8th International Workshop on Remote Sensing for Disaster Management Tokyo, 30 September, 2010 Session: 2010 Chile earthquake Detection of the 2010 Chile earthquake tsunami Detection of the 2010 Chile earthquake tsunami from satellite altimetry Yutaka HAYASHI 1 Norihisa USUI 2 Masafumi KAMACHI 2 Yutaka HAYASHI 1 , Norihisa USUI 2 , Masafumi KAMACHI 2 , 1 Seismology and Volcanology Research Dep., Meteorological Research Institute, Japan Meteorological Agency (MRI, JMA) 2 Oceanographic Research Dep., MRI, JMA and Shunichi KOSHIMURA 3 3 Graduate School of Engineering, Tohoku Univ. 1 /20
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Detection of the 2010 Chile earthquake tsunami from … International Workshop on Remote Sensing for Disaster Management Tokyo, 30 September, 2010 Session: 2010 Chile earthquake Detection
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8th International Workshop on Remote Sensing for Disaster ManagementTokyo, 30 September, 2010
Session: 2010 Chile earthquake
Detection of the 2010 Chile earthquake tsunami Detection of the 2010 Chile earthquake tsunami from satellite altimetry
Yutaka HAYASHI1 Norihisa USUI2 Masafumi KAMACHI2 Yutaka HAYASHI1, Norihisa USUI2, Masafumi KAMACHI2, 1 Seismology and Volcanology Research Dep., Meteorological Research Institute,
Japan Meteorological Agency (MRI, JMA)2 Oceanographic Research Dep., MRI, JMA
andShunichi KOSHIMURA3Shunichi KOSHIMURA
3 Graduate School of Engineering, Tohoku Univ.
1 /20
Motivation: Is it possible to monitor/findMotivation: Is it possible to monitor/find tsunami from the space?
Operating agencies routinely process data to reduce noisesreduce noises
Raw data involve noises caused byyOcean tidesAir pressureOffsets of each satellite reduced by routine processingOffsets of each satelliteGeoid locality, etc.
3 Advanced method to extract tsunami signals from3. Advanced method to extract tsunami signals from satellite altimetry dataA) Methods: Multi-satellite time-spatial interpolationB) Results: 2004 Indian Ocean tsunami profiles along 5 satellite tracks
10 /20
Travel time of the 2010 Chile earthquake tsunami, and altimeter-equipped satellite tracks
11 /20
Sea level anomaly difference calculated by using near real-time data (IGDR) of Jason-2
Near tsunami front (S5-N5) ~0 1m along satellite track (by model of Tohoku Univ )0.1m along satellite track (by model of Tohoku Univ.)Tsunami + shift of oceanographical circulation with long wavelength ?
Snapshot of tsunami propagationSnapshot of tsunami propagation modeled by Tohoku Univ.
12 /20
Advanced method to extract tsunami signals from satellite altimetry data
1. Introduction, BackgroundsA) Satellite altimetryB) 2004 Indian Ocean tsunami detected by altimetry
Comparison of two methods2004 Indian Ocean Tsunami
Difference of two cycles
Multi-satellite time-spatial interpolation
Tracks include tsunami signals 2 (TOPEX/Poseidon 5 (T/P J1 ENVISATTracks include tsunami signals 2 (TOPEX/Poseidon, Jason-1)
5 (T/P, J1, ENVISAT, GFO×2)
Number of valid sampling J-1 356/
412points T/P 88 285Accuracy of data more than 7-10 cm
(RMSE)4-5cm
Necessary period to makereference sea level
2~3 days 5~10 month
Time-spatial interpolation method :Advantage e g ±30days
Time-spatial interpolationg
• accurate• potential of small tsunami detection
Disadvantage
futurepast
1 cycle
e.g. ±30days
DifferenceDifference
• too late to useObservation date used to define reference height, and date of tsunami
1 cycle
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Summary
The multi-satellite time-spatial interpolation method effectively reducedThe multi satellite time spatial interpolation method effectively reduced the oceanographical backgrounds in the SLA data of 2004 Indian Ocean tsunami.
2010 Chile earthquake tsunami is a bit small to be discussed by “rapid and less-accurate method” (difference of two cycles).By our current best method “slow and accurate” ( lti t llit ti ti lBy our current best method “slow and accurate” (multi-satellite time-spatial
interpolation), it takes many months to extract signals from altimetry data.
More advanced “rapid and accurate” method is necessaryfor the purpose of monitoring tsunamifor the purpose of monitoring tsunami.