CUSTOMIZED WEATHER DATA

FORECASTS AND REPORTS

Our algorithms can process the main data formats traditionally used in meteorology for reporting or forecasting. In addition to the classical CSV files, it is also possible to analyze more complex binary formats like the GRIB or the NetCDF files.

In addition to the data provided by our customers, we have access to a large variety of reports from automatic weather stations (for example the METAR network with the aerodrome observations) or to the main online numerical weather forecasts.


This information constitutes the basic inputs that will then be corelated to operational data by machine learning techniques.

RAW DATA FROM NUMERICAL WEATHER MODELS

Many meteorological models are now freely available in real time (Open Data). Using these models is motivated by the following advantages:


global forecasts, available worldwide,
large number of meteorological variables at different levels,
several horizontal and vertical resolutions available,
regular updates with a high server availability,
in the public domain, freely available, no additional costs,
the possibilty to combine these different sources to improve accuracy,
well documented and widely used by the weather community.