arXiv Machine Learning August 11, 2026 By Swastik Agrawal, Nishkal Hundia, Ziyue Liu, Michelle Bensi

Deep Learning Imputation of Missing Radius of Maximum Winds (Rmax) Values in Tropical Cyclone Best-Track Data

Read the original on arXiv Machine Learning →

arXiv:2608. 09683v1 Announce Type: new Abstract: Probabilistic coastal hazard assessments require accurate characterization of tropical cyclone (TC) parameters, yet datasets often contain missing records for the radius of maximum winds (Rmax), a key variable in Joint Probability Method analyses.

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