Investigating an indirect aviation effect on mid-latitude cirrus clouds &ndash; linking lidar derived optical properties to in-situ measurements

Groß, Silke; Jurkat-Witschas, Tina; Li, Qiang; Wirth, Martin; Urbanek, Benedikt; Krämer, Martina; Weigel, Ralf; Voigt, Christiane

doi:https://doi.org/10.5194/acp-2022-721

Preprints

https://doi.org/10.5194/acp-2022-721

Preprints

02 Nov 2022

| 02 Nov 2022

Status: a revised version of this preprint was accepted for the journal ACP and is expected to appear here in due course.

Investigating an indirect aviation effect on mid-latitude cirrus clouds – linking lidar derived optical properties to in-situ measurements

Silke Groß, Tina Jurkat-Witschas, Qiang Li, Martin Wirth, Benedikt Urbanek, Martina Krämer, Ralf Weigel, and Christiane Voigt

Abstract. Aviation has a large impact on the Earth’s atmosphere and climate by various processes. Line shaped contrails and contrail cirrus clouds lead to changes in the natural cirrus cloud cover, and have a major contribution to the effective radiative forcing from aviation. In addition, aviation emitted aerosols may also change the microphysical properties and, in particular, the optical properties of naturally formed cirrus clouds. Latter aerosol-cloud interactions show large differences in the estimated resulting effective radiative forcing and our understanding on how aviation induced aerosols affect cirrus cloud properties is still poor. Up to now, observations of this aviation induced aerosol effect are rare. In this study, we use combined airborne lidar and in-situ ice cloud measurements to investigate differences in the microphysical and optical properties of naturally formed cirrus clouds, which either formed under influences of aviation induced aerosol emissions or which formed under rather pristine conditions. We relate collocated lidar measurements performed aboard HALO during the ML-CIRRUS mission of the particle linear depolarization ratio with in-situ cloud probe measurements of the number and effective diameter of the ice particles. We find that those clouds, which are more affected by aviation induced aerosol emission, are characterized by larger values of the particle linear depolarization ratio. These aviation-affected cirrus clouds exhibit larger mean effective ice particle diameters connected to decreased ice particle number concentrations, than the cirrus clouds, which evolved in more pristine regions. With this study, we provide new observations of aerosol-cloud interactions, that will help to quantify related changes in the atmospheric energy budget.

Received: 17 Oct 2022 – Discussion started: 02 Nov 2022

Silke Groß et al.

Status: closed

RC1:
'Comment on acp-2022-721', Anonymous Referee #1, 14 Nov 2022
The authors use a data set of airborne lidar and in-situ measurements to study the effect of aviation on the optical and microphysical properties of natural cirrus clouds. In an earlier study by some of the same authors, lidar measurements of the particle linear depolarization ratio (PLDR) were used together with backward trajectories to identify cirrus clouds that likely formed in regions of high and low air-traffic density. The present work follows up on the previous study by adding the analysis of coinciding in-situ measurements of the ice crystal size distribution and the ice crystal number concentration (ICNC) related to the two PLDR modes to the investigation of an indirect aviation effect on mid-latitude cirrus clouds. The authors conclude that cirrus clouds that are affected by aviation as indicated by higher values of PLDR also show larger effective ice crystal radii and lower ICNC compared to unperturbed, low-PLDR cirrus.

The authors address an interesting topic that is certainly relevant to the readers of ACP. They have a unique set of airborne observations at their disposal. However, the study itself as well as the presentation of the results need considerable improvement before they can be accepted for publication in ACP. Below is a list of major and minor comments to the authors.

Major comments

The text is quite repetitive, often imprecise, and sometimes just confused. Please refer to the minor comments below for details. The authors should review the text carefully. Language editing is urgently needed before publication.

The description of the data set and methodology is rather sloppy:

What is the procedure for ensuring that lidar and in-situ instruments have probed the same cloud? How have sections of the flights during ML-CIRRUS been selected for the analysis presented here?

