the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
| 07 Feb 2023
Detection of aerosol and cloud features for the EarthCARE lidar ATLID: the A-FM product
Abstract. The EarthCARE satellite mission’s objective is to retrieve profiles of the aerosol and water cloud physical properties using the combination of cloud-profiling radar (CPR), high spectral resolution UV lidar (ATLID), and passive multi-spectral spectral imager (MSI) data. Based on synergistic retrievals using data from these instruments, the 3D atmospheric cloud/aerosol state is estimated, which then are used to forward modelled radiative properties, which may then be compared to co-incident broad band radiometer (BBR) measurements. A high spectral resolution lidar enables the independent retrieval of extinction and backscatter but, being space-based, suffers from relatively high signal-to-noise levels. The ATLID FeatureMask (A-FM) product provides a probability mask for the existence of atmospheric features within the lidar profiles. Next to this, it also identifies those regions where the lidar beam has been fully attenuated and when the surface has impacted the measured lidar backscatter signals. From the pixels assigned as clear sky with no features present above, the clear sky averaged profiles for the three ATLID channels, the co-polar Mie channel, the total cross channel and the co-polar Rayleigh channel, are created. These ‘feature-free’ or ‘clear-sky’ profiles are useful for e.g. the quality of the ATLID l1 attenuated backscatters. The scientific goals of the A-FM product is to guide smoothing strategies within the ATLID profile retrieval algorithm which is one step further in the EarthCARE L2 processing chain. As a secondary product a frame-by-frame evaluation of the ATLID L1b cross talk calibration can be preformed by comparing the retrieved clear sky profiles to the expected channel profiles. The A-FM algorithm has been evaluated thoroughly using the synthetic test scenes. The A-FM product has been applied to both synthetic data from the EarthCARE end-to-end simulator (ECSIM) ass well as ALADIN L1 data from the Aeolus wind-lidar mission. Comparisons against the ECSIM model truth indicate A-FM has a percentage correctness > 0.9 and is capable of reliably detecting aerosol and cloud regions with extinctions > 1E-5 m−1.
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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
(4942 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
(4942 KB) - Metadata XML
- BibTeX
- EndNote
- Final revised paper
Journal article(s) based on this preprint
Interactive discussion
Status: closed
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RC1: 'Comment on egusphere-2023-145', Anonymous Referee #1, 01 Mar 2023
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2023/egusphere-2023-145/egusphere-2023-145-RC1-supplement.pdf
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AC1: 'Reply on RC1', Gerd-Jan van Zadelhoff, 06 Apr 2023
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2023/egusphere-2023-145/egusphere-2023-145-AC1-supplement.pdf
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AC1: 'Reply on RC1', Gerd-Jan van Zadelhoff, 06 Apr 2023
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CC1: 'Comment on egusphere-2023-145', Mark Vaughan, 12 Apr 2023
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2023/egusphere-2023-145/egusphere-2023-145-CC1-supplement.pdf
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AC3: 'Reply on CC1', Gerd-Jan van Zadelhoff, 01 Jun 2023
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2023/egusphere-2023-145/egusphere-2023-145-AC3-supplement.pdf
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AC3: 'Reply on CC1', Gerd-Jan van Zadelhoff, 01 Jun 2023
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RC2: 'Comment on egusphere-2023-145', Anonymous Referee #2, 11 May 2023
Review for egusphere-2023-145
Detection of aerosol and cloud features for the EarthCARE lidar ATLID: the A-FM product
by
Gerd-Jan van Zadelhoff, David P. Donovan and Ping Wang
General comments
This manuscript introduces a feature mask product for the lidar instrument ATLID that will be on board the EarthCARE satellite due to be launched very soon. This feature mask is an important processing unit within the full processing chain delivering geophysical products from the satellite. There are a few minor items to consider in order for this manuscript to suitable for publication.
More discussion is needed on how the FeatureMask works in situations where there is significant variation in profile-to-profile attenuation, e.g. when identifying lower-level features below an upper-level cloud that has gaps in it. Are the kernels in the median-filter approach adjusted, or does the the method rely on pixel value adjustment only? Is this information propagated to subsequent smoothing algorithms somehow?
The verification section would be better served by calculating the contingency tables based on the signal fields (or attenuated backscatter coefficient) rather than the extinction field, since this provides a more direct comparison of the cumulative effect of atmospheric attenuation on feature detection. Verification before and after combination of the strong and weak feature masks would clearly show the additional benefit of the full FeatureMask algorithm.
Lines 25-29: Here, it is stated that measurements from 4 sensors are combined, in order to be compared to measurements from 1 of them. Abstract states that measurements from 3 sensors are combined..
