Articles | Volume 10, issue 2
https://doi.org/10.5194/amt-10-491-2017
© Author(s) 2017. 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-10-491-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
13 Feb 2017
Research article |
| 13 Feb 2017
Post-processing to remove residual clouds from aerosol optical depth retrieved using the Advanced Along Track Scanning Radiometer
Larisa Sogacheva
CORRESPONDING AUTHOR
Climate Research, Finnish Meteorological Institute, Helsinki, 00560,
Finland
Pekka Kolmonen
Climate Research, Finnish Meteorological Institute, Helsinki, 00560,
Finland
Timo H. Virtanen
Climate Research, Finnish Meteorological Institute, Helsinki, 00560,
Finland
Edith Rodriguez
Climate Research, Finnish Meteorological Institute, Helsinki, 00560,
Finland
Giulia Saponaro
Climate Research, Finnish Meteorological Institute, Helsinki, 00560,
Finland
Gerrit de Leeuw
Climate Research, Finnish Meteorological Institute, Helsinki, 00560,
Finland
Department of Physics, University of Helsinki, Helsinki, 00560,
Finland
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Cited
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- Tropical and Boreal Forest – Atmosphere Interactions: A Review P. Artaxo et al. 10.16993/tellusb.34
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- Satellite-based evaluation of AeroCom model bias in biomass burning regions Q. Zhong et al. 10.5194/acp-22-11009-2022
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- SEVIRI Aerosol Optical Depth Validation Using AERONET and Intercomparison with MODIS in Central and Eastern Europe N. Ajtai et al. 10.3390/rs13050844
- Spatial and seasonal variations of aerosols over China from two decades of multi-satellite observations – Part 1: ATSR (1995–2011) and MODIS C6.1 (2000–2017) L. Sogacheva et al. 10.5194/acp-18-11389-2018
- Bayesian Cloud Detection over Land for Climate Data Records C. Bulgin et al. 10.3390/rs14092231
- Investigations into the development of a satellite-based aerosol climate data record using ATSR-2, AATSR and AVHRR data over north-eastern China from 1987 to 2012 Y. Che et al. 10.5194/amt-12-4091-2019
- Variations and photochemical transformations of atmospheric constituents in North China J. Bai et al. 10.1016/j.atmosenv.2018.07.004
- Summertime Aerosol Radiative Effects and Their Dependence on Temperature over the Southeastern USA T. Mielonen et al. 10.3390/atmos9050180
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- Monitoring multiple satellite aerosol optical depth (AOD) products within the Copernicus Atmosphere Monitoring Service (CAMS) data assimilation system S. Garrigues et al. 10.5194/acp-22-14657-2022
- XBAER-derived aerosol optical thickness from OLCI/Sentinel-3 observation L. Mei et al. 10.5194/acp-18-2511-2018
- An AeroCom–AeroSat study: intercomparison of satellite AOD datasets for aerosol model evaluation N. Schutgens et al. 10.5194/acp-20-12431-2020
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- Estimation of ground-level particulate matter concentrations through the synergistic use of satellite observations and process-based models over South Korea S. Park et al. 10.5194/acp-19-1097-2019
- A Critical Evaluation of Deep Blue Algorithm Derived AVHRR Aerosol Product Over China L. Mei et al. 10.1029/2018JD029929
- Mapping daily PM2.5 at 500 m resolution over Beijing with improved hazy day performance Y. Xie et al. 10.1016/j.scitotenv.2018.12.365
- 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. 10.1016/j.atmosres.2019.05.023
- Extended validation and evaluation of the OLCI–SLSTR SYNERGY aerosol product (SY_2_AOD) on Sentinel-3 L. Sogacheva et al. 10.5194/amt-15-5289-2022
- Two decades of satellite observations of AOD over mainland China using ATSR-2, AATSR and MODIS/Terra: data set evaluation and large-scale patterns G. de Leeuw et al. 10.5194/acp-18-1573-2018
- A Comprehensive Analysis of AOD and its Species from Reanalysis Data over the Middle East and North Africa Regions: Evaluation of Model Performance Using Machine Learning Techniques S. Berhane et al. 10.1007/s41748-024-00513-x
- Quantifying Uncertainty in Satellite-Retrieved Land Surface Temperature from Cloud Detection Errors C. Bulgin et al. 10.3390/rs10040616
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- Development, Production and Evaluation of Aerosol Climate Data Records from European Satellite Observations (Aerosol_cci) T. Popp et al. 10.3390/rs8050421
27 citations as recorded by crossref.