Does the data set include all cases of coincident lidar and in-situ measurements? What is the volume of the data set of coincident lidar and in-situ observations? Is it a few minutes or several hours? This information is also missing in the corresponding plots.

Instead of providing information on the water vapour measurements (which are not used at all in this study), the authors could define the backscatter ratio for lidar non-experts or state what typical cirrus PLDR values are.

How are regions of high and low air-traffic density defined and how is the connection made to the measurements? You could provide a quick review of the procedure in Urbanek et al. (2018) and clarify that your analysis is the continuation of their work based on the same cases. If this is clear, you wouldn't need to reproduce an already published figure that isn't really necessary here (as is obvious from the fact that it isn't discussed at all). In any case, figures shouldn't be reproduced from an earlier publication.

The section on the in-situ measurements is quite confusing and ends with a statement that . While we don't know what that means or how the data of the different instruments have been combined, it seems that the consideration of data from NIXE-CAPS is sufficient for the purpose of this study. Please stick to the necessary data to keep the study simple.

The analysis of cirrus measurements for different temperatures could already be motivated and outlined in the methodology section. The availability of in-situ measurements of temperature and humidity is first mentioned in line 168. Why are these measurements and the corresponding instruments not listed in the data section?

The authors should revise the presentation of their data and results:

Table 1 is a reproduction of parts of Table 3 in Voigt et al. (2017). It would be more useful for the reader if the table was to include information on the inferred parameters for different cases rather than generic mission information. I would like to see, for instance, number of data points, length of measurements, mean PLDR, mean ICNC, mean Deff, etc. For readers of a scientific paper, dates – as used later in the plots – are much more tangible than arbitrary mission IDs.

Figure 1 is a reproduction of Urbanek et al. (2018). Why not just state that their cases will be used for closer inspection in this study? In any case, the authors should briefly review the approach in Urbanek et al. (2018) for allocating high and low PLDR cases to regions of high and low air-traffic density, respectively.

It is not clear what the readers should take from the lidar plots in Figures 2 and 5. It would be more straightforward to combine Figures 2c and 2d with Figure 3 (and analogous Figures 5c and d with Figure 6) into key plots that present all frequency distributions. In any case, please choose a plot mode that allows the readers to separate the different cases. Curves without fill would be an obvious choice over overlaid bar plots. Please also add information on the data sets to the plots if you decide against presenting them in a table.

Figure 4 could be omitted. Its content is fully described in a few sentences. Instead, it would be nice to get more information about the cirrus classification scheme either in the discussion of the second case study or already in the methodology section.

I suggest to motivate the analysis of clouds at different temperature already in the methodology. Figure 8 could be discussed before Figure 7. In addition, the left panel in Figure 7 seems unnecessary in light of Figure 8 and its discussion. Stating the message of that figure in the text is sufficient. It would be very helpful if median values were also marked in the plots in Figure 8, for instance by vertical lines.

The data show differences in ICNC and Deff for clouds with different PLDR. The value of this finding would be much increased if the authors where to present the result of a significance test.

Minor comments

line 36: Bräuer et al. (2021a) doesn't seem to be related to effects of biofuel. Please remove.

line 38: An increase in ICNC is also found in Marjani et al. (2022): https://doi.org/10.1029/2021GL096173.

line 40: IN should be INP as introduced in line 275.

line 53: Redundant. This has just been clarified in the previous paragraph.

line 55: ML-Cirrus or ML-CIRRUS?

line 57: pristine really means air-traffic free or with low air-traffic density. Please clarify throughout the manuscript.

line 64: less cirrus formation? Do you mean a reduction in cirrus occurrence?

line 69: energy forcing = radiative forcing?

line 75: They also found... Not clear what is stated here.

line 151-156: This introduction to the first case would be more trustworthy if the authors had provided a review of Urbanek et al. (2018) earlier in the manuscript. Please provide link to Urbanek (2018).

line 160-164: Consider putting this into a table.

line 164: It is not clear how embedded contrails have been identified.

