Articles | Volume 16, issue 10
https://doi.org/10.5194/amt-16-2485-2023
© 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-16-2485-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
25 May 2023
Research article |
| 25 May 2023
| 25 May 2023
HETEAC – the Hybrid End-To-End Aerosol Classification model for EarthCARE
Leibniz Institute for Tropospheric Research (TROPOS), Leipzig, Germany
Athena Augusta Floutsi
Leibniz Institute for Tropospheric Research (TROPOS), Leipzig, Germany
Holger Baars
Leibniz Institute for Tropospheric Research (TROPOS), Leipzig, Germany
Moritz Haarig
Leibniz Institute for Tropospheric Research (TROPOS), Leipzig, Germany
Albert Ansmann
Leibniz Institute for Tropospheric Research (TROPOS), Leipzig, Germany
Anja Hünerbein
Leibniz Institute for Tropospheric Research (TROPOS), Leipzig, Germany
Nicole Docter
Institute for Space Science, Free University of Berlin (FUB), Berlin, Germany
David Donovan
Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
Gerd-Jan van Zadelhoff
Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
Shannon Mason
European Centre for Medium Range Weather Forecasts (ECMWF), Reading, United Kingdom
Jason Cole
Environment and Climate Change Canada (ECCC), Toronto, Ontario, Canada
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Cited
14 citations as recorded by crossref.
- Numerical model generation of test frames for pre-launch studies of EarthCARE's retrieval algorithms and data management system Z. Qu et al. 10.5194/amt-16-4927-2023
- 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. 10.5194/amt-16-5953-2023
- Estimation of Aerosol Layer Height from OLCI Measurements in the O2A-Absorption Band over Oceans L. Jänicke et al. 10.3390/rs15164080
- HETEAC-Flex: an optimal estimation method for aerosol typing based on lidar-derived intensive optical properties A. Floutsi et al. 10.5194/amt-17-693-2024
- Cloud top heights and aerosol layer properties from EarthCARE lidar observations: the A-CTH and A-ALD products U. Wandinger et al. 10.5194/amt-16-4031-2023
- The classification of atmospheric hydrometeors and aerosols from the EarthCARE radar and lidar: the A-TC, C-TC and AC-TC products A. Irbah et al. 10.5194/amt-16-2795-2023
- A unified synergistic retrieval of clouds, aerosols, and precipitation from EarthCARE: the ACM-CAP product S. Mason et al. 10.5194/amt-16-3459-2023
- Broadband radiative quantities for the EarthCARE mission: the ACM-COM and ACM-RT products J. Cole et al. 10.5194/amt-16-4271-2023
- DeLiAn – a growing collection of depolarization ratio, lidar ratio and Ångström exponent for different aerosol types and mixtures from ground-based lidar observations A. Floutsi et al. 10.5194/amt-16-2353-2023
- HETEAC – the Hybrid End-To-End Aerosol Classification model for EarthCARE U. Wandinger et al. 10.5194/amt-16-2485-2023
- Aerosol optical depth retrieval from the EarthCARE Multi-Spectral Imager: the M-AOT product N. Docter et al. 10.5194/amt-16-3437-2023
- The generation of EarthCARE L1 test data sets using atmospheric model data sets D. Donovan et al. 10.5194/amt-16-5327-2023
- The EarthCARE mission – science and system overview T. Wehr et al. 10.5194/amt-16-3581-2023
- HETEAC-Flex: an optimal estimation method for aerosol typing based on lidar-derived intensive optical properties A. Floutsi et al. 10.5194/amt-17-693-2024
8 citations as recorded by crossref.
- Numerical model generation of test frames for pre-launch studies of EarthCARE's retrieval algorithms and data management system Z. Qu et al. 10.5194/amt-16-4927-2023
- 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. 10.5194/amt-16-5953-2023
- Estimation of Aerosol Layer Height from OLCI Measurements in the O2A-Absorption Band over Oceans L. Jänicke et al. 10.3390/rs15164080
- HETEAC-Flex: an optimal estimation method for aerosol typing based on lidar-derived intensive optical properties A. Floutsi et al. 10.5194/amt-17-693-2024
- Cloud top heights and aerosol layer properties from EarthCARE lidar observations: the A-CTH and A-ALD products U. Wandinger et al. 10.5194/amt-16-4031-2023
- The classification of atmospheric hydrometeors and aerosols from the EarthCARE radar and lidar: the A-TC, C-TC and AC-TC products A. Irbah et al. 10.5194/amt-16-2795-2023
- A unified synergistic retrieval of clouds, aerosols, and precipitation from EarthCARE: the ACM-CAP product S. Mason et al. 10.5194/amt-16-3459-2023
- Broadband radiative quantities for the EarthCARE mission: the ACM-COM and ACM-RT products J. Cole et al. 10.5194/amt-16-4271-2023
6 citations as recorded by crossref.
- DeLiAn – a growing collection of depolarization ratio, lidar ratio and Ångström exponent for different aerosol types and mixtures from ground-based lidar observations A. Floutsi et al. 10.5194/amt-16-2353-2023
- HETEAC – the Hybrid End-To-End Aerosol Classification model for EarthCARE U. Wandinger et al. 10.5194/amt-16-2485-2023
- Aerosol optical depth retrieval from the EarthCARE Multi-Spectral Imager: the M-AOT product N. Docter et al. 10.5194/amt-16-3437-2023
- The generation of EarthCARE L1 test data sets using atmospheric model data sets D. Donovan et al. 10.5194/amt-16-5327-2023
- The EarthCARE mission – science and system overview T. Wehr et al. 10.5194/amt-16-3581-2023
- HETEAC-Flex: an optimal estimation method for aerosol typing based on lidar-derived intensive optical properties A. Floutsi et al. 10.5194/amt-17-693-2024
Latest update: 24 Apr 2024
Short summary
We introduce an aerosol classification model that has been developed for the Earth Clouds, Aerosols and Radiation Explorer (EarthCARE). The model provides a consistent description of microphysical, optical, and radiative properties of common aerosol types such as dust, sea salt, pollution, and smoke. It is used for aerosol classification and assessment of radiation effects based on the synergy of active and passive observations with lidar, imager, and radiometer of the multi-instrument platform.
We introduce an aerosol classification model that has been developed for the Earth Clouds,...
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