posted on 2025-08-02, 12:24authored byJ Hickey, K Pascal, R Syers, R Alshembari
Volcano GPS networks can capture vital information during volcanic unrest to aid with hazard assessment and eruption forecasting, but can be hindered by their discrete point locations and possibly miss key spatial information. We show how numerical models can reveal controls on spatial deformation signal intensity compared against GPS network design. Using the GPS network at Soufrière Hills Volcano (SHV), Montserrat, and a range of models, we explore expected surface deformation patterns. Peak horizontal deformation is located offshore, highlighting the difficulties with geodetic monitoring on small ocean-island volcanoes. Onshore areas where the deformation signal is expected to be high are also identified. At SHV, topography plays a greater role in altering the relative distribution of surface displacement patterns than subsurface heterogeneity. Our method, which can be adapted for other volcanoes, highlights spatial areas that can be targeted for effective GPS station placement to help improve deformation monitoring efficiency.
This is the final version. Available from the American Geophysical Union via the DOI in this record.
Data Availability Statement:
All GPS data supporting this study are not publicly available, but can be obtained from the Montserrat Volcano Observatory (MVO) upon establishment of a signed, mutually-beneficial, collaboration agreement that includes a data license. This policy supports the continuous monitoring work of the MVO, and fosters partnerships respectful of the difficulties of managing a current eruptive episode. The policy is in agreement with the “Best-practice Engagement Protocols for International Collaborations”, produced by the IAVCEI International Network for Collaboration in Volcanology (IAVCEI-INVOLC) commission and endorsed by IAVCEI (https://involc.iavceivolcano.org/engagement-protocols-for-international-collaboration-2). Some GPS data are publicly available in the UNAVCO/EarthScope archive (https://www.unavco.org/data/gps-gnss/gps-gnss.html)