a coupled teleseismic ocean-general-circulation- model ......model system for global tsunami warning...
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A Coupled Teleseismic OceanA Coupled Teleseismic Ocean--GeneralGeneral--CirculationCirculation--Model System for Global Tsunami WarningModel System for Global Tsunami Warning
Y. Tony Song
Jet Propulsion Laboratory, California Institute of Technology
Contents:
1. Tsunami formation theory
2. Methodology of seismic prediction
3. 26 Dec 2004 & 28 Mar 2005 Tsunamis
4. Summary
Contributors:
L.-L. Fu & Victor Zlotnicki (NASA JPL)
Chen Ji & Vala Hjorleifsdottir (SeismoLab, Caltech)
C.K. Shum & Y. Yi (Ohio State University)
Tony Song, January 2006
Facts: Too Many False AlarmsFacts: Too Many False Alarms
•• A strong earthquake does not necessarily results in a A strong earthquake does not necessarily results in a proportionally strong tsunami.proportionally strong tsunami.
July 1998 New Guinea M7.5; 15m runJuly 1998 New Guinea M7.5; 15m run--up and 2,000 fatalitiesup and 2,000 fatalities
March 2005 N. Sumatra M8.7; 2m runMarch 2005 N. Sumatra M8.7; 2m run--up and 100 fatalities, due to evacuationup and 100 fatalities, due to evacuation
June 2005 Northern California M7.1; triggered a tsunami alert; nJune 2005 Northern California M7.1; triggered a tsunami alert; no tsunamio tsunami
•• Without knowing Without knowing how tsunamis form from earthquakeshow tsunamis form from earthquakes, it , it would be impossible to predict a tsunami precisely.would be impossible to predict a tsunami precisely.
• For a long time, it has been believed that the under earthquakes that involve a significant vertical motion are more effective in generating tsunamis than those that primarily horizontal motion (Pond & Pichard 1983; Satake 1995). The old theory is wrong!
Tony Song, January 2006
Earthquake Fault & Topography
−4
−3
−2
−1
90E 92E 94E 96E 98E Eq
5N
10N
15N(a) Topography
92E 93E 94E 95E 96E−5
−4
−3
−2
−1
0
Dep
th (
km)
Longitude
(b) Section 5oN
Slip
4 km
3 km
2 km 1 km
Vertical motions
Lateral motion
Mega tsunamis are caused by horizontal motions of continental slopes!
Tony Song, January 2006
Ocean Bottom Pressure
TOPEX/Poseidon
Sea Surface Height
Ocean
Data used in this studyData used in this study
(1)(1) The Global Seismographic The Global Seismographic Network gives the seismic Network gives the seismic waves generated by the waves generated by the undersea earthquake.undersea earthquake.
(2)(2) Satellite radar altimeters Satellite radar altimeters measure the seameasure the sea--surface surface waveswaves——tsunami, caused by tsunami, caused by the seafloor motionsthe seafloor motions
(3)(3) Tide gauges record shallow Tide gauges record shallow waves or runwaves or run--up to up to beachesbeaches
∫−=ζ
ρhb dzgP
Tude gauges
Tony Song, January 2006
Method 1Method 1: Seismic Waveform Inversion: Seismic Waveform Inversion
[ ] )(),()sin(),()cos()( 21
1 1
tStVYtVYDtu jkjkjkjkjkjkjk
n
j
n
kjk λλ += ∑∑
= =
Dynamical seafloor deformationDynamical seafloor deformation
90E 92E 94E 96E 98E
2N
4N
6N
8N
10N
12N
14N(a) Displacement
20 m
−2 −1 0 1 2
90E 92E 94E 96E 98E
2N
4N
6N
8N
10N
12N
14N(b) Topography
−5 −4 −3 −2 −1
meter km
•GPS measurements from C. Vigny (Nature 2005)•Fault area survey by British Navy (K. Moran)
Tony Song, January 2006
Method 2Method 2: Deriving tsunami source energy: Deriving tsunami source energy
Seismic data inverted 3D seafloor motions: (u, n, e)—upward, northward and eastward fault displacement
Vertical uplift: Horizontal displacement:
yx nhehu ++=∆η ))(,)((),( nzezvu yxbb δδ=at sea-surface within the bottom layer of z < LHhx
Tsunami kinetic energy:
