We offer advanced software solutions for atmospheric modelling, data analysis and visualisation for the atmosphere and the environment.
We develop custom tailored software solutions for our own internal activity and for our customers, based on the most recent and modern technologies. High performance computing, data analysis, visualization dashboards, are just a few examples of the project we delivered along our activity.
In agreement with our customers, whenever it is possible, we like to release our software with OSS license, as in the examples hereafter.
MEDEA
MEDEA - Meteorological Dependent Emission Algorithms - a Python library to prepare time dependent emissions, as a function of meteorological variables.
Three algorithms are implemented to compute odour or airborne dust emissions.
The code is compatible with the following dispersion models: CALPUFF, AERMOD, ARIA-IMPACT and SPRAY.
MEDEA is open and free software, distributed with AGPL 3.0 license on github.
AirVeg
AirVeg is an R package to import, validate, analyse and
visualise air quality and meteorological data produced by
numerical simulations of measurement stations.
The package has been initially developed for the
LIFE VEG-GAP,
project and it is currently maintained by Simularia.
For more information, visit the project
repository.
simulariatools
A collection of functions and tools useful to post process
and visualise data produced by air quality numerical
simulations.
The package is developed in R language and is available on CRAN.
More information and the documentation are available in the
dedicated
website.
arinfopy
A Python library to read and write binary files in the ADSO/BIN
format, used by some atmospheric dispersion models.
The library also includes a CLI tool to summarise the content
of files in such a format.
More information is available in the public project
repository.