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Towards Observing Tsunamis in the Ionosphere Using GPS TEC Measurements

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TLDR
Occhipinti et al. as mentioned in this paper showed that the magnitude of variations in electron density in the ionosphere due to a tsunami can depend heavily on the local orientation of the magnetic field, as well as the direction of propagation of the tsunami itself.
Abstract
Tsunamis have been a significant threat to humans living in coastal regions throughout recorded history. The recent tsunami of September 29, 2009 was a tragic reminder of this fact, as the waves caused over 180 deaths on the islands of Samoa, American Samoa, and Apia in the south Pacific. Recent modeling results and observations have demonstrated that the ionospheric signature of an ocean tsunami can potentially be detected as a traveling ionospheric disturbance (TID) produced by internal gravity waves propagating upward in the atmosphere [e. These tsunamigenic TIDs have been demonstrated to be present in ionospheric total electron content (TEC) measurements using ground-based GPS radio signals [e.g., Artru et al., (2005)] and satellite-based altimeter radar [Occhipinti et al., (2006)]. There are many remaining unanswered questions regarding the reliability of detecting tsunamigenic TIDs, including how to distinguish them from regular TIDs of non-tsunamigenic origin, as well as factors affecting the propagation of internal gravity waves into the ionosphere. Recent models show that the magnitude of variations in electron density in the ionosphere due to a tsunamigenic internal gravity wave can depend heavily on the local orientation of the magnetic field [e.g., Occhipinti et al., (2008)], as well as the direction of propagation of the tsunami itself, with meridianol (north-south) propagating waves producing much larger perturbations in TEC than waves propagating zonally (east-west) [Hickey et al., (2009)]. Such nuances may influence our ability to detect tsunamigenic TIDs, and should be thoroughly explored via data analysis of multiple events.

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References
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Implementation and testing of the Method of Splitting Tsunami (MOST) model

TL;DR: A suite of numerical simulation codes, known collectively as the MOST (Method of Splitting Tsunami) model, has been implemented and tested as discussed by the authors, which is capable of simulating three processes of tsunami evolution, i.e., generation by an earthquake, transoceanic propagation and inundation of dry land.
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Ionospheric detection of gravity waves induced by tsunamis

TL;DR: In this paper, the authors used the GEONET network in Japan to image small-scale perturbations of the Total Electron Content above Japan and up to 400 km off shore.
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Automated daily processing of more than 1000 ground-based GPS receivers for studying intense ionospheric storms

TL;DR: This work takes advantage of all available GPS receivers using a new processing algorithm based on the Global Ionospheric Mapping (GIM) software developed at the Jet Propulsion Laboratory, designed to estimate receiver biases for all stations.
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Three‐dimensional waveform modeling of ionospheric signature induced by the 2004 Sumatra tsunami

TL;DR: In this article, the authors reproduce, with a 3D numerical modeling of the ocean-atmosphere-ionosphere coupling, the tsunami signature in the Total Electron Content (TEC) data measured by the Jason-1 and Topex/Poseidon satellite altimeters.
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Propagation of tsunami‐driven gravity waves into the thermosphere and ionosphere

Abstract: [1] Recent observations have revealed large F-region electron density perturbations (∼100%) and total electron content (TEC) perturbations (∼30%) that appear to be correlated with tsunamis. The characteristic speed and horizontal wavelength of the disturbances are ∼200 m/s and ∼400 km. We describe numerical simulations using our spectral full-wave model (SFWM) of the upward propagation of a spectrum of gravity waves forced by a tsunami, and the interaction of these waves with the F-region ionosphere. The SFWM describes the propagation of linear, steady-state acoustic-gravity waves in a nonisothermal atmosphere with the inclusion of eddy and molecular diffusion of heat and momentum, ion drag, Coriolis force, and height-dependent mean winds. The tsunami is modeled as a deformation of our model lower boundary traveling at the shallow water wave speed of 200 m/s with a maximum vertical displacement of 50 cm and described by a modified Airy function in the horizontal direction. The derived vertical velocity spectrum at the surface describes the forcing at the lower boundary of the SFWM. A steady-state 1-D ionospheric perturbation model is used to calculate the electron density and TEC perturbations. The molecular diffusion strongly damps the waves in the topside (>300-km altitude) ionosphere. In spite of this, the F-region response is large, with vertical displacements of ∼2 to 5 km and electron density perturbations of ∼100%. Mean winds have a profound effect on the ability of the waves to propagate into the F-region ionosphere.