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Geostationary Satellite–Derived Positioning of a Tropical Cyclone Center Using Artificial Intelligence Algorithms over the Western North Pacific

CITE Title : Geostationary Satellite–Derived Positioning of a Tropical Cyclone Center Using Artificial Intelligence Algorithms over the Western North Pacific Personal Author(s) : Ho, Chang-Hoi;Hyeon, Donggyu;Chang, Minhee;McFarquhar, Greg;Won, Seong-Hee; Published Date : 2024 Source : Bulletin of the American Meteorological Society, 105(3), E486-E500 DOI : https://doi.org/10.1175/bams-d-23-0130.1 Journal Title : Bulletin of the American Meteorological Society Ho, Chang-Hoi et al. (2024). Geostationary Satellite–Derived Positioning of a Tropical Cyclone Center Using Artificial Intelligence Algorithms over the Western North Pacific. 105(3). https://doi.org/10.1175/bams-d-23-0130.1 Ho, Chang-Hoi et al. "Geostationary Satellite–Derived Positioning of a Tropical Cyclone Center Using Artificial Intelligence Algorithms over the Western North Pacific" 105, no. 3 (2024), https://doi.org/10.1175/bams-d-23-0130.1 Ho, Chang-Hoi et al. "Geostationary Satellite–Derived Positioning of a Tropical Cyclone Center Using Artificial Intelligence Algorithms over the Western North Pacific" vol. 105, no. 3, 2024, https://doi.org/10.1175/bams-d-23-0130.1 Export RIS Citation Information.

:

Ho, Chang-Hoi ;

Hyeon, Donggyu

2024 | Bulletin of the American Meteorological Society, 105(3), E486-E500

:

Artificial intelligence (AI) models were developed to determine the center of tropical cyclones (TCs) in the western North Pacific. These models integ...

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