Articles | Volume 12, issue 6
https://doi.org/10.5194/amt-12-3209-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/amt-12-3209-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
17 Jun 2019
Research article |
| 17 Jun 2019
| 17 Jun 2019
Characterization and application of artificial light sources for nighttime aerosol optical depth retrievals using the Visible Infrared Imager Radiometer Suite Day/Night Band
Department of Atmospheric Sciences, University of North Dakota, Grand
Forks, ND, USA
Shawn L. Jaker
Department of Atmospheric Sciences, University of North Dakota, Grand
Forks, ND, USA
Jeffrey S. Reid
Marine Meteorology Division, Naval Research Laboratory,
Monterey, CA, USA
Steven D. Miller
Cooperative Institute for Research in the Atmosphere, Colorado State
University, Fort Collins, CO, USA
Jeremy Solbrig
Cooperative Institute for Research in the Atmosphere, Colorado State
University, Fort Collins, CO, USA
Travis D. Toth
NASA Langley Research Center, Hampton, VA, USA
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Cited
23 citations as recorded by crossref.
- Urban nighttime aerosol optical depth retrieval methods from SDGSAT-1 glimmer data Y. Jiang et al. https://doi.org/10.1080/17538947.2024.2411822
- Enhanced continuous aerosol optical depth (AOD) estimation using geostationary satellite data: focusing on nighttime AOD over East Asia S. Song et al. https://doi.org/10.1016/j.atmosenv.2025.121365
- Aerosol characterization using satellite remote sensing of light pollution sources at night M. Kocifaj & S. Bará https://doi.org/10.1093/mnrasl/slaa060
- Sensitivity studies of nighttime top-of-atmosphere radiances from artificial light sources using a 3-D radiative transfer model for nighttime aerosol retrievals J. Zhang et al. https://doi.org/10.5194/amt-16-2531-2023
- Multiple Angle Observations Would Benefit Visible Band Remote Sensing Using Night Lights C. Kyba et al. https://doi.org/10.1029/2021JD036382
- Night-time monitoring of the aerosol content of the lower atmosphere by differential photometry of the anthropogenic skyglow M. Kocifaj & S. Bará https://doi.org/10.1093/mnrasl/slaa181
- Nighttime smoke aerosol optical depth over U.S. rural areas: First retrieval from VIIRS moonlight observations M. Zhou et al. https://doi.org/10.1016/j.rse.2021.112717
- Assessment of the impact of waste fires on air quality and atmospheric aerosol optical depth: A case study in Poland R. Oleniacz et al. https://doi.org/10.1016/j.egyr.2023.03.087
- A Case for a New Satellite Mission for Remote Sensing of Night Lights J. Barentine et al. https://doi.org/10.3390/rs13122294
- Estimation of Ground-Level PM2.5 Concentration at Night in Beijing-Tianjin-Hebei Region with NPP/VIIRS Day/Night Band Y. Ma et al. https://doi.org/10.3390/rs15030825
- Monitoring Aerosol Dynamics in the Beijing–Tianjin–Hebei Region: A High-Resolution, All-Day AOD Dataset from 2018 to 2023 J. Yang et al. https://doi.org/10.3390/atmos17020168
- Can the Earth–Moon Distance Influence the Accuracy of Lunar Irradiance with the Plane-Parallel Assumption in Atmospheric Radiative Transfer at Night? M. Min et al. https://doi.org/10.1175/JAS-D-20-0198.1
- Continuous Diurnal–Nocturnal Observation of Atmospheric Aerosols: Mechanisms, Challenges, and the Prospects of AI Empowerment H. Che et al. https://doi.org/10.1007/s13351-026-6048-y
- Quantifying uncertainties in nighttime light retrievals from Suomi-NPP and NOAA-20 VIIRS Day/Night Band data Z. Wang et al. https://doi.org/10.1016/j.rse.2021.112557
- Aerosol impact on light pollution in cities and their environment S. Wallner & M. Kocifaj https://doi.org/10.1016/j.jenvman.2023.117534
- Assessing the stability of surface lights for use in retrievals of nocturnal atmospheric parameters J. Solbrig et al. https://doi.org/10.5194/amt-13-165-2020
- Towards gridded nighttime aerosol optical thickness retrievals using VIIRS day–night band observations over regions with artificial light sources J. Zhang et al. https://doi.org/10.5194/amt-18-1787-2025
- Estimation of nighttime aerosol optical depths using the ground-based microwave radiometer G. Liu et al. https://doi.org/10.5194/amt-18-6705-2025
- Spatial heterogeneity of uncertainties in daily satellite nighttime light time series X. Tan et al. https://doi.org/10.1016/j.jag.2023.103484
- CRYSTAL: A novel and effective method to remove clouds in daily nighttime light images by synergizing spatiotemporal information X. Tan & X. Zhu https://doi.org/10.1016/j.rse.2023.113658
- Robust reconstruction of seamless daily VIIRS nighttime light imagery with cloud mask refinement and multi-strategy spatiotemporal gap-filling Q. Zheng et al. https://doi.org/10.1016/j.rse.2026.115328
- AOD Derivation from SDGSAT-1/GLI Dataset in Mega-City Area N. Wang et al. https://doi.org/10.3390/rs15051343
- Seasonal Urban Heat Persistence and Nighttime Radiance Intensification in Jaipur, India: Spatiotemporal Analysis R. Gupta et al. https://doi.org/10.21926/aeer.2603024
23 citations as recorded by crossref.
