Seasonal and decadal forecasting
We develop seasonal forecasting models for years, months or weeks ahead, designed ad-hoc for each client.
About the project
Through the development of this study, it has been possible to increase the seasonal predictive capacity of atmospheric pollution episodes that imply a risk to public health. Pre-SO2N aims to use these results to implement operational prediction systems in the Mediterranean basins of the Júcar and Segura rivers, which can be extrapolated to other areas of the Peninsula.
Results
Thanks to this study, developed from the analysis of a history of episodes of high atmospheric pollution concentration, it is possible to anticipate and predict scenarios that could endanger the health of the population and the ecosystems living in the study regions.
Based on the predictive ability offered by these tools with a range of up to 6 months, it is expected that they will be able to identify possible episodes in which the thresholds considered at risk for each specific pollutant are exceeded, both for nitrogen dioxide, particulate matter below 2 microns and sulfur dioxide (NO2, PM2.5 and SO2, respectively). This is achieved sufficiently in advance to anticipate measures against the risks posed by exceeding these thresholds.
Funded by
Ministry for the Ecological Transition and the Demographic Challenge through grants to third-sector entities or non-governmental organizations that carry out activities of general interest considered to be of social interest in the field of scientific and technical research and environmental protection under state jurisdiction. This research has been funded by the Ministry for the Ecological Transition and the Demographic Challenge but does not express its opinion.
