Articles | Volume 16, issue 11
https://doi.org/10.5194/amt-16-2795-2023
© 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-16-2795-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
06 Jun 2023
Research article |
| 06 Jun 2023
| 06 Jun 2023
The classification of atmospheric hydrometeors and aerosols from the EarthCARE radar and lidar: the A-TC, C-TC and AC-TC products
Abdanour Irbah
CORRESPONDING AUTHOR
Laboratoire Atmosphére, Milieux et Observations Spatiales, Guyancourt, France
Julien Delanoë
Laboratoire Atmosphére, Milieux et Observations Spatiales, Guyancourt, France
Gerd-Jan van Zadelhoff
Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
David P. Donovan
Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
Pavlos Kollias
Department of Atmospheric and Oceanic Sciences, McGill University, Montreal, Canada
Bernat Puigdomènech Treserras
Department of Atmospheric and Oceanic Sciences, McGill University, Montreal, Canada
Shannon Mason
European Centre for Medium-range Weather Forecasts, Reading, UK
National Centre for Earth Observation, University of Reading, Reading, UK
Robin J. Hogan
European Centre for Medium-range Weather Forecasts, Reading, UK
Aleksandra Tatarevic
Department of Atmospheric and Oceanic Sciences, McGill University, Montreal, Canada
Viewed
Total article views: 6,348 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 18 Nov 2022)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 4,519 | 1,581 | 248 | 6,348 | 275 | 330 |
- HTML: 4,519
- PDF: 1,581
- XML: 248
- Total: 6,348
- BibTeX: 275
- EndNote: 330
Total article views: 4,619 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 06 Jun 2023)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 3,531 | 915 | 173 | 4,619 | 212 | 212 |
- HTML: 3,531
- PDF: 915
- XML: 173
- Total: 4,619
- BibTeX: 212
- EndNote: 212
Total article views: 1,729 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 18 Nov 2022)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 988 | 666 | 75 | 1,729 | 602 | 63 | 118 |
- HTML: 988
- PDF: 666
- XML: 75
- Total: 1,729
- Supplement: 602
- BibTeX: 63
- EndNote: 118
Viewed (geographical distribution)
Total article views: 6,348 (including HTML, PDF, and XML)
Thereof 6,149 with geography defined
and 199 with unknown origin.
Total article views: 4,619 (including HTML, PDF, and XML)
Thereof 4,439 with geography defined
and 180 with unknown origin.
Total article views: 1,729 (including HTML, PDF, and XML)
Thereof 1,710 with geography defined
and 19 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
26 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
- On the Hybrid Algorithm for Retrieving Day and Night Cloud Base Height from Geostationary Satellite Observations T. Ye et al. https://doi.org/10.3390/rs17142469
- EarthCARE's cloud profiling radar antenna pointing correction using surface Doppler measurements B. Puigdomènech Treserras et al. https://doi.org/10.5194/amt-18-5607-2025
- 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
- Persistent EarthCARE underflight studies of the ITCZ and organized convection (PERCUSION): contribution to EarthCARE validation S. Groß et al. https://doi.org/10.5194/amt-19-3933-2026
- Exploring new EarthCARE observations for evaluating Greenland clouds in the regional climate model RACMO2.4 T. Feenstra et al. https://doi.org/10.5194/amt-19-1323-2026
- Long-Range Plume Transport from Brazilian Burnings to Urban São Paulo: A Remote Sensing Analysis G. Silva et al. https://doi.org/10.3390/atmos16091022
- A unified synergistic retrieval of clouds, aerosols, and precipitation from EarthCARE: the ACM-CAP product S. Mason et al. https://doi.org/10.5194/amt-16-3459-2023
- 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
- Aerosol-driven precipitation modification: spatiotemporal heterogeneity in precipitation microphysics and vertical profiles over China's megacity clusters H. Peng et al. https://doi.org/10.5194/acp-26-3299-2026
- 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
- The EarthCARE mission: science data processing chain overview M. Eisinger et al. https://doi.org/10.5194/amt-17-839-2024
- 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
- Robust Lidar-Radar Composite Cloud Boundary Detection Method With Rainfall Pixels Removal W. Zou et al. https://doi.org/10.1109/TGRS.2024.3476127
- 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
- An improved geolocation methodology for spaceborne radar and lidar systems B. Puigdomènech Treserras & P. Kollias https://doi.org/10.5194/amt-17-6301-2024
- Multiscale Aerosol–Cloud Classification Algorithm of the DQ-1/ACDL L. Zuo et al. https://doi.org/10.1109/TGRS.2026.3740501
- The EarthCARE mission – science and system overview T. Wehr et al. https://doi.org/10.5194/amt-16-3581-2023
- Validation of cloud macrophysical properties from the ATLID Level 2a products A-TC, A-FM, A-CTH using airborne lidar observations during the HALO missions PERCUSION, ASCCI and NAWDIC K. Krüger et al. https://doi.org/10.5194/amt-19-5923-2026
- Validation of EarthCARE CPR reflectivity using the ACTRIS cloud radar network N. Feuillard et al. https://doi.org/10.5194/amt-19-6075-2026
