Air Quality Remote Sensing

Space-based observations of tropospheric NO2 and aerosols offer considerable potential for air quality observation, particularly because these atmospheric constituents are largely concentrated in the lower atmospheric mixed layer.

Objective: Develop the application of satellite observations for insight into surface air quality.

Project Leaders:

Colin Lee Chi Li Sajeev Philip Arjya Sarkar
Aaron van Donkelaar Junwei Xu


Tools:
SCIAMACHY, OMI, MODIS, MISR, MODIS, SeaWiFS, GOCI, and CALIPSO satellite instruments; GEOS-Chem chemical transport model

References:

van Donkelaar, A., R.V Martin, M.Brauer, N. C. Hsu, R. A. Kahn, R. C Levy, A. Lyapustin, A. M. Sayer, and D. M Winker, Global Estimates of Fine Particulate Matter using a Combined Geophysical-Statistical Method with Information from Satellites, Models, and Monitors, Environ. Sci. Technol., doi: 10.1021/acs.est.5b05833, 2016. [Link]

Geddes, J. A., R.V. Martin, B. L. Boys, and A. van Donkelaar, Long-term trends worldwide in ambient NO2 concentrations inferred from satellite observations for exposure assessment, Environ. Health Perspec., DOI:10.1289/ehp.1409567, 2015 [Link]

Kharol S. K., R. V. Martin, S. Philip, B. Boys, L. N. Lamsal, M. Jerrett, M. Brauer, D. L. Crouse, C. McLinden, R. T. Burnett, Assessment of the Magnitude and Recent Trends in Satellite-Derived Ground-Level Nitrogen Dioxide over North America, Atmospheric Environment, 118, 236–245, doi:10.1016/j.atmosenv.2015.08.011, 2015. [Link]

van Donkelaar, A., R. V. Martin, M. Brauer and B. L. Boys, Use of Satellite Observations for Long-Term Exposure Assessment of Global Concentrations of Fine Particulate Matter, Environ. Health Perspec., 123, 135-143, DOI:10.1289/ehp.1408646, 2015. [Link]

van Donkelaar, A., R. V. Martin, R. J. D. Spurr and R. T. Burnett, High-resolution satellite-derived PM2.5 from optimal estimation and geographically weighted regression over North America, Environ. Sci. and Tech., doi 10.1021/acs.est.5b02076, 2015. [Link]

Xu, J.-W., R. V. Martin, A. van Donkelaar, J. Kim, M. Choi, Q. Zhang, G. Geng, Y. Liu, Z. Ma, L. Huang, Y. Wang, H. Chen, H. Che, P. Lin, and N. Lin, Estimating Ground-level PM2.5 in Eastern China Using Aerosol Optical Depth Determined from the GOCI Satellite Instrument, Atmos. Chem. Phys., 15, 13133-13144, 2015. [Link]

Boys, B.L., Martin, R.V., van Donkelaar, A., MacDonell, R., Hsu, N.C., Cooper, M.J., Yantosca,R.M., Lu, Z., Streets,D.G., Zhang,Q., Wang,S., Fifteen-year global time series of satellite-derived fine particulate matter, Environ. Sci. Technol, 10.1021/es502113p, 2014. [Link]

Lamsal, L.N., R.V. Martin, D.D. Parrish, and N.A. Krotkov, Scaling relationship for NO2 pollution and population size: A satellite perspective, Environ. Sci. Technol., doi:10.1021/es400744g, 2013. [link]

Nowlan, C. R., R. V. Martin, S. Philip, L. N. Lamsal, N. A. Krotkov, E. A. Marais, S. Wang, and Q. Zhang, Global dry deposition of nitrogen dioxide and sulfur dioxide inferred from space-based measurements, Global Biogeochemical Cycles, 28, doi:10.1002/2014GB004805, 2014. [Full Text (PDF)] [Cover Feature] .

Philip, S., R.V. Martin, A. van Donkelaar, J. Wai-Ho Lo, Y. Wang, D. Chen, L. Zhang, P. S. Kasibhatla, S. W. Wang, Q. Zhang, Z. Lu, D. G. Streets, S. Bittman, and D. J. Macdonald, Global Chemical Composition of Ambient Fine Particulate Matter Estimated from Satellite Observations and a Chemical Transport Model, Environ. Health Perspec., submitted. [Full Text (PDF)].

van Donkelaar, A., R. V. Martin, M. Brauer and B. L. Boys, Use of Satellite Observations for Long-Term Exposure Assessment of Global Concentrations of Fine Particulate Matter, Environmental Health Perspectives, accepted, DOI:10.1289/ehp.1408646. [Link]

van Donkelaar, A., R.V. Martin, R. J. D. Spurr, E. Drury, L. A. Remer, R. C. Levy, and J. Wang, Optimal estimation for global ground-level fine particulate matter concentrations, J. Geophys. Res., 118, doi: 10.1002/jgrd.50479, 2013. [Full Text (PDF)]

Cooper, M., R.V. Martin, A. van Donkelaar, L. Lamsal, M. Brauer, and J. Brook, A satellite-based multi-pollutant index of global air quality, Env. Sci. and Tech., 46: 8523-8524, 2012. [Link]

van Donkelaar, A., R.V. Martin, A.N. Pasch, J.J. Szykman, L. Zhang, Y. X. Wang, and D. Chen, Improving the accuracy of daily satellite-derived ground-level fine aerosol concentration estimates for North America, Env. Sci. and Tech., 46: 11971–11978, 2012. [Link]

van Donkelaar, A., R.V. Martin, R.C. Levy, A.M. da Silva, M. Krzyzanowski, N.E. Chubarova, E. Semutnikova and A. J. Cohen, Satellite-based estimates of ground-level fine particulate matter during extreme events: A case study of the Moscow fires in 2010, Atmospheric Environment, 45 (2011) 6225-6232, doi:10.1016/j.atmosenv.2011.07.068, 2011. [Full Text (PDF)]

van Donkelaar, A., R.V. Martin, M. Brauer, R. Kahn, R. Levy, C. Verduzco, and P.J. Villeneuve, Global estimates of exposure to fine particulate matter concentrations from satellite-based aerosol optical depth, Environ. Health Perspec., doi:10.1289/ehp.0901623, 118(6), 2010. [Full Text (PDF)]

Lamsal, L.N., R.V. Martin, A. van Donkelaar, M. Steinbacher, E.A. Celarier, E. Bucsela, E.J. Dunlea, and J.P. Pinto, Ground-level nitrogen dioxide concentrations inferred from the satellite-borne Ozone Monitoring Instrument (OMI), J. Geophys. Res., 113, D16308, doi:10.1029/2007JD009235, 2008. [Full Text (PDF)]

Martin, R.V., Satellite remote sensing of surface air quality, Atmos. Environ., 42, 7823-7843, 2008. [Full Text (PDF)]

van Donkelaar, A., R.V. Martin, and R.J. Park, Estimating ground-level PM2.5 using aerosol optical depth determined from satellite remote sensing, J. Geophys. Res., 111, D21201, doi:10.1029/2005JD006996, 2006. [Full Text (PDF)]