Articles | Volume 6, issue 2
https://doi.org/10.5194/amt-6-471-2013
© Author(s) 2013. 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-6-471-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
26 Feb 2013
Research article |
| 26 Feb 2013
Aerosol optical depth (AOD) retrieval using simultaneous GOES-East and GOES-West reflected radiances over the western United States
H. Zhang
Joint Center for Earth Systems Technology (JCET), University of Maryland Baltimore County, Baltimore, MD, USA
I.M. Systems Group, College Park, MD, USA
R. M. Hoff
Joint Center for Earth Systems Technology (JCET), University of Maryland Baltimore County, Baltimore, MD, USA
S. Kondragunta
NOAA/NESDIS/STAR, College Park, MD, USA
I. Laszlo
NOAA/NESDIS/STAR, College Park, MD, USA
A. Lyapustin
NASA/GSFC, Greenbelt, MD, USA
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Cited
18 citations as recorded by crossref.
- Constraining Aerosol Phase Function Using Dual‐View Geostationary Satellites Q. Bian et al. 10.1029/2021JD035209
- 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
- Application of low-cost fine particulate mass monitors to convert satellite aerosol optical depth to surface concentrations in North America and Africa C. Malings et al. 10.5194/amt-13-3873-2020
- Retrieval of Aerosol Optical Depth from Optimal Interpolation Approach Applied to SEVIRI Data O. Zawadzka & K. Markowicz 10.3390/rs6087182
- A Modified Aerosol Free Vegetation Index Algorithm for Aerosol Optical Depth Retrieval Using GOSAT TANSO-CAI Data G. Zhong et al. 10.3390/rs8120998
- Tropospheric emissions: Monitoring of pollution (TEMPO) P. Zoogman et al. 10.1016/j.jqsrt.2016.05.008
- Joint Retrieval of Aerosol Optical Depth and Surface Reflectance Over Land Using Geostationary Satellite Data L. She et al. 10.1109/TGRS.2018.2867000
- Application of satellite remote sensing data and random forest approach to estimate ground-level PM2.5 concentration in Northern region of Thailand P. Wongnakae et al. 10.1007/s11356-023-28698-0
- Estimation of hourly full-coverage PM2.5 concentrations at 1-km resolution in China using a two-stage random forest model T. Jiang et al. 10.1016/j.atmosres.2020.105146
- An Improved Aerosol Retrieval Algorithm for FY-4A/AGRI Data Based on the GRASP Framework H. Wang et al. 10.1109/TGRS.2025.3546614
- SEVIRI Aerosol Optical Depth Validation Using AERONET and Intercomparison with MODIS in Central and Eastern Europe N. Ajtai et al. 10.3390/rs13050844
- An algorithm for hyperspectral remote sensing of aerosols: 3. Application to the GEO-TASO data in KORUS-AQ field campaign W. Hou et al. 10.1016/j.jqsrt.2020.107161
- Multiresolution Analysis of HRRR Meteorological Parameters and GOES-R AOD for Hourly PM2.5 Prediction D. Pruthi et al. 10.1021/acs.est.4c03795
- Consistent retrieval of multiple parameters from GOES-R top of atmosphere reflectance data H. Xiong et al. 10.1080/01431161.2020.1766151
- MAGARA: a Multi-Angle Geostationary Aerosol Retrieval Algorithm J. Limbacher et al. 10.5194/amt-17-471-2024
- Satellite remote sensing of aerosol optical depth: advances, challenges, and perspectives X. Wei et al. 10.1080/10643389.2019.1665944
- A Dark Target Algorithm for the GOSAT TANSO-CAI Sensor in Aerosol Optical Depth Retrieval over Land G. Zhong et al. 10.3390/rs9060524
- Nighttime smoke aerosol optical depth over U.S. rural areas: First retrieval from VIIRS moonlight observations M. Zhou et al. 10.1016/j.rse.2021.112717
18 citations as recorded by crossref.
- Constraining Aerosol Phase Function Using Dual‐View Geostationary Satellites Q. Bian et al. 10.1029/2021JD035209
- 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
- Application of low-cost fine particulate mass monitors to convert satellite aerosol optical depth to surface concentrations in North America and Africa C. Malings et al. 10.5194/amt-13-3873-2020
- Retrieval of Aerosol Optical Depth from Optimal Interpolation Approach Applied to SEVIRI Data O. Zawadzka & K. Markowicz 10.3390/rs6087182
- A Modified Aerosol Free Vegetation Index Algorithm for Aerosol Optical Depth Retrieval Using GOSAT TANSO-CAI Data G. Zhong et al. 10.3390/rs8120998
- Tropospheric emissions: Monitoring of pollution (TEMPO) P. Zoogman et al. 10.1016/j.jqsrt.2016.05.008
- Joint Retrieval of Aerosol Optical Depth and Surface Reflectance Over Land Using Geostationary Satellite Data L. She et al. 10.1109/TGRS.2018.2867000
- Application of satellite remote sensing data and random forest approach to estimate ground-level PM2.5 concentration in Northern region of Thailand P. Wongnakae et al. 10.1007/s11356-023-28698-0
- Estimation of hourly full-coverage PM2.5 concentrations at 1-km resolution in China using a two-stage random forest model T. Jiang et al. 10.1016/j.atmosres.2020.105146
- An Improved Aerosol Retrieval Algorithm for FY-4A/AGRI Data Based on the GRASP Framework H. Wang et al. 10.1109/TGRS.2025.3546614
- SEVIRI Aerosol Optical Depth Validation Using AERONET and Intercomparison with MODIS in Central and Eastern Europe N. Ajtai et al. 10.3390/rs13050844
- An algorithm for hyperspectral remote sensing of aerosols: 3. Application to the GEO-TASO data in KORUS-AQ field campaign W. Hou et al. 10.1016/j.jqsrt.2020.107161
- Multiresolution Analysis of HRRR Meteorological Parameters and GOES-R AOD for Hourly PM2.5 Prediction D. Pruthi et al. 10.1021/acs.est.4c03795
- Consistent retrieval of multiple parameters from GOES-R top of atmosphere reflectance data H. Xiong et al. 10.1080/01431161.2020.1766151
- MAGARA: a Multi-Angle Geostationary Aerosol Retrieval Algorithm J. Limbacher et al. 10.5194/amt-17-471-2024
- Satellite remote sensing of aerosol optical depth: advances, challenges, and perspectives X. Wei et al. 10.1080/10643389.2019.1665944
- A Dark Target Algorithm for the GOSAT TANSO-CAI Sensor in Aerosol Optical Depth Retrieval over Land G. Zhong et al. 10.3390/rs9060524
- Nighttime smoke aerosol optical depth over U.S. rural areas: First retrieval from VIIRS moonlight observations M. Zhou et al. 10.1016/j.rse.2021.112717
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