KE=2.1 x 1015 Joule
Amp=70%
Tsunami potential energy:
PE=5.4 x 1014 Joule
Amp=30%
Tony Song, January 2006
Method 3: Ocean Models with Bottom-Layer Forcing
1. S-coordinate (Song&Haidvogel 1994):
)()()1( sChHshsz cc −+++=ζ
ROMSSCRUM/ (Boussinesq)
2. Sp-coordinate (Song&Hou 2005):
)()()()1( 0' sCppsppspp cbcbs −−+−+=
Ocean-bottom-pressure model (non-Boussinesq)
Three-dimensional seafloor motions are applied
Tony Song, January 2006
Prediction system: Seismograph to Tsunami Waves
[ ] )(),()sin(),()cos()( 21
1 1
tStVYtVYDtu jkjkjkjkjkjkjk
n
j
n
kjk λλ += ∑∑
= =
Bottom-pressure coupling
1
2
3
Tony Song, January 2006
Validations by Satellites and Tide-Gauges
Asymmetric “N-Waves”•Leading depression waves toward Thailand•Leading elevation waves toward Sri Lanka
70E 80E 90E 100E 110E20S
10S
Eq
10N
20N
30N
Jason
(a) 2:00 hrs after quake
70E 80E 90E 100E 110E20S
10S
Eq
10N
20N
30N
Envisat
(b) 3:10 hrs after quake
10S 5S Eq 5N 10N 15N 20N−60
−40
−20
0
20
40
60
80(c) Jason track Jason data
Model:
20S 10S Eq. 10N 20N−30
−20
−10
0
10
20
30
40
SS
H (
cm)
(d) Envisat track Envisat data
Model:
26.1 26.2 26.3
Male
Gan
Hanima
Belawan
Sibolga
prop
agat
ing
wes
twar
d
pro
paga
ting
east
war
d
(a) Vertical only
26.1 26.2 26.3
Male
Gan
Hanima
Belawan
Sibolga
(b) Vertical & Horizontal
Dec Dec
2 m
Data
Model
Data
Model
Recedingfirst
Elevatingfirst
Tony Song, January 2006
Seismic Prediction of 28 March 2005
The horizontal slip has occurred in the shallow and relatively flat region; therefore, it is ineffective for generating long waves.
Tony Song, January 2006
0.5
1
1.5
2
2.5
3
3.5
4
4.5
95E 97E 99EEQ
1N
2N
3N
4N
T=300 sec
a) Horizontal slip
1m/s−100
−50
0
50
100
95E 97E 99EEQ
1N
2N
3N
4N
T=300 sec
b) Vertical uplift (cm)
−30
−20
−10
0
10
20
30
70E 80E 90E 100E15S
5S
5N
15N
25N
*Male
c) 28 Mar tsunami (slip & uplift)
2h 4h 6h 8h
−20
20−100
0
100
26 Dec04
28 Mar05
Res
idua
l (cm
)
d) Tide at Male
km
Data
Model
Conclusion RemarksConclusion RemarksEvidence from seismometers, satellite altimeters, and tide gaugeEvidence from seismometers, satellite altimeters, and tide gauges suggests that s suggests that
horizontal motionshorizontal motions of faulting are the main cause of the Indian Ocean of faulting are the main cause of the Indian Ocean tsunami. The vertical uplift accounts for only 30% of the tsunamtsunami. The vertical uplift accounts for only 30% of the tsunami height.i height.
Implications:Implications:1.1. Movement of continental marginsMovement of continental margins, rather than the local vertical uplift of , rather than the local vertical uplift of
seafloorseafloor, should be the focus of tsunami observation and prediction., should be the focus of tsunami observation and prediction.
2.2. Many Many remoteremote--sensingsensing technologies (e.g., GPS), combining with the technologies (e.g., GPS), combining with the proposed methodology, become useful for tsunami detection.proposed methodology, become useful for tsunami detection.
3.3. Seismic predictionSeismic prediction of tsunamis is feasible: Based on JPLof tsunamis is feasible: Based on JPL’’s supercomputer, s supercomputer, the coupled earthquakethe coupled earthquake--tsunami modeling system is going to connect to the tsunami modeling system is going to connect to the globalglobal--seismographicseismographic--network. network.
Song et al., Song et al., GRLGRL, , 3232, doi:10.1029/2005GL023683 (2005)., doi:10.1029/2005GL023683 (2005).
Song et al., Horizontal motions of faulting dictate the 26 DecemSong et al., Horizontal motions of faulting dictate the 26 December tsunami (submitted to ber tsunami (submitted to NatureNature).).
Tony Song, January 2006