Lines 70: What do you mean by 'effects' here? I assume that you mean that is is not just the mask that is propagated, but also decisions made on smoothing. Using 'decisions made' would be clearer.
Lines 95-96: Correlation of what data?
Lines 115-117: It would be clearer to mention the ideal case here and then discuss the cross-talk, its correction and implications after line 141.
Lines 348-351: Need to be more specific here. Is this procedure performed for each feature value separately? What is the order of precedence if the process finds overlapping features with different values? Features from which mask receive a penalty, and why do some receive a 2 point penalty?
Technical comments
Line 4: Replace 'state is estimated, which then are used' with 'state is estimated and then used'.
Line 18 and elsewhere: Choose one format for displaying extinction and backscatter values throughout the manuscript.
Line 30: Replace 'have being developed' with either 'are being developed' or 'have been developed'.
Line 35: Replace 'rations' with 'ratios'.
Line 38: Explain what Aeolus is here (a satellite wind lidar mission) as this is the first time it is mentioned in the main text.
Line 66: Replace 'aerosols regimes' with 'aerosol regimes'.
Line 67: Replace 'liquid clouds signals are not mixed with aerosol of' with 'liquid clouds are not mixed with aerosol or'.
Line 79: Replace 'FeaturMask' with 'FeatureMask'. Suggest using 'regions' rather than 'areas' - 'areas' imply a 2-dimensional (horizontal) spatial extent, whereas the FeatureMask is of time-height dimensions.
Line 89: Replace 'to to' with 'to'.
Line 91: Replace 'the the' with 'the'.
Line 118: Replace 'correction' with 'corrections'.
Line 125: Replace 'depend both' with 'both depend'.
Line 172: Replace 'area's' with 'areas'.
Line 176: Do you mean 'quantitative' here?
Lines 206-207: Is the vertical cross-talk pixel-to-pixel only? Or does it extend beyond neighbouring pixels?
Line 240: Should mention here how the standard deviation of the signal is calculated.
Lines 244-246: Do you mean single pixel elements in both the vertical and spatial sense? Not sure that you need to specify 'Cumulus' here as such 'single pixel elements' could also arise from liquid clouds or other features which may be narrow in one dimension (along track) but extensive in the other spatial dimension (perpendicular to the track).
Line 265: For 'Those pixels' do you mean 'Co-polar Mie pixels'?
Lines 268-269: Paragraph needs fixing.
Line 278: What is 'features in 1' referring to?
Lines 290-291: Replace 'detects' with 'detect'. What do you mean by 'cutting corners'? It might be safer to write 'artificially rounding the corners of 2-dimensional features'.
Line 414: Replace 'ot' with 'it'.
Figures: Some figures will require their colour scales to be modified in order to meet the journal publication requirements.
Figure 5: Replace 'cut of' with 'cut off'.
Figure 7: Replace 'verticals scale' with 'vertical scale'.
Citation: https://doi.org/10.5194/egusphere-2023-145-RC2 -
AC2: 'Reply on RC2', Gerd-Jan van Zadelhoff, 01 Jun 2023
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2023/egusphere-2023-145/egusphere-2023-145-AC2-supplement.pdf
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AC2: 'Reply on RC2', Gerd-Jan van Zadelhoff, 01 Jun 2023
Interactive discussion
Status: closed
-
RC1: 'Comment on egusphere-2023-145', Anonymous Referee #1, 01 Mar 2023
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2023/egusphere-2023-145/egusphere-2023-145-RC1-supplement.pdf
-
AC1: 'Reply on RC1', Gerd-Jan van Zadelhoff, 06 Apr 2023
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2023/egusphere-2023-145/egusphere-2023-145-AC1-supplement.pdf
-
AC1: 'Reply on RC1', Gerd-Jan van Zadelhoff, 06 Apr 2023
-
CC1: 'Comment on egusphere-2023-145', Mark Vaughan, 12 Apr 2023
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2023/egusphere-2023-145/egusphere-2023-145-CC1-supplement.pdf
-
AC3: 'Reply on CC1', Gerd-Jan van Zadelhoff, 01 Jun 2023
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2023/egusphere-2023-145/egusphere-2023-145-AC3-supplement.pdf
-
AC3: 'Reply on CC1', Gerd-Jan van Zadelhoff, 01 Jun 2023
-
RC2: 'Comment on egusphere-2023-145', Anonymous Referee #2, 11 May 2023
Review for egusphere-2023-145
Detection of aerosol and cloud features for the EarthCARE lidar ATLID: the A-FM product
by
Gerd-Jan van Zadelhoff, David P. Donovan and Ping Wang
General comments
This manuscript introduces a feature mask product for the lidar instrument ATLID that will be on board the EarthCARE satellite due to be launched very soon. This feature mask is an important processing unit within the full processing chain delivering geophysical products from the satellite. There are a few minor items to consider in order for this manuscript to suitable for publication.
