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

The Global Forecast System (GFS) is one the numerical model provided by the US National Centers for Environmental Prediction (NCEP). It is often use due to following advantages:


global model, available worldwide,
large number of meteorological variables at different levels,
several horizontal resolutions available (1°, 0.5° and 0.25°),
forecasts up to 16 days,
updated every 6 hours with a high server availability,
data accumulated and stored for long periods,
in the public domain, freely available,
well documented and widely used by the weather community.


Alternative modeling approaches are also available: an ensemble model (GEFS) for the stability analysis and a Reforecast model for the long term or climatology analysis.


All these specifications enable to build high quality, low cost and robust models.