Difference between revisions of "UCVM Verification"
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[[File:Figure_1.png|256px|thumb|left|Fig 1: CVM-S4.26 Model Slices (Image Credit: William Eymold) ]] | [[File:Figure_1.png|256px|thumb|left|Fig 1: CVM-S4.26 Model Slices (Image Credit: William Eymold) ]] | ||
[[File:Figure_2.png |256px |thumb|center| Fig 2: CVM-S4.26 Average Profiles (Image Credit: William Eymold)]] | [[File:Figure_2.png |256px |thumb|center| Fig 2: CVM-S4.26 Average Profiles (Image Credit: William Eymold)]] | ||
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== Comparison Plotting Scripts == | == Comparison Plotting Scripts == | ||
Revision as of 04:37, 13 March 2020
Prior to release of UCVM in docker version, we are re-verifying the codebase to show that it can reproduce results from previously published papers.
Contents
Eymold Jordan JGR
- Eymold, W. K., & Jordan, T. H. ( 2019). Tectonic regionalization of the Southern California crust from tomographic cluster analysis. Journal of Geophysical Research: Solid Earth, 124, 11840– 11865. https://doi.org/10.1029/2019JB018423
CVM-S4.26 Model Description
CVM-S4.26 is a tomography improved seismic velocity model for southern California. En-Jui Lee and Po Chen started with a large 500kmx900kmx60km volume in southern California. This model is the 26th tomographic iteration from a starting CVM based on SCEC CVM-S4.
Several version of the CVM-S4.26 model were distributed by the modelers. There is an ASCII grid version with a separate file for each depth layer. There is a ASCII with all depth slices merged into a single file. There is a binary version used in UCVM. There is another ASCII version available for download from Po Chen's website.
In this exercise, the Eymold/Jordan authors used a version of CVM-S4.26 that they received directly from En-Jui Lee and develop their own tools for querying the model and calculating the average Vs profiles shown. The other profiles are extracted from the binary version of CVM-S4.26 used in UCVM v18.4.
Images from Paper
In this study, we reproduce figure 2 in this publication. This figure shows 15 CVM-S4.26 Vs profiles. Each profile is an average of 51x51 points around the point of interest. The overlay website below compare
