Certain regions do not have historical meteorological data (non-existent stations) or the data is not pertinent.
However, the study of this data is essential in numerous activity sectors (agriculture, energy, research, etc.)
In the absence of localized historical data, professionals sometimes run into difficulties when studying climatic data or evaluating the efficiency of any project (see examples below).
We will reconstruct a climatic history in order to help professionals make the best decisions on a day-to-day basis.
How does it work?
Just as we do with our forecasting calculations, we use an algorithm that allows us to recreate observational data while refining actual available data.
Thanks to this model, we can tell what the weather was in a given location and at a given period of time.
- Get precise geographic data (within a few km)
- Adequately evaluate the cost-efficiency of a project
- Make the right decisions (layout, etc.)