The overall objective of CLIMFOR is the development of a short-to-medium-term atmosphere Big Data forecasting system. Despite its potential use across several vertical industries (water resources management, marine, health care, etc.), the initial focus of our system will be concentrated on energy, agriculture and climate applications. The technology is based on original self-organizing modelling technologies using high-resolved space-based earth observation data stored and maintained in a Big Data platform. The use of non-interpolated data sources (i.e., models developed individually based on the earth observation and in situ data collected) is key to ensure high-spatial resolution.

The final full system will consist of millions of self-learning predictive models interconnected to a virtual grid around the earth’s surface deploying distributed High-performance Computing, which makes it a “living”, artificially intelligent forecasting system. This innovation will constitute a clear breakthrough relative to existing forecasting solutions in the targeted application fields.