Articles | Volume 18, issue 4
https://doi.org/10.5194/acp-18-2511-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-18-2511-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
20 Feb 2018
Research article |
| 20 Feb 2018
XBAER-derived aerosol optical thickness from OLCI/Sentinel-3 observation
Linlu Mei
CORRESPONDING AUTHOR
Institute of Environmental Physics, University of Bremen, Bremen, Germany
Vladimir Rozanov
Institute of Environmental Physics, University of Bremen, Bremen, Germany
Marco Vountas
Institute of Environmental Physics, University of Bremen, Bremen, Germany
John P. Burrows
Institute of Environmental Physics, University of Bremen, Bremen, Germany
Andreas Richter
Institute of Environmental Physics, University of Bremen, Bremen, Germany
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Cited
25 citations as recorded by crossref.
- SCIATRAN software package (V4.6): update and further development of aerosol, clouds, surface reflectance databases and models L. Mei et al. https://doi.org/10.5194/gmd-16-1511-2023
- Aerosol optical depth retrieval from the EarthCARE Multi-Spectral Imager: the M-AOT product N. Docter et al. https://doi.org/10.5194/amt-16-3437-2023
- Retrieval of Aerosol Optical Thickness in the Arctic Snow-Covered Regions Using Passive Remote Sensing: Impact of Aerosol Typing and Surface Reflection Model L. Mei et al. https://doi.org/10.1109/TGRS.2020.2972339
- Remote sensing of rural clean heating impacts on air quality: An STL-Q3 framework in Henan Province, China Y. Yang et al. https://doi.org/10.1016/j.rsase.2026.102126
- SEVIRI Aerosol Optical Depth Validation Using AERONET and Intercomparison with MODIS in Central and Eastern Europe N. Ajtai et al. https://doi.org/10.3390/rs13050844
- On the retrieval of aerosol optical depth over cryosphere using passive remote sensing L. Mei et al. https://doi.org/10.1016/j.rse.2020.111731
- A Critical Evaluation of Deep Blue Algorithm Derived AVHRR Aerosol Product Over China L. Mei et al. https://doi.org/10.1029/2018JD029929
- A fast and accurate radiative transfer model for aerosol remote sensing L. Mei et al. https://doi.org/10.1016/j.jqsrt.2020.107270
- Extending XBAER Algorithm to Aerosol and Cloud Condition L. Mei et al. https://doi.org/10.1109/TGRS.2019.2919910
- Application of XBAER aerosol optical depth retrieval algorithm to hyperspectral EnMAP satellite data S. Laffoy et al. https://doi.org/10.5194/amt-19-293-2026
- Tempo-spatial patterns of PM2.5 measured using a portable particulate monitor around a mine complex in Canada’s Arctic W. Chen et al. https://doi.org/10.1007/s10661-021-09376-5
- An Improved Aerosol Optical Depth Retrieval Algorithm for Multiangle Directional Polarimetric Camera (DPC) B. Ge et al. https://doi.org/10.3390/rs14164045
- Atmospheric aerosol measurements from the ATSR-SLSTR series of dual-view satellite instruments 1995–2022 K. Pearson et al. https://doi.org/10.1038/s41597-025-04694-6
- The retrieval of ice cloud parameters from multi-spectral satellite observations of reflectance using a modified XBAER algorithm L. Mei et al. https://doi.org/10.1016/j.rse.2018.06.007
- A novel approach of Landsat 8 imagery to predict PM2.5 concentrations in a south-eastern coastal city of China L. Yang https://doi.org/10.1088/1755-1315/619/1/012046
- Properties of aerosol and surface derived from OLCI/Sentinel-3A using GRASP approach: Retrieval development and preliminary validation C. Chen et al. https://doi.org/10.1016/j.rse.2022.113142
- A study of the impact of spatial resolution on the estimation of particle matter concentration from the aerosol optical depth retrieved from satellite observations L. Mei et al. https://doi.org/10.1080/01431161.2019.1601279
- Estimating ground-level particulate matter concentrations using satellite-based data: a review M. Shin et al. https://doi.org/10.1080/15481603.2019.1703288
- Understanding MODIS dark-target collection 5 and 6 aerosol data over China: Effect of surface type, aerosol loading and aerosol absorption L. Mei et al. https://doi.org/10.1016/j.atmosres.2019.05.023
- Time series retrieval of Multi-wavelength Aerosol optical depth by adapting Transformer (TMAT) using Himawari-8 AHI data L. She et al. https://doi.org/10.1016/j.rse.2024.114115
- Possible influence of sudden stratospheric warmings on the atmospheric environment in the Beijing–Tianjin–Hebei region Q. Lu et al. https://doi.org/10.5194/acp-22-13087-2022
- Validation of Aerosol Products from AATSR and MERIS/AATSR Synergy Algorithms—Part 1: Global Evaluation Y. Che et al. https://doi.org/10.3390/rs10091414
- A generalized land surface reflectance reconstruction method for aerosol retrieval: Application to the Particulate Observing Scanning Polarimeter (POSP) onboard GaoFen-5 (02) satellite Z. Shi et al. https://doi.org/10.1016/j.rse.2023.113683
- AeroTrans: Hourly AOD retrieval over land from MSG-1/SEVIRI imagery integrating Transformer and transfer learning Y. Fan et al. https://doi.org/10.1016/j.rse.2026.115268
- Aerosol and cloud retrieval algorithm of TANSO-3/GOSAT-GW: theoretical basis and validations during the 2024 ASIA-AQ campaign using the TROPOMI observations as a testbed H. Lim et al. https://doi.org/10.1186/s40645-026-00820-z
25 citations as recorded by crossref.