line 170-173: As raised in the major comments, this statement indicates that data from NIXE-CAPS should be sufficient for the purpose of this study then.

line 175: Significant digits: give either exact numbers or rounded values, but not a combination of both.

line 183-186: Please revise the description for precision. Is it a cloud or a flow? What's the dimension related to several kilometres?

line 199-205: Consider putting this into a table.

line 254: This cannot be seen in the current Table 1. It could be, if the authors where to include a table that presents the values of the considered parameters for the different cases.

line 303: It would be nice to list these open questions as motivation for further research.
Citation: https://doi.org/10.5194/acp-2022-721-RC1
- AC1: 'Reply on RC1', Silke Gross, 19 Mar 2023
  
  The comment was uploaded in the form of a supplement: https://acp.copernicus.org/preprints/acp-2022-721/acp-2022-721-AC1-supplement.pdf
  
  Citation: https://doi.org/10.5194/acp-2022-721-AC1
RC2:
'Comment on acp-2022-721', Anonymous Referee #2, 30 Nov 2022
Investigating an indirect aviation effect on mid-latitude cirrus clouds- linking lidar derived optical properties to in-situ measurements, by Gross et al.

General comments

The authors investigate collocated in situ and lidar observations for two classes of high and low particulate linear depolarization ratio (PLDR) measured by the WALES lidar during the ML-CIRRUS field campaign as identified by Urbanek et al. (2018). The in situ measurements of interest are ice effective diameter and ice number concentration, and measurements in high PLDR (formed in air traffic regions) and low PLDR (formed in “pristine” regions) cirrus clouds are compared. After a quick presentation of the ML-CIRRUS campaign, of the WALES lidar system, and of the in situ instrumentation, comparisons are shown for two contrail cirrus clouds, two warm conveyor belt cirrus clouds, and finally for all flights, for which the comparisons are shown at 10 temperatures between 208 and 217 K. The authors conclude that in the 210-215 K temperature range, chosen to have a “sufficient contribution of both cloud types”, high PLDR mode clouds have larger effective diameter and lower number concentration, which is “an indication for more heterogeneous freezing due to aviation induces emissions”.

Even though not clarified in the abstract and in the introduction, this paper is an extension of the work presented by Urbanek et al. (2018), who found 2 classes of cirrus clouds with higher and lower PLDR, and who showed that they formed in busy air traffic regions and in regions with low aviation emissions, respectively. Urbanek et al. (2018) stated that heterogeneous freezing on emitted exhaust particles could explain the lower super saturations and higher PLDR that they found.

The lidar results derived from Urbanek et al. (2018) are well presented, which is convenient for the reader, but I was expecting to see more solid material about the in situ measurements. Section 2.3 about the in situ instrumentation does not discuss the expected performances of the instruments. It is not clear if NIXE-CAPS alone is sufficient for this study. I was expecting detailed presentations and discussions of the “combined” and “coordinated” lidar and in situ measurements, with discussions regarding the spatial and temporal collocations of the in situ and lidar legs. In the two case studies, the authors compare cirrus clouds of the same type and discuss the relevance of the comparisons. No conclusion could be drawn for the second case study (sect. 3.2) because temperatures differed by about 10 K (223 K and 232 K). In section 3.3 where all flights are combined for the comparisons, the relevance of the comparisons is not discussed. The authors present comparisons vs. temperature (Fig. 8), but only between 208 and 217 K (10 temperature values). As a matter of fact, not all in situ data were used. The authors need to detail which flights were selected for Fig. 8, why, how many PSDs per temperature range in the high and low PLDR modes, etc… I am not convinced that different number of samples justifies ignoring the cases which do not match the expectations. This might indicate that other phenomena come into play. I understand that such comparisons are challenging and that the campaign was not designed for this type of analysis.

In my opinion, the analyses presented in the manuscript are incomplete, and this manuscript does not represent a sufficient contribution to scientific progress to be accepted for publication in ACP. However, the scientific question is important, and perhaps the following suggestions and questions will help the authors pursuing this effort.

