research Institute for Value-Added-Information Generation [VAiG], Information Engineering Program [IEP]: Contribution to performance improvement of the machine learning program)