2026-09-21T15:59:18Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/97383 2023-07-11 col_2142_5131 col_2142_8888 com_2142_5130 com_2142_8887 com_2142_234

Makela, Jonathan J. Grawe, Matthew A. 2017-08-10T19:15:17Z 2017-08-10T19:15:17Z 2017-04-18 2017-05 Tsunamis generate internal gravity waves (IGWs) that propagate vertically into the atmosphere and can create detectable signatures in the ionosphere. These signatures have consistently been observed in the presence of a tsunami for over a decade in the total electron content and for over 5 years in the 630.0 nm airglow. Here, we provide a comprehensive overview on the utilization of airglow imaging systems for monitoring tsunamis. We develop the basic theory behind tsunami-ionospheric coupling from first principles and give special attention to the topic of tsunami-ionospheric coupling efficiency. This is followed by the presentation and analysis of a methodology for extracting wave parameters of tsunami-induced signatures appearing in airglow images. The methodology is applied to the 11 March 2011 Tohoku and 16 September 2015 Chile tsunamis as case studies. A previously developed geometric model that takes into account the assumed posture of tsunami-induced IGWs in the geomagnetic field and the observation geometry is shown to predict the region of the sky in which the observations were seen. Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2017-08-10 without embargo terms The student, Matthew Grawe, accepted the attached license on 2017-04-17 at 16:34. The student, Matthew Grawe, submitted this Thesis for approval on 2017-04-17 at 17:26. This Thesis was approved for publication on 2017-04-18 at 16:54. DSpace SAF Submission Ingestion Package generated from Vireo submission #10820 on 2017-08-10 at 13:41:29 Made available in DSpace on 2017-08-10T19:15:17Z (GMT). No. of bitstreams: 2 GRAWE-THESIS-2017.pdf: 11490958 bytes, checksum: 15f8ba7b00e2292c5a35030daecc4a26 (MD5) LICENSE.txt: 4210 bytes, checksum: 49fccf10aa77ccc6a85971f0aff2ce98 (MD5) Previous issue date: 2017-04-18 application/pdf http://hdl.handle.net/2142/97383 en Copyright 2017 Matthew Grawe Airglow Ionosphere Tsunami Gabor filter Tsunami monitoring using airglow imaging systems text text Electrical & Computer Eng Electrical & Computer Engr University of Illinois at Urbana-Champaign Thesis M.S.