Developmental Testbed Center

MET development images used for testing

Images for data volumes to test METplus development on the develop and feature branches.

DTC's Common Community Physics Package (CCPP) Single Column Model (SCM)

Output "truth" data from MET unit tests used to compare to new test output

These are versioned, production ready, latest standard images.

Data used for MET development tests

METplus image that includes MET, METplus wrappers, METdataio, METcalcpy, and METplotpy.

Python scripting infrastructure for MET tools. Use tags named X.Y-latest or X.Y.Z.

Model Evaluation Tools for Numerical Weather Prediction Forecast Verification

Contains external dependencies needed to build the MET and run the MET unit test suite.

Contains external dependencies needed to build the MET C++ applications

Development versions of METviewer used for testing

Environments that can be used to run METplus use cases that require additional dependencies.

A Docker image of METviewer that can easily be pulled into Apptainer.

Images for data volumes used to run METplus examples for tagged releases.

A Docker image of METviewer that can easily be pulled into Singularity.

Environment for METplus training modules

Model Evaluation Tools used in DTC's NWP containers

Weather Research and Forecast preprocessor and model

Unified Post-Processor

Gridpoint Statistical Interpolation data assimilation

Metviewer container for container-dtc-nwp workflow

Base image for container-dtc-nwp that sets the correct UID

Necessary Python3 packages for plotting GRIB2 model output