Review on Recent Progress in Near-Field Tsunami Forecasting Using Offshore Tsunami Measurements: Source Inversion and Data Assimilation

2021 ◽  
Author(s):  
Y. Wang ◽  
H. Tsushima ◽  
K. Satake ◽  
P. Navarrete
Keyword(s):  
Data Assimilation ◽  
Recent Progress ◽  
Near Field ◽  
Source Inversion ◽  
Tsunami Measurements ◽  
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 Recent Progress of the NHM-4DVAR towards a Super-High Resolution Data Assimilation

SOLA ◽  
2014 ◽  
Vol 10 (0) ◽  
pp. 145-149 ◽  
Author(s):  
Takuya Kawabata ◽  
Kosuke Ito ◽  
Kazuo Saito
Keyword(s):  
High Resolution ◽  
Data Assimilation ◽  
Recent Progress ◽  
High Resolution Data ◽  
Resolution Data

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

Far-field tsunami data assimilation for the 2015 Illapel earthquake

2019 ◽  
Vol 219 (1) ◽  
pp. 514-521 ◽  
Author(s):  
Y Wang ◽  
K Satake ◽  
R Cienfuegos ◽  
M Quiroz ◽  
P Navarrete
Keyword(s):  
Data Assimilation ◽  
Near Field ◽  
Source Parameters ◽  
Deep Ocean ◽  
Seismic Source ◽  
Far Field ◽  
Complementary Method ◽  
East Pacific ◽  
2015 Illapel Earthquake ◽  
Illapel Earthquake

SUMMARY The 2015 Illapel earthquake (Mw 8.3) occurred off central Chile on September 16, and generated a tsunami that propagated across the Pacific Ocean. The tsunami was recorded on tide gauges and Deep-ocean Assessment and Reporting of Tsunami (DART) tsunameters in east Pacific. Near-field and far-field tsunami forecasts were issued based on the estimation of seismic source parameters. In this study, we retroactively evaluate the potentiality of forecasting this tsunami in the far field based solely on tsunami data assimilation from DART tsunameters. Since there are limited number of DART buoys, virtual stations are assumed by interpolation to construct a more complete tsunami wavefront for data assimilation. The comparison between forecasted and observed tsunami waveforms suggests that our method accurately forecasts the tsunami amplitudes and arrival time in the east Pacific. This approach could be a complementary method of current tsunami warning systems based on seismic observations.

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.

scholarly journals Development of Tsunami Forecasting System Based on Offshore Tsunami Data Assimilation

2013 ◽  
Vol 69 (2) ◽  
pp. I_446-I_450
Author(s):  
Hiroaki TSUSHIMA ◽  
Yutaka HAYASHI ◽  
Kenji MAEDA ◽  
Takashi YOKOTA ◽  
Hirotaka KAWAKAMI ◽  
...  
Keyword(s):  
Data Assimilation ◽  
Tsunami Forecasting ◽  
Forecasting System
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