1 eyes in the sky ii workshop jet propulsion laboratory maggi glasscoe solid earth group 12 july...
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Eyes in the Sky II Workshop
Jet Propulsion Laboratory
Maggi GlasscoeSolid Earth Group
12 July 2010
Using QuakeSim Tools with GoogleEarth to explore
earthquakes
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About Me
• Scientist in Solid Earth group since 2004• Bachelor of Arts in Print Journalism, Bachelor of Science in
Geological Sciences, Master of Science in Geology, currently completing a PhD in Geology
• Research focused on long-term effects of earthquakes, fault interactions, and the mechanical behavior of the crust
• Study areas include the San Francisco Bay area (specifically the 1906 earthquake), the Los Angeles Basin, the Ventura Basin and the Eastern California Shear Zone
• Current projects include QuakeSim, E-DECIDER (Earthquake Data Enhanced Cyber-Infrastructure for Disaster Evaluation and Response), and DESDynI (Deformation, Ecosystem Structure, and Dynamics of Ice)
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1906 Earthquake Modeling
Multiple fault model segment geometry Multiple fault model mesh Multiple segment SAF model mesh
The QuakeSim tools and portal are being utilized to investigate the effects of large earthquakes over time
Large-scale simulations are using portal tools, QuakeSim codes, and supercomputing time on Project Columbia in order to produce model results that enhance our understanding of the earthquake process
More complex (realistic) models show postseismic effects of the 1906 earthquake of 1 mm/yr rather than the 2–5 mm/yr for the less complex models
The QuakeSim tools and portal are being utilized to investigate the effects of large earthquakes over time
Large-scale simulations are using portal tools, QuakeSim codes, and supercomputing time on Project Columbia in order to produce model results that enhance our understanding of the earthquake process
More complex (realistic) models show postseismic effects of the 1906 earthquake of 1 mm/yr rather than the 2–5 mm/yr for the less complex models
Model geometry for complex 1906 earthquake postseismic deformation models featured the use of QuakeSim portal tools in order to generate initial and subsequent meshes for input into GeoFEST viscoelastic simulation software
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Statistical Analysis of Virtual California Data
Log of correlation score matrix 400 yr time window. Raw score matrix is saturated at values around zero, so a log function is applied to highlight interesting features. Analysis above features 59 faults (639 elements) and does not include the “creeping” section of the San Andreas fault because of computational considerations
• Virtual California produces a very large synthetic seismic record
Systematic observations over a long time period provide an opportunity to observe emergent behavior and fault interactions in the system
• We examine 40,000 years of VC data and apply our method to calculate the correlation of events on an “initiating” fault segment with subsequent events on a second fault element
• The analysis produces a correlation score matrix that shows the relative amount of correlation between events on two elements
• Analysis has been expanded to include processing of data at different time window lengths
• Examining correlation score matrices at different time window lengths can provide insight into the relationships between faults at different time scales
Analysis shows that events on the Eastern California Shear Zone typically precede, but do not follow events on the southern San Andreas fault
Analysis shows that events on the Eastern California Shear Zone typically precede, but do not follow events on the southern San Andreas fault
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Earthquake Data Enhanced Cyber-Infrastructure for Disaster Evaluation and Response
(E-DECIDER)
E-DECIDER will deliver web-based infrastructure designed for ease-of-use by decision makers, including:
•Rapid and readily accessible UAVSAR interferograms after earthquakes (as well as before)
•Standards-compliant map data products
• Deformation modeling and earthquake forecasting results
The decision support tools will be developed working in partnership with end users in first response and disaster management agencies, including:
– USGS
– California Geological Survey
– California Office of Emergency Services
E-DECIDER will provide decision support for earthquake disaster management and response utilizing NASA remote sensing data and modeling software
end usersend
users
UAVSAR images
Map andmodeling tools
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DESDynI: Mission Goals and Objectives
Determine the likelihood of earthquakes, volcanic eruptions, and landslidesUS annualized losses from earthquakes are $4.4B/yr yet current hazard maps have an outlook of 30–50 years over hundreds of square kilometers.
