Simulation of space-borne tsunami detection using GNSS-Reflectometry applied to tsunamis in the Indian Ocean

Stosius, Ralf; Beyerle, G.; Helm, A.; Hoechner, A.; Wickert, Jens

doi:10.5194/nhess-10-1359-2010

Cited by 32 publications

(19 citation statements)

References 45 publications

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“…Of course, in addition to the binary information (tsunami: yes or no), sea-level data supply further information, such as wave amplitude and arrival time at the sea-level station, and consequently allow one to understand the level of emergency and to react as needed. Therefore, tsunami detection in sea-level records and retrieval of tsunami data play or should play a key role in any TWS, ) is based on the initial condition by Höchner et al (2011). which is testified also by past and recent interest and studies (Mcgehee and McKinney, 1997;Mofjeld, 1997;Okal et al, 1999;Henson et al, 2006;;Shimizu et al, 2006;Farreras et al, 2007;Casey et al, 2008;Omira et al, 2009;Šepić et al, 2009;Falck et al, 2010;Stosius et al, 2010;Beltrami, 2011;Beltrami and Di Risio, 2011;Gurgel et al, 2011).…”

Section: Introductionmentioning

confidence: 86%

Detecting the 11 March 2011 Tohoku tsunami arrival on sea-level records in the Pacific Ocean: application and performance of the Tsunami Early Detection Algorithm (TEDA)

Bressan

Tinti

2012

Nat. Hazards Earth Syst. Sci.

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Abstract. Real-time detection of a tsunami on instrumental sea-level records is quite an important task for a Tsunami Warning System (TWS), and in case of alert conditions for an ongoing tsunami it is often performed by visual inspection in operational warning centres. In this paper we stress the importance of automatic detection algorithms and apply the TEDA (Tsunami Early Detection Algorithm) to identify tsunami arrivals of the 2011 Tohoku tsunami in a real-time virtual exercise. TEDA is designed to work at station level, that is on sea-level data of a single station, and was calibrated on data from the Adak island, Alaska, USA, tide-gauge station. Using the parameters' configuration devised for the Adak station, the TEDA has been applied to 123 coastal sealevel records from the coasts of the Pacific Ocean, which enabled us to evaluate the efficiency and sensitivity of the algorithm on a wide range of background conditions and of signal-to-noise ratios. The result is that TEDA is able to detect quickly the majority of the tsunami signals and therefore proves to have the potential for being a valid tool in the operational TWS practice.

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Section: Introductionmentioning

confidence: 86%

Detecting the 11 March 2011 Tohoku tsunami arrival on sea-level records in the Pacific Ocean: application and performance of the Tsunami Early Detection Algorithm (TEDA)

Bressan

Tinti

2012

Nat. Hazards Earth Syst. Sci.

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“…As one of other offshore measurements, satellite altimetry has been well known to detect significant tsunamis (Gower 2004;Hamlington et al 2011;Song et al 2012), and its nearreal-time use has been also investigated (Hamlington et al 2012). GNSS-reflectometry using numerous GNSS satellites and LEO satellites may also be a promising technique for detecting offshore tsunamis over vast areas of ocean in a relatively short time interval (Stosius et al 2010). Real-time use of these satellite measurements and applications will hopefully be examined in the future.…”

Section: Summary and Remarksmentioning

confidence: 99%

Assessment of GNSS-based height data of multiple ships for measuring and forecasting great tsunamis

et al. 2016

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Ship height positioning by the Global Navigation Satellite System (GNSS) was investigated for measuring and forecasting great tsunamis. We first examined GNSS height-positioning data of a navigating vessel. If we use the kinematic precise point positioning (PPP) method, tsunamis greater than 10 −1 m will be detected by ship height positioning. Based on Automatic Identification System (AIS) data, we found that tens of cargo ships and tankers are usually identified to navigate over the Nankai Trough, southwest Japan. We assumed that a future Nankai Trough great earthquake tsunami will be observed by the kinematic PPP height positioning of an AIS-derived ship distribution, and examined the tsunami forecast capability of the offshore tsunami measurements based on the PPP-based ship height. A method to estimate the initial tsunami height distribution using offshore tsunami observations was used for forecasting. Tsunami forecast tests were carried out using simulated tsunami data by the PPP-based ship height of 92 cargo ships/ tankers, and by currently operating deep-sea pressure and Global Positioning System (GPS) buoy observations at 71 stations over the Nankai Trough. The forecast capability using the PPP-based height of the 92 ships was shown to be comparable to or better than that using the operating offshore observatories at the 71 stations. We suppose that, immediately after the occurrence of a great earthquake, stations receiving successive ship information (AIS data) along certain areas of the coast would fail to acquire ship data due to strong ground shaking, especially near the epicenter. Such a situation would significantly deteriorate the tsunami-forecast capability using ship data. On the other hand, operational real-time analysis of seismic/geodetic data would be carried out for estimating a tsunamigenic fault model. Incorporating the seismic/geodetic fault model estimation into the tsunami forecast above possibly compensates for the deteriorated forecast capability.

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“…In this simulation study, which is described in more detail in [10], the LEO GNSS-R satellites of a prograde Walker constellation are represented by simulated two-line elements (TLE). GNSS satellites are considered as signal sources.…”

Section: Tsunami Detection Simualationmentioning

confidence: 99%

Tsunami detection from space using GNSS Reflections: Results and activities from GFZ

Stosius

Beyerle

Semmling

et al. 2010

2010 IEEE International Geoscience and Remote Sensing Symposium

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GITEWS (German-Indonesian Tsunami Early WarningSystem) is one of the responses that were triggered by the tsunami offshore Sumatra in 2004. Since tsunamis are a global phenomenon, satellite based techniques like GNSSReflectometry (GNSS-R) are predestined as major components of future early warning systems. GNSS-R altimetry from space is expected to be applicable for tsunami detection. With a constellation of small satellites oceans could be monitored with high temporal and spatial coverage. Key components of such GNSS-R constellations are appropriate receivers. Therefore GFZ started activities related to the development of such receivers in cooperation with industry. Their performance was already successfully tested during several ground based campaigns. We review these measurements and introduce recent activities for airborne applications of GNSS-R. In addition we introduce results of a simulation study, where the tsunami detection performance of various GNSS-R micro satellite constellations was investigated for tsunami detection at the Indian Ocean and the Mediterranean.

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Simulation of space-borne tsunami detection using GNSS-Reflectometry applied to tsunamis in the Indian Ocean

Abstract: Abstract. Within the German-Indonesian

Cited by 32 publications

References 45 publications

Detecting the 11 March 2011 Tohoku tsunami arrival on sea-level records in the Pacific Ocean: application and performance of the Tsunami Early Detection Algorithm (TEDA)

Detecting the 11 March 2011 Tohoku tsunami arrival on sea-level records in the Pacific Ocean: application and performance of the Tsunami Early Detection Algorithm (TEDA)

Assessment of GNSS-based height data of multiple ships for measuring and forecasting great tsunamis

Tsunami detection from space using GNSS Reflections: Results and activities from GFZ

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