Articles | Volume 4, issue 11
https://doi.org/10.5194/amt-4-2543-2011
© Author(s) 2011. 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-4-2543-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
25 Nov 2011
Research article |
| 25 Nov 2011
Description and validation of an AOT product over land at the 0.6 μm channel of the SEVIRI sensor onboard MSG
E. Bernard
HYGEOS, Euratechnologies, 165 avenue de Bretagne, 59000 Lille, France
Laboratoire des Sciences du Climat et de l'Environnement, UMR8212, CEA-CNRS – Université de Versailles Saint-Quentin, Gif-sur-Yvette, France
C. Moulin
Laboratoire des Sciences du Climat et de l'Environnement, UMR8212, CEA-CNRS – Université de Versailles Saint-Quentin, Gif-sur-Yvette, France
D. Ramon
HYGEOS, Euratechnologies, 165 avenue de Bretagne, 59000 Lille, France
D. Jolivet
HYGEOS, Euratechnologies, 165 avenue de Bretagne, 59000 Lille, France
J. Riedi
Laboratoire d'Optique Atmosphérique, UMR8518, CNRS, Université de Lille 1 – Sciences et Technologies, Lille, France
J.-M. Nicolas
ICARE Data and Services Center, Université de Lille 1 – Sciences et Technologies, Lille, France
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Cited
14 citations as recorded by crossref.
- Estimation of the Hourly Aerosol Optical Depth From GOCI Geostationary Satellite Data: Deep Neural Network, Machine Learning, and Physical Models J. Yeom et al. 10.1109/TGRS.2021.3107542
- Assessment of aerosol optical properties using remote sensing over highly urbanised twin cities of Pakistan M. Awais et al. 10.1016/j.jastp.2018.04.008
- Monitoring aerosols over Europe: an assessment of the potential benefit of assimilating the VIS04 measurements from the future MTG/FCI geostationary imager M. Descheemaecker et al. 10.5194/amt-12-1251-2019
- Evaluation of satellite-based aerosol datasets and the CAMS reanalysis over the ocean utilizing shipborne reference observations J. Witthuhn et al. 10.5194/amt-13-1387-2020
- Near-Real-Time Application of SEVIRI Aerosol Optical Depth Algorithm O. Zawadzka-Manko et al. 10.3390/rs12091481
- Retrieval of Aerosol Optical Depth from Optimal Interpolation Approach Applied to SEVIRI Data O. Zawadzka & K. Markowicz 10.3390/rs6087182
- Quasi‐Global Maps of Daily Aerosol Optical Depth From a Ring of Five Geostationary Meteorological Satellites Using AERUS‐GEO X. Ceamanos et al. 10.1029/2021JD034906
- Retrieval of aerosol optical depth over land based on a time series technique using MSG/SEVIRI data L. Mei et al. 10.5194/acp-12-9167-2012
- AHI/Himawari-8 Yonsei Aerosol Retrieval (YAER): Algorithm, Validation and Merged Products H. Lim et al. 10.3390/rs10050699
- Evaluating the use of satellite observations to supplement ground-level air quality data in selected cities in low- and middle-income countries M. Alvarado et al. 10.1016/j.atmosenv.2019.117016
- Integration of GOCI and AHI Yonsei aerosol optical depth products during the 2016 KORUS-AQ and 2018 EMeRGe campaigns H. Lim et al. 10.5194/amt-14-4575-2021
- SEVIRI Aerosol Optical Depth Validation Using AERONET and Intercomparison with MODIS in Central and Eastern Europe N. Ajtai et al. 10.3390/rs13050844
- The Sub-Daily Variability of Aerosol Loading and Associated Radiative Forcing Over the Indian Region T. Mukherjee & V. Vinoj 10.3389/feart.2021.727169
- An evaluation of satellite aerosol products against sunphotometer measurements F. Bréon et al. 10.1016/j.rse.2011.06.017
13 citations as recorded by crossref.
- Estimation of the Hourly Aerosol Optical Depth From GOCI Geostationary Satellite Data: Deep Neural Network, Machine Learning, and Physical Models J. Yeom et al. 10.1109/TGRS.2021.3107542
- Assessment of aerosol optical properties using remote sensing over highly urbanised twin cities of Pakistan M. Awais et al. 10.1016/j.jastp.2018.04.008
- Monitoring aerosols over Europe: an assessment of the potential benefit of assimilating the VIS04 measurements from the future MTG/FCI geostationary imager M. Descheemaecker et al. 10.5194/amt-12-1251-2019
- Evaluation of satellite-based aerosol datasets and the CAMS reanalysis over the ocean utilizing shipborne reference observations J. Witthuhn et al. 10.5194/amt-13-1387-2020
- Near-Real-Time Application of SEVIRI Aerosol Optical Depth Algorithm O. Zawadzka-Manko et al. 10.3390/rs12091481
- Retrieval of Aerosol Optical Depth from Optimal Interpolation Approach Applied to SEVIRI Data O. Zawadzka & K. Markowicz 10.3390/rs6087182
- Quasi‐Global Maps of Daily Aerosol Optical Depth From a Ring of Five Geostationary Meteorological Satellites Using AERUS‐GEO X. Ceamanos et al. 10.1029/2021JD034906
- Retrieval of aerosol optical depth over land based on a time series technique using MSG/SEVIRI data L. Mei et al. 10.5194/acp-12-9167-2012
- AHI/Himawari-8 Yonsei Aerosol Retrieval (YAER): Algorithm, Validation and Merged Products H. Lim et al. 10.3390/rs10050699
- Evaluating the use of satellite observations to supplement ground-level air quality data in selected cities in low- and middle-income countries M. Alvarado et al. 10.1016/j.atmosenv.2019.117016
- Integration of GOCI and AHI Yonsei aerosol optical depth products during the 2016 KORUS-AQ and 2018 EMeRGe campaigns H. Lim et al. 10.5194/amt-14-4575-2021
- SEVIRI Aerosol Optical Depth Validation Using AERONET and Intercomparison with MODIS in Central and Eastern Europe N. Ajtai et al. 10.3390/rs13050844
- The Sub-Daily Variability of Aerosol Loading and Associated Radiative Forcing Over the Indian Region T. Mukherjee & V. Vinoj 10.3389/feart.2021.727169
1 citations as recorded by crossref.
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