skip to main content

DOE PAGESDOE PAGES

This content will become publicly available on February 14, 2019

Title: Interactive Visualization of Complex Seismic Data and Models Using Bokeh

Visualizing multidimensional data and models becomes more challenging as the volume and resolution of seismic data and models increase. But thanks to the development of powerful and accessible computer systems, a model web browser can be used to visualize complex scientific data and models dynamically. In this paper, we present four examples of seismic model visualization using an open-source Python package Bokeh. One example is a visualization of a surface-wave dispersion data set, another presents a view of three-component seismograms, and two illustrate methods to explore a 3D seismic-velocity model. Unlike other 3D visualization packages, our visualization approach has a minimum requirement on users and is relatively easy to develop, provided you have reasonable programming skills. Finally, utilizing familiar web browsing interfaces, the dynamic tools provide us an effective and efficient approach to explore large data sets and models.
Authors:
 [1] ;  [1] ;  [2] ;  [3]
  1. Pennsylvania State Univ., University Park, PA (United States). Dept. of Geosciences
  2. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  3. Saint Louis Univ., MO (United States). Dept. of Earth and Atmospheric Sciences
Publication Date:
Grant/Contract Number:
AC05-00OR22725; EAR-1053484; EAR-1053363
Type:
Accepted Manuscript
Journal Name:
Seismological Research Letters
Additional Journal Information:
Journal Volume: 89; Journal Issue: 2A; Journal ID: ISSN 0895-0695
Publisher:
Seismological Society of America
Research Org:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Pennsylvania State Univ., University Park, PA (United States)
Sponsoring Org:
USDOE; ORNL Laboratory Directed Research and Development (LDRD) Program; National Science Foundation (NSF)
Country of Publication:
United States
Language:
English
Subject:
58 GEOSCIENCES; 97 MATHEMATICS AND COMPUTING
OSTI Identifier:
1424454