scholarly journals Correction to: Regional Tsunami Forecasting: Uncertainties Due to Non-uniform Slip

2021 ◽  
Author(s):  
C. Mueller ◽  
D. Burbidge ◽  
W. Power
Keyword(s):  
Tsunami Forecasting

Near-field tsunami forecasting from cabled ocean bottom pressure data

2009 ◽  
Vol 114 (B6) ◽  
Author(s):  
Hiroaki Tsushima ◽  
Ryota Hino ◽  
Hiromi Fujimoto ◽  
Yuichiro Tanioka ◽  
Fumihiko Imamura
Keyword(s):  
Near Field ◽  
Ocean Bottom ◽  
Bottom Pressure ◽  
Pressure Data ◽  
Ocean Bottom Pressure ◽  
Tsunami Forecasting

scholarly journals Bayesian near-field tsunami forecasting with uncertainty estimates

2014 ◽  
Vol 119 (4) ◽  
pp. 2201-2211 ◽  
Author(s):  
Daisuke Tatsumi ◽  
Catherine A. Calder ◽  
Takashi Tomita
Keyword(s):  
Near Field ◽  
Tsunami Forecasting ◽  
Uncertainty Estimates

scholarly journals NEAR-FIELD TSUNAMI FORECASTING BASED ON A TSUNAMI RUN-UP RESPONSE FUNCTION

2020 ◽  
pp. 5
Author(s):  
Juh-Whan Lee ◽  
Jennifer L. Irish ◽  
Robert Weiss
Keyword(s):  
Real Time ◽  
Response Function ◽  
Near Field ◽  
Coastal Communities ◽  
Tsunami Forecast ◽  
Earthquake Fault ◽  
Tsunami Forecasting ◽  
Fault Parameters ◽  
Run Up ◽  
Tsunami Run Up

Since near-field-generated tsunamis can arrive within a few minutes to coastal communities and cause immense damage to life and property, tsunami forecasting systems should provide not only accurate but also rapid tsunami run-up estimates. For this reason, most of the tsunami forecasting systems rely on pre-computed databases, which can forecast tsunamis rapidly by selecting the most closely matched scenario from the databases. However, earthquakes not included in the database can occur, and the resulting error in the tsunami forecast may be large for these earthquakes. In this study, we present a new method that can forecast near-field tsunami run-up estimates for any combination of earthquake fault parameters on a real topography in near real-time, hereafter called the Tsunami Run-up Response Function (TRRF).Recorded Presentation from the vICCE (YouTube Link): https://youtu.be/tw1D29dDxmY

scholarly journals Quasi real-time fault model estimation for near-field tsunami forecasting based on RTK-GPS analysis: Application to the 2011 Tohoku-Oki earthquake (Mw9.0)

2012 ◽  
Vol 117 (B2) ◽  
pp. n/a-n/a ◽  
Author(s):  
Yusaku Ohta ◽  
Tatsuya Kobayashi ◽  
Hiroaki Tsushima ◽  
Satoshi Miura ◽  
Ryota Hino ◽  
...  
Keyword(s):  
Real Time ◽  
Near Field ◽  
Fault Model ◽  
Model Estimation ◽  
Tsunami Forecasting ◽  
Analysis Application ◽  
Rtk Gps

scholarly journals A new multi-sensor approach to simulation assisted tsunami early warning

2010 ◽  
Vol 10 (6) ◽  
pp. 1085-1100 ◽  
Author(s):  
J. Behrens ◽  
A. Androsov ◽  
A. Y. Babeyko ◽  
S. Harig ◽  
F. Klaschka ◽  
...  
Keyword(s):  
Early Warning ◽  
Near Field ◽  
Warning System ◽  
Tsunami Warning ◽  
Accurate Estimation ◽  
Tsunami Early Warning ◽  
Arrival Times ◽  
Rigorous Approach ◽  
Tsunami Forecasting ◽  
Wave Heights

Abstract. A new tsunami forecasting method for near-field tsunami warning is presented. This method is applied in the German-Indonesian Tsunami Early Warning System, as part of the Indonesian Tsunami Warning Center in Jakarta, Indonesia. The method employs a rigorous approach to minimize uncertainty in the assessment of tsunami hazard in the near-field. Multiple independent sensors are evaluated simultaneously in order to achieve an accurate estimation of coastal arrival times and wave heights within very short time after a submarine earthquake event. The method is validated employing a synthetic (simulated) tsunami event, and in hindcasting the minor tsunami following the Padang 30 September 2009 earthquake.

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