the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
HETEAC – The Hybrid End-To-End Aerosol Classification model for EarthCARE
Abstract. The Hybrid End-To-End Aerosol Classification (HETEAC) model for the Earth Clouds, Aerosols and Radiation Explorer (EarthCARE) mission is introduced. The model serves as the common baseline for development, evaluation, and implementation of EarthCARE algorithms. It guarantees the consistency of different aerosol products from the multi-instrument platform and facilitates the conform specification of broad-band optical properties needed for EarthCARE radiative closure assessments. While the hybrid approach ensures that the theoretical description of aerosol microphysical properties is consistent with the optical properties of the measured aerosol types, the end-to-end model permits the uniform representation of aerosol types in terms of microphysical, optical, and radiative properties. Four basic aerosol components with prescribed microphysical properties are used to compose various natural and anthropogenic aerosols of the troposphere. The components contain weakly and strongly absorbing fine-mode as well as spherical and non-spherical coarse-mode particles and thus are representative for pollution, smoke, sea salt, and dust, respectively. Their microphysical properties are selected such that a good coverage of the observational phase space of intensive, i.e., concentration-independent, optical aerosol properties derived from EarthCARE measurements is obtained. Mixing rules to calculate optical and radiative properties of any aerosol blend composed of the four basic components are provided. Applications of HETEAC in the generation of test scenes, the development of retrieval algorithms for stand-alone and synergistic aerosol products from EarthCARE's Atmospheric Lidar (ATLID) and Multi-Spectral Imager (MSI), as well as for radiative closure assessments are discussed. In the end, conclusions for future development work are drawn.
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Notice on discussion status
The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.
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Preprint
(2603 KB)
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The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.
- Preprint
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- Final revised paper
Journal article(s) based on this preprint
Interactive discussion
Status: closed
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RC1: 'Comment on egusphere-2022-1241', Anonymous Referee #1, 04 Jan 2023
Overall this is a solid paper describing the HETEAC aerosol optics/mixing model that is used to aid in EarthCARE algorithm, development. As the authors note, EarthCARE is unique among satellite systems in its high degree of multi sensor integration in deriving aerosol products. Therefore, algorithm developers need a beginning baseline to ensure all of the systems are using compatible models. In and of itself, I think the paper does exactly what it sets out to do: explaining the model, the rationale for why they made the decisions they did, and provide some theoretical uncertainties. From a science reviewer point of view, there is not much to say. Given this is a baseline, they are keeping it all rather simple at this point. They are projecting against the major sources in a logical manner and compare well with observations and existing optical models such as OPAC. I only suggest minor revisions in a few areas. Going through the paper, I made many notes when the authors massively oversimplified the discussion. I am ok with a simple model as necessity dictates, but the authors need to be clear what the implications of the simplifications are so users can sequester uncertainty. However, the conclusion covers nearly all of my distress (no longer necessary to write them down here)-especially on mixing state which I was most concerned about (which makes the section not really the conclusions). So the paper is at times at odds between declarative statements made throughout, and then in the conclusion waving the hands. Therefore, my only suggestion is to move a lot of that material forward, and perhaps make it an early section. State essentially that for necessity, you have a simple model, but simple models are, well, simple. That is ok with what you want to do. Other minor things that the authors may want to emphasize is 1) these models probably will not be great for haze events such as in China or India; 2) use of the lidar ratio is dependent on having a good retrieval, which for lower concentrations is not a given; and 3) practically “dusty smoke” have long been the CALIOP’s go to for “We don’t know what this is really.” How will you handle such uncertainty across platforms. Other than these I wish the authors well.
Citation: https://doi.org/10.5194/egusphere-2022-1241-RC1 -
AC1: 'Reply on RC1', Ulla Wandinger, 20 Mar 2023
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2022/egusphere-2022-1241/egusphere-2022-1241-AC1-supplement.pdf
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AC1: 'Reply on RC1', Ulla Wandinger, 20 Mar 2023
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RC2: 'Comment on egusphere-2022-1241', Anonymous Referee #2, 28 Jan 2023
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2022/egusphere-2022-1241/egusphere-2022-1241-RC2-supplement.pdf
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AC2: 'Reply on RC2', Ulla Wandinger, 20 Mar 2023
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2022/egusphere-2022-1241/egusphere-2022-1241-AC2-supplement.pdf
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AC2: 'Reply on RC2', Ulla Wandinger, 20 Mar 2023
Interactive discussion
Status: closed
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RC1: 'Comment on egusphere-2022-1241', Anonymous Referee #1, 04 Jan 2023
Overall this is a solid paper describing the HETEAC aerosol optics/mixing model that is used to aid in EarthCARE algorithm, development. As the authors note, EarthCARE is unique among satellite systems in its high degree of multi sensor integration in deriving aerosol products. Therefore, algorithm developers need a beginning baseline to ensure all of the systems are using compatible models. In and of itself, I think the paper does exactly what it sets out to do: explaining the model, the rationale for why they made the decisions they did, and provide some theoretical uncertainties. From a science reviewer point of view, there is not much to say. Given this is a baseline, they are keeping it all rather simple at this point. They are projecting against the major sources in a logical manner and compare well with observations and existing optical models such as OPAC. I only suggest minor revisions in a few areas. Going through the paper, I made many notes when the authors massively oversimplified the discussion. I am ok with a simple model as necessity dictates, but the authors need to be clear what the implications of the simplifications are so users can sequester uncertainty. However, the conclusion covers nearly all of my distress (no longer necessary to write them down here)-especially on mixing state which I was most concerned about (which makes the section not really the conclusions). So the paper is at times at odds between declarative statements made throughout, and then in the conclusion waving the hands. Therefore, my only suggestion is to move a lot of that material forward, and perhaps make it an early section. State essentially that for necessity, you have a simple model, but simple models are, well, simple. That is ok with what you want to do. Other minor things that the authors may want to emphasize is 1) these models probably will not be great for haze events such as in China or India; 2) use of the lidar ratio is dependent on having a good retrieval, which for lower concentrations is not a given; and 3) practically “dusty smoke” have long been the CALIOP’s go to for “We don’t know what this is really.” How will you handle such uncertainty across platforms. Other than these I wish the authors well.
Citation: https://doi.org/10.5194/egusphere-2022-1241-RC1 -
AC1: 'Reply on RC1', Ulla Wandinger, 20 Mar 2023
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2022/egusphere-2022-1241/egusphere-2022-1241-AC1-supplement.pdf
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AC1: 'Reply on RC1', Ulla Wandinger, 20 Mar 2023
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RC2: 'Comment on egusphere-2022-1241', Anonymous Referee #2, 28 Jan 2023
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2022/egusphere-2022-1241/egusphere-2022-1241-RC2-supplement.pdf
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AC2: 'Reply on RC2', Ulla Wandinger, 20 Mar 2023
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2022/egusphere-2022-1241/egusphere-2022-1241-AC2-supplement.pdf
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AC2: 'Reply on RC2', Ulla Wandinger, 20 Mar 2023
Peer review completion
Journal article(s) based on this preprint
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Cited
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
Athena Augusta Floutsi
Holger Baars
Moritz Haarig
Albert Ansmann
Anja Hünerbein
Nicole Docter
David Donovan
Gerd-Jan van Zadelhoff
Shannon Mason
Jason Cole
The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.
- Preprint
(2603 KB) - Metadata XML