results and lessons learned from usarray - units.it · 2016-05-25 · ep - ldo, ep - bdo ncpa...
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Results and Lessons Learned from USArray
Frank Vernon
Scripps Institution of OceanographyUniversity of California, San Diego
AUG Rome, Italy
19 May 2016
Text
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USArray TA 2004-2015
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USArray TA May 18, 2016
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Global Seismicity
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US Seismicity
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Tomography
Before TA
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Tomography
Burdick et al. 2016
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Tomography
Burdick et al. 2008
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Tomography
Burdick et al. 2016
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TA Performance
Station noise highly uniform and
quite low for temporary
installations
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TA RT Performance
Realtime
Network
availability
typically
exceeds
98%
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Contiguous Time
Series
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Pressure Sensor Response
8
• Overlapping pass-bands provides continuous coverage from DC to 20 Hz
8
MEMS Barometer
EP - LDM
Setra Barometer
EP - LDO, EP - BDONCPA Infrasound Microphone
EP - LDF, EP - BDF
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TA InfraMet
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Squall Line Following
6/13/2013 Derecho
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6/13/2013 Derecho
U57A
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Propagating Mesoscale Convective
System - Jacques (2015)
Mesohigh/wake-low couplet
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Conclusions
• Meteorological sensors can enhance
understanding of seismic data
• Meteorological sensors can create opportunities
for collaboration between different scientific
communities
• real time monitoring
• hazards
• civil defense
• Seismic networks provide sites, permitting, real
time telemetry
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TA Basic Description
• Sensor: 3 component Broadband
seismometer & auxiliary sensors
• Datalogger & local data storage
• Power & data telemetry
6
TA Station 345A, MS
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Alaska TA May 18, 2016
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Status of TA Sites
May 2016
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Basic Description of Buried
Sensor Design for AK
• Sensor: 3 component Broadband
seismometer & auxiliary sensors
• Datalogger & local data storage
• Power & data telemetry
Stations to be in place for 3 to 5 years
N25K Seismic Station
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PFO PY Posthole
Test
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PY-TPFO Comparison
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PY-TPFO Comparison
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Sensors
• Broadband seismic coverage, 1 and 40 sps
• Two surface barometric pressure channels at 1 sps
• MEMS
• Setra 278
• Hyperion Infrasound microphone, 1 sps
• Vaisala WXT520 Weather Stations, 1 sps
• 25 sites
• 265 additional sites possible if funding found
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Lessons Learned
• Integrated system
• Sensors
• Dataloggers
• Data acquisition hardware and software
• Resiliency
•Buffering at stations
•Onsite storage
•Failover systems
• Web presentation
•Field support
•Outreach
• Leverage commercial developments
• telemetry
• IP networking
• computer hardware and operating systems
• Software
• Sustainability and operational costs
• commercially supported ( open source or closed source )
• open source ( who is responsible for support ? )
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Summary
• High Quality Data
• High data return > 99.5%
• Sensor orientation ~ 2º for 1 sigma
• Sensor calibration ~ 2% for 1 sigma
• Accurate timing across all sensors ~ 1 microsecond
• Low noise
• Continuous time series. majority of stations > 9 months
• High density spatial observations spatially unaliased in lower frequency bands
• Multidisciplinary observations
• Science Returns
• Improved seismicity observations
• Improved body wave and surface wave tomography
• Ambient noise tomography
• Back propagation for large event rupture inversion
• Atmospheric research
• Science Opportunities
• Crustal compliance from atmospheric pressure and seismic data - multi taper transfer
functions
• Develop or improve frequency domain approach to ambient noise analysis
• Multidisciplinary analysis
• ……