Code for "A Continuous Intensification Rate Index for Tropical Cyclones Using Vortex-Scale Machine Learning"

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Authors: Cheng‐Hsiang Chih, Chun‐Chieh Wu, Yi-Hsuan Huang
Cited by: 0

Abstract

This repository contains all custom computer code used to generate the results central to the manuscript submitted to Nature Communications (2026). The code implements Random Forest, SVR, and ANN models for deriving a continuous intensification rate index for tropical cyclones using vortex-scale features. Full README and installation instructions are included inside the ZIP.

Fields of Study & Subjects

Tropical and Extratropical Cyclones Research Meteorological Phenomena and Simulations Oceanographic and Atmospheric Processes

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
20 February 2026
Language
CMN