Published January 17, 2026 | Version v1
Dataset Open

Weather Regime Diversity, Transitions, and Trends using Hexagonal Self-Organizing Maps

Authors/Creators

  • 1. EDMO icon University of Maryland
  • 2. ROR icon University System of Maryland
  • 3. National Center for Atmospheric Research
  • 4. Corporación Clima

Description

*Wichrowski, L., *J. S. Pérez-Carrasquilla, and M. J. Molina (Under Review). Weather Regime Diversity, Transitions, and Trends using Hexagonal Self-Organizing Maps. Journal of Geophysical Research: Atmospheres. [Preprint]

Files

df_labels_nocorrfilt_ERA5.csv

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Additional details

Dates

Available
2026-01-17

Software

Repository URL
https://github.com/pareto-group/WRPathways
Programming language
Python