G41A-0991
Using the GPS SNR Technique to Detect Volcanic Plumes
Thursday, 17 December 2015
Poster Hall (Moscone South)
Siddhesh Ravindra Naik1, Mario Mattia2, Kristine M Larson3, Massimo Rossi2, Valentina Bruno2, Mauro Coltelli4 and Yusaku Ohta5, (1)University of Colorado at Boulder, Aerospace Engineering Sciences, Boulder, CO, United States, (2)National Institute of Geophysics and Volcanology, Rome, Italy, (3)University of Colorado at Boulder, Boulder, CO, United States, (4)INGV National Institute of Geophysics and Volcanology, Rome, Italy, (5)Tohoku University, Graduate School of Science, Sendai, Japan
Abstract:
Detection of volcanic plumes, especially ash-laden ones, is important both for public health and aircraft safety. A variety of geophysical tools and satellite data are used to monitor volcanic eruptions and to predict the movement of ash. However, satellite-based methods are restricted by time of day and weather, while radars are often unavailable because of cost/ portability. GPS instruments are frequently deployed near volcanos, but typically they have only been used to measure deformation. Here a method is proposed to detect volcanic plumes using GPS signal to noise ratio (SNR) data. The strengths and limitations of the method are assessed using GPS data collected during eruptions at Mt. Redoubt (2009) and Mt. Etna (2013). Plume detections are compared with independently collected seismic and radar data.