Specific comments

Abstract:

Lines 20-22: this is misleading. These findings were published by Urbanek et al. (2018).

Lines 22-23: in my opinion, this is an overstatement.

Introduction:

Line 83: I strongly suggest to clarify that the cirrus clouds formed in air traffic regions or in pristine regions are identified according to the classification established by Urbanek et al. (2018) which is based on lidar measurements of PLDR. Lines 55 to 59 could be moved here.

Section 2 method

Section 2.1:

Only 8 flights are listed in Table 1 (which should be introduced in the text), whereas 16 flights are shown in Fig. 1, with combined remote sensing and in situ observations for all these flights if I understand the text correctly. Please confirm that only the 8 flights listed in Table 1 are relevant for this study and explain why. For clarity, only the 8 flights listed in Table 1 should be shown in Fig. 1.

Later in the paper, the authors refer to Table 1 when discussing number of observations in various conditions. I suggest providing for each flight information such as the number of PSDs, temperature and altitude range, PLDR range, etc…A suggestion is to add a dedicated table at the beginning of Section 3.

Please define the PLDR: ratio of which quantities?

Section 2.3

How many instruments were involved for this study? How do NIXE-CAPS, CAS-DLR and CIPg-UniM compare in terms of sensitivity range? Which instrument(s) was/were not available when only data from the NIXE-CAPS instrument were available and what are the possible consequences for this study? Please specify when you state that “comparison of the data sets for all other days showed a good agreement”.

Please define the effective diameter Deff and explain how it is computed from the PSDs. I anticipate that assumptions are necessary. I could not find the Schumann et al. (2010) reference.

Line 139: the data are averaged over 5 s intervals. Can you comment on the number of PSDs for each flight? This piece of information should be provided.

Section 3 results

It might be worth clarifying or reminding that the goal is to compare in situ measurements in two classes of cirrus clouds exhibiting large and low PLDR as established by Urbanek et al. (2018). The authors actually investigate the microphysical properties.

Section 3.1

Can you explain why the cirrus with embedded fresh contrails observed on April 7^th, 2014 is not somewhat affected by aviation exhaust. I could not have access to Stettler et al. (2013), but nevertheless, I think that this deserves an explanation in this paper.

Line 171: why care about a missing instrument on 7 March? Unless you meant 7 April? Why no impact on the results if an instrument is missing?

Is it possible to point to the regions with embedded fresh contrails in the lidar plots? Are these regions identified from observations or from the model?

The authors should present in details the spatial and temporal collocations of the lidar measurements and in situ measurements presented in this paper. I note that in situ measurements are shown in Wang et al. (2022) for the 26 March, 2014 flight. The authors should clarify which in situ legs are used in this work, and how they were chosen. The number of PSDs for each flight, altitudes and temperatures could be added in Figure 3 for clarity.

I see large Deff > 100 um on April 7^th even though median Deff is smaller than on March 26^th. This should be acknowledged. Authors should discuss in this section the various possible reasons for the larger N on April 7^th compared to March 26^th. For instance, it seems that the in situ measurements were higher in the cloud on April 7^th, and perhaps closer to an embedded fresh contrail? Plots showing N vs. Deff for each case could be useful for this discussion.

Section 3.2

Lines 183-186: are you describing liquid origin cirrus clouds (e.g. Luebke et al., ACP, 2016)?

The authors should present in details the spatial and temporal collocations of the lidar and in situ measurements. Same comments as for the previous case study.

Section 3.3

I believe that Fig. 7 is not really useful here and that Fig. 8 is the most interesting. That being said, the warmest temperature is 217 K, which indicates that the comparisons presented in section 3.2 (223 and 232 K) are not included. I really do not understand. I see that Fig. 8 uses data from CAS-DLR/CIPg-UniM and NIXE-CAPS, but having only NIXE-CAPS did not seem to be an issue for the case study presented in section 3.1. Please justify this choice and detail which flights were used to create Fig. 8 and which cirrus types. I suggest to give the number of PSDs at each temperature for the high and low PLDR range to avoid vague discussions.

