Deep Water Impact Ensemble Data Set
Abstract
Asteroids of various sizes, speeds, and compositions are zipping around the solar system with potential future Earth engagements. Most of the earth is covered in ocean and impacts would likely occur in deep ocean water. The IEEE SciVis Contest 2018 is dedicated to the visualization and analysis of simulations designed to study asteroid impacts in deep ocean water.
- Authors:
-
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- Publication Date:
- Other Number(s):
- LA-UR-17-21595
- DOE Contract Number:
- 89233218CNA000001
- Research Org.:
- Los Alamos National Laboratory (LANL)
- Sponsoring Org.:
- USDOE National Nuclear Security Administration (NNSA)
- Subject:
- "asteroid impact" meteor "in situ" visualization; 79 ASTRONOMY AND ASTROPHYSICS; 97 MATHEMATICS AND COMPUTING
- OSTI Identifier:
- 2588620
- DOI:
- https://doi.org/10.25583/2588620
Citation Formats
Patchett, John M., and Gisler, Galen Ross. Deep Water Impact Ensemble Data Set. United States: N. p., 2017.
Web. doi:10.25583/2588620.
Patchett, John M., & Gisler, Galen Ross. Deep Water Impact Ensemble Data Set. United States. doi:https://doi.org/10.25583/2588620
Patchett, John M., and Gisler, Galen Ross. 2017.
"Deep Water Impact Ensemble Data Set". United States. doi:https://doi.org/10.25583/2588620. https://www.osti.gov/servlets/purl/2588620. Pub date:Tue May 02 04:00:00 UTC 2017
@article{osti_2588620,
title = {Deep Water Impact Ensemble Data Set},
author = {Patchett, John M. and Gisler, Galen Ross},
abstractNote = {Asteroids of various sizes, speeds, and compositions are zipping around the solar system with potential future Earth engagements. Most of the earth is covered in ocean and impacts would likely occur in deep ocean water. The IEEE SciVis Contest 2018 is dedicated to the visualization and analysis of simulations designed to study asteroid impacts in deep ocean water.},
doi = {10.25583/2588620},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue May 02 04:00:00 UTC 2017},
month = {Tue May 02 04:00:00 UTC 2017}
}
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