Using deep learning to better forecast tropical cyclone tracks and intensities
Year: 2026
Type: article
Source: Scilight
DOI: 10.1063/10.0042806
Author: Anashe Bandari
Language: English
Subfield: Atmospheric Science
Field: Earth and Planetary Sciences
Domain: Physical Sciences
SDG: Climate action
Open Access status: closed
OpenAlex ID: W7130509038
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