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An application to explore/analyze data for atmosphere component for E3SM

Project description

QuickView

Test Release Package PyPI Conda Version

EAM QuickView is an open-source, interactive visualization tool designed for scientists working with the atmospheric component of the Energy Exascale Earth System Model (E3SM), known as the E3SM Atmosphere Model (EAM). Its Python- and Trame-based Graphical User Interface (GUI) provides intuitive access to ParaView's powerful analysis and visualization capabilities, without the steep learning curve.

Application

Key Features

  • Intuitive, minimalist interface tailored for atmospheric modeling.
  • Multi-variable visualization with drag-and-drop layout.
  • Persistent sessions - pick up where you left off.
  • Support for EAM v2, v3, and upcoming v4 output formats.

Quick Start

  • Install and launch the app for end users or app developers.
  • Download connectivity files of EAM's cubed-sphere grids from Zenodo.
  • Optional: download sample simulation output to test the app.
  • For EAMv2 and v3 developers and users: if your simulation data files are not the original files written out by the model, i.e., if your files were generated by NCO, CDO, etc. check QuickView's data format requirements.
  • For EAMxx developers and users: EAMxx's most recent output format changes might not have been accommodated. If your run into problems opening your data files, please check the Issues tab on GitHub and open a new issue if needed.

More detailed descriptions of how to download, install, and use QuickView can be found in the documentation.

Project Background

QuickView is developed by Kitware, Inc. in collaboration with Pacific Northwest National Laboratory, supported by the U.S. Department of Energy's ASCR and BER programs via SciDAC.

Contributors

  • Lead Developer: Abhishek Yenpure (Kitware, Inc.)
  • Key Contributors: Berk Geveci, Sebastien Jourdain (Kitware, Inc.); Hui Wan, Kai Zhang (PNNL)

License

Apache Software License - see LICENSE file for details.

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Semantic release rely on conventional commits to generate new releases and changelog.

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