R&D&I
We work to contribute our knowledge in climate research, as a pioneer in statistical regionalization, and we offer training for the support and strengthening of scientific capacities.
This project is part of the fight against air pollution, a global problem that continues to affect public health despite technological advances in fuels, transportation and energy generation. Given that recent studies have revealed that deaths attributable to pollution in Europe could reach close to one million per year, the project seeks to anticipate high pollution episodes through seasonal and sub-seasonal prediction, in order to activate effective preventive measures.
The objective was to develop a prediction system for pollutant concentrations (PM2.5, NO₂ and SO₂) in the Mediterranean basins of the Iberian Peninsula, anticipating meteorological situations favorable to pollutant accumulation. Observational and model information was collected, appropriate seasonal statistical models were selected and validated, and a sub-seasonal prediction methodology was designed. This was validated against historical records and culminated in the development of a visualization tool for early warnings to facilitate decision making by competent authorities.
We work to contribute our knowledge in climate research, as a pioneer in statistical regionalization, and we offer training for the support and strengthening of scientific capacities.
We develop seasonal forecasting models for years, months or weeks ahead, designed ad-hoc for each client.