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Volume 13, issue 21
Atmos. Chem. Phys., 13, 10907–10917, 2013
https://doi.org/10.5194/acp-13-10907-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
Atmos. Chem. Phys., 13, 10907–10917, 2013
https://doi.org/10.5194/acp-13-10907-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 07 Nov 2013

Research article | 07 Nov 2013

A critical assessment of high-resolution aerosol optical depth retrievals for fine particulate matter predictions

A. Chudnovsky et al.

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Cited articles

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Barnaba, F., Putaud, J. P., Gruening, C., dell'Acqua, A., and Dos Santos, S.: Annual cycle in co-located in situ, total-column, and height-resolved aerosol observations in the Po Valley (Italy): Implications for ground-level particulate matter mass concentration estimation from remote sensing, J. Geophys. Res., 115, D19209, https://doi.org/10.1029/2009JD013002, 2010.
Bell, M., Ebisu, K., and Peng, R.: Community-level spatial heterogeneity of chemical constituent levels of fine particulates and implications for epidemiological research, J. Expo. Sci. Env. Epid., 21, 372–384, https://doi.org/10.1038/jes.2010.24, 2011.
Christopher, S. and Gupta, P.: Satellite Remote Sensing of Particulate Matter Air Quality: The Cloud-Cover Problem, J. Air Waste Manage., 60, 596–602, https://doi.org/10.3155/1047-3289.60.5.596, 2010.
Chudnovsky, A., Lee, H.-J., Kostinski, A., Kotlov, T., and Koutrakis, P.: Prediction of daily fine particulate matter concentrations using aerosol optical depth retrievals from the Geostationary Operational Environmental Satellite, J. Air Waste Manage., 62, 1022–1031, https://doi.org/10.1080/10962247.2012.695321, 2012.
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