Probabilistic, Multi‐Sensor Eruption Forecasting
Abstract We developed an eruption forecasting model using data from multiple sensors or data streams with the Bayesian network method. The model generates probabilistic forecasts that are interpretable and resilient against sensor outage. We applied the model at Whakaari/White Island, an andesite is...
Saved in:
| Main Authors: | Y. Behr, A. Christophersen, C. Miller |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-04-01
|
| Series: | Geophysical Research Letters |
| Subjects: | |
| Online Access: | https://doi.org/10.1029/2024GL112029 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The Role of Tuffs in Sealing Volcanic Conduits
by: Shreya Kanakiya, et al.
Published: (2021-10-01) -
Volcanic Eruption Forecasts From Accelerating Rates of Drumbeat Long‐Period Earthquakes
by: Andrew F. Bell, et al.
Published: (2018-02-01) -
Effusive eruption of Snow volcano in 2012–2016 (Chirpoi Island, Kuril islands)
by: A.V. Degterev, et al.
Published: (2025-03-01) -
Could Kı̄lauea's 2020 Post Caldera‐Forming Eruption Have Been Anticipated?
by: Paul Segall, et al.
Published: (2022-08-01) -
Rapid Response to Effusive Eruptions Using Satellite Infrared Data: The March 2024 Eruption of Fernandina (Galápagos)
by: Diego Coppola, et al.
Published: (2025-03-01)