Spatial Contribution to Flood Risk Analysis (COSPARIN)

After having developed an operational flood risk management service in France for more than 15 years, PREDICT Services was asked to deploy this service internationally.

PREDICT Services has started the transfer of the methods internationally and particularly in Morocco. The first feedbacks of experiences show that spatial data take an essential part in it but that today the quality of these products needs to be improved and that the durability of the access to the data must be secured.

PREDICT Services has partnered with Météo-France and CEREMA to carry out this project.

We have developed with Météo-France a global precipitation estimation data thanks to an artificial intelligence algorithm specific to rainfall estimation computation which considers the discrimination of stratiform and convective clouds, their precipitation estimates, the evaporation correction of precipitation, seasonality, latitude.... These data are also processed in a training file to calibrate the data according to several parameters and in particular existing radar data.

This data is available every 30 minutes at a resolution of 5km around the world.

In addition, with CEREMA, we can generate flood zones thanks to its Exzeco model, applied on the new Airbus digital terrain models (WorldDEM) based on satellite data, thus improving the overall accuracy.

A pilot project has started and will last 2 years to validate the methods and data developed during the project in the Indian Ocean area (Reunion - Mauritius - Mayotte - Madagascar) so that they can be deployed worldwide. Global rainfall estimation as well as the estimation of floodable areas elaborated thanks to satellite data.

These data will be shared via a web platform which will allow users (insurers, meteorological direction, States) to take control of these tools. A real time assistance service 24/24, 365/365, already set up by PREDICT Services for more than 15 years, will support them in the management of risk events.

This data, essential for crisis management and anticipation of natural risks, will allow the different actors to better anticipate and be better prepared during risk events.