Krishnamoorthy, Siddharth and Komjathy, Attila and Pauken, Michael T. and Cutts, James A. and Garcia, Raphael F. and Mimoun, David and Cadu, Alexandre and Sournac, Anthony and Jackson, Jennifer M. and Lai, Voon Hui and Bowman, Daniel C. (2018) Detection of Artificially Generated Seismic Signals using Balloon-borne Infrasound Sensors. Geophysical Research Letters, 45 (8). pp. 3393-3403. ISSN 0094-8276. doi:10.1002/2018GL077481. https://resolver.caltech.edu/CaltechAUTHORS:20180329-134654856
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Abstract
We conducted an experiment in Pahrump, Nevada, in June 2017, where artificial seismic signals were created using a seismic hammer, and the possibility of detecting them from their acoustic signature was examined. In this work, we analyze the pressure signals recorded by highly sensitive barometers deployed on the ground and on tethers suspended from balloons. Our signal processing results show that wind noise experienced by a barometer on a free‐flying balloon is lower compared to one on a moored balloon. This has never been experimentally demonstrated in the lower troposphere. While seismoacoustic signals were not recorded on the hot air balloon platform owing to operational challenges, we demonstrate the detection of seismoacoustic signals on our moored balloon platform. Our results have important implications for performing seismology in harsh surface environments such as Venus through atmospheric remote sensing.
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| Additional Information: | © 2018 American Geophysical Union. Received 6 FEB 2018; Accepted 21 MAR 2018; Accepted article online 26 MAR 2018; Published online 24 APR 2018. Contributions from JPL authors were made possible by research carried out with support from an internal research and technology grant at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration. Contributions from ISAE authors were funded by ISAE‐SUPAERO, la Délégation Générale de l'Armement (DGA), and le site du Centre National d'Études Spatiales (CNES). The authors would like to thank Gerald Walsh, Giorgio Savastano, Sharon Kedar, Kirk Barrow, and others from JPL, NASA Armstrong Flight Research Center, and HH Seismic for their support leading up to and during the Pahrump experiment. We also acknowledge the Front Sight Firearms Training Institute for providing us with the test site for this experiment. Sandia National Laboratories is a multimission laboratory managed and operated by National Technology & Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International Inc., for the U.S. Department of Energy's National Nuclear Security Administration under contract DE‐NA0003525. The views expressed in the article do not necessarily represent the views of the U.S. Department of Energy or the United States Government. Data used to generate results presented here have been uploaded to a publicly accesible FigShare repository with doi:10.6084/m9.figshare.6137507. | ||||||||||||||||||||
| Group: | Seismological Laboratory, Keck Institute for Space Studies | ||||||||||||||||||||
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| Subject Keywords: | Seismology; Venus; Balloon; Infrasound | ||||||||||||||||||||
| Issue or Number: | 8 | ||||||||||||||||||||
| DOI: | 10.1002/2018GL077481 | ||||||||||||||||||||
| Record Number: | CaltechAUTHORS:20180329-134654856 | ||||||||||||||||||||
| Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:20180329-134654856 | ||||||||||||||||||||
| Official Citation: | Krishnamoorthy, S., Komjathy, A., Pauken, M. T., Cutts, J. A., Garcia, R. F., Mimoun, D., et al. (2018). Detection of Artificially Generated Seismic Signals Using Balloon‐Borne Infrasound Sensors. Geophysical Research Letters, 45, 3393–3403. https://doi.org/10.1002/2018GL077481 | ||||||||||||||||||||
| Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | ||||||||||||||||||||
| ID Code: | 85503 | ||||||||||||||||||||
| Collection: | CaltechAUTHORS | ||||||||||||||||||||
| Deposited By: | Tony Diaz | ||||||||||||||||||||
| Deposited On: | 29 Mar 2018 21:09 | ||||||||||||||||||||
| Last Modified: | 15 Nov 2021 20:29 |
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