CALRoads View includes three mobile source air dispersion models: CALINE4, CAL3QHC, and CAL3QHCR. These models are used for predicting air pollution concentrations of carbon monoxide (CO), nitrogen dioxide (NO2), particulate matter (PM), and other inert gases from idle or moving vehicles.
CALRoads View makes it very easy to input links to a modeling project using one of the CALINE series of models (CALINE, CAL3QHC, CAL3QHCR). While it’s common to graphically depict links, CALRoads also allows modelers to import links using an Excel spreadsheet template. This is useful for modelers who have all of their inputs defined or those who have a lot of data to input. The template spreadsheet is found in the C:\Lakes\CALRoads View\Templates folder.
Wind roses are used to graphically depict wind frequency. Directly comparing wind roses from two different sets of meteorological data is a great way to compare how similar the data is. This is commonly done when comparing observational data to that generated with a meteorological model such as WRF or MM5.
The AERMET meteorological data pre-processor contains many different features designed to aid users in performing quality control tasks as data are processed. This includes the ability to audit specific variables, modify valid data ranges, and more.
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.
When conducting an air dispersion modeling analysis, it is very important that the meteorological data quality is as high as possible. AERMET – the meteorological pre-processor for the AERMOD dispersion modeling system – contains internal options which can boost data quality by filling short gaps of missing cloud cover and temperature data.