- Urban nighttime aerosol optical depth retrieval methods from SDGSAT-1 glimmer data Y. Jiang et al. https://doi.org/10.1080/17538947.2024.2411822
- Enhanced continuous aerosol optical depth (AOD) estimation using geostationary satellite data: focusing on nighttime AOD over East Asia S. Song et al. https://doi.org/10.1016/j.atmosenv.2025.121365
- Aerosol characterization using satellite remote sensing of light pollution sources at night M. Kocifaj & S. Bará https://doi.org/10.1093/mnrasl/slaa060
- Sensitivity studies of nighttime top-of-atmosphere radiances from artificial light sources using a 3-D radiative transfer model for nighttime aerosol retrievals J. Zhang et al. https://doi.org/10.5194/amt-16-2531-2023
- Multiple Angle Observations Would Benefit Visible Band Remote Sensing Using Night Lights C. Kyba et al. https://doi.org/10.1029/2021JD036382
- Night-time monitoring of the aerosol content of the lower atmosphere by differential photometry of the anthropogenic skyglow M. Kocifaj & S. Bará https://doi.org/10.1093/mnrasl/slaa181
- Nighttime smoke aerosol optical depth over U.S. rural areas: First retrieval from VIIRS moonlight observations M. Zhou et al. https://doi.org/10.1016/j.rse.2021.112717
- Assessment of the impact of waste fires on air quality and atmospheric aerosol optical depth: A case study in Poland R. Oleniacz et al. https://doi.org/10.1016/j.egyr.2023.03.087
- A Case for a New Satellite Mission for Remote Sensing of Night Lights J. Barentine et al. https://doi.org/10.3390/rs13122294
- Estimation of Ground-Level PM2.5 Concentration at Night in Beijing-Tianjin-Hebei Region with NPP/VIIRS Day/Night Band Y. Ma et al. https://doi.org/10.3390/rs15030825
- Monitoring Aerosol Dynamics in the Beijing–Tianjin–Hebei Region: A High-Resolution, All-Day AOD Dataset from 2018 to 2023 J. Yang et al. https://doi.org/10.3390/atmos17020168
- Can the Earth–Moon Distance Influence the Accuracy of Lunar Irradiance with the Plane-Parallel Assumption in Atmospheric Radiative Transfer at Night? M. Min et al. https://doi.org/10.1175/JAS-D-20-0198.1
- Continuous Diurnal–Nocturnal Observation of Atmospheric Aerosols: Mechanisms, Challenges, and the Prospects of AI Empowerment H. Che et al. https://doi.org/10.1007/s13351-026-6048-y
- Quantifying uncertainties in nighttime light retrievals from Suomi-NPP and NOAA-20 VIIRS Day/Night Band data Z. Wang et al. https://doi.org/10.1016/j.rse.2021.112557
- Aerosol impact on light pollution in cities and their environment S. Wallner & M. Kocifaj https://doi.org/10.1016/j.jenvman.2023.117534
- Assessing the stability of surface lights for use in retrievals of nocturnal atmospheric parameters J. Solbrig et al. https://doi.org/10.5194/amt-13-165-2020
- Towards gridded nighttime aerosol optical thickness retrievals using VIIRS day–night band observations over regions with artificial light sources J. Zhang et al. https://doi.org/10.5194/amt-18-1787-2025
- Estimation of nighttime aerosol optical depths using the ground-based microwave radiometer G. Liu et al. https://doi.org/10.5194/amt-18-6705-2025
- Spatial heterogeneity of uncertainties in daily satellite nighttime light time series X. Tan et al. https://doi.org/10.1016/j.jag.2023.103484
- CRYSTAL: A novel and effective method to remove clouds in daily nighttime light images by synergizing spatiotemporal information X. Tan & X. Zhu https://doi.org/10.1016/j.rse.2023.113658
- Robust reconstruction of seamless daily VIIRS nighttime light imagery with cloud mask refinement and multi-strategy spatiotemporal gap-filling Q. Zheng et al. https://doi.org/10.1016/j.rse.2026.115328
- AOD Derivation from SDGSAT-1/GLI Dataset in Mega-City Area N. Wang et al. https://doi.org/10.3390/rs15051343
- Seasonal Urban Heat Persistence and Nighttime Radiance Intensification in Jaipur, India: Spatiotemporal Analysis R. Gupta et al. https://doi.org/10.21926/aeer.2603024
Saved (final revised paper)
Latest update: 01 Nov 2026
Short summary
Using nighttime observations from the Visible Infrared Imager Radiometer Suite (VIIRS) Day/Night band (DNB), the characteristics of artificial light sources are evaluated as functions of observation conditions, and incremental improvements are documented on nighttime aerosol retrievals on a regional scale. Results from the study indicate the potential of this method to begin filling critical gaps in diurnal aerosol optical thickness information at both regional and global scales.
Using nighttime observations from the Visible Infrared Imager Radiometer Suite (VIIRS) Day/Night...
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