Aug 19, 2019

VAPOR Sample Data


ERROR
Cookies must be enabled.

Version: 1.0

VAPOR is the Visualization and Analysis Platform for Ocean, Atmosphere, and Solar Researchers. VAPOR provides an interactive 3D visualization environment that can also produce animations and still frame images. VAPOR runs on most UNIX and Windows systems equipped with modern 3D graphics cards.

VAPOR is a product of the National Center for Atmospheric Research's Computational and Information Systems Lab. Support for VAPOR is provided by the U.S. National Science Foundation and by the Korea Institute of Science and Technology Information

This dataset contains sample files of model outputs from numerical simulations that VAPOR is capable of directly reading. They are not related to each other aside from being sample data for VAPOR.

To unpack the tar.gz files on Linux/OSX, issue the command `tar -xzvf [myFile].tar.gz` on the file you've downloaded. On Windows, a program like 7-zip can perform that operation. Once unpacked, the files can be directly imported into VAPOR, or converted to VDC. For more information see the "Getting Data Into VAPOR" Related Link below.

DOI
https://doi.org/10.5065/khh0-6nko
Download Data and Documentation
2 Files, 1.2 GB Total Size

Individual Files - View, select, and download individual files from this Dataset.

Zip File - Download a ZIP file containing all files.

Python script - Download all files via Python 3, preferred for all operating systems.

Wget shell script - Download all files using Wget, preferred for Linux.

Curl shell script - Download all files via Curl, preferred for MacOS.

Related Links
VAPOR Software Home Page - VAPOR is the Visualization and Analysis Platform for Ocean, Atmosphere, and Solar Researchers. Getting Started with VAPOR - Documentation related to the use and installation of the VAPOR software. Getting Data into VAPOR - Documentation related to the using data with the VAPOR software.
GCMD Science Keywords
  • Data Analysis And Visualization
File Media Types
  • application/gzip
Support Contact
John Clyne
UCAR/NCAR - Computational and Information Systems Laboratory
clyne@ucar.edu

Data Curator
GDEX Curator
UCAR/NCAR - GDEX
datahelp@ucar.edu

Legal Constraints
Creative Commons Attribution 4.0 International License.
Access Constraints
None
Full Metadata
DIF XML
ISO19139 XML
OAI DC
JSON-LD
Version History
1.0
Authors
Clyne, John
Pearse, Scott
Li, Samuel
Jaroszynski, Stanislaw
Publisher
UCAR/NCAR - GDEX

Suggested Citation
Clyne, John, Pearse, Scott, Li, Samuel, Jaroszynski, Stanislaw. (2019). VAPOR Sample Data. Version 1.0. UCAR/NCAR - GDEX. https://doi.org/10.5065/khh0-6nko. Accessed 16 Jun 2025.
Downloads
16861
Download Volume
495.93 GB Total