Articles | Volume 17, issue 13
Atmos. Chem. Phys., 17, 8211–8230, 2017
Atmos. Chem. Phys., 17, 8211–8230, 2017

Research article 06 Jul 2017

Research article | 06 Jul 2017

Estimating daily surface NO2 concentrations from satellite data – a case study over Hong Kong using land use regression models

Jasdeep S. Anand and Paul S. Monks

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Cited articles

Anand, J. S., Monks, P. S., and Leigh, R. J.: An improved retrieval of tropospheric NO2 from space over polluted regions using an Earth radiance reference, Atmos. Meas. Tech., 8, 1519–1535,, 2015.
Bates, D., Maechler, M., and Bolker, B.: lme4: Linear mixed-effects models using S4 classes, r package version 0.999999-0, 2012.
Bechle, M. J., Millet, D. B., and Marshall, J. D.: Remote sensing of exposure to NO2: Satellite versus ground-based measurement in a large urban area, Atmos. Environ., 69, 345–353,, 2013.
Boersma, K. F., Eskes, H. J., and Brinksma, E. J.: Error analysis for tropospheric NO2 retrieval from space, J. Geophys. Res.-Atmos., 109, D04311,, 2004.
Short summary
Previous investigations into Chinese urban air quality have been hampered by a lack of available data. In this work we present a new statistical modelling technique, in which sparse ground-based measurements of nitrogen dioxide (NO2) are combined with satellite data and other parameters (e.g. road networks) to create high-resolution maps of daily surface NO2 concentrations over Hong Kong. These maps can be used to estimate population exposure, and to identify at-risk groups.
Final-revised paper