Articles | Volume 16, issue 15
https://doi.org/10.5194/amt-16-3631-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/amt-16-3631-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Detection of aerosol and cloud features for the EarthCARE atmospheric lidar (ATLID): the ATLID FeatureMask (A-FM) product
Gerd-Jan van Zadelhoff
CORRESPONDING AUTHOR
R&D Satellite Observations, Royal Netherlands Meteorological Institute (KNMI), de Bilt, the Netherlands
David P. Donovan
R&D Satellite Observations, Royal Netherlands Meteorological Institute (KNMI), de Bilt, the Netherlands
Ping Wang
R&D Satellite Observations, Royal Netherlands Meteorological Institute (KNMI), de Bilt, the Netherlands
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- Dust in the Critical Zone: North American case studies J. Brahney et al. https://doi.org/10.1016/j.earscirev.2024.104942
- The EarthCARE mission: science data processing chain overview M. Eisinger et al. https://doi.org/10.5194/amt-17-839-2024
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- Charting the ocean’s hidden dimension: Lidar advancements in quantifying marine ecosystems and the carbon cycle P. Chen et al. https://doi.org/10.1016/j.xinn.2026.101436
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- Retrieval of top-of-atmosphere fluxes from combined EarthCARE lidar, imager, and broadband radiometer observations: the BMA-FLX product A. Velázquez Blázquez et al. https://doi.org/10.5194/amt-17-7007-2024
- An improved geolocation methodology for spaceborne radar and lidar systems B. Puigdomènech Treserras & P. Kollias https://doi.org/10.5194/amt-17-6301-2024
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- Algorithms to retrieve aerosol optical properties using lidar measurements on board the EarthCARE satellite T. Nishizawa et al. https://doi.org/10.5194/amt-19-729-2026
22 citations as recorded by crossref.
- An intercomparison of EarthCARE cloud, aerosol, and precipitation retrieval products S. Mason et al. https://doi.org/10.5194/amt-17-875-2024
- Aeolus lidar surface return (LSR) at 355 nm as a new Aeolus Level-2A product L. Labzovskii et al. https://doi.org/10.5194/amt-17-7183-2024
- Characterization of dust aerosols from ALADIN and CALIOP measurements R. Song et al. https://doi.org/10.5194/amt-17-2521-2024
- Dust in the Critical Zone: North American case studies J. Brahney et al. https://doi.org/10.1016/j.earscirev.2024.104942
- The EarthCARE mission: science data processing chain overview M. Eisinger et al. https://doi.org/10.5194/amt-17-839-2024
- Scene classification for Aeolus wind processing based on the EarthCARE feature mask D. Hemminga et al. https://doi.org/10.1051/epjconf/202636207005
- LOAC2: The Improved Version of the Light Optical Aerosols Counter for Measurements at Ground Level and Within the Atmosphere Under Balloons J. Renard et al. https://doi.org/10.3390/s26123786
- Charting the ocean’s hidden dimension: Lidar advancements in quantifying marine ecosystems and the carbon cycle P. Chen et al. https://doi.org/10.1016/j.xinn.2026.101436
- ALADIN Aerosol and Cloud retrievals using ATLID-like approaches (an update) D. Donovan et al. https://doi.org/10.1051/epjconf/202636208002
- Retrieving aerosol backscatter coefficient using coherent Doppler wind lidar T. Wei et al. https://doi.org/10.1364/OE.551730
- Cloud top heights and aerosol layer properties from EarthCARE lidar observations: the A-CTH and A-ALD products U. Wandinger et al. https://doi.org/10.5194/amt-16-4031-2023
- Cloud top heights and aerosol columnar properties from combined EarthCARE lidar and imager observations: the AM-CTH and AM-ACD products M. Haarig et al. https://doi.org/10.5194/amt-16-5953-2023
- Evaluation of Aeolus feature mask and particle extinction coefficient profile products using CALIPSO data P. Wang et al. https://doi.org/10.5194/amt-17-5935-2024
- Derivation and validation of a refined dust product from Aeolus (L2A+) K. Rizos et al. https://doi.org/10.5194/amt-19-699-2026
- Los Angeles Wildfires 2025: Satellite-Based Emissions Monitoring and Air-Quality Impacts K. Michailidis et al. https://doi.org/10.3390/atmos17010050
- ALICENET – an Italian network of automated lidar ceilometers for four-dimensional aerosol monitoring: infrastructure, data processing, and applications A. Bellini et al. https://doi.org/10.5194/amt-17-6119-2024
- The EarthCARE lidar cloud and aerosol profile processor (A-PRO): the A-AER, A-EBD, A-TC, and A-ICE products D. Donovan et al. https://doi.org/10.5194/amt-17-5301-2024
- Retrieval of top-of-atmosphere fluxes from combined EarthCARE lidar, imager, and broadband radiometer observations: the BMA-FLX product A. Velázquez Blázquez et al. https://doi.org/10.5194/amt-17-7007-2024
- An improved geolocation methodology for spaceborne radar and lidar systems B. Puigdomènech Treserras & P. Kollias https://doi.org/10.5194/amt-17-6301-2024
- Validation of EarthCARE/ATLID aerosol profiling products with ground-based PollyNET lidars – case studies H. Baars et al. https://doi.org/10.5194/amt-19-3831-2026
- Validation of the Aeolus L2A products with the eVe reference lidar measurements from the ASKOS/JATAC campaign P. Paschou et al. https://doi.org/10.5194/amt-18-4731-2025
- Algorithms to retrieve aerosol optical properties using lidar measurements on board the EarthCARE satellite T. Nishizawa et al. https://doi.org/10.5194/amt-19-729-2026
Saved (final revised paper)
Latest update: 29 Jul 2026
Short summary
The Earth Clouds, Aerosols and Radiation (EarthCARE) satellite mission features the UV lidar ATLID. The ATLID FeatureMask algorithm provides a high-resolution detection probability mask which is used to guide smoothing strategies within the ATLID profile retrieval algorithm, one step further in the EarthCARE level-2 processing chain, in which the microphysical retrievals and target classification are performed.
The Earth Clouds, Aerosols and Radiation (EarthCARE) satellite mission features the UV lidar...
Special issue