VAPOR - 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. The VAPOR Data Collection (VDC) data model allows users to progressively access the fidelity of their data, allowing for the visualization of terascale data sets. VAPOR can also directly import data formats including WRF, MOM, POP, ROMS, and some GRIB and NetCDF files.

Users can perform ad-hoc analysis with VAPOR's interactive Python interpreter; which allows for the creation, modification, and visualization of new variables based on input model data.

To Access Resource:

Questions? Email Resource Support Contact:

  • John Clyne
    clyne@ucar.edu
    Computational and Information Systems Laboratory

Resource Type software
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Related Links

VAPOR Sample Data : Sample files of model outputs from numerical simulations

VAPOR: A Visualization Package Tailored to Analyze Simulation Data in Earth System Science : Atmosphere 10, no. 9: 488

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Legal Constraints

https://www.docs.vapor.ucar.edu/licenseAndCitation.html


Access Constraints none
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Resource Support Name John Clyne
Resource Support Email clyne@ucar.edu
Resource Support Organization Computational and Information Systems Laboratory
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Metadata Contact Name DASH Repository Curator
Metadata Contact Email datahelp@ucar.edu
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Author Shaomeng Li
Stanislaw Jaroszynski
Scott Pearse
Leigh Orf
John Clyne
Publisher UCAR/NCAR - Computational and Information System Laboratory
Publication Date 2020-02-02
Digital Object Identifier (DOI) https://doi.org/10.5065/d6j38qhc
Alternate Identifier VAPOR
Resource Version 3.2.0
Topic Category climatologyMeteorologyAtmosphere
Progress onGoing
Metadata Date 2020-08-11T14:21:05
Metadata Record Identifier fb436df8-7218-49e9-adc8-bf973f8ae30d
Metadata Language eng
Suggested Citation Shaomeng Li, Stanislaw Jaroszynski, Scott Pearse, Leigh Orf, John Clyne. (2020). VAPOR - the Visualization and Analysis Platform for Ocean, Atmosphere, and Solar Researchers. 3.2.0. UCAR/NCAR - Computational and Information System Laboratory. https://doi.org/10.5065/d6j38qhc. Accessed 15 July 2024.

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