Articles | Volume 30, issue 20
https://doi.org/10.5194/hess-30-6531-2026
https://doi.org/10.5194/hess-30-6531-2026
Research article
 | 
23 Oct 2026
Research article |  | 23 Oct 2026

Characterizing Climate-Driven Shifts in Chilean Rainfall Regimes with a Hybrid Hidden Markov–Copula Framework

Mauricio Herrera-Marín, Francisca Kleisinger, Diego Rivera, Andrés Wilson, and Alex Godoy-Faundez

Data sets

CR2MET v2.5: High-resolution precipitation and temperature dataset for 1960--2021 in continental Chile J. P. Boisier https://doi.org/10.5281/zenodo.7529682

Model code and software

Hybrid Hidden Markov–Copula Precipitation Framework M. Herrera-Marín https://doi.org/10.5281/zenodo.23322615

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Short summary
Chile’s changing rainfall makes water planning more difficult. Using decades of rainfall observations and climate records, we identified five recurring weather patterns and simulated rainfall across the country. We found that wet weather patterns have become less persistent over four decades, alongside rising ocean temperatures. Tests against observations from 2022 showed that the simulations captured rainfall uncertainty well. These results can help assess drought and flood risks.
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