Transcript Maggi Glasscoe Presentation

Using QuakeSim Tools with
GoogleEarth to explore earthquakes
Eyes in the Sky II Workshop
Jet Propulsion Laboratory
Maggi Glasscoe
Solid Earth Group
12 July 2010
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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
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
Multiple fault model segment geometry

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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
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Statistical Analysis of Virtual California Data
•
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

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
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Analysis shows that events on
the Eastern California Shear
Zone typically precede, but do
not follow events on the
southern San Andreas fault
Earthquake Data Enhanced Cyber-Infrastructure for Disaster
Evaluation and Response
(E-DECIDER)
E-DECIDER will provide decision support for earthquake disaster management
and response utilizing NASA remote sensing data and modeling software
E-DECIDER will deliver web-based infrastructure designed
for ease-of-use by decision makers, including:
Map and
modeling tools
•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
UAVSAR
images
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end
users
DESDynI: Mission Goals and Objectives
Determine the likelihood of earthquakes, volcanic eruptions,
and landslides
US annualized losses from earthquakes are $4.4B/yr yet current hazard
maps have an outlook of 30–50 years over hundreds of square kilometers.
Characterize the effects of changing climate and land use on
species habitats and carbon budget
The 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
Application
[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.
Monitor the migration of fluids associated with
hydrocarbon production and groundwater resources
Management of our hydrological resources is applicable to every state
in the union.
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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
•
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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Geophysical Sensor Web
and understand the earthquake process
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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End-to-End Flow
Data
DESDynI
InSAR Data
HPC Processing
Center
QuakeSim Portal
Fault Data
Interferograms
Desktop Computer
GPS Data
Supercomputer
Seismicity Data
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Modeling
and Analysis
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
Virtual California
GeoFEST
Disloc
Simplex
RIPI
RDAHMM
Purpose
Interacting fault
model
Finite element
deformation model
Surface
displacements from
fault motion
Inversion for fault
motion from
deformation data
Seismic pattern
analysis
Time series
analysis
Data Source
Compared To
Faults, friction
Earthquakes
Faults
GPS and InSAR
surface deformation
GPS and InSAR
surface deformation
Faults
InSAR and GPS
Fault data constrain
surface deformation model
Seismicity
Earthquake faults
GPS
Earthquake, aquifer
sources
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Thanks to…
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
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