Tropical Cyclone Surface Winds From Aircraft With a Neural Network

Tropical Cyclone Surface Winds From Aircraft With a Neural Network

Abstract Estimates of the surface wind field in a tropical cyclone (TC) are required in real time by operational forecast centers to warn the public about potential impacts to life and property. In‐situ aircraft data must be adjusted from flight level to surface using wind reductions (WRs) since the...

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Bibliographic Details
Main Authors: Alexander J. DesRosiers, Michael M. Bell, Jennifer C. DeHart, Jonathan L. Vigh, Christopher M. Rozoff, Eric A. Hendricks
Format: Article
Language:English
Published: Wiley 2025-06-01
Series:Journal of Geophysical Research: Machine Learning and Computation
Subjects:
tropical cyclone
machine learning
neural network
Online Access:https://doi.org/10.1029/2025JH000584
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