More discussion is needed on how the FeatureMask works in situations where there is significant variation in profile-to-profile attenuation, e.g. when identifying lower-level features below an upper-level cloud that has gaps in it. Are the kernels in the median-filter approach adjusted, or does the the method rely on pixel value adjustment only? Is this information propagated to subsequent smoothing algorithms somehow?
The verification section would be better served by calculating the contingency tables based on the signal fields (or attenuated backscatter coefficient) rather than the extinction field, since this provides a more direct comparison of the cumulative effect of atmospheric attenuation on feature detection. Verification before and after combination of the strong and weak feature masks would clearly show the additional benefit of the full FeatureMask algorithm.
Lines 25-29: Here, it is stated that measurements from 4 sensors are combined, in order to be compared to measurements from 1 of them. Abstract states that measurements from 3 sensors are combined..
Lines 70: What do you mean by 'effects' here? I assume that you mean that is is not just the mask that is propagated, but also decisions made on smoothing. Using 'decisions made' would be clearer.
Lines 95-96: Correlation of what data?
Lines 115-117: It would be clearer to mention the ideal case here and then discuss the cross-talk, its correction and implications after line 141.
Lines 348-351: Need to be more specific here. Is this procedure performed for each feature value separately? What is the order of precedence if the process finds overlapping features with different values? Features from which mask receive a penalty, and why do some receive a 2 point penalty?
Technical comments
Line 4: Replace 'state is estimated, which then are used' with 'state is estimated and then used'.
Line 18 and elsewhere: Choose one format for displaying extinction and backscatter values throughout the manuscript.
Line 30: Replace 'have being developed' with either 'are being developed' or 'have been developed'.
Line 35: Replace 'rations' with 'ratios'.
Line 38: Explain what Aeolus is here (a satellite wind lidar mission) as this is the first time it is mentioned in the main text.
Line 66: Replace 'aerosols regimes' with 'aerosol regimes'.
Line 67: Replace 'liquid clouds signals are not mixed with aerosol of' with 'liquid clouds are not mixed with aerosol or'.
Line 79: Replace 'FeaturMask' with 'FeatureMask'. Suggest using 'regions' rather than 'areas' - 'areas' imply a 2-dimensional (horizontal) spatial extent, whereas the FeatureMask is of time-height dimensions.
Line 89: Replace 'to to' with 'to'.
Line 91: Replace 'the the' with 'the'.
Line 118: Replace 'correction' with 'corrections'.
Line 125: Replace 'depend both' with 'both depend'.
Line 172: Replace 'area's' with 'areas'.
Line 176: Do you mean 'quantitative' here?
Lines 206-207: Is the vertical cross-talk pixel-to-pixel only? Or does it extend beyond neighbouring pixels?
Line 240: Should mention here how the standard deviation of the signal is calculated.
Lines 244-246: Do you mean single pixel elements in both the vertical and spatial sense? Not sure that you need to specify 'Cumulus' here as such 'single pixel elements' could also arise from liquid clouds or other features which may be narrow in one dimension (along track) but extensive in the other spatial dimension (perpendicular to the track).
Line 265: For 'Those pixels' do you mean 'Co-polar Mie pixels'?
Lines 268-269: Paragraph needs fixing.
Line 278: What is 'features in 1' referring to?
Lines 290-291: Replace 'detects' with 'detect'. What do you mean by 'cutting corners'? It might be safer to write 'artificially rounding the corners of 2-dimensional features'.
Line 414: Replace 'ot' with 'it'.
Figures: Some figures will require their colour scales to be modified in order to meet the journal publication requirements.
Figure 5: Replace 'cut of' with 'cut off'.
Figure 7: Replace 'verticals scale' with 'vertical scale'.
Citation: https://doi.org/10.5194/egusphere-2023-145-RC2 -
AC2: 'Reply on RC2', Gerd-Jan van Zadelhoff, 01 Jun 2023
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2023/egusphere-2023-145/egusphere-2023-145-AC2-supplement.pdf
-
AC2: 'Reply on RC2', Gerd-Jan van Zadelhoff, 01 Jun 2023
Peer review completion
Journal article(s) based on this preprint
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Cited
3 citations as recorded by crossref.
- 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
- The EarthCARE mission – science and system overview T. Wehr et al. 10.5194/amt-16-3581-2023
- The generation of EarthCARE L1 test data sets using atmospheric model data sets D. Donovan et al. 10.5194/amt-16-5327-2023
David P. Donovan
Ping Wang
The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.
- Preprint
(4942 KB) - Metadata XML