Atmospheric Modeling and Analysis Research
Visualization Environment Rich Data Interpretation: VERDI
Visual Environment for Rich Data Interpretation, or VERDI, is a flexible, modular, Java-based program used for visualizing multivariate gridded meteorology, emissions, and air quality modeling data created by environmental modeling systems such as the Community Multiscale Air Quality (CMAQ) model and the Weather Research and Forecasting (WRF) model.
VERDI offers a range of options for viewing data, including:
- 2-D tile plots
- Vertical cross sections
- Scatter plots
- Line and bar time series plots
- Contour plots, vector plots
- Vector-tile plots.
Scripting capability in VERDI provides a powerful interface for automating the production of graphics for analyzing data.
VERDI was developed for the EPA by Argonne National Laboratory and is currently supported by the Community Modeling and Analysis System (CMAS) Center, which is hosted by the Institute for the Environment at the University of North Carolina at Chapel Hill and can be downloaded from the CMAS VERDI website . VERDI is an open source program and community involvement in further development is encouraged. VERDI is licensed under the Gnu Public License (GPL) version 3 and the source code is available through SourceForge . In 2008-2009, additional capabilities were added to VERDI including an alternate tile plot routine, and a real interpolation plot that provides the capability of the Watershed Deposition Tool, and the ability to display CMAQ data in polar stereographic and latitude — longitude projections.
Figure 1. VERDI tile plot of hourly surface ozone.
Figure 2. VERDI scatter plot of annual oxidized nitrogen wet deposition vs. oxidized nitrogen dry deposition.
Figure 3. VERDI time series plot of hourly surface ozone for a selected cell.
Figure 4. VERDI contour plot of hourly surface level ozone.
Contacts: Donna Scwede
- Schwede, D., N. Collier, J. Dolph, T. Howe, M. Bitz. A New Tool for Analyzing CMAQ Modeling Results: Visualization Environment for Rich Data Interpretation (VERDI). 6th Annual CMAS Conference, October 1-3, 2007, Chapel Hill, North Carolina(abstract and presentation)