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

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: Jhayron S. Pérez‐Carrasquilla, Molina, Maria
DOI: 10.5281/zenodo.18274611
Cited by: 0

Abstract

*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]

Fields of Study & Subjects

Climate variability and models Meteorological Phenomena and Simulations Ecosystem dynamics and resilience

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
16 January 2026
Document type
Dataset