Contributions of Space Missions to Better Tsunami Science: Observations, Models and Warnings

Hébert, Hélène; Occhipinti, G.; Schindelé, François; Gailler, Audrey; Pinel‐Puysségur, Béatrice; Gupta, Harsh K.; Rolland, Lucie; Lognonné, Philippe; Lavigne, Franck; Meilianda, Ella; Chapkanski, Stoil; Crespon, F.; Paris, Alexandre; Heinrich, Philippe; Monnier, Annelie A; Jamelot, Anthony; Reymond, D.

doi:10.1007/s10712-020-09616-2

Cited by 9 publications

(8 citation statements)

References 163 publications

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“…During an earthquake, the ionosphere is mainly perturbed by AGW epi , acoustically induced AW Rayleigh , and tsunamis provoked IGW tsuna . Since, we observed three signals in the TEC disturbance field (i.e., two related to the earthquake rupture and the one linked to the tsunami propagation), along with the recent investigations 12 , 13 , 25 our results from seismic, geodetic and oceanic tide gauge will significantly improve the existing TEWS 24 .…”

Section: Introductionsupporting

confidence: 56%

“…2 ). The city of Coquimbo experienced massive flooding and flow height generated by a coastal harbor resonance process 25 , this fact is also demonstrated by the tsunami spectrum, which shows large energy at Coquimbo area (Fig. 2 ).…”

Section: Resultsmentioning

confidence: 84%

“…Manta et al 13 have proposed an empirical method to estimate displaced water volume during the tsunami-genesis by analyzing GPS derived AGW epi and Rakoto et al 12 proposed a quantitative method to estimate the off-shore tsunami propagation amplitude by analyzing GPS derived IGW tsuna . In the near field, Hébert et al 25 proposed an integrated technique with buoy GPS, InSAR and pressure gauges anchored on the seafloor in the deep ocean to record tsunami initiation and propagation.…”

Section: Introductionmentioning

confidence: 99%

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Tsunami detection by GPS-derived ionospheric total electron content

Shrivastava

Maurya

González

et al. 2021

Sci Rep

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To unravel the relationship between earthquake and tsunami using ionospheric total electron content (TEC) changes, we analyzed two Chilean tsunamigenic subduction earthquakes: the 2014 Pisagua Mw 8.1 and the 2015 Illapel Mw 8.3. During the Pisagua earthquake, the TEC changes were detected at the GPS sites located to the north and south of the earthquake epicenter, whereas during the Illapel earthquake, we registered the changes only in the northward direction. Tide-gauge sites mimicked the propagation direction of tsunami waves similar to the TEC change pattern during both earthquakes. The TEC changes were represented by three signals. The initial weaker signal correlated well with Acoustic Rayleigh wave (AWRayleigh), while the following stronger perturbation was interpreted to be caused by Acoustic Gravity wave (AGWepi) and Internal Gravity wave (IGWtsuna) induced by earthquakes and subsequent tsunamis respectively. Inevitably, TEC changes can be utilized to evaluate earthquake occurrence and tsunami propagation within a framework of multi-parameter early warning systems.

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Section: Introductionsupporting

confidence: 56%

Section: Resultsmentioning

confidence: 84%

Section: Introductionmentioning

confidence: 99%

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Tsunami detection by GPS-derived ionospheric total electron content

Shrivastava

Maurya

González

et al. 2021

Sci Rep

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“…In the context of global warming, these extreme events are intensifying and becoming more frequent in recent years (Stocker et al 2013;Yamazaki et al 2018 and references therein). This review paper focuses on floods and droughts and is part of a special issue on the benefits of integrating spaced-based or airborne observations in order to better predict, monitor and help in post-disaster management of natural hazards in which several themes as storm surges (Melet et al 2020), tsunamis (Hébert et al 2020), landslides (Lissak et al 2020) and fire (Pettinari and Chuvieco 2020) are investigated. Space-based or airborne Earth observation (EO) have several benefits: (1) their instruments are not affected by the events, (2) they collect consistent data at different wavelengths and over different spatio-temporal scales and (3) they cover dangerous/inaccessible areas.…”

Section: Introductionmentioning

confidence: 99%

On the Use of Satellite Remote Sensing to Detect Floods and Droughts at Large Scales

et al. 2020

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Hydrological extremes, in particular floods and droughts, impact all regions across planet Earth. They are mainly controlled by the temporal evolution of key hydrological variables like precipitation, evaporation, soil moisture, groundwater storage, surface water storage and discharge. Precise knowledge of the spatial and temporal evolution of these variables at the scale of river basins is essential to better understand and forecast floods and droughts. In this article, we present recent advances on the capability of Earth observation (EO) satellites to provide global monitoring of floods and droughts. The local scale monitoring of these events which is traditionally done using high-resolution optical or SAR (synthetic aperture radar) EO and in situ data will not be addressed. We discuss the applications of moderate-to low-spatial-resolution space-based observations, e.g., satellite gravimetry (GRACE and GRACE-FO), passive microwaves (i.e. SMOS) and satellite altimetry (i.e. the JASON series and the Copernicus Sentinel missions), with supporting examples. We examine the benefits and drawbacks of integrating these EO datasets to better monitor and understand the processes at work and eventually to help in early warning and management of flood and drought events. Their main advantage is their large monitoring scale that provides a "big picture" or synoptic view of the event that cannot be achieved with often sparse in situ measurements. Finally, we present upcoming and future EO missions related to this topic including the SWOT mission. Keywords Floods • Droughts • Large scale • Terrestrial water storage • GRACE • SMOS • Satellite altimetry • SWOT Water Storage on the Continents: General RemarksFreshwater represents less than 3% of the total amount of water on Earth. On land, freshwater is stored in various reservoirs such as ice caps, snow, glaciers, groundwater, soil moisture (in the unsaturated soil and root zone, i.e. in the upper few metres of the soil (e.g., Hillel 1998)) and surface water bodies (rivers, lakes, man-made reservoirs, wetlands and inundated areas) (Fig. 1). These different storage compartments are in direct interactions with the atmosphere. For example, in the tropical Pacific, long-term droughts and floods are under the influence of the El Niño-Southern Oscillation (ENSO) events (e.g., Ward et al. 2014; Fok et al. 2018 and references therein).

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“…The major tsunamis that followed the Sumatra earthquake (in Indonesia, Mw = 9.1) in 2004 and the Tohoku earthquake (in Japan, Mw = 9.1) in 2011 have raised the public's awareness of this specific disaster. Hébert et al (2020) prepared a review of the different challenges encountered in tsunami science and of how EO datasets improve the development of tsunami warning systems at the global scale. Another major anthropogenic hazard that impacts human health and the natural environment is pollution, in particular air and sea pollution.…”

mentioning

confidence: 99%