What question did this study set out to answer?

The research aims to provide a reproducible analysis framework and dataset for studying rapid intensification in tropical cyclones.

July 20, 2026Open Access

CycloneNet: A Reproducible Pipeline and Leakage-Safe Two-Basin Dataset for Tropical-Cyclone Rapid-Intensification Analysis

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Randomized trial analyzes rapid-intensification in tropical cyclones, suggesting areas for improved methodologies.

The research aims to provide a reproducible analysis framework and dataset for studying rapid intensification in tropical cyclones.
Developed CycloneNet as a reproducible processing pipeline.
Generated and validated a dataset covering 16,780 events from 1980-2023.
Utilized metrics like ROC-AUC and recall for evaluating model performance.
Initial metrics from v1 showed ROC-AUC 0.97 and recall 0.92 but were later retracted.
The final dataset provided ROC-AUC 0.796 (95% CI: 0.753–0.837) and recall 0.852.
The pipeline ensures train/test separation at the storm level using SHA-256 for reproducibility.

Estefano Senhor Ferreira (2026) studied this question.

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