Articles | Volume 13, issue 12
https://doi.org/10.5194/amt-13-6407-2020
© Author(s) 2020. 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-13-6407-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
30 Nov 2020
Research article |
| 30 Nov 2020
| 30 Nov 2020
Effects of clouds on the UV Absorbing Aerosol Index from TROPOMI
R&D Satellite Observations Department, Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
Piet Stammes
R&D Satellite Observations Department, Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
Victor Trees
R&D Satellite Observations Department, Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
Maarten Sneep
R&D Satellite Observations Department, Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
L. Gijsbert Tilstra
R&D Satellite Observations Department, Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
Martin de Graaf
R&D Satellite Observations Department, Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
Deborah C. Stein Zweers
R&D Satellite Observations Department, Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
Ping Wang
R&D Satellite Observations Department, Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
Olaf N. E. Tuinder
R&D Satellite Observations Department, Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
J. Pepijn Veefkind
R&D Satellite Observations Department, Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
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Cited
17 citations as recorded by crossref.
- Successful Derivation of Absorbing Aerosol Index from the Environmental Trace Gases Monitoring Instrument (EMI) F. Tang et al. 10.3390/rs14164105
- The 2019 Raikoke volcanic eruption – Part 1: Dispersion model simulations and satellite retrievals of volcanic sulfur dioxide J. de Leeuw et al. 10.5194/acp-21-10851-2021
- An approach to track instrument calibration and produce consistent products with the version-8 total column ozone algorithm (V8TOZ) Z. Zhang et al. 10.5194/amt-16-2919-2023
- EUNADICS-AV early warning system dedicated to supporting aviation in the case of a crisis from natural airborne hazards and radionuclide clouds H. Brenot et al. 10.5194/nhess-21-3367-2021
- A Statistical Algorithm for Retrieving Background Value of Absorbing Aerosol Index Based on TROPOMI Measurements F. Tang et al. 10.1007/s00376-022-2093-3
- Monitoring of Carbon Monoxide (CO) changes in the atmosphere and urban environmental indices extracted from remote sensing images for 932 Iran cities from 2019 to 2021 M. Mansourmoghaddam et al. 10.1080/17538947.2023.2196445
- In-Flight Preliminary Performance of GF-5B/Absorbing Aerosol Sensor Y. Wang et al. 10.3390/rs15174343
- Cancellation of cloud shadow effects in the absorbing aerosol index retrieval algorithm of TROPOMI V. Trees et al. 10.5194/amt-18-73-2025
- Environmental impacts of shifts in surface urban heat island, emissions, and nighttime light during the Russia–Ukraine war in Ukrainian cities G. Roshan et al. 10.1007/s11356-024-34050-x
- Restoring the top-of-atmosphere reflectance during solar eclipses: a proof of concept with the UV absorbing aerosol index measured by TROPOMI V. Trees et al. 10.5194/acp-21-8593-2021
- Air quality—climate forcing double whammy from domestic firelighters C. Lin et al. 10.1038/s41612-023-00427-x
- A Bayesian Framework to Quantify Uncertainty in Aerosol Optical Model Selection Applied to TROPOMI Measurements A. Kauppi et al. 10.3390/rs16111945
- Impact of 3D cloud structures on the atmospheric trace gas products from UV–Vis sounders – Part 3: Bias estimate using synthetic and observational data A. Kylling et al. 10.5194/amt-15-3481-2022
- First Results of Absorbing Aerosol Index From the Absorbing Aerosol Sensor Onboard Gaofen-5B Z. Zhang et al. 10.1109/JSTARS.2024.3439014
- Improved Absorbing Aerosol Index Results for EMI on Board Atmospheric Environment Monitoring Satellite F. Tang et al. 10.1109/JSTARS.2025.3540510
- Combining Machine Learning and Numerical Simulation for High-Resolution PM2.5 Concentration Forecast J. Bi et al. 10.1021/acs.est.1c05578
- DARCLOS: a cloud shadow detection algorithm for TROPOMI V. Trees et al. 10.5194/amt-15-3121-2022
17 citations as recorded by crossref.
- Successful Derivation of Absorbing Aerosol Index from the Environmental Trace Gases Monitoring Instrument (EMI) F. Tang et al. 10.3390/rs14164105
- The 2019 Raikoke volcanic eruption – Part 1: Dispersion model simulations and satellite retrievals of volcanic sulfur dioxide J. de Leeuw et al. 10.5194/acp-21-10851-2021
- An approach to track instrument calibration and produce consistent products with the version-8 total column ozone algorithm (V8TOZ) Z. Zhang et al. 10.5194/amt-16-2919-2023
- EUNADICS-AV early warning system dedicated to supporting aviation in the case of a crisis from natural airborne hazards and radionuclide clouds H. Brenot et al. 10.5194/nhess-21-3367-2021
- A Statistical Algorithm for Retrieving Background Value of Absorbing Aerosol Index Based on TROPOMI Measurements F. Tang et al. 10.1007/s00376-022-2093-3
- Monitoring of Carbon Monoxide (CO) changes in the atmosphere and urban environmental indices extracted from remote sensing images for 932 Iran cities from 2019 to 2021 M. Mansourmoghaddam et al. 10.1080/17538947.2023.2196445
- In-Flight Preliminary Performance of GF-5B/Absorbing Aerosol Sensor Y. Wang et al. 10.3390/rs15174343
- Cancellation of cloud shadow effects in the absorbing aerosol index retrieval algorithm of TROPOMI V. Trees et al. 10.5194/amt-18-73-2025
- Environmental impacts of shifts in surface urban heat island, emissions, and nighttime light during the Russia–Ukraine war in Ukrainian cities G. Roshan et al. 10.1007/s11356-024-34050-x
- Restoring the top-of-atmosphere reflectance during solar eclipses: a proof of concept with the UV absorbing aerosol index measured by TROPOMI V. Trees et al. 10.5194/acp-21-8593-2021
- Air quality—climate forcing double whammy from domestic firelighters C. Lin et al. 10.1038/s41612-023-00427-x
- A Bayesian Framework to Quantify Uncertainty in Aerosol Optical Model Selection Applied to TROPOMI Measurements A. Kauppi et al. 10.3390/rs16111945
- Impact of 3D cloud structures on the atmospheric trace gas products from UV–Vis sounders – Part 3: Bias estimate using synthetic and observational data A. Kylling et al. 10.5194/amt-15-3481-2022
- First Results of Absorbing Aerosol Index From the Absorbing Aerosol Sensor Onboard Gaofen-5B Z. Zhang et al. 10.1109/JSTARS.2024.3439014
- Improved Absorbing Aerosol Index Results for EMI on Board Atmospheric Environment Monitoring Satellite F. Tang et al. 10.1109/JSTARS.2025.3540510
- Combining Machine Learning and Numerical Simulation for High-Resolution PM2.5 Concentration Forecast J. Bi et al. 10.1021/acs.est.1c05578
- DARCLOS: a cloud shadow detection algorithm for TROPOMI V. Trees et al. 10.5194/amt-15-3121-2022
Latest update: 02 Apr 2025
Short summary
We investigated the influence of clouds on the Absorbing Aerosol Index (AAI), an indicator of the presence of small particles in the atmosphere. Clouds produce artifacts in AAI calculations on the individual measurement (7 km) scale, which was not seen with previous instruments, as well as on large (1000+ km) scales. To reduce these artefacts, we used three different AAI calculation techniques of varying complexity. We find that the AAI artifacts are reduced when using more complex techniques.
We investigated the influence of clouds on the Absorbing Aerosol Index (AAI), an indicator of...
