The Model Evaluation Tools (MET) development team at the DTC is pleased to announce the release of a multi-component verification capability called METplus. It includes METplus version 2.0, MET version 8.0 and METviewer version 2.8. METplus is a suite of Python wrappers and ancillary scripts to enhance the user's ability to quickly set-up and run MET. METviewer is a database and display system for aggregating and plotting MET output. In the future, a user will be able to check everything out through the METplus GitHub repository. Until then, the components will need to be downloaded separately.
METplus 2.0 may be obtained on GitHub.
- A User’s Guide and Sample Data are also available on the release page.
- Major Enhancements: Standardization of .conf file setting.
- Current supported use cases and examples: Cyclone Plotter, Feature Relative, Grid-to-Grid, Grid-to-Obs, QPF, and Track_and_Intensity
MET 8.0 is available for download from the MET Users web page and available in a Docker container with set-up instructions in README.docker.txt
- A User’s Guide and Sample data are available online.
- Major Enhancements: Python embedding, observation error logic, shapefiles for masking regions, point observation format overhaul, and rotated lat/lon projections
- New Tools: Three new utilities to dump shapefile information (gis_dump_dbf, gis_dump_shp, and gis_dump_shx)
- Full details on the changes for this new version are detailed in the release notes.
- The DTC staff is working on updating the MET online tutorial. For now, please refer to the METv6.1 Online Tutorial for help with getting started.
METviewer 2.8 may be obtained on GitHub and available in a Docker container with set-up instructions in README.docker.txt
- Documentation may be found online.
- Major Enhancements: Support for MET 8.0 output
- Current Plot Templates: Time Series, Box Plot, Bar Plot, Receiver Operator Curve (ROC), Reliability Diagram, Binned Ensemble Spread-Skill, Performance Diagram, Taylor Diagram, Histogram, Economic Cost-Loss Value, 2D Contour Plots of statistics, and Scorecard.
- Full details on the changes for this new version are detailed in the release notes.
Support for US-based HPCs
Over the next week, METplus 2.0 and MET 8.0 will be installed on several US-based high performance computing platforms (e.g. Cheyenne, Jet, Theia and WCOSS) to make it more accessible to both the research and operations community. METviewer is intended to be installed on your local server. Information about the paths, modules to load, and the LD_LIBRARY_PATH needed to run these installs are available online. You can just symbolically link to the bin directory and copy over the necessary config files to your working directory.
