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

Shi, Yingxi R.; Levy, Robert C.; Yang, Leiku; Remer, Lorraine A.; Mattoo, Shana; Dubovik, Oleg

doi:https://doi.org/10.5194/amt-14-3449-2021

Articles | Volume 14, issue 5

https://doi.org/10.5194/amt-14-3449-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

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

https://doi.org/10.5194/amt-14-3449-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 14, issue 5

Research article

| Highlight paper

|

12 May 2021

Research article | Highlight paper |

| 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, Robert C. Levy, Leiku Yang, Lorraine A. Remer, Shana Mattoo, and Oleg Dubovik

Data sets

MODIS 1km Calibrated Radiances Product MODIS Characterization Support Team (MCST) https://doi.org/10.5067/MODIS/MYD021KM.061

MODIS Atmosphere L2 Aerosol Product R. C. Levy and C. Hsu https://doi.org/10.5067/MODIS/MOD04_L2.006

AERONET direct sun measurements and inversion product AERONET team https://aeronet.gsfc.nasa.gov/new_web/download_all_v3_aod.html

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.