Articles | Volume 8, issue 11
https://doi.org/10.5194/amt-8-4773-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-8-4773-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
16 Nov 2015
Research article |
| 16 Nov 2015
An improved method for retrieving nighttime aerosol optical thickness from the VIIRS Day/Night Band
T. M. McHardy
Department of Atmospheric Sciences, University of North Dakota, Grand Forks, ND, USA
Department of Atmospheric Sciences, University of North Dakota, Grand Forks, ND, USA
J. S. Reid
Marine Meteorology Division, Naval Research Laboratory, Monterey, CA, USA
S. D. Miller
Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, CO, USA
E. J. Hyer
Marine Meteorology Division, Naval Research Laboratory, Monterey, CA, USA
R. E. Kuehn
Cooperative Institute for Meteorological Satellite Studies, University of Wisconsin-Madison, Madison, WI, USA
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- First lunar-light mapping of nighttime dust season oceanic aerosol optical depth over North Atlantic from space M. Zhou et al. 10.1016/j.rse.2024.114315
- Estimation of nighttime PM2.5 concentrations over Seoul using Suomi NPP/VIIRS Day/Night Band G. Choo et al. 10.1016/j.atmosenv.2024.120861
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- Optical Properties of Boundary Layer Aerosols From High Spectral Resolution Lidar Measurements in a Polluted Urban Environment (Seoul, Korea) S. Park et al. 10.1029/2023JD038523
- JPSS-1/NOAA-20 VIIRS Day-Night Band Prelaunch Radiometric Calibration and Performance T. Schwarting et al. 10.1109/TGRS.2019.2914011
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- NASA's Black Marble nighttime lights product suite M. Román et al. 10.1016/j.rse.2018.03.017
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34 citations as recorded by crossref.
- Multiple Angle Observations Would Benefit Visible Band Remote Sensing Using Night Lights C. Kyba et al. 10.1029/2021JD036382
- Preliminary Investigation of a New AHI Aerosol Optical Depth (AOD) Retrieval Algorithm and Evaluation with Multiple Source AOD Measurements in China F. Yang et al. 10.3390/rs10050748
- Research on the influence of weather conditions on urban night light environment M. Liu et al. 10.1016/j.scs.2019.101980
- Multi-wavelength radiometry of aerosols designed for more accurate night sky brightness predictions M. Kocifaj & F. Kundracik 10.1016/j.jqsrt.2020.106998
- Estimating Nighttime PM2.5 Concentration in Beijing Based on NPP/VIIRS Day/Night Band J. Deng et al. 10.3390/rs15020349
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- A simplified model of all-sky artificial sky glow derived from VIIRS Day/Night band data D. Duriscoe et al. 10.1016/j.jqsrt.2018.04.028
- Estimation of Ground-Level PM2.5 Concentration at Night in Beijing-Tianjin-Hebei Region with NPP/VIIRS Day/Night Band Y. Ma et al. 10.3390/rs15030825
- Mapping nighttime PM2.5 concentrations in Nanjing, China based on NPP/VIIRS nighttime light data H. Chen et al. 10.1016/j.atmosenv.2023.119767
- AOD Derivation from SDGSAT-1/GLI Dataset in Mega-City Area N. Wang et al. 10.3390/rs15051343
- Aerosol parameters for night sky brightness modelling estimated from daytime sky images M. Kocifaj et al. 10.1093/mnras/stad1570
- Aerosol characterization using satellite remote sensing of light pollution sources at night M. Kocifaj & S. Bará 10.1093/mnrasl/slaa060
- First lunar-light mapping of nighttime dust season oceanic aerosol optical depth over North Atlantic from space M. Zhou et al. 10.1016/j.rse.2024.114315
- Estimation of nighttime PM2.5 concentrations over Seoul using Suomi NPP/VIIRS Day/Night Band G. Choo et al. 10.1016/j.atmosenv.2024.120861
- Characterization and application of artificial light sources for nighttime aerosol optical depth retrievals using the Visible Infrared Imager Radiometer Suite Day/Night Band J. Zhang et al. 10.5194/amt-12-3209-2019