I see Deff larger in the high PLDR mode (dark blue) than in the low PLDR mode (light blue) only at 210 K and between 212 and 214 K. N is smaller in the high PLDR mode except at 215 K and 217 K. I am not convinced that the different number of samples justifies ignoring the cases which do not match the expectations. This might indicate that other phenomena come into play.

Line 247: The “tendency towards larger Deff with temperatures” is consistent with numerous publications found in the literature, which should be cited.

Discussion and conclusions (should be section 4?):

Lines 265-266: respectfully, I think that this is an overstatement. I see these findings only at 210 K and between 212 and 214 K.
Citation: https://doi.org/10.5194/acp-2022-721-RC2
- AC2: 'Reply on RC2', Silke Gross, 19 Mar 2023
  
  The comment was uploaded in the form of a supplement: https://acp.copernicus.org/preprints/acp-2022-721/acp-2022-721-AC2-supplement.pdf
  
  Citation: https://doi.org/10.5194/acp-2022-721-AC2

Status: closed

RC1:
'Comment on acp-2022-721', Anonymous Referee #1, 14 Nov 2022
The authors use a data set of airborne lidar and in-situ measurements to study the effect of aviation on the optical and microphysical properties of natural cirrus clouds. In an earlier study by some of the same authors, lidar measurements of the particle linear depolarization ratio (PLDR) were used together with backward trajectories to identify cirrus clouds that likely formed in regions of high and low air-traffic density. The present work follows up on the previous study by adding the analysis of coinciding in-situ measurements of the ice crystal size distribution and the ice crystal number concentration (ICNC) related to the two PLDR modes to the investigation of an indirect aviation effect on mid-latitude cirrus clouds. The authors conclude that cirrus clouds that are affected by aviation as indicated by higher values of PLDR also show larger effective ice crystal radii and lower ICNC compared to unperturbed, low-PLDR cirrus.

The authors address an interesting topic that is certainly relevant to the readers of ACP. They have a unique set of airborne observations at their disposal. However, the study itself as well as the presentation of the results need considerable improvement before they can be accepted for publication in ACP. Below is a list of major and minor comments to the authors.

Major comments

The text is quite repetitive, often imprecise, and sometimes just confused. Please refer to the minor comments below for details. The authors should review the text carefully. Language editing is urgently needed before publication.

The description of the data set and methodology is rather sloppy:

What is the procedure for ensuring that lidar and in-situ instruments have probed the same cloud? How have sections of the flights during ML-CIRRUS been selected for the analysis presented here?

Does the data set include all cases of coincident lidar and in-situ measurements? What is the volume of the data set of coincident lidar and in-situ observations? Is it a few minutes or several hours? This information is also missing in the corresponding plots.

Instead of providing information on the water vapour measurements (which are not used at all in this study), the authors could define the backscatter ratio for lidar non-experts or state what typical cirrus PLDR values are.

How are regions of high and low air-traffic density defined and how is the connection made to the measurements? You could provide a quick review of the procedure in Urbanek et al. (2018) and clarify that your analysis is the continuation of their work based on the same cases. If this is clear, you wouldn't need to reproduce an already published figure that isn't really necessary here (as is obvious from the fact that it isn't discussed at all). In any case, figures shouldn't be reproduced from an earlier publication.

The section on the in-situ measurements is quite confusing and ends with a statement that . While we don't know what that means or how the data of the different instruments have been combined, it seems that the consideration of data from NIXE-CAPS is sufficient for the purpose of this study. Please stick to the necessary data to keep the study simple.

The analysis of cirrus measurements for different temperatures could already be motivated and outlined in the methodology section. The availability of in-situ measurements of temperature and humidity is first mentioned in line 168. Why are these measurements and the corresponding instruments not listed in the data section?

The authors should revise the presentation of their data and results:

Table 1 is a reproduction of parts of Table 3 in Voigt et al. (2017). It would be more useful for the reader if the table was to include information on the inferred parameters for different cases rather than generic mission information. I would like to see, for instance, number of data points, length of measurements, mean PLDR, mean ICNC, mean Deff, etc. For readers of a scientific paper, dates – as used later in the plots – are much more tangible than arbitrary mission IDs.

