Difference between revisions of "CVM Evaluation"

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[[File:Cvm t.png|256px|thumb|right|Fig 1: Chino Hills CVM-H AWP Surface.]]
 
[[File:Cvm t.png|256px|thumb|right|Fig 1: Chino Hills CVM-H AWP Surface.]]
An acceptance test framework to test and compare the performance of various Community Velocity Models (CVM) was designed by [http://scec.usc.edu/scecpedia/Patrick_Small Patrick Small]. This framework uses [http://cruisecontrol.sourceforge.net/ CruiseControl], a continuous integration tool and an extensible framework for creating a custom continuous build and test process for the CVMs. CruiseControl is setup on one of the SCEC development servers and can be configured to use a specific user's TeraGrid credentials. Once setup with appropriate Grid Proxy certificates, CruiseControl can remotely deploy required source code and test data on the TeraGrid resource and perform an end to end test.
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== Automated Testing Framework ==
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An automated testing framework was designed by [http://scec.usc.edu/scecpedia/Patrick_Small Patrick Small] to test and compare the performance of various Community Velocity Models (CVM). This framework uses [http://cruisecontrol.sourceforge.net/ CruiseControl], a continuous integration tool and an extensible framework for creating a custom continuous build and test process for the CVMs. CruiseControl is setup on one of the SCEC development servers and can be configured to use a specific user's TeraGrid credentials. Once setup with appropriate Grid Proxy certificates, CruiseControl can remotely deploy required source code and test data on the TeraGrid resource and perform an end to end test.
  
 
To validate this test framework,
 
To validate this test framework,

Revision as of 03:59, 24 February 2011

SCEC's CVM evaluation system is designed to show differences between currently available California CVM's. Our CVM evaluations use wave propagation simulations of moderate magnitude historical earthquakes and goodness-of-fit measurements that compare simulation waveforms (or amplitudes) to observational data.

CVM evaluations involves the following:

  1. CVM evaluations are run prior to release of new version of CVM-H, or other SCEC CVM's. Multiple CVM's are evaluated at one time, so that performance of a new CVM can be compared to existing, or prior, CVM versions.
  2. A software distribution each CVM is posted online so that it is accessible to the SCEC Community
  3. Each CVM is used to construct a velocity mesh for a 1Hz Chino Hills simulation. In the future, additional validation events may be used.
  4. The system runs a 1Hz wave propagation simulation and compares simulation results to observed seismograms for the event
  5. CVM Evaluation results, including velocity profiles, and waveform-based goodness of fit measures, are posted online for review.

Recent CVM Evaluations

CVM evaluations are typically run when new CVM's are released. In Feb, 2011, we released CVM-H v11.2, at which time, we ran CVM evaluations for three different SCEC CVM's including:

  1. CVM-H
  2. CVM-H v6.3capi
  3. CVM-S

Evaluation results for CVM-H v11.2 and other SCEC CVM's are posted here:

Wave Propagation Simulation Parameters

Specifications for the current CVM evaluation simulation are as follows:

  • input mesh volume size: 180km x 125km x 60km
  • input mesh grid spacing: 100m
  • input mesh nx,ny,nz: 1800x1250x600
  • output surface nx,ny: 900x625 (ie: decimated by factor of 2)
  • second simulated: 120 s
  • Max Vp in mesh = 8300 m/s
  • Min Vs in mesh = 500 m/s
  • sim dt: 0.006s
  • time steps in sim: 20000
  • cores used in sim: 7200

Goodness of Fit Measures

Our CVM Evaluation system uses several goodness of fit measures including bias plots comparing peak amplitudes of synthetic seismograms to amplitudes of observed seismograms across wave frequencies for seismic wave frequencies at 2 seconds periods and longer.

Fig 1: Chino Hills 1Hz GOF with CVM-4.
Fig 2: Chino Hills 1Hz GOF with CVM-6.2
Fig 3: Chino Hills 1Hz GOF with CVM6.2+GTL

Map-based Goodness of Fit

This images shows a map-based goodness of fit metric. It compares spectral acceleration from our synthetic seismograms to the observed ground motions for the Chino Hills event. The map uses a 0-100 scale with 100 a perfect fit of synthetics to observations.

Fig 4:Map-based GOF for Chino Hills CVM-S4 using 0-100 Scale
Fig 1: Chino Hills CVM-H AWP Surface.

Automated Testing Framework

An automated testing framework was designed by Patrick Small to test and compare the performance of various Community Velocity Models (CVM). This framework uses CruiseControl, a continuous integration tool and an extensible framework for creating a custom continuous build and test process for the CVMs. CruiseControl is setup on one of the SCEC development servers and can be configured to use a specific user's TeraGrid credentials. Once setup with appropriate Grid Proxy certificates, CruiseControl can remotely deploy required source code and test data on the TeraGrid resource and perform an end to end test.

To validate this test framework,

  • CruiseControl was setup on a community account on AfterShock - a SCEC development server.
  • A specific user's TeraGrid credential was linked to this account.
  • CruiseControl was configured to run a build and test job on Kraken - a TeraGrid resource.
  • At the specified time CruiseControl,
- Transferred all the required build scripts and source data to Kraken.
- Necessary source code was checked out from SVN by the build scripts.
- The CVM code was built and required mesh was extracted.
- The wave propagation code was built and run by script.
- The generated synthetic waveforms (seismogram) data was collected and plotted.
- The synthetic waveform data was compared to the observed waveform data and goodness-of-fit (GOF) curves were plotted.
- A HTML page was generated by an automated script to summarize the test results.
Fig 2: Chino Hill CVM-H GoF.

A set of test results generated by Patrick can be found here: http://earth.usc.edu/~patrices/cvm-t/

An example test result page can be found here: Simulation of Chino Hills (Filtered) event at 1Hz with material properties provided by CVM-H

Fig 3: TeraGrid - Kraken.

Related Entries

See Also