{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/116212"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/116212","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Forecasting volcanic unrest through geodetic data assimilation","abstract":"Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-11-15 without embargo terms","abstract_html":"Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-11-15 without embargo terms","abstract_has_math":false,"creators":["Albright, Jack"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Geology","degree_department":null,"school":null,"contributors":["Gregg, Patricia M","Liu, Lijun","Best, James","Marshak, Stephen","Pettijohn, Justin C"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2022,"date_issued":"2022-08","date_published":"2022-08","updated_at":"2026-07-22T22:24:55Z","subjects":["geodesy","EnKF","geodynamics","eruption forecasting"],"languages":["en","eng"],"rights":["Copyright 2022 Jack Albright"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/2142/116212","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Gregg, Patricia M","Liu, Lijun","Best, James","Marshak, Stephen","Pettijohn, Justin C"]},{"key":"dc:creator","label":"Author","values":["Albright, Jack"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2022-08","2022-07-12"]},{"key":"dc:type","label":"Dc Type","values":["text","Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Geology"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["geodesy","EnKF","geodynamics","eruption forecasting"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en","eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2022 Jack Albright"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://hdl.handle.net/2142/116212"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-11-15 without embargo terms","The student, Jack Albright, accepted the attached license on 2022-07-11 at 16:13.","The student, Jack Albright, submitted this Dissertation for approval on 2022-07-11 at 16:21.","This Dissertation was approved for publication on 2022-07-12 at 17:03.","DSpace SAF Submission Ingestion Package generated from Vireo submission #18228 on 2022-11-15 at 17:38:45","Volcanic eruptions pose a serious hazard to communities around the world, and one of the key goals of volcanology as a discipline is to better forecast volcanic unrest so that the damage and loss of life caused by future events can be minimized. To that end, many active volcanoes host extensive monitoring networks, both ground-based and spaceborne, that detect deviations from the system’s baseline behavior. This dissertation focuses on using the Ensemble Kalman Filter (EnKF), an advanced data assimilation technique, to derive the physical conditions of an active magma reservoir from geodetic measurements of ground deformation. The models produced by the EnKF can in turn be used to measure the stress state in and around the reservoir, determining its long-term mechanical stability and the likelihood of a physically triggered eruption. After successfully applying this framework to hind-cast the 2008 eruption of Okmok, Alaska, I use a series of synthetic tests to measure the EnKF’s sensitivity to different drivers of magmatic inflation. While changes in different reservoir parameters can produce very similar geodetic signals, the EnKF can broadly distinguish between different scenarios, albeit with some difficulty resolving exact reservoir parameters. By evaluating the performance of different variations on the EnKF workflow, I show that these distortions are persistent and arise from non-uniqueness in the geodetic observations. Although the application of geodetic data can only constrain a magma reservoir to within a range of non-unique states, that range is narrow enough to provide meaningful information about the system’s stability. In the end, I show that the EnKF can quickly and efficiently invert geodetic data, particularly high-resolution satellite measurements, to provide useful eruption forecasts."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Forecasting volcanic unrest through geodetic data assimilation"]}]}],"canonical_facts":{"dc:contributor":["Gregg, Patricia M","Liu, Lijun","Best, James","Marshak, Stephen","Pettijohn, Justin C"],"dc:creator":["Albright, Jack"],"dc:date":["2022-08","2022-07-12"],"dc:description":["Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-11-15 without embargo terms","The student, Jack Albright, accepted the attached license on 2022-07-11 at 16:13.","The student, Jack Albright, submitted this Dissertation for approval on 2022-07-11 at 16:21.","This Dissertation was approved for publication on 2022-07-12 at 17:03.","DSpace SAF Submission Ingestion Package generated from Vireo submission #18228 on 2022-11-15 at 17:38:45","Volcanic eruptions pose a serious hazard to communities around the world, and one of the key goals of volcanology as a discipline is to better forecast volcanic unrest so that the damage and loss of life caused by future events can be minimized. To that end, many active volcanoes host extensive monitoring networks, both ground-based and spaceborne, that detect deviations from the system’s baseline behavior. This dissertation focuses on using the Ensemble Kalman Filter (EnKF), an advanced data assimilation technique, to derive the physical conditions of an active magma reservoir from geodetic measurements of ground deformation. The models produced by the EnKF can in turn be used to measure the stress state in and around the reservoir, determining its long-term mechanical stability and the likelihood of a physically triggered eruption. After successfully applying this framework to hind-cast the 2008 eruption of Okmok, Alaska, I use a series of synthetic tests to measure the EnKF’s sensitivity to different drivers of magmatic inflation. While changes in different reservoir parameters can produce very similar geodetic signals, the EnKF can broadly distinguish between different scenarios, albeit with some difficulty resolving exact reservoir parameters. By evaluating the performance of different variations on the EnKF workflow, I show that these distortions are persistent and arise from non-uniqueness in the geodetic observations. Although the application of geodetic data can only constrain a magma reservoir to within a range of non-unique states, that range is narrow enough to provide meaningful information about the system’s stability. In the end, I show that the EnKF can quickly and efficiently invert geodetic data, particularly high-resolution satellite measurements, to provide useful eruption forecasts."],"dc:format":["application/pdf"],"dc:identifier":["https://hdl.handle.net/2142/116212"],"dc:language":["en","eng"],"dc:rights":["Copyright 2022 Jack Albright"],"dc:subject":["geodesy","EnKF","geodynamics","eruption forecasting"],"dc:title":["Forecasting volcanic unrest through geodetic data assimilation"],"dc:type":["text","Thesis"],"thesis:degree_discipline":["Geology"],"thesis:degree_level":["Dissertation"],"thesis:degree_name":["Ph.D."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:24:55Z"}