0

Full Content is available to subscribers

Subscribe/Learn More  >

A Technique for Skeletonizing a Scalar Field Using a Critical Point Graph: Application to a Weather Simulation

[+] Author Affiliations
Kazuma Kamisawa, Akio Doi

Iwate Prefectural University, Iwate, Japan

Koji Sakai

Research Institute for Environmental Sciences and Public Health of Iwate Prefecture, Morioka-shi, Iwate, Japan

Koji Koyamada

Kyoto University, Kyoto-shi, Kyoto, Japan

Paper No. PVP2002-1533, pp. 27-34; 8 pages
doi:10.1115/PVP2002-1533
From:
  • ASME 2002 Pressure Vessels and Piping Conference
  • Computational Technologies for Fluid/Thermal/Structural/Chemical Systems With Industrial Applications, Volume 1
  • Vancouver, BC, Canada, August 5–9, 2002
  • Conference Sponsors: Pressure Vessels and Piping Division
  • ISBN: 0-7918-4659-8
  • Copyright © 2002 by ASME

abstract

We present a visualization technique which a large scale detects the structure at all scales removing from the user the responsibility of extracting information implicit in the data, and presenting the structure explicitly for analysis and retrieval. In typical scientific applications, data is represented at the nodes of a mesh of elements and interpolated linearly across the interior of the elements. A critical point exists in the gradient field of the Scalar filed. It is possible at few cost to express the Scalar field using the graph which connected the critical point. In past, we proposed a technique for calculating isosurfaces efficiently using an extrema skeleton, which consists of elements and connects all extrema points [3]. In this algorithm, extrema points in a scalar field are first extracted. A graph is then generated in which the extrema points are taken as nodes. And our work can be regarded as an extension of our original technique, because our new skeleton connects saddle points in addition to extrema points. To confirm the effectiveness of our technique, we extract features skeletons of CFD results for forecasting weather and determine linear correlation between multiple scalar variables such as wind velocity, temperature, and humidity.

Copyright © 2002 by ASME

Figures

Tables

Interactive Graphics

Video

Country-Specific Mortality and Growth Failure in Infancy and Yound Children and Association With Material Stature

Use interactive graphics and maps to view and sort country-specific infant and early dhildhood mortality and growth failure data and their association with maternal

NOTE:
Citing articles are presented as examples only. In non-demo SCM6 implementation, integration with CrossRef’s "Cited By" API will populate this tab (http://www.crossref.org/citedby.html).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In