Tropical Cyclone Track Forecasting Using Fused Deep Learning From Aligned Reanalysis Data

The forecast of tropical cyclone trajectories is crucial for the protection of people and property. Although forecast dynamical models can provide high-precision short-term forecasts, they are computationally demanding, and current statistical forecasting models have much room for improvement given...

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Detalles Bibliográficos
Autores principales: Giffard-Roisin, Sophie, Yang, Mo, Charpiat, Guillaume, Kumler Bonfanti, Christina, Kégl, Balázs, Monteleoni, Claire
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Big Data
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7931887/
https://www.ncbi.nlm.nih.gov/pubmed/33693376
http://dx.doi.org/10.3389/fdata.2020.00001

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7931887/
https://www.ncbi.nlm.nih.gov/pubmed/33693376
http://dx.doi.org/10.3389/fdata.2020.00001

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