- SCIATRAN software package (V4.6): update and further development of aerosol, clouds, surface reflectance databases and models L. Mei et al. https://doi.org/10.5194/gmd-16-1511-2023
- Aerosol optical depth retrieval from the EarthCARE Multi-Spectral Imager: the M-AOT product N. Docter et al. https://doi.org/10.5194/amt-16-3437-2023
- Retrieval of Aerosol Optical Thickness in the Arctic Snow-Covered Regions Using Passive Remote Sensing: Impact of Aerosol Typing and Surface Reflection Model L. Mei et al. https://doi.org/10.1109/TGRS.2020.2972339
- Remote sensing of rural clean heating impacts on air quality: An STL-Q3 framework in Henan Province, China Y. Yang et al. https://doi.org/10.1016/j.rsase.2026.102126
- SEVIRI Aerosol Optical Depth Validation Using AERONET and Intercomparison with MODIS in Central and Eastern Europe N. Ajtai et al. https://doi.org/10.3390/rs13050844
- On the retrieval of aerosol optical depth over cryosphere using passive remote sensing L. Mei et al. https://doi.org/10.1016/j.rse.2020.111731
- A Critical Evaluation of Deep Blue Algorithm Derived AVHRR Aerosol Product Over China L. Mei et al. https://doi.org/10.1029/2018JD029929
- A fast and accurate radiative transfer model for aerosol remote sensing L. Mei et al. https://doi.org/10.1016/j.jqsrt.2020.107270
- Extending XBAER Algorithm to Aerosol and Cloud Condition L. Mei et al. https://doi.org/10.1109/TGRS.2019.2919910
- Application of XBAER aerosol optical depth retrieval algorithm to hyperspectral EnMAP satellite data S. Laffoy et al. https://doi.org/10.5194/amt-19-293-2026
- Tempo-spatial patterns of PM2.5 measured using a portable particulate monitor around a mine complex in Canada’s Arctic W. Chen et al. https://doi.org/10.1007/s10661-021-09376-5
- An Improved Aerosol Optical Depth Retrieval Algorithm for Multiangle Directional Polarimetric Camera (DPC) B. Ge et al. https://doi.org/10.3390/rs14164045
- Atmospheric aerosol measurements from the ATSR-SLSTR series of dual-view satellite instruments 1995–2022 K. Pearson et al. https://doi.org/10.1038/s41597-025-04694-6
- The retrieval of ice cloud parameters from multi-spectral satellite observations of reflectance using a modified XBAER algorithm L. Mei et al. https://doi.org/10.1016/j.rse.2018.06.007
- A novel approach of Landsat 8 imagery to predict PM2.5 concentrations in a south-eastern coastal city of China L. Yang https://doi.org/10.1088/1755-1315/619/1/012046
- Properties of aerosol and surface derived from OLCI/Sentinel-3A using GRASP approach: Retrieval development and preliminary validation C. Chen et al. https://doi.org/10.1016/j.rse.2022.113142
- A study of the impact of spatial resolution on the estimation of particle matter concentration from the aerosol optical depth retrieved from satellite observations L. Mei et al. https://doi.org/10.1080/01431161.2019.1601279
- Estimating ground-level particulate matter concentrations using satellite-based data: a review M. Shin et al. https://doi.org/10.1080/15481603.2019.1703288
- Understanding MODIS dark-target collection 5 and 6 aerosol data over China: Effect of surface type, aerosol loading and aerosol absorption L. Mei et al. https://doi.org/10.1016/j.atmosres.2019.05.023
- Time series retrieval of Multi-wavelength Aerosol optical depth by adapting Transformer (TMAT) using Himawari-8 AHI data L. She et al. https://doi.org/10.1016/j.rse.2024.114115
- Possible influence of sudden stratospheric warmings on the atmospheric environment in the Beijing–Tianjin–Hebei region Q. Lu et al. https://doi.org/10.5194/acp-22-13087-2022
- Validation of Aerosol Products from AATSR and MERIS/AATSR Synergy Algorithms—Part 1: Global Evaluation Y. Che et al. https://doi.org/10.3390/rs10091414
- A generalized land surface reflectance reconstruction method for aerosol retrieval: Application to the Particulate Observing Scanning Polarimeter (POSP) onboard GaoFen-5 (02) satellite Z. Shi et al. https://doi.org/10.1016/j.rse.2023.113683
- AeroTrans: Hourly AOD retrieval over land from MSG-1/SEVIRI imagery integrating Transformer and transfer learning Y. Fan et al. https://doi.org/10.1016/j.rse.2026.115268
- Aerosol and cloud retrieval algorithm of TANSO-3/GOSAT-GW: theoretical basis and validations during the 2024 ASIA-AQ campaign using the TROPOMI observations as a testbed H. Lim et al. https://doi.org/10.1186/s40645-026-00820-z
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