- Tropical and Boreal Forest – Atmosphere Interactions: A Review P. Artaxo et al. 10.16993/tellusb.34
- Aerosol Optical Depth over the Arctic Snow-Covered Regions Derived from Dual-Viewing Satellite Observations Z. Shi et al. 10.3390/rs11080891
- Analysis of aerosol effects on warm clouds over the Yangtze River Delta from multi-sensor satellite observations Y. Liu et al. 10.5194/acp-17-5623-2017
- Meteorological and anthropogenic contributions to changes in the Aerosol Optical Depth (AOD) over China during the last decade G. de Leeuw et al. 10.1016/j.atmosenv.2023.119676
- Satellite-based evaluation of AeroCom model bias in biomass burning regions Q. Zhong et al. 10.5194/acp-22-11009-2022
- Collocation mismatch uncertainties in satellite aerosol retrieval validation T. Virtanen et al. 10.5194/amt-11-925-2018
- Modulation of the ENSO on Winter Aerosol Pollution in the Eastern Region of China J. Sun et al. 10.1029/2018JD028534
- SEVIRI Aerosol Optical Depth Validation Using AERONET and Intercomparison with MODIS in Central and Eastern Europe N. Ajtai et al. 10.3390/rs13050844
- Spatial and seasonal variations of aerosols over China from two decades of multi-satellite observations – Part 1: ATSR (1995–2011) and MODIS C6.1 (2000–2017) L. Sogacheva et al. 10.5194/acp-18-11389-2018
- Bayesian Cloud Detection over Land for Climate Data Records C. Bulgin et al. 10.3390/rs14092231
- Investigations into the development of a satellite-based aerosol climate data record using ATSR-2, AATSR and AVHRR data over north-eastern China from 1987 to 2012 Y. Che et al. 10.5194/amt-12-4091-2019
- Variations and photochemical transformations of atmospheric constituents in North China J. Bai et al. 10.1016/j.atmosenv.2018.07.004
- Summertime Aerosol Radiative Effects and Their Dependence on Temperature over the Southeastern USA T. Mielonen et al. 10.3390/atmos9050180
- Spatial and seasonal variations of aerosols over China from two decades of multi-satellite observations – Part 2: AOD time series for 1995–2017 combined from ATSR ADV and MODIS C6.1 and AOD tendency estimations L. Sogacheva et al. 10.5194/acp-18-16631-2018
- Monitoring multiple satellite aerosol optical depth (AOD) products within the Copernicus Atmosphere Monitoring Service (CAMS) data assimilation system S. Garrigues et al. 10.5194/acp-22-14657-2022
- XBAER-derived aerosol optical thickness from OLCI/Sentinel-3 observation L. Mei et al. 10.5194/acp-18-2511-2018
- An AeroCom–AeroSat study: intercomparison of satellite AOD datasets for aerosol model evaluation N. Schutgens et al. 10.5194/acp-20-12431-2020
- Merging regional and global aerosol optical depth records from major available satellite products L. Sogacheva et al. 10.5194/acp-20-2031-2020
- Estimation of ground-level particulate matter concentrations through the synergistic use of satellite observations and process-based models over South Korea S. Park et al. 10.5194/acp-19-1097-2019
- A Critical Evaluation of Deep Blue Algorithm Derived AVHRR Aerosol Product Over China L. Mei et al. 10.1029/2018JD029929
- Mapping daily PM2.5 at 500 m resolution over Beijing with improved hazy day performance Y. Xie et al. 10.1016/j.scitotenv.2018.12.365
- 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. 10.1016/j.atmosres.2019.05.023
- Extended validation and evaluation of the OLCI–SLSTR SYNERGY aerosol product (SY_2_AOD) on Sentinel-3 L. Sogacheva et al. 10.5194/amt-15-5289-2022
- Two decades of satellite observations of AOD over mainland China using ATSR-2, AATSR and MODIS/Terra: data set evaluation and large-scale patterns G. de Leeuw et al. 10.5194/acp-18-1573-2018
- A Comprehensive Analysis of AOD and its Species from Reanalysis Data over the Middle East and North Africa Regions: Evaluation of Model Performance Using Machine Learning Techniques S. Berhane et al. 10.1007/s41748-024-00513-x
- Quantifying Uncertainty in Satellite-Retrieved Land Surface Temperature from Cloud Detection Errors C. Bulgin et al. 10.3390/rs10040616
- Air Quality over China G. de Leeuw et al. 10.3390/rs13173542
Latest update: 23 Nov 2024
Short summary
Clouds reflect solar light much more strongly than aerosol particles. Therefore, the retrieval of aerosol optical depth is usually only attempted over cloud-free areas. A very strict cloud detection scheme has to be applied to remove all cloudy pixels. However, often not all clouds are detected. To remove possibly cloud-contaminated pixels, a cloud post-processing algorithm has been designed, which effectively solves the problem and results in smoother AOD maps and improved validation results.
Clouds reflect solar light much more strongly than aerosol particles. Therefore, the retrieval...
