Improving air quality forecasts using high resolution pollutant climatologies and surface observations

Abstract

An existing bias correction technique has been extended to intelligently incorporate urban centre and roadside observations by using high (1 km) resolution pollution climatologies. The results show that this can give important improvements in forecast skill, particularly during rush hours where a clear distinction between urban and rural areas becomes more apparent.