This article has been reviewed according to Science X's editorial process and policies. Editors have highlighted the following attributes while ensuring the content's credibility: The University of Bristol–led study, published in Nature Communications, could help millions of people living in earthquake-prone countries make better-informed decisions about seismic risk, particularly during ongoing periods of increased earthquake activity. Recent earthquakes in Colombia, Japan and Venezuela have offered stark reminders of the importance of being as well prepared as possible for potential earthquakes.
To find out how reliable current earthquake forecast models are, researchers evaluated 27 earthquake forecasting models that, over the course of more than a decade, automatically generated a unique database of more than 50,000 next-day forecasts for California. The forecasts were contrasted against almost 600 earthquakes of magnitude 3.95 or greater recorded over the testing period. The results show that select models described the location, timing and magnitude of earthquake activity consistently, as measured against observations collected prospectively.
Bayona, an early-career Leverhulme research fellow in the University of Bristol's School of Earth Sciences, said, "No scientific method can currently predict exactly when and where the next earthquake will occur. However, probabilistic forecasting can provide useful information about where, when and how large earthquakes are more likely over a defined period. "Our study shows that the type of models currently used for operational earthquake forecasting in some countries can produce forecasts that remain consistent with observations over long periods of prospective testing.
This provides strong evidence for their use in public operational forecasting systems." The forecasts were generated automatically and fully prospectively by the Collaboratory for the Study of Earthquake Predictability (CSEP), a global community of scientists dedicated to advancing earthquake predictability research through prospective evaluation of probabilistic seismicity models. While previous CSEP experiments have evaluated earthquake forecasts in regions such as Japan, New Zealand and Italy, the California experiment is distinctive because of its combination of the number of models tested, the length of the experiment and the quantity of prospective earthquake observations available for evaluation. The findings could have practical implications for government agencies, civil protection authorities and scientific organizations developing—or considering developing—operational earthquake forecasting systems.
Bayona added, "We've provided a model 'recipe' identifying elements that can be considered when developing forecasts consistent with the observed number, spatial locations and magnitude distribution of earthquakes. We've also provided an open-source software package containing the code, data and documentation needed to transparently replicate the study's analyses, figures and results." José A. Bayona et al., Select earthquake forecasting models demonstrate consistency with prospective decadal observations in California, Nature Communications (2026).
DOI: 10.1038/s41467-026-76243-7 Journal information: Nature Communications MA in English, copy editor since 2021 with experience in higher education and health content. Dedicated to trustworthy science news. Full profile → PhD nano-engineering from Delft University.
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