Earth and Space ScienceThe rapid advancement of data‐driven machine learning (ML) models has improved typhoon track forecasts, but challenges remain, such as underestimating typhoon intensity and lacking interpretability. This study introduces an ML‐driven hybrid typhoon model,
Zeyi Niu +7 more
doaj +1 more source
Investigating changes in global tropical cyclone storm frequency and intensity [PDF]
, 2010 Understanding fluctuations in tropical cyclone activity along United States shores and abroad becomes increasingly important as coastal managers and planners seek to save lives, mitigate damage, and plan for resilience in the face of changing storminess
Hennon, Paula +2 more
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Interactions Between a Marine Heatwave and Tropical Cyclone Amphan in the Bay of Bengal in 2020
Frontiers in Climate, 2022 Interactions are diagnosed between a marine heatwave (MHW) event and tropical super cyclone Amphan in the Bay of Bengal. In May 2020, an MHW developed in the Bay of Bengal driven by coupled ocean-atmosphere processes which included shoaling of the mixed ...
Saurabh Rathore +9 more
doaj +1 more source
Simulation of the global ENSO–Tropical cyclone teleconnection by a high-resolution coupled general circulation model [PDF]
, 2014 This study assesses the influence of the El Niño–Southern Oscillation (ENSO) on global tropical cyclone activity using a 150-yr-long integration with a high-resolution coupled atmosphere–ocean general circulation model [High-Resolution Global ...
Bell, Ray +4 more
core +1 more source
Tropical Cyclone Intensity Estimation Using Multi-Dimensional Convolutional Neural Networks from Geostationary Satellite Data [PDF]
, 2019 For a long time, researchers have tried to find a way to analyze tropical cyclone (TC) intensity in real-time. Since there is no standardized method for estimating TC intensity and the most widely used method is a manual algorithm using satellite-based ...
Amit +21 more
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Dinamika Siklon Tropis di Asia Tenggara Menggunakan Data Penginderaan Jauh [PDF]
, 2012 Tropical cyclone is the form of extreme weather disturb. The growth of tropical cyclone is originated by tropical depressionor the center of an intensive low pressure above the ocean, triggering convection process and the intensive forming of cloud ...
Haryani, N. S. (Nanik) +1 more
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Journal of Geophysical Research: Machine Learning and ComputationArtificial‐intelligence weather prediction models have recently surpassed numerical models in large‐scale skill, but they still systematically underestimate typhoon intensity due to their reliance on coarse‐resolution training data from ERA5. To overcome
Zeyi Niu +8 more
doaj +1 more source
Physically-based landfalling tropical cyclone scenarios in support of risk assessment
Weather and Climate Extremes, 2019 Populations and property values are increasing in tropical cyclone prone regions, driving up repair and replacement costs following a tropical cyclone impact. Climate change influences on tropical cyclones and sea levels will only exacerbate these rises.
Cindy L. Bruyère +7 more
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Predictability associated with extratropical transition of tropical cyclones as defined by operational ensemble prediction systems [PDF]
, 2004 The poleward movement of a decaying tropical cyclone often results in a rapidly-moving, explosively-deepening midlatitude cyclone. The re-intensification of the remnant tropical cyclone as an extratropical cyclone depends on the phasing between the ...
Anwender, Doris +2 more
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Statistical evidence links exceptional 1995 Atlantic hurricane season to record sea warming [PDF]
, 2004 Tropical cyclones rank above earthquakes as the major geophysical cause of loss of life and property (Bryant, 1991; Houghton, 1994). In the United States alone, the damage bill from mainland landfalling hurricanes over the last 50 years averages $2.0 ...
Harris, AR, Saunders, MA
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