Figure 1 is a reproduction of Urbanek et al. (2018). Why not just state that their cases will be used for closer inspection in this study? In any case, the authors should briefly review the approach in Urbanek et al. (2018) for allocating high and low PLDR cases to regions of high and low air-traffic density, respectively.

It is not clear what the readers should take from the lidar plots in Figures 2 and 5. It would be more straightforward to combine Figures 2c and 2d with Figure 3 (and analogous Figures 5c and d with Figure 6) into key plots that present all frequency distributions. In any case, please choose a plot mode that allows the readers to separate the different cases. Curves without fill would be an obvious choice over overlaid bar plots. Please also add information on the data sets to the plots if you decide against presenting them in a table.

Figure 4 could be omitted. Its content is fully described in a few sentences. Instead, it would be nice to get more information about the cirrus classification scheme either in the discussion of the second case study or already in the methodology section.

I suggest to motivate the analysis of clouds at different temperature already in the methodology. Figure 8 could be discussed before Figure 7. In addition, the left panel in Figure 7 seems unnecessary in light of Figure 8 and its discussion. Stating the message of that figure in the text is sufficient. It would be very helpful if median values were also marked in the plots in Figure 8, for instance by vertical lines.

The data show differences in ICNC and Deff for clouds with different PLDR. The value of this finding would be much increased if the authors where to present the result of a significance test.

Minor comments

line 36: Bräuer et al. (2021a) doesn't seem to be related to effects of biofuel. Please remove.

line 38: An increase in ICNC is also found in Marjani et al. (2022): https://doi.org/10.1029/2021GL096173.

line 40: IN should be INP as introduced in line 275.

line 53: Redundant. This has just been clarified in the previous paragraph.

line 55: ML-Cirrus or ML-CIRRUS?

line 57: pristine really means air-traffic free or with low air-traffic density. Please clarify throughout the manuscript.

line 64: less cirrus formation? Do you mean a reduction in cirrus occurrence?

line 69: energy forcing = radiative forcing?

line 75: They also found... Not clear what is stated here.

line 151-156: This introduction to the first case would be more trustworthy if the authors had provided a review of Urbanek et al. (2018) earlier in the manuscript. Please provide link to Urbanek (2018).

line 160-164: Consider putting this into a table.

line 164: It is not clear how embedded contrails have been identified.

line 170-173: As raised in the major comments, this statement indicates that data from NIXE-CAPS should be sufficient for the purpose of this study then.

line 175: Significant digits: give either exact numbers or rounded values, but not a combination of both.

line 183-186: Please revise the description for precision. Is it a cloud or a flow? What's the dimension related to several kilometres?

line 199-205: Consider putting this into a table.

line 254: This cannot be seen in the current Table 1. It could be, if the authors where to include a table that presents the values of the considered parameters for the different cases.

line 303: It would be nice to list these open questions as motivation for further research.
Citation: https://doi.org/10.5194/acp-2022-721-RC1
- AC1: 'Reply on RC1', Silke Gross, 19 Mar 2023
  
  The comment was uploaded in the form of a supplement: https://acp.copernicus.org/preprints/acp-2022-721/acp-2022-721-AC1-supplement.pdf
  
  Citation: https://doi.org/10.5194/acp-2022-721-AC1
RC2:
'Comment on acp-2022-721', Anonymous Referee #2, 30 Nov 2022
Investigating an indirect aviation effect on mid-latitude cirrus clouds- linking lidar derived optical properties to in-situ measurements, by Gross et al.

