Forecasting volcanic eruptions: Can we predict the unpredictable? It's a question that has plagued scientists for years, as the ability to accurately forecast volcanic eruptions remains a significant challenge. Currently, there isn't a universally reliable, real-time framework for predicting these powerful natural events. Instead, researchers often rely on retrospective analysis, studying past eruptions to understand patterns. But here's where it gets controversial: this approach can introduce biases, like 'data snooping,' where scientists might reinterpret data with the benefit of hindsight, or adjust models after an eruption has already occurred.
To tackle this, a team of researchers associated with the Geohazards Crisis Observatory has initiated an experiment focused on developing a physics-based eruption forecasting framework. Their findings are available on the arXiv preprint server.
A Bias-Proof Approach to Forecasting
The core of the experiment revolves around testing two key hypotheses. The first is whether volcanic eruptions can be forecasted in real-time by analyzing patterns that indicate the system is approaching a 'catastrophic failure.' The second hypothesis explores whether the timing of these eruptions can be reasonably predicted using probability.
But what makes this experiment unique? A critical aspect of the project is minimizing bias and ensuring transparency. The team will create monthly forecasts for Axial Seamount, an active submarine volcano off the coast of Oregon, before each expected eruption.
These forecasts will be cryptographically hashed and archived before public release, guaranteeing their integrity and preventing any post-hoc alterations. A master 'meta-document' will be maintained, detailing the methods and datasets used, with each version uploaded to a publicly accessible archive like arXiv.
The study's authors emphasize that all forecasts will be released, regardless of their accuracy. Selective reporting or modification of forecasts won't be possible because each version is permanently timestamped and publicly archived. After an eruption, the team plans to assess their predictions and refine their models.
Axial Seamount: A Volcano Under Scrutiny
Axial Seamount, which erupted in 1998, 2011, and 2015, is a prime candidate for this experiment. Scientists anticipate another eruption in the near future. Initially, they predicted an eruption in 2025, but their recent analysis suggests it's more likely to occur in mid-to-late 2026. This shift in timing is due to a slowing of the measured seafloor uplift, or inflation. However, the researchers note that the inflation is already higher than it was before the 2015 eruption.
Axial Seamount is one of the most closely monitored volcanoes globally, making it an ideal location for developing prediction models. The site is equipped with a network of four cabled bottom pressure recorders that measure seafloor uplift and seismometers that record earthquake activity. This data is crucial for creating a physics-based prediction model.
The researchers note that the 2015 eruption was predicted about seven months in advance, within a one-year window, based on pattern recognition in the geodetic time series. However, subsequent applications of this technique haven't produced reliable forecasts due to variable inflation rates, highlighting the need for physics-based forecasting frameworks.
Looking Ahead: The Future of Eruption Prediction
The primary goal of this experiment isn't necessarily to accurately predict the next Axial Seamount eruption. Instead, it aims to inform the development of more robust, physics-based forecasting tools, build public trust in scientific forecasts, and improve our understanding of the scientific process. Improved eruption forecasts could significantly enhance hazard preparedness for coastal communities and marine operations.
What do you think? Do you believe that physics-based models offer the best path to accurate eruption forecasting? Are you optimistic about the potential for improved hazard preparedness? Share your thoughts in the comments below!
