Articles | Volume 14, issue 5
Atmos. Meas. Tech., 14, 3449–3468, 2021
https://doi.org/10.5194/amt-14-3449-2021

Special issue: Satellite and ground-based remote sensing of aerosol optical,...

Atmos. Meas. Tech., 14, 3449–3468, 2021
https://doi.org/10.5194/amt-14-3449-2021

Research article 12 May 2021

Research article | 12 May 2021

A Dark Target research aerosol algorithm for MODIS observations over eastern China: increasing coverage while maintaining accuracy at high aerosol loading

Yingxi R. Shi et al.

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Bilal, M. and Nichol, J. E.: Evaluation of MODIS aerosol retrieval algorithms over the Beijing-Tianjin-Hebei region during low to very high pollution events, J. Geophys. Res.-Atmos., 120, 7941–7957, https://doi.org/10.1002/2015JD023082, 2015. 
Bilal, M., Nichol, J. E., and Chan, P. W.: Validation and accuracy assessment of a Simplified Aerosol Retrieval Algorithm (SARA) over Beijing under low and high aerosol loadings and dust storms, Remote Sens. Environ., 153, 50–60, https://doi.org/10.1016/j.rse.2014.07.015, 2014. 
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Short summary
Due to fast industrialization and development, China has been experiencing haze pollution episodes with both high frequencies and severity over the last 3 decades. This study improves the accuracy and data coverage of measured aerosol from satellites, which help quantify, characterize, and understand the impact of the haze phenomena over the entire East Asia region.