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Prediction of a typhoon track using a generative adversarial network and satellite images

Tracks of typhoons are predicted using a generative adversarial network (GAN) with satellite images as inputs. Time series of satellite images of typhoons which occurred in the Korea Peninsula in the past are used to train the neural network. The trained GAN is employed to produce a 6-hour-advance t...

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Detalles Bibliográficos
Autores principales: Rüttgers, Mario, Lee, Sangseung, Jeon, Soohwan, You, Donghyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6465318/
https://www.ncbi.nlm.nih.gov/pubmed/30988405
http://dx.doi.org/10.1038/s41598-019-42339-y