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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...
Autores principales: | Giffard-Roisin, Sophie, Yang, Mo, Charpiat, Guillaume, Kumler Bonfanti, Christina, Kégl, Balázs, Monteleoni, Claire |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
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 |
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