We offer advanced software solutions for atmospheric modelling: visit our page dedicated to the numerical models and software tools.
We also develop custom-tailored software solutions for data analysis and visualization for the atmosphere and environment, based on the latest technologies. Our services include:
- Statistical analysis and data visualization development in R and Python
- High-performance computing (HPC)
- API development
- Real-time data acquisition and post-processing
- Relational database development
- Machine learning on environmental big data
In agreement with our customers, whenever possible, we prefer to release our software under a Free and Open Source Software (FOSS) license, as in the examples below.
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.
It is distributed with the GPL license.
For more information, visit the project
documentation site.
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 with GPL license.
More information and the documentation are available in the
dedicated documentation
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.