Data assimilation methods for urban air quality at the local scale

Despite their wide applications in many fields of environmental sciences, data assimilation methods are still poorly adopted for the numerical simulation pollutant dispersion at local urban scale. In this study, we compare three to evaluate air quality The used here Bias Ajustment Techniques, Best Linear Unbiased Estimator, and Source Apportionment Least Square method. We assess performances on pollution simulations Lyon year 2008, focusing ground-level NO2 hourly concentrations. results indicate that improve estimates similar. This study shows is a promising tool ameliorate