Loading [MathJax]/jax/output/HTML-CSS/fonts/TeX/fontdata.js
Articles | Volume 14, issue 5
https://doi.org/10.5194/amt-14-3449-2021
https://doi.org/10.5194/amt-14-3449-2021
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

Related authors

Observation and modeling of the historic “Godzilla” African dust intrusion into the Caribbean Basin and the southern US in June 2020
Hongbin Yu, Qian Tan, Lillian Zhou, Yaping Zhou, Huisheng Bian, Mian Chin, Claire L. Ryder, Robert C. Levy, Yaswant Pradhan, Yingxi Shi, Qianqian Song, Zhibo Zhang, Peter R. Colarco, Dongchul Kim, Lorraine A. Remer, Tianle Yuan, Olga Mayol-Bracero, and Brent N. Holben
Atmos. Chem. Phys., 21, 12359–12383, https://doi.org/10.5194/acp-21-12359-2021,https://doi.org/10.5194/acp-21-12359-2021, 2021
Short summary
Interannual variability and trends of combustion aerosol and dust in major continental outflows revealed by MODIS retrievals and CAM5 simulations during 2003–2017
Hongbin Yu, Yang Yang, Hailong Wang, Qian Tan, Mian Chin, Robert C. Levy, Lorraine A. Remer, Steven J. Smith, Tianle Yuan, and Yingxi Shi
Atmos. Chem. Phys., 20, 139–161, https://doi.org/10.5194/acp-20-139-2020,https://doi.org/10.5194/acp-20-139-2020, 2020
Short summary
Characterizing the 2015 Indonesia fire event using modified MODIS aerosol retrievals
Yingxi R. Shi, Robert C. Levy, Thomas F. Eck, Brad Fisher, Shana Mattoo, Lorraine A. Remer, Ilya Slutsker, and Jianglong Zhang
Atmos. Chem. Phys., 19, 259–274, https://doi.org/10.5194/acp-19-259-2019,https://doi.org/10.5194/acp-19-259-2019, 2019
Short summary
Exploring systematic offsets between aerosol products from the two MODIS sensors
Robert C. Levy, Shana Mattoo, Virginia Sawyer, Yingxi Shi, Peter R. Colarco, Alexei I. Lyapustin, Yujie Wang, and Lorraine A. Remer
Atmos. Meas. Tech., 11, 4073–4092, https://doi.org/10.5194/amt-11-4073-2018,https://doi.org/10.5194/amt-11-4073-2018, 2018
Short summary
An 11-year global gridded aerosol optical thickness reanalysis (v1.0) for atmospheric and climate sciences
Peng Lynch, Jeffrey S. Reid, Douglas L. Westphal, Jianglong Zhang, Timothy F. Hogan, Edward J. Hyer, Cynthia A. Curtis, Dean A. Hegg, Yingxi Shi, James R. Campbell, Juli I. Rubin, Walter R. Sessions, F. Joseph Turk, and Annette L. Walker
Geosci. Model Dev., 9, 1489–1522, https://doi.org/10.5194/gmd-9-1489-2016,https://doi.org/10.5194/gmd-9-1489-2016, 2016
Short summary

Related subject area

Subject: Aerosols | Technique: Remote Sensing | Topic: Data Processing and Information Retrieval
ACDL/DQ-1 calibration algorithms – Part 1: Nighttime 532 nm polarization and the high-spectral-resolution channel
Fanqian Meng, Junwu Tang, Guangyao Dai, Wenrui Long, Kangwen Sun, Zhiyu Zhang, Xiaoquan Song, Jiqiao Liu, Weibiao Chen, and Songhua Wu
Atmos. Meas. Tech., 18, 2021–2039, https://doi.org/10.5194/amt-18-2021-2025,https://doi.org/10.5194/amt-18-2021-2025, 2025
Short summary
Aerosol composition retrieval from a combination of three different spaceborne instruments: information content analysis
Ulrike Stöffelmair, Thomas Popp, Marco Vountas, and Hartmut Bösch
Atmos. Meas. Tech., 18, 2005–2020, https://doi.org/10.5194/amt-18-2005-2025,https://doi.org/10.5194/amt-18-2005-2025, 2025
Short summary
Compact dual-wavelength depolarization lidar for aerosol characterization over the subtropical North Atlantic
Yenny González, María F. Sánchez-Barrero, Ioana Popovici, África Barreto, Stephane Victori, Ellsworth J. Welton, Rosa D. García, Pablo G. Sicilia, Fernando A. Almansa, Carlos Torres, and Philippe Goloub
Atmos. Meas. Tech., 18, 1885–1908, https://doi.org/10.5194/amt-18-1885-2025,https://doi.org/10.5194/amt-18-1885-2025, 2025
Short summary
Towards gridded nighttime aerosol optical thickness retrievals using VIIRS day–night band observations over regions with artificial light sources
Jianglong Zhang, Jeffrey S. Reid, Blake T. Sorenson, Steven D. Miller, Miguel O. Román, Zhuosen Wang, Robert J. D. Spurr, Shawn Jaker, Thomas F. Eck, and Juli I. Rubin
Atmos. Meas. Tech., 18, 1787–1810, https://doi.org/10.5194/amt-18-1787-2025,https://doi.org/10.5194/amt-18-1787-2025, 2025
Short summary
Multi-layer retrieval of aerosol optical depth in the troposphere using SEVIRI data: a case study of the European continent
Maryam Pashayi, Mehran Satari, and Mehdi Momeni Shahraki
Atmos. Meas. Tech., 18, 1415–1439, https://doi.org/10.5194/amt-18-1415-2025,https://doi.org/10.5194/amt-18-1415-2025, 2025
Short summary

Cited articles

AERONET team: AERONET direct sun measurements and inversion product, available at: https://aeronet.gsfc.nasa.gov/new_web/download_all_v3_aod.html, last access: 8 May 2021. 
Bellouin, N., Quaas, J., Gryspeerdt, E., Kinne, S., Stier, P., Watson-Parris, D., Boucher, O., Carslaw, K. S., Christensen, M., Daniau, A. L., and Dufresne, J. L.: Bounding global aerosol radiative forcing of climate change, Rev. Geophys., 58, 2019RG000660, https://doi.org/10.1029/2019RG000660, 2020. 
Bi, J., Belle, J. H., Wang, Y., Lyapustin, A. I., Wildani, A., and Liu, Y.: Impacts of snow and cloud covers on satellite-derived PM2.5 levels. Remote Sens. Environ., 221, 665–674, https://doi.org/10.1016/j.rse.2018.12.002, 2019. 
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. 
Download
Short summary
Due to fast industrialization and development, China has been experiencing haze pollution...
Share