- Evaluating the NASA MPLNET Rain Masking Algorithm at Goddard Space Flight Center and Barcelona sites: Relevance to EarthCARE Cloud Profiling Radar Validation S. Lolli et al. https://doi.org/10.1016/j.atmosres.2025.108535
- Broadband radiative quantities for the EarthCARE mission: the ACM-COM and ACM-RT products J. Cole et al. https://doi.org/10.5194/amt-16-4271-2023
- 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
- Detection of aerosol and cloud features for the EarthCARE atmospheric lidar (ATLID): the ATLID FeatureMask (A-FM) product G. van Zadelhoff et al. https://doi.org/10.5194/amt-16-3631-2023
- Innovative cloud quantification: deep learning classification and finite-sector clustering for ground-based all-sky imaging J. Luo et al. https://doi.org/10.5194/amt-17-3765-2024
- 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
26 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
- On the Hybrid Algorithm for Retrieving Day and Night Cloud Base Height from Geostationary Satellite Observations T. Ye et al. https://doi.org/10.3390/rs17142469
- EarthCARE's cloud profiling radar antenna pointing correction using surface Doppler measurements B. Puigdomènech Treserras et al. https://doi.org/10.5194/amt-18-5607-2025
- 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
- Persistent EarthCARE underflight studies of the ITCZ and organized convection (PERCUSION): contribution to EarthCARE validation S. Groß et al. https://doi.org/10.5194/amt-19-3933-2026
- Exploring new EarthCARE observations for evaluating Greenland clouds in the regional climate model RACMO2.4 T. Feenstra et al. https://doi.org/10.5194/amt-19-1323-2026
- Long-Range Plume Transport from Brazilian Burnings to Urban São Paulo: A Remote Sensing Analysis G. Silva et al. https://doi.org/10.3390/atmos16091022
- A unified synergistic retrieval of clouds, aerosols, and precipitation from EarthCARE: the ACM-CAP product S. Mason et al. https://doi.org/10.5194/amt-16-3459-2023
- 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
- Aerosol-driven precipitation modification: spatiotemporal heterogeneity in precipitation microphysics and vertical profiles over China's megacity clusters H. Peng et al. https://doi.org/10.5194/acp-26-3299-2026
- 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
- The EarthCARE mission: science data processing chain overview M. Eisinger et al. https://doi.org/10.5194/amt-17-839-2024
- 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
- Robust Lidar-Radar Composite Cloud Boundary Detection Method With Rainfall Pixels Removal W. Zou et al. https://doi.org/10.1109/TGRS.2024.3476127
- 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
- An improved geolocation methodology for spaceborne radar and lidar systems B. Puigdomènech Treserras & P. Kollias https://doi.org/10.5194/amt-17-6301-2024
- Multiscale Aerosol–Cloud Classification Algorithm of the DQ-1/ACDL L. Zuo et al. https://doi.org/10.1109/TGRS.2026.3740501
- The EarthCARE mission – science and system overview T. Wehr et al. https://doi.org/10.5194/amt-16-3581-2023
- Validation of cloud macrophysical properties from the ATLID Level 2a products A-TC, A-FM, A-CTH using airborne lidar observations during the HALO missions PERCUSION, ASCCI and NAWDIC K. Krüger et al. https://doi.org/10.5194/amt-19-5923-2026
- Validation of EarthCARE CPR reflectivity using the ACTRIS cloud radar network N. Feuillard et al. https://doi.org/10.5194/amt-19-6075-2026
- Evaluating the NASA MPLNET Rain Masking Algorithm at Goddard Space Flight Center and Barcelona sites: Relevance to EarthCARE Cloud Profiling Radar Validation S. Lolli et al. https://doi.org/10.1016/j.atmosres.2025.108535
- Broadband radiative quantities for the EarthCARE mission: the ACM-COM and ACM-RT products J. Cole et al. https://doi.org/10.5194/amt-16-4271-2023
- 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
- Detection of aerosol and cloud features for the EarthCARE atmospheric lidar (ATLID): the ATLID FeatureMask (A-FM) product G. van Zadelhoff et al. https://doi.org/10.5194/amt-16-3631-2023
- Innovative cloud quantification: deep learning classification and finite-sector clustering for ground-based all-sky imaging J. Luo et al. https://doi.org/10.5194/amt-17-3765-2024
- 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
Saved (final revised paper)
Latest update: 03 Nov 2026
Short summary
The Cloud Profiling Radar (CPR) and ATmospheric LIDar (ATLID) aboard the EarthCARE satellite are used to probe the Earth's atmosphere by measuring cloud and aerosol profiles. ATLID is sensitive to aerosols and small cloud particles and CPR to large ice particles, snowflakes and raindrops. It is the synergy of the measurements of these two instruments that allows a better classification of the atmospheric targets and the description of the associated products, which are the subject of this paper.
The Cloud Profiling Radar (CPR) and ATmospheric LIDar (ATLID) aboard the EarthCARE satellite are...
Special issue
Altmetrics
Final-revised paper
Preprint