Atmospheric Composition and Dynamics
The role of dynamics in atmospheric composition is a recent research line of our group. This includes investigating the effect that synoptic scale weather systems exert on the surface concentrations of air pollutants such as ozone (O3) and particulate matter (PM). We use observations of atmospheric constituents, meteorological reanalysis data and objective classification methods (see Tropospheric Climate Variability and Change research line) to establish links between atmospheric composition and circulation. We also apply clustering algorithms and complex machine-learning techniques to understand the weather regimes which trigger extreme air pollution episodes.
Carro-Calvo, L., Ordóñez, C., García-Herrera R., Schnell, J. L. (2017): Spatial clustering and meteorological drivers of summer ozone in Europe, submitted to Atmos. Chem. Phys.
Garrido-Perez, J. M., Ordóñez, C., García-Herrera R. (2017): Strong signatures of high-latitude blocks and subtropical ridges in winter PM10 over Europe, submitted to Atmos. Environ.
Ordóñez, C., Barriopedro D., García-Herrera R., Sousa, P. M., Schnell, J. L. (2017): Regional responses of surface ozone in Europe to the location of high-latitude blocks and subtropical ridges, Atmos. Chem. Phys. 17, 3111-3131, doi:10.5194/acp-17-3111-2017.
Salcedo-Sanz S., Portilla-Figueras J.A., Ortiz-Garcia E.G., Perez-Bellido A.M., García-Herrera R., Elorrieta J.I. (2009): Spatial regression analysis of NOx and O3 concentrations in Madrid urban area using Radial Basis Function networks. Chemometrics and Intelligent Laboratory Systems 99, 79-90.