Foreword: A note to METplotpy users
This User’s Guide is provided as an aid to users of METplotpy. METplotpy contains packages for plotting in METplus as stand-alone, or part of METplus use case, METplus wrappers, METexpress, or METviewer. It is also a component of the unified METplus verification framework. More details about METplus can be found on the METplus website.
It is important to note here that METplotpy is an evolving software package. This documentation describes the develop release dated 2022-03-11. Intermediate releases may include bug fixes. METplotpy is also able to accept new modules contributed by the community. If there is code you would like to contribute, we will gladly consider your contribution. Please create a post in the METplus GitHub Discussions Forum. We will determine if we will be able to include the contribution in a future version.
Copyright 2022, UCAR/NCAR, NOAA, CSU/CIRA, and CU/CIRES Licensed under the Apache License, Version 2.0 (the “License”); You may not use this file except in compliance with the License.
You may obtain a copy of the License at
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an “AS IS” BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
The citation for this User’s Guide should be:
Win-Gildenmeister, M., T. Burek, H. Fisher, D. Adriaansen, C. Kalb, D. Fillmore, T. Jensen and L. Goodrich, 2022: The METplotpy Version develop User’s Guide. Developmental Testbed Center. Available here.
We thank all of the METplus sponsors including: Developmental Testbed Center (DTC) partners (NOAA, NCAR, USAF, and NSF), along with NOAA/Office of Atmospheric Research (OAR), NOAA/National Weather Service, NOAA/Joint Technology Transfer Program (JTTI), NOAA/Subseasonal to Seasonal (S2S) Project, NOAA/Unified Forecast System Research to Operations Project (UFS R2O), Met Office and the Naval Research Laboratory (NRL). Thanks also go to the staff at the DTC for their help, advice, and many types of support. Finally, the National Center for Atmospheric Research (NCAR), sponsored by National Science Foundation.
- 1. Installation
- 2. Line Plot
- 3. Box plot
- 4. Bar plot
- 5. Difficulty Index Plot
- 6. Economic Cost/Lost Value (ECLV) Plots
- 7. Ensemble spread-skill plot
- 8. Contour Plots
- 9. Performance Diagram
- 10. Reliability Diagram
- 11. ROC diagram
- 12. Histogram Plots
- 13. Histogram_2d plot
- 14. S2S Blocking plot
- 15. Weather Regime plot
- 16. Hovmoeller Plot
- 17. Spacetime (Cross-spectra) Plot
- 18. MJO Plots
- 19. Taylor Diagram
- 20. TC-RMW Cross-section Plot
- 21. Stratosphere Diagnostics Plots
- 22. Polar Ice Plot
- 23. Wind Rose Diagram
- 24. METplotpy develop Release Notes
- 25. References