Determine the likelihood of earthquakes, volcanic eruptions, and landslidesUS annualized losses from earthquakes are $4.4B/yr yet current hazard maps have an outlook of 30–50 years over hundreds of square kilometers.
Monitor the migration of fluids associated with hydrocarbon production and groundwater resourcesManagement of our hydrological resources is applicable to every state in the union.
Monitor the migration of fluids associated with hydrocarbon production and groundwater resourcesManagement of our hydrological resources is applicable to every state in the union.
Characterize the effects of changing climate and land use on species habitats and carbon budgetThe rate of increase [of atmospheric CO2] over the past century is unprecedented, at least during the past 20,000 years. The structure of ecosystems is a key feature that enables quantification of carbon storage.
Characterize the effects of changing climate and land use on species habitats and carbon budgetThe rate of increase [of atmospheric CO2] over the past century is unprecedented, at least during the past 20,000 years. The structure of ecosystems is a key feature that enables quantification of carbon storage.
Predict the response of ice sheets to climate change and impact on sea level[Ice sheets and glaciers] are exhibiting dramatic changes that are of significant concern for science and international policy. These indicators of climate remain one of the most under-sampled domains in the system.
Predict the response of ice sheets to climate change and impact on sea level[Ice sheets and glaciers] are exhibiting dramatic changes that are of significant concern for science and international policy. These indicators of climate remain one of the most under-sampled domains in the system.
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QuakeSim Background - http://www.quakesim.org
• QuakeSim is a project to develop a
solid Earth science framework for
modeling and understanding
earthquake and tectonic processes
• The multi-scale nature of earthquakes requires
integrating many data types and models to fully
simulate and understand the earthquake process
• QuakeSim focuses on modeling the
interseismic process through
various boundary element, finite
element, and analytic applications,
which run on various platforms
including desktop and high end
computers
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QuakeSim Environment
• Objectives– Solid Earth science framework for modeling and understanding
• Goal toward improved earthquake forecasting
– Make NASA crustal deformation and seismic and geologic data and various earthquake simulation models available to the broader earthquake science community
– Provide infrastructure for UAVSAR and other missions (e.g. DESDynI)
• Impacts– Provides analysis infrastructure for
• GPS Networks (Plate Boundary Observatory, SCIGN, BARD)• UAVSAR• International SAR missions
– Tools for science definition and mission design (e.g. DESDynI)• Repeat interval analysis• Mission duration analysis
– Improved understanding of earthquakes
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QuakeSim Portal
Data
End-to-End Flow
Fault Data
Interferograms
GPS Data
Seismicity Data
HPC Processing Center
Desktop Computer
Supercomputer
DESDynI InSAR Data
Modeling and Analysis
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QuakeSim Capabilities
• Optimized use of spaceborne crustal deformation for studying earthquake fault systems
• Federated databases of different data sources– Fault– GPS– InSAR
• Data access through– High performance computing software– Web and grid services
• Efficient ingestion of spaceborne InSAR and UAVSAR data into geophysical models– Can be run over the compute grid
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Applications
Application Purpose Data Source Compared To
Virtual California
Interacting fault model
Faults, friction Earthquakes
GeoFEST Finite element deformation model
Faults GPS and InSAR surface deformation
Disloc Surface displacements from fault motion
Faults GPS and InSAR surface deformation
Simplex Inversion for fault motion from deformation data
InSAR and GPS surface deformation
Fault data constrain model
RIPI Seismic pattern analysis
Seismicity Earthquake faults
RDAHMM Time series analysis
GPS Earthquake, aquifer sources
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Name Institution
Jun Ji Indiana University For creating the fabulous tutorial movie and providing support for the demo
Xiaoming Gao Indiana University For the wonderful RDAHMM kml movie generator and providing support for the demo
Marlon Pierce Indiana University For creating the training accounts and providing support for the demo
Andrea Donnellan Jet Propulsion Laboratory QuakeSim Principal Investigator
Thanks to…