General comments

The authors investigate collocated in situ and lidar observations for two classes of high and low particulate linear depolarization ratio (PLDR) measured by the WALES lidar during the ML-CIRRUS field campaign as identified by Urbanek et al. (2018). The in situ measurements of interest are ice effective diameter and ice number concentration, and measurements in high PLDR (formed in air traffic regions) and low PLDR (formed in “pristine” regions) cirrus clouds are compared. After a quick presentation of the ML-CIRRUS campaign, of the WALES lidar system, and of the in situ instrumentation, comparisons are shown for two contrail cirrus clouds, two warm conveyor belt cirrus clouds, and finally for all flights, for which the comparisons are shown at 10 temperatures between 208 and 217 K. The authors conclude that in the 210-215 K temperature range, chosen to have a “sufficient contribution of both cloud types”, high PLDR mode clouds have larger effective diameter and lower number concentration, which is “an indication for more heterogeneous freezing due to aviation induces emissions”.

Even though not clarified in the abstract and in the introduction, this paper is an extension of the work presented by Urbanek et al. (2018), who found 2 classes of cirrus clouds with higher and lower PLDR, and who showed that they formed in busy air traffic regions and in regions with low aviation emissions, respectively. Urbanek et al. (2018) stated that heterogeneous freezing on emitted exhaust particles could explain the lower super saturations and higher PLDR that they found.

The lidar results derived from Urbanek et al. (2018) are well presented, which is convenient for the reader, but I was expecting to see more solid material about the in situ measurements. Section 2.3 about the in situ instrumentation does not discuss the expected performances of the instruments. It is not clear if NIXE-CAPS alone is sufficient for this study. I was expecting detailed presentations and discussions of the “combined” and “coordinated” lidar and in situ measurements, with discussions regarding the spatial and temporal collocations of the in situ and lidar legs. In the two case studies, the authors compare cirrus clouds of the same type and discuss the relevance of the comparisons. No conclusion could be drawn for the second case study (sect. 3.2) because temperatures differed by about 10 K (223 K and 232 K). In section 3.3 where all flights are combined for the comparisons, the relevance of the comparisons is not discussed. The authors present comparisons vs. temperature (Fig. 8), but only between 208 and 217 K (10 temperature values). As a matter of fact, not all in situ data were used. The authors need to detail which flights were selected for Fig. 8, why, how many PSDs per temperature range in the high and low PLDR modes, etc… I am not convinced that different number of samples justifies ignoring the cases which do not match the expectations. This might indicate that other phenomena come into play. I understand that such comparisons are challenging and that the campaign was not designed for this type of analysis.

In my opinion, the analyses presented in the manuscript are incomplete, and this manuscript does not represent a sufficient contribution to scientific progress to be accepted for publication in ACP. However, the scientific question is important, and perhaps the following suggestions and questions will help the authors pursuing this effort.

Specific comments

Abstract:

Lines 20-22: this is misleading. These findings were published by Urbanek et al. (2018).

Lines 22-23: in my opinion, this is an overstatement.

Introduction:

Line 83: I strongly suggest to clarify that the cirrus clouds formed in air traffic regions or in pristine regions are identified according to the classification established by Urbanek et al. (2018) which is based on lidar measurements of PLDR. Lines 55 to 59 could be moved here.

Section 2 method

Section 2.1:

Only 8 flights are listed in Table 1 (which should be introduced in the text), whereas 16 flights are shown in Fig. 1, with combined remote sensing and in situ observations for all these flights if I understand the text correctly. Please confirm that only the 8 flights listed in Table 1 are relevant for this study and explain why. For clarity, only the 8 flights listed in Table 1 should be shown in Fig. 1.

Later in the paper, the authors refer to Table 1 when discussing number of observations in various conditions. I suggest providing for each flight information such as the number of PSDs, temperature and altitude range, PLDR range, etc…A suggestion is to add a dedicated table at the beginning of Section 3.

Please define the PLDR: ratio of which quantities?

Section 2.3

How many instruments were involved for this study? How do NIXE-CAPS, CAS-DLR and CIPg-UniM compare in terms of sensitivity range? Which instrument(s) was/were not available when only data from the NIXE-CAPS instrument were available and what are the possible consequences for this study? Please specify when you state that “comparison of the data sets for all other days showed a good agreement”.

