Articles | Volume 7, issue 1
https://doi.org/10.5194/acp-7-97-2007
© Author(s) 2007. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
Special issue:
https://doi.org/10.5194/acp-7-97-2007
© Author(s) 2007. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
Validation of SCIAMACHY top-of-atmosphere reflectance for aerosol remote sensing using MERIS L1 data
W. von Hoyningen-Huene
Institute of Environmental Physics/Remote Sensing, University of Bremen, Germany
A. A. Kokhanovsky
Institute of Environmental Physics/Remote Sensing, University of Bremen, Germany
M. W. Wuttke
Institute of Environmental Physics/Remote Sensing, University of Bremen, Germany
M. Buchwitz
Institute of Environmental Physics/Remote Sensing, University of Bremen, Germany
S. Noël
Institute of Environmental Physics/Remote Sensing, University of Bremen, Germany
K. Gerilowski
Institute of Environmental Physics/Remote Sensing, University of Bremen, Germany
J. P. Burrows
Institute of Environmental Physics/Remote Sensing, University of Bremen, Germany
B. Latter
Space Science and Technology Department, Rutherford Appleton Laboratory, Chilton, UK
R. Siddans
Space Science and Technology Department, Rutherford Appleton Laboratory, Chilton, UK
B. J. Kerridge
Space Science and Technology Department, Rutherford Appleton Laboratory, Chilton, UK
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Cited
19 citations as recorded by crossref.
- The Intercomparison of Top-of-Atmosphere Reflectivity Measured by MERIS and SCIAMACHY in the Spectral Range of 443–865 nm A. Kokhanovsky et al. https://doi.org/10.1109/LGRS.2007.894159
- 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
- Estimation of the Hourly Aerosol Optical Depth From GOCI Geostationary Satellite Data: Deep Neural Network, Machine Learning, and Physical Models J. Yeom et al. https://doi.org/10.1109/TGRS.2021.3107542
- Development of an aerosol optical depth retrieval algorithm based on an improved scattering angle scheme for Advanced Himawari Imager observations J. Jin et al. https://doi.org/10.1016/j.atmosres.2025.107944
- Retrieval of Aerosol Optical Thickness Using MODIS $ \hbox{500} \times \hbox{500}\ \hbox{m}^{2}$, a Study in Hong Kong and the Pearl River Delta Region . Man Sing Wong et al. https://doi.org/10.1109/TGRS.2010.2045124
- Satellite remote sensing of Asian aerosols: a case study of clean, polluted, and Asian dust storm days K. Lee & Y. Kim https://doi.org/10.5194/amt-3-1771-2010
- Review of Atmospheric Environmental Change from Earth Observing Satellites K. Lee et al. https://doi.org/10.5572/ajae.2021.147
- High-resolution satellite-based analysis of ground-level PM 2.5 for the city of Montreal B. Wang & Z. Chen https://doi.org/10.1016/j.scitotenv.2015.10.024
- Calibration Comparison Between SCIAMACHY and MERIS Onboard ENVISAT J. Acarreta & P. Stammes https://doi.org/10.1109/LGRS.2004.838348
- Aerosol retrieval algorithm for the characterization of local aerosol using MODIS L1B data A. Wahab & M. Sarker https://doi.org/10.1088/1755-1315/18/1/012098
- Shortwave Spectral Radiative Signatures and Their Physical Controls J. Gristey et al. https://doi.org/10.1175/JCLI-D-18-0815.1
- Utilizing deep learning techniques in operational system of geo-KOMPSAT-2A satellite for estimating solar radiation and aerosol optical depth J. Ha et al. https://doi.org/10.1080/15481603.2026.2658318
- The Comparison of Spectral Top-of-Atmosphere Reflectances Measured by AATSR, MERIS, and SCIAMACHY Onboard ENVISAT A. Kokhanovsky et al. https://doi.org/10.1109/LGRS.2007.907970
- Reducing the Uncertainties in Direct Aerosol Radiative Forcing R. Kahn https://doi.org/10.1007/s10712-011-9153-z
- Arctic smoke – aerosol characteristics during a record smoke event in the European Arctic and its radiative impact R. Treffeisen et al. https://doi.org/10.5194/acp-7-3035-2007
- Validation of MODIS, MISR, OMI, and CALIPSO aerosol optical thickness using ground-based sunphotometers in Hong Kong M. Wong et al. https://doi.org/10.1080/01431161.2012.720739
- Analytical approach to estimating aerosol extinction and visibility from satellite observations K. Lee et al. https://doi.org/10.1016/j.atmosenv.2014.03.050
- Measuring atmospheric composition change P. Laj et al. https://doi.org/10.1016/j.atmosenv.2009.08.020
- Retrieval of aerosol mass load (PM10) from MERIS/Envisat top of atmosphere spectral reflectance measurements over Germany G. Rohen et al. https://doi.org/10.5194/amt-4-523-2011
19 citations as recorded by crossref.
