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Deep learning approach for detecting tropical cyclones and their precursors in the simulation by a cloud-resolving global nonhydrostatic atmospheric model

Crossref DOI link: https://doi.org/10.1186/s40645-018-0245-y

Published Online: 2018-12-19

Published Print: 2018-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Matsuoka, Daisuke https://orcid.org/0000-0003-3306-5997
Nakano, Masuo

Sugiyama, Daisuke

Uchida, Seiichi
Funding

Funding for this research was provided by:

Japan Society for the Promotion of Science (16K13885)

Japan Society for the Promotion of Science (26700010)

Japan Society for the Promotion of Science (17K13010)

Precursory Research for Embryonic Science and Technology (JPMJPR1777)
License Information

Text and Data Mining valid from 2018-12-01

Version of Record valid from 2018-12-19
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Article History

Received: 28 March 2018

Accepted: 19 November 2018

First Online: 19 December 2018

Competing interests

: The authors declare that they have no competing interest.

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