Improving tropical cyclone rapid intensification forecasts with satellite measurements of sea surface salinity and calibrated machine learning

Improving tropical cyclone rapid intensification forecasts with satellite measurements of sea surface salinity and calibrated machine learning

Forecasting rapid intensification (RI) of tropical cyclones (TC) is a mission known for large errors. One under-researched factor that affects TC intensification is salinity, which is important for density stratification in certain ocean regions and can affect the surface enthalpy flux under a stren...

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Bibliographic Details
Main Authors: Ryan Eusebi, Hui Su, Longtao Wu, Pingping Rong, Karthik Balaguru, Ruby Leung, Yong-Sang Choi, Pak Wai Chan, Jianping Gan, Mark DeMaria, Galina Chirokova
Format: Article
Language:English
Published: IOP Publishing 2025-01-01
Series:Environmental Research Letters
Subjects:
tropical cyclone
satellite
hurricane
rapid intensification
salinity
machine learning
Online Access:https://doi.org/10.1088/1748-9326/adac7f
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