- The Intercomparison of Top-of-Atmosphere Reflectivity Measured by MERIS and SCIAMACHY in the Spectral Range of 443–865 nm A. Kokhanovsky et al. https://doi.org/10.1109/LGRS.2007.894159
- 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
- Estimation of the Hourly Aerosol Optical Depth From GOCI Geostationary Satellite Data: Deep Neural Network, Machine Learning, and Physical Models J. Yeom et al. https://doi.org/10.1109/TGRS.2021.3107542
- Development of an aerosol optical depth retrieval algorithm based on an improved scattering angle scheme for Advanced Himawari Imager observations J. Jin et al. https://doi.org/10.1016/j.atmosres.2025.107944
- Retrieval of Aerosol Optical Thickness Using MODIS $ \hbox{500} \times \hbox{500}\ \hbox{m}^{2}$, a Study in Hong Kong and the Pearl River Delta Region . Man Sing Wong et al. https://doi.org/10.1109/TGRS.2010.2045124
- Satellite remote sensing of Asian aerosols: a case study of clean, polluted, and Asian dust storm days K. Lee & Y. Kim https://doi.org/10.5194/amt-3-1771-2010
- Review of Atmospheric Environmental Change from Earth Observing Satellites K. Lee et al. https://doi.org/10.5572/ajae.2021.147
- High-resolution satellite-based analysis of ground-level PM 2.5 for the city of Montreal B. Wang & Z. Chen https://doi.org/10.1016/j.scitotenv.2015.10.024
- Calibration Comparison Between SCIAMACHY and MERIS Onboard ENVISAT J. Acarreta & P. Stammes https://doi.org/10.1109/LGRS.2004.838348
- Aerosol retrieval algorithm for the characterization of local aerosol using MODIS L1B data A. Wahab & M. Sarker https://doi.org/10.1088/1755-1315/18/1/012098
- Shortwave Spectral Radiative Signatures and Their Physical Controls J. Gristey et al. https://doi.org/10.1175/JCLI-D-18-0815.1
- Utilizing deep learning techniques in operational system of geo-KOMPSAT-2A satellite for estimating solar radiation and aerosol optical depth J. Ha et al. https://doi.org/10.1080/15481603.2026.2658318
- The Comparison of Spectral Top-of-Atmosphere Reflectances Measured by AATSR, MERIS, and SCIAMACHY Onboard ENVISAT A. Kokhanovsky et al. https://doi.org/10.1109/LGRS.2007.907970
- Reducing the Uncertainties in Direct Aerosol Radiative Forcing R. Kahn https://doi.org/10.1007/s10712-011-9153-z
- Arctic smoke – aerosol characteristics during a record smoke event in the European Arctic and its radiative impact R. Treffeisen et al. https://doi.org/10.5194/acp-7-3035-2007
- Validation of MODIS, MISR, OMI, and CALIPSO aerosol optical thickness using ground-based sunphotometers in Hong Kong M. Wong et al. https://doi.org/10.1080/01431161.2012.720739
- Analytical approach to estimating aerosol extinction and visibility from satellite observations K. Lee et al. https://doi.org/10.1016/j.atmosenv.2014.03.050
- Measuring atmospheric composition change P. Laj et al. https://doi.org/10.1016/j.atmosenv.2009.08.020
- Retrieval of aerosol mass load (PM10) from MERIS/Envisat top of atmosphere spectral reflectance measurements over Germany G. Rohen et al. https://doi.org/10.5194/amt-4-523-2011
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