Articles | Volume 17, issue 2
https://doi.org/10.5194/amt-17-875-2024
© Author(s) 2024. 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-17-875-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
01 Feb 2024
Research article |
| 01 Feb 2024
| 01 Feb 2024
An intercomparison of EarthCARE cloud, aerosol, and precipitation retrieval products
European Centre for Medium-Range Weather Forecasts (ECMWF), Reading, UK
National Centre for Earth Observation, University of Reading, Reading, UK
Howard W. Barker
Environment and Climate Change Canada, Victoria, BC, Canada
Jason N. S. Cole
Environment and Climate Change Canada, Toronto, ON, Canada
Nicole Docter
Institute of Meteorology, Free University of Berlin, Berlin, Germany
David P. Donovan
R&D Satellite Observations, Royal Netherlands Meteorological Institute (KNMI), de Bilt, the Netherlands
Robin J. Hogan
European Centre for Medium-Range Weather Forecasts (ECMWF), Reading, UK
Department of Meteorology, University of Reading, Reading, UK
Anja Hünerbein
Leibniz Institute for Tropospheric Research (TROPOS), Leipzig, Germany
Pavlos Kollias
School of Marine and Atmospheric Sciences, Stonybrook University, Stonybrook, NY, USA
Department of Atmospheric and Oceanic Sciences, McGill University, Montreal, QC, Canada
Bernat Puigdomènech Treserras
Department of Atmospheric and Oceanic Sciences, McGill University, Montreal, QC, Canada
Zhipeng Qu
Environment and Climate Change Canada, Toronto, ON, Canada
Ulla Wandinger
Leibniz Institute for Tropospheric Research (TROPOS), Leipzig, Germany
Gerd-Jan van Zadelhoff
R&D Satellite Observations, Royal Netherlands Meteorological Institute (KNMI), de Bilt, the Netherlands
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Cited
12 citations as recorded by crossref.
- Five years of Aeolus wind profiling: global coverage and data quality O. Lux et al. https://doi.org/10.5194/amt-19-1729-2026
- An ensemble machine-learning first-guess approach for physics-based retrieval of ice particle size distributions from multi-frequency radar, validated with CCREST-M aircraft observations A. Baran et al. https://doi.org/10.5194/amt-19-4367-2026
- Advanced simulation and measurement of skylight polarization patterns across distinct aerosol type environments S. Li et al. https://doi.org/10.1016/j.scitotenv.2025.178768
- Radiative closure assessment of retrieved cloud and aerosol properties for the EarthCARE mission: the ACMB-DF product H. Barker et al. https://doi.org/10.5194/amt-18-3095-2025
- Errors in stereoscopic retrievals of cloud top height for single-layer clouds J. Loveridge & L. Di Girolamo https://doi.org/10.5194/amt-18-3009-2025
- 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
- Preface to the special issue “EarthCARE Level 2 algorithms and data products”: Editorial in memory of Tobias Wehr R. Hogan et al. https://doi.org/10.5194/amt-17-3081-2024
- All-sky direct aerosol radiative effects estimated from integrated A-Train satellite measurements M. Kacenelenbogen et al. https://doi.org/10.5194/acp-25-15875-2025
- A new aerosol type identification algorithm for the Geostationary Environment Monitoring Spectrometer (GEMS) instrument F. Wang et al. https://doi.org/10.1080/20964471.2026.2654984
- 基于激光雷达‐云雷达联合反演水云廓线（特邀） 孙. Sun Yuebo et al. https://doi.org/10.3788/AOS251986
- The GSFC Lidar Observation and Validation Experiment (GLOVE) field campaign J. Yorks et al. https://doi.org/10.5194/essd-18-3833-2026
- Retrieving atmospheric thermodynamic and hydrometeor profiles using a thermodynamic-constrained Kalman filter 1D-Var framework based on ground-based microwave radiometer Q. Zhang et al. https://doi.org/10.5194/gmd-19-505-2026
12 citations as recorded by crossref.
- Five years of Aeolus wind profiling: global coverage and data quality O. Lux et al. https://doi.org/10.5194/amt-19-1729-2026
- An ensemble machine-learning first-guess approach for physics-based retrieval of ice particle size distributions from multi-frequency radar, validated with CCREST-M aircraft observations A. Baran et al. https://doi.org/10.5194/amt-19-4367-2026
- Advanced simulation and measurement of skylight polarization patterns across distinct aerosol type environments S. Li et al. https://doi.org/10.1016/j.scitotenv.2025.178768
- Radiative closure assessment of retrieved cloud and aerosol properties for the EarthCARE mission: the ACMB-DF product H. Barker et al. https://doi.org/10.5194/amt-18-3095-2025
- Errors in stereoscopic retrievals of cloud top height for single-layer clouds J. Loveridge & L. Di Girolamo https://doi.org/10.5194/amt-18-3009-2025
- 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
- Preface to the special issue “EarthCARE Level 2 algorithms and data products”: Editorial in memory of Tobias Wehr R. Hogan et al. https://doi.org/10.5194/amt-17-3081-2024
- All-sky direct aerosol radiative effects estimated from integrated A-Train satellite measurements M. Kacenelenbogen et al. https://doi.org/10.5194/acp-25-15875-2025
- A new aerosol type identification algorithm for the Geostationary Environment Monitoring Spectrometer (GEMS) instrument F. Wang et al. https://doi.org/10.1080/20964471.2026.2654984
- 基于激光雷达‐云雷达联合反演水云廓线（特邀） 孙. Sun Yuebo et al. https://doi.org/10.3788/AOS251986
- The GSFC Lidar Observation and Validation Experiment (GLOVE) field campaign J. Yorks et al. https://doi.org/10.5194/essd-18-3833-2026
- Retrieving atmospheric thermodynamic and hydrometeor profiles using a thermodynamic-constrained Kalman filter 1D-Var framework based on ground-based microwave radiometer Q. Zhang et al. https://doi.org/10.5194/gmd-19-505-2026
Saved (final revised paper)
Latest update: 17 Jul 2026
Short summary
When the EarthCARE mission enters its operational phase, many retrieval data products will be available, which will overlap both in terms of the measurements they use and the geophysical quantities they report. In this pre-launch study, we use simulated EarthCARE scenes to compare the coverage and performance of many data products from the European Space Agency production model, with the intention of better understanding the relation between products and providing a compact guide to users.
When the EarthCARE mission enters its operational phase, many retrieval data products will be...
Special issue