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Visualization Environment for Rich Data Interpretation (VERDI)
A visual analysis tool for evaluating and plotting gridded air quality model results
Layer 1 03[1]
ll]=hlstory 2015-10-08.nc
Longitude
October 08, 2015 20:00:00 UTC
Min (9.058, 51.406) = 6 . Max ( 89.848, 30.179) = 302
What is VERDI?
The Visualization Environment for
Rich Data Interpretation (VERDI) is a
software program for analyzing and
visualizing outputs from
meteorological and air quality
models, making it easier to
understand and explain these
multivariate gridded results. Because
VERDI is written in open-source
Java, it can run on a variety of
computer operating systems (i.e.,
Linux, 64-bit Windows, and Mac).
VERDI can ingest results from several
models, including the Community
Multiscale Air Quality (CMAQ)
modeling system (epa.gov/cmaq), the
Weather Research and Forecasting
(WRF) model, the Model for Prediction
Across Scales (MPAS), and the
Comprehensive Air Quality Model with
Extensions (CAMx).
VERDI Input Features
VERDI includes an interactive
graphical user interface and command
line scripting that makes it easy to
import datasets, create formulas, and
generate and save plots.
For inputs from models, VERDI
supports Models-3 Input/Output
Applications Programming Interface
(Models-3 I/O API), Network
Common Data Form (NetCDF), and
Urban Airshed Model (UAM-IV). For
inputs from observations, VERDI
supports American Standard Code
for Information Interchange (ASCII),
Models-3 I/O API, and NetCDF.
VERDI Output Features
•	Map Projections - VERDI
supports Lambert Conformal
conic, Mercator, Universal
Transverse Mercator, and polar
stereographic.
•	Formulas - VERDI allows users
to create formulas from model
variables.
•	Plots - VERDI allows users to
create various types of plots
including spatial tile, areal
interpolation based on shapefiles,
vertical cross section, time series,
scatter, and 3-D contour.
•	Overlays - VERDI outputs can
include overlays of observations
and wind vectors.
•	GIS Layers - VERDI outputs can
include GIS layers such as state
boundaries, rivers, and roads.
•	Save Formats - VERDI plots can
be saved as raster images (e.g.,
PNG) of a specified size, vector
images (EPS), or animated GIFs.
•	Export - VERDI spatial outputs
can be exported as shapefiles,
and data can be exported as
comma separated variables.
•	Statistics - For displayed
variables, VERDI can compute
statistics such as mean, quartiles,
variance, standard deviation,
timesteps of minimum and
maximum, hours of non-
compliance. and many others.
•	Additional features - Additional
VERDI output features include the
abilities to display grid cell
boundaries, specify spatial and
temporal ranges, include a footer
showing minimum and maximum
values, and allow users to zoom in
on areas of interest.
For more information, visit:
VERDI Site:
www.cmascenter.org/verdi
VERDI on CMAS User Forum:
forum.cmascenter.org/c/verdi
VERDI Source Code on GitHub:
Qithub.com/CEMPD/VERDI
U.S. Environmental Protection Agency
Office of Research and Development
September 2019

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