Ensemble deep learning models for tropical cyclone intensity prediction using heterogeneous datasets.
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- Tropical Cyclone Research & Review, 2025, v. 14, n. 1, p. 1, doi. 10.1016/j.tcrr.2025.02.001
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- Publication type:
- Article
Works matching IS 22256032 AND DT 2025 AND VI 14 AND IP 1
Results: 7
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The mean and extreme tropical cyclone wave climate throughout the Coral Sea, from 1979 to 2020.
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- Tropical Cyclone Research & Review, 2025, v. 14, n. 1, p. 40, doi. 10.1016/j.tcrr.2025.03.001
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- Article
3
Rapid intensification of the Super Cyclone Amphan: Environmental drivers and its future projections.
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- Tropical Cyclone Research & Review, 2025, v. 14, n. 1, p. 27, doi. 10.1016/j.tcrr.2025.02.005
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- Article
4
Impact of twin typhoons on the upper ocean environment across the Northwest Pacific ocean.
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- Tropical Cyclone Research & Review, 2025, v. 14, n. 1, p. 71, doi. 10.1016/j.tcrr.2025.02.008
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- Article
5
Evaluation of operational extended range forecast of cyclogenesis over the north Indian Ocean.
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- Tropical Cyclone Research & Review, 2025, v. 14, n. 1, p. 82, doi. 10.1016/j.tcrr.2025.02.006
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- Article
6
Comparative analysis of kinetic energy budget of Typhoons Yagi and Rumbia.
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- Tropical Cyclone Research & Review, 2025, v. 14, n. 1, p. 13, doi. 10.1016/j.tcrr.2025.02.004
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- Publication type:
- Article
7
Assessment of an Extreme Heavy Rainfall over Meghalaya, India on 16th& 17th June 2022: A case study using Meteorological and Remote Sensing observations.
- Published in:
- Tropical Cyclone Research & Review, 2025, v. 14, n. 1, p. 60, doi. 10.1016/j.tcrr.2025.02.007
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- Publication type:
- Article