Please define the effective diameter Deff and explain how it is computed from the PSDs. I anticipate that assumptions are necessary. I could not find the Schumann et al. (2010) reference.

Line 139: the data are averaged over 5 s intervals. Can you comment on the number of PSDs for each flight? This piece of information should be provided.

Section 3 results

It might be worth clarifying or reminding that the goal is to compare in situ measurements in two classes of cirrus clouds exhibiting large and low PLDR as established by Urbanek et al. (2018). The authors actually investigate the microphysical properties.

Section 3.1

Can you explain why the cirrus with embedded fresh contrails observed on April 7^th, 2014 is not somewhat affected by aviation exhaust. I could not have access to Stettler et al. (2013), but nevertheless, I think that this deserves an explanation in this paper.

Line 171: why care about a missing instrument on 7 March? Unless you meant 7 April? Why no impact on the results if an instrument is missing?

Is it possible to point to the regions with embedded fresh contrails in the lidar plots? Are these regions identified from observations or from the model?

The authors should present in details the spatial and temporal collocations of the lidar measurements and in situ measurements presented in this paper. I note that in situ measurements are shown in Wang et al. (2022) for the 26 March, 2014 flight. The authors should clarify which in situ legs are used in this work, and how they were chosen. The number of PSDs for each flight, altitudes and temperatures could be added in Figure 3 for clarity.

I see large Deff > 100 um on April 7^th even though median Deff is smaller than on March 26^th. This should be acknowledged. Authors should discuss in this section the various possible reasons for the larger N on April 7^th compared to March 26^th. For instance, it seems that the in situ measurements were higher in the cloud on April 7^th, and perhaps closer to an embedded fresh contrail? Plots showing N vs. Deff for each case could be useful for this discussion.

Section 3.2

Lines 183-186: are you describing liquid origin cirrus clouds (e.g. Luebke et al., ACP, 2016)?

The authors should present in details the spatial and temporal collocations of the lidar and in situ measurements. Same comments as for the previous case study.

Section 3.3

I believe that Fig. 7 is not really useful here and that Fig. 8 is the most interesting. That being said, the warmest temperature is 217 K, which indicates that the comparisons presented in section 3.2 (223 and 232 K) are not included. I really do not understand. I see that Fig. 8 uses data from CAS-DLR/CIPg-UniM and NIXE-CAPS, but having only NIXE-CAPS did not seem to be an issue for the case study presented in section 3.1. Please justify this choice and detail which flights were used to create Fig. 8 and which cirrus types. I suggest to give the number of PSDs at each temperature for the high and low PLDR range to avoid vague discussions.

I see Deff larger in the high PLDR mode (dark blue) than in the low PLDR mode (light blue) only at 210 K and between 212 and 214 K. N is smaller in the high PLDR mode except at 215 K and 217 K. I am not convinced that the different number of samples justifies ignoring the cases which do not match the expectations. This might indicate that other phenomena come into play.

Line 247: The “tendency towards larger Deff with temperatures” is consistent with numerous publications found in the literature, which should be cited.

Discussion and conclusions (should be section 4?):

Lines 265-266: respectfully, I think that this is an overstatement. I see these findings only at 210 K and between 212 and 214 K.
Citation: https://doi.org/10.5194/acp-2022-721-RC2
- AC2: 'Reply on RC2', Silke Gross, 19 Mar 2023
  
  The comment was uploaded in the form of a supplement: https://acp.copernicus.org/preprints/acp-2022-721/acp-2022-721-AC2-supplement.pdf
  
  Citation: https://doi.org/10.5194/acp-2022-721-AC2

Silke Groß et al.

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Short summary

Aviation emitted aerosol can have an impact on cirrus clouds. We present optical and microphysical properties of mid-latitude cirrus clouds which were formed either under the influence of aviation emitted aerosol or which were formed under rather pristine conditions. We find that cirrus clouds affected by aviation emitted aerosol show larger values of the particle linear depolarization ratio, larger mean effective ice particle diameters and decreased ice particle number concentrations.


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