From model-ready files to meaningful insights

Make sense of your meteorological data

MeteoViz turns AERMOD meteorological data into interactive visualisations, helping you explore atmospheric conditions, identify trends and understand the data behind your dispersion modelling results.


Built into your existing AERMOD One workflow, with no separate analysis application required.

Meteoviz

Understand the meteorology behind your model.

Model-ready SFC and PFL files are formatted for AERMOD modelling, not for direct visual exploration. MeteoViz transforms the meteorological data already linked to your project into clear, intuitive visualizations, making it easier to explore wind patterns and understand the conditions behind your modelling results.

Decode model-ready files

Read SFC and PFL data with clear parameter names, units, timestamps and profile levels instead of interpreting headerless columns.

See conditions through time

Plot meteorological parameters across the modelling period to identify trends, transitions and unusual conditions.

Explore parameter relationships

Compare compatible variables on X and Y axes to explore relationships such as temperature versus humidity or wind speed versus mixing height.

Already connected to your project

No separate application, file import or analysis project. MeteoViz works directly with the meteorological dataset assigned to the active AERMOD One project.

MeteoViz scattered plot of meteorological data
Wind Rose

Your project meteorology, instantly visualised.

Build customised wind roses from the meteorological dataset connected to your AERMOD One project. No separate application or duplicate data imports.

AERMOD One custom wind rose analysis
Custom Periods
Hour Filtering
4 to 36 Sectors
Custom Speed Bins

Always connected

One meteorological dataset. One project.

The wind rose is another view of the meteorological data already assigned to your active AERMOD One project. Change the data and the visualisation updates with it.

Project meteorological data selected
Wind rose updates automatically
Same dataset used by the model