Dynamic parameter estimation for a street canyon air quality model
We compared two methods to estimate parameters in a street-scale air quality model. These were tested by modelling pollutant levels at five urban streets in Denmark. The use of parameter estimation reduced biases in modelled hourly concentrations. However it slightly increased biases in modelled daily maximum concentrations. There is limited scope for applying such parameter estimation to on-line forecasts.
parameter estimation street-scale air quality modelling urban air quality ensemble kalman filter data assimilation