Articles | Volume 11, issue 6
https://doi.org/10.5194/amt-11-3263-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-11-3263-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A weighted least squares approach to retrieve aerosol layer height over bright surfaces applied to GOME-2 measurements of the oxygen A band for forest fire cases over Europe
Swadhin Nanda
CORRESPONDING AUTHOR
Royal Netherlands Meteorological Institute (KNMI),
Utrechtseweg 297, 3731 GA De Bilt, the Netherlands
Delft University of Technology (TU Delft), Mekelweg 2, 2628
CD Delft, the Netherlands
J. Pepijn Veefkind
Royal Netherlands Meteorological Institute (KNMI),
Utrechtseweg 297, 3731 GA De Bilt, the Netherlands
Delft University of Technology (TU Delft), Mekelweg 2, 2628
CD Delft, the Netherlands
Martin de Graaf
Royal Netherlands Meteorological Institute (KNMI),
Utrechtseweg 297, 3731 GA De Bilt, the Netherlands
Maarten Sneep
Royal Netherlands Meteorological Institute (KNMI),
Utrechtseweg 297, 3731 GA De Bilt, the Netherlands
Piet Stammes
Royal Netherlands Meteorological Institute (KNMI),
Utrechtseweg 297, 3731 GA De Bilt, the Netherlands
Johan F. de Haan
Royal Netherlands Meteorological Institute (KNMI),
Utrechtseweg 297, 3731 GA De Bilt, the Netherlands
Abram F. J. Sanders
University of Bremen, Institute of Environmental Physics,
Otto-Hahn-Allee 1, 28359 Bremen, Germany
Arnoud Apituley
Royal Netherlands Meteorological Institute (KNMI),
Utrechtseweg 297, 3731 GA De Bilt, the Netherlands
Olaf Tuinder
Royal Netherlands Meteorological Institute (KNMI),
Utrechtseweg 297, 3731 GA De Bilt, the Netherlands
Pieternel F. Levelt
Royal Netherlands Meteorological Institute (KNMI),
Utrechtseweg 297, 3731 GA De Bilt, the Netherlands
Delft University of Technology (TU Delft), Mekelweg 2, 2628
CD Delft, the Netherlands
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Cited
10 citations as recorded by crossref.
- Aerosol Layer Height With Enhanced Spectral Coverage Achieved by Synergy Between VIIRS and OMPS-NM Measurements J. Lee et al. 10.1109/LGRS.2020.2992099
- Estimation of Aerosol Layer Height from OLCI Measurements in the O2A-Absorption Band over Oceans L. Jänicke et al. 10.3390/rs15164080
- Aerosol profiling using radiometric and polarimetric spectral measurements in the O2 near infrared bands: Estimation of information content and measurement uncertainties M. Choi et al. 10.1016/j.rse.2020.112179
- Design and Verification of a Double-Grating Spectrometer System (DGSS) for Simultaneous Observation of Aerosols, Water Vapor and Clouds J. Li et al. 10.3390/rs14102492
- A first comparison of TROPOMI aerosol layer height (ALH) to CALIOP data S. Nanda et al. 10.5194/amt-13-3043-2020
- First retrieval of absorbing aerosol height over dark target using TROPOMI oxygen B band: Algorithm development and application for surface particulate matter estimates X. Chen et al. 10.1016/j.rse.2021.112674
- Retrieving High Temporal Resolution Aerosol Layer Height From EPIC/DSCOVR Using Machine Learning Method X. Tian et al. 10.1109/TGRS.2024.3405186
- Hyperspectral Satellite Remote Sensing of Aerosol Parameters: Sensitivity Analysis and Application to TROPOMI/S5P L. Rao et al. 10.3389/fenvs.2021.770662
- A neural network radiative transfer model approach applied to the Tropospheric Monitoring Instrument aerosol height algorithm S. Nanda et al. 10.5194/amt-12-6619-2019
- Assessment of smoke plume height products derived from multisource satellite observations using lidar-derived height metrics for wildfires in the western US J. Huang et al. 10.5194/acp-24-3673-2024
10 citations as recorded by crossref.
- Aerosol Layer Height With Enhanced Spectral Coverage Achieved by Synergy Between VIIRS and OMPS-NM Measurements J. Lee et al. 10.1109/LGRS.2020.2992099
- Estimation of Aerosol Layer Height from OLCI Measurements in the O2A-Absorption Band over Oceans L. Jänicke et al. 10.3390/rs15164080
- Aerosol profiling using radiometric and polarimetric spectral measurements in the O2 near infrared bands: Estimation of information content and measurement uncertainties M. Choi et al. 10.1016/j.rse.2020.112179
- Design and Verification of a Double-Grating Spectrometer System (DGSS) for Simultaneous Observation of Aerosols, Water Vapor and Clouds J. Li et al. 10.3390/rs14102492
- A first comparison of TROPOMI aerosol layer height (ALH) to CALIOP data S. Nanda et al. 10.5194/amt-13-3043-2020
- First retrieval of absorbing aerosol height over dark target using TROPOMI oxygen B band: Algorithm development and application for surface particulate matter estimates X. Chen et al. 10.1016/j.rse.2021.112674
- Retrieving High Temporal Resolution Aerosol Layer Height From EPIC/DSCOVR Using Machine Learning Method X. Tian et al. 10.1109/TGRS.2024.3405186
- Hyperspectral Satellite Remote Sensing of Aerosol Parameters: Sensitivity Analysis and Application to TROPOMI/S5P L. Rao et al. 10.3389/fenvs.2021.770662
- A neural network radiative transfer model approach applied to the Tropospheric Monitoring Instrument aerosol height algorithm S. Nanda et al. 10.5194/amt-12-6619-2019
- Assessment of smoke plume height products derived from multisource satellite observations using lidar-derived height metrics for wildfires in the western US J. Huang et al. 10.5194/acp-24-3673-2024
Latest update: 22 Nov 2024
Short summary
An approach to estimate the height of aerosol plumes over land from satellite measurements of the oxygen A band is proposed. The method, termed dynamic scaling, forces the retrieval to use spectral points that contain more height information. The method is tested in a synthetic environment as well as with GOME-2A and GOME-2B measurements of wildfire plumes over Europe, with very encouraging results. This method can be easily applied to other aerosol height algorithms using least squares.
An approach to estimate the height of aerosol plumes over land from satellite measurements of...