- Development of a nighttime shortwave radiative transfer model for remote sensing of nocturnal aerosols and fires from VIIRS J. Wang et al. 10.1016/j.rse.2020.111727
- 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. 10.5194/amt-16-2531-2023
- Nighttime fog and low stratus detection under multi-scene and all lunar phase conditions using S-NPP/VIIRS visible and infrared channels J. Jiang et al. 10.1016/j.isprsjprs.2024.10.014
- Retrieval of nighttime aerosol optical depth by simultaneous consideration of artificial and natural light sources Y. Meng et al. 10.1016/j.scitotenv.2023.166354
- Improved NOAA-20 Visible Infrared Imaging Radiometer Suite Day/Night Band Image Quality by Upgraded Gain Calibration Y. Gu et al. 10.3390/rs13132509
- Estimating Full-Coverage PM2.5 Concentrations Based on Himawari-8 and NAQPMS Data over Sichuan-Chongqing Q. Zeng et al. 10.3390/app12147065
- Observed Atmospheric Features for the 2022 Hunga Tonga Volcanic Eruption from Joint Polar Satellite System Science Data Products L. Zhou et al. 10.3390/atmos14020263
- Quantifying uncertainties in nighttime light retrievals from Suomi-NPP and NOAA-20 VIIRS Day/Night Band data Z. Wang et al. 10.1016/j.rse.2021.112557
- Retrieving nighttime aerosol optical depth using combined measurements of satellite low light channels and ground-based integrating spheres H. Li et al. 10.1080/01431161.2022.2118003
- Assessing the stability of surface lights for use in retrievals of nocturnal atmospheric parameters J. Solbrig et al. 10.5194/amt-13-165-2020
- Night-time monitoring of the aerosol content of the lower atmosphere by differential photometry of the anthropogenic skyglow M. Kocifaj & S. Bará 10.1093/mnrasl/slaa181
- Mapping nighttime PM2.5 from VIIRS DNB using a linear mixed-effect model D. Fu et al. 10.1016/j.atmosenv.2018.02.001
- Quantitative Analysis of Aerosol Influence on Suomi-NPP VIIRS Nighttime Light in China X. Wang et al. 10.1109/JSTARS.2020.3003480
- Optical Properties of Boundary Layer Aerosols From High Spectral Resolution Lidar Measurements in a Polluted Urban Environment (Seoul, Korea) S. Park et al. 10.1029/2023JD038523
- JPSS-1/NOAA-20 VIIRS Day-Night Band Prelaunch Radiometric Calibration and Performance T. Schwarting et al. 10.1109/TGRS.2019.2914011
- Urban nighttime aerosol optical depth retrieval methods from SDGSAT-1 glimmer data Y. Jiang et al. 10.1080/17538947.2024.2411822
- NASA's Black Marble nighttime lights product suite M. Román et al. 10.1016/j.rse.2018.03.017
- Angular distribution of upwelling artificial light in Europe as observed by Suomi–NPP satellite K. Tong et al. 10.1016/j.jqsrt.2020.107009
- Status and future of numerical atmospheric aerosol prediction with a focus on data requirements A. Benedetti et al. 10.5194/acp-18-10615-2018
2 citations as recorded by crossref.
- Planning, implementation, and scientific goals of the Studies of Emissions and Atmospheric Composition, Clouds and Climate Coupling by Regional Surveys (SEAC4RS) field mission O. Toon et al. 10.1002/2015JD024297
- The nature of the diffuse light near cities detected in nighttime satellite imagery A. Sanchez de Miguel et al. 10.1038/s41598-020-64673-2
Saved (final revised paper)
Latest update: 18 Nov 2024
Short summary
Using Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB) data, a new method is developed for retrieving nighttime aerosol optical thickness values through the examination of the dispersion of radiance values above an artificial light source. Preliminary results suggest that artificial light sources can be used for estimating regional and global nighttime aerosol distributions in the future.
Using Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB) data, a new method...
