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CALPUFF View

  • April 14, 2024

Customizing the Main Display

Lakes Software’s commercial applications all feature a similar look and feel. This familiarity allows users to easily execute a variety of air dispersion models even when accessing a brand-new product for the first time. The image below uses AERMOD View to demonstrate the key components of each Lakes Software application.

  • January 18, 2024

CALPUFF View: Calculating Percentiles

We previously discussed a fundamental limitation of the CALPUFF modeling system which places finite limits on how many objects and calculations the various system executables can handle in a single project.

  • October 26, 2023

CALPUFF View: New Ranked Values Grid View

Last month’s tip discussed the new Top-50 Table Viewer, one of the new additions to CALPUFF View Version 10.0 which aids modelers in visualizing output from the CALPOST postprocessor. Another addition to this release of CALPUFF View is the Ranked Values Grid View.

  • September 21, 2023

CALPUFF View: New Top 50 Table Viewer

Last month’s tip discussed the new Top-50 Table Viewer, one of the new additions to CALPUFF View Version 10.0 which aids modelers in visualizing output from the CALPOST postprocessor. Another addition to this release of CALPUFF View is the Ranked Values Grid View.

  • February 15, 2023

CALPUFF View: Changing the Default Text Editor

Most air dispersion models use simple text files for reading inputs and writing output data. To display these files, Lakes Environmental’s applications use the system’s default text editor. Users may prefer to use a different text editor to utilize different functionality or format data differently. To take advantage of these additional features, you can change the default text editor called by our software.

  • August 24, 2022

Lakes Software Applications: Graphical Options: Plot Colored Contour Lines

When conducting an air dispersion modeling analysis, the ability to present high-quality graphical depictions of the output is extremely important. Such images provide context to modeled results, and they provide a valuable tool to modelers in understanding and explaining the model’s calculations.