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From field station to forecast: Managing data at the Alaska Volcano Observatory

Abstract

The Alaska Volcano Observatory (AVO) uses multidisciplinary data to monitor and study dozens of active and potentially active volcanoes. Here, we provide an overview of internally and externally generated data types, tools and resources used in their management, and challenges faced. Data sources include the following: (1) a multiparameter (seismic, infrasound, GNSS, web cameras) ground-based monitoring network that spans 3000 km and transmits data in real time; (2) a variety of satellite-borne sensors that provide information about surface change and volcanic emissions; (3) geologic and gas field campaigns; and (4) other external data products that provide situation awareness. Each data type requires distinct acquisition, processing, storage, visualization, and archiving approaches. AVO uses a variety of externally and internally developed tools to handle individual data types as well as multidisciplinary volcanological data. A primary tool is the Geologic Database of Information on Volcanoes in Alaska (GeoDIVA), which stores detailed, searchable information on more than 140 volcanoes and over 1000 eruptions and unrest events, including images, eruption descriptions, and geologic station and sample data, metadata, and analyses. It interacts with other internal tools that store monitoring reports and other operational records. Additional data management resources used by AVO assist with alarms and alerts, state-of-health monitoring, and multiparameter visualization. Requirements for 24/7 accessibility, the ever-expanding portfolio of data, and transitioning new tools from development to operations are all challenges faced by AVO and other volcano observatories. AVO strives to meet FAIR data practices and ensure that data are available to national and international community efforts using external repositories as well as those hosted by AVO and its parent institutions.

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BibTeXRIS

Michelle L. Coombs, Cheryl Cameron, Hannah R. Dietterich, Eleanor Boyce, Aaron Wech, Ronni Grapenthin, Kristi L. Wallace, Thomas Parker, Taryn Lopez, Scott Crass, David Fee, Matthew M. Haney, Dane M. Ketner, Matthew W. Loewen, John J. Lyons, Jenny Sha Nakai, John A. Power, Steven M Botnick, Israel Brewster, Max L. Enders, Dain Harmon, Peter J. Kelly, Michael J. Randall. 2024-08-28. From field station to forecast: Managing data at the Alaska Volcano Observatory. https://doi.org/10.1007/s00445-024-01766-0

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