Our algorithms can directly process the main data formats traditionally used in meteorology for reporting or forecasting, including complex binary formats such as GRIB or NetCDF files.
In addition to data provided by our customers, we have access to a wide variety of reports from automatic weather stations, such as aerodrome observations from the METAR network, as well as the main online numerical weather forecasts.
This information serves as the foundational inputs that are then correlated with operational data using machine learning techniques.
Many meteorological models are now freely available in real time as Open Data.
Utilizing these models offers the following advantages:
Global forecasts, available worldwide A large number of meteorological variables at different levels Several horizontal and vertical resolutions available Regular updates with high server availability In the public domain, freely available, with no additional costs The possibility to combine these different sources to improve accuracy Well documented and widely used by the weather community