the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
| 11 Feb 2025
Improved hydrometeor detection near the Earth’s surface by a conically scanning spaceborne W-band radar
Abstract. The Earth’s strong radar surface return limits the detection of clouds and precipitation in the lowest part of the atmosphere by nadir-pointing spaceborne radars such as CloudSat and EarthCARE. The strength of the Earth’s surface radar return is significantly reduced at non-zero incidence angles. The WIVERN 94 GHz radar, currently undergoing Phase A studies by ESA, employs a 3-meter antenna and conical radar sampling at high incidence angles. Here, the benefits of the narrow field of view and the reduction in the Earth’s surface return for studying clouds and precipitation in the lowest kilometers of the atmosphere are quantified. The WIVERN radar is expected to improve the signal (hydrometeors) to clutter (surface return) ratio over ice-free ocean surfaces and marginally worsen it over land and sea ice. The impact of these findings on the detection of light rainfall and snowfall near the Earth’s surface is discussed.
Competing interests: At least one of the (co-)authors is a member of the editorial board of Atmospheric Measurement Techniques.
Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.- Preprint
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RC1: 'Comment on egusphere-2025-416', Anonymous Referee #1, 31 Mar 2025
The submitted manuscript addresses the use of a conically-scanned radar for spaceborne measurements of precipitation. The concept underlies a radar instrument called WIVERN that may be developed and launched over the next decade, so continued analysis of the WIVERN instrument seems quite relevant to this publication’s readers. Previous publications on the topic of WIVERN include an overview of the design (2018), and various related aspects, including a radar simulator, effects of clutter in orography, impacts of channel cross-talk, effects of mispointing, and radar signal processing. The manuscript under consideration addresses clutter but appears to be covering new territory, relative to previous publications. It introduces the clutter problem and provides several related equations. It then shows two case studies of precipitation with clutter effects for CloudSat, EarthCARE, and for WIVERN. The discussion is generally clear and gives a balanced treatment of WIVERN’s capabilities as compared with nadir-looking spaceborne radars. I think it can be a valuable addition to the literature, but I do have some questions and comments that should be addressed.
Questions and Comments for the Authors:
- There are a number of other WIVERN publications that are not cited. It would be good to confirm that all clutter-related papers are referenced and that this paper explains its novelty relative to those.
- Around line 50, the advantages of conically-scanned W-band radar are noted, but it might be reasonable to list some disadvantages, in particular the large attenuation that needs to be removed when viewing liquid precipitation.
- I think the equations developed in Section 2.1 need better motivation, especially the use of the Gaussian antenna. It appears that the WIVERN calculations use a calculated pattern. Is the Gaussian used for CloudSat and EarthCARE? Is (7) the clutter reflectivity being plotted in Figure 2?
- Do the results in Figure 2 represent the total clutter, from all pulses that could arrive simultaneous with the atmospheric pulse, or only from the pulse illuminating the atmosphere? If only the latter, I would be concerned that the clutter estimate is not complete.
- Around line 125, it could be pointed out that even at the 14 m/s windspeed, the clutter appears small enough that it would be below the thermal noise for WIVERN.
- Line 193, the text could mention the land/ocean contrast that can be seen in Figure 7.
- Line 206: The text points out a thicker clutter signal when flying over land. This is related to the total clutter level and its profile, as well as the color table being used for the image. It might be clearer to mention the level and the 3-dB width.
- Figure 8 compares the simulated WIVERN and CloudSat data. What are the vertical resolutions (not slant range) in the two cases?
- The smaller figure format used for the Labrador case might also work for the west coast case. The larger figures for that case are easier to read but also require a lot of moving around to see both text and figures, when reading.
- I think the text for the snowfall case could be expanded to give more explanation for what is seen. Is the main difference (better detection down to the ground for snowfall) related to the lack of strong attenuation?
- The statistical analysis in 3.2 could also provide a better explanation. In particular, line 247 notes that the “results clearly highlight”. It would be good to point out the particular results in detail, explaining the choice of the definition of DeltaZ and explaining the significance of the plots. This explanation would also help with understanding of the results in Section 3.3. What was the reason for using the SCR=5 dB height?
- Line 255 – in what sense is the WIVERN sampling improved? Is this related to the wide swath, which is, indeed, a nice feature?Minor edits:
- Line 27, the parentheses make reading the sentence difficult. Please consider revising.
- Consider removing paragraph breaks at lines 32, 45, 57, 117, 308.
- Figure 1, please add the angles used in Section 2.1.Citation: https://doi.org/10.5194/egusphere-2025-416-RC1 -
AC1: 'Reply on RC1', Marco Coppola, 07 May 2025
- There are a number of other WIVERN publications that are not cited. It would be good to confirm that all clutter-related papers are referenced and that this paper explains its novelty relative to those.
All the relevant papers to the clutter study have been cited all throughout the text. We add a sentence in the intro with reference to the paper by Manconi et al. 2025 and have changed the intro to make more clear the originality of the paper.
- Around line 50, the advantages of conically-scanned W-band radar are noted, but it might be reasonable to list some disadvantages, in particular the large attenuation that needs to be removed when viewing liquid precipitation.
A statement has been added to the paper. (“On the other hand the conical scan complicates the interpretation of the measurements, increases the attenuation due to the longer slant path and the impact of antenna side-lobes”).
- I think the equations developed in Section 2.1 need better motivation, especially the use of the Gaussian antenna. It appears that the WIVERN calculations use a calculated pattern. Is the Gaussian used for CloudSat and EarthCARE? Is (7) the clutter reflectivity being plotted in Figure 2?Gaussian antenna describes very well the behaviour of the main lobe even for WIVERN (compare black dotted and blue line in Fig.2). since all expressions are analytical we thought it was useful to report them. We introduce a new sentence to motivate our choice.
- Do the results in Figure 2 represent the total clutter, from all pulses that could arrive simultaneous with the atmospheric pulse, or only from the pulse illuminating the atmosphere? If only the latter, I would be concerned that the clutter estimate is not complete.We have neglected this effect. If we understand correctly the reviewer’s comment he is concerned for the next and following pulses potentially interacting with the main pulse. With the PRF envisaged for WIVERN (3kHz) and the geometry of WIVERN for the closest pulses to get the same range as the main pulse the angular displacement should be of the order of 4-5o compared to the boresight. Since the antenna gain at such angles is more than 40 dB lower than the gain at the boresight we expect this will not be a problem.
- Around line 125, it could be pointed out that even at the 14 m/s windspeed, the clutter appears small enough that it would be below the thermal noise for WIVERN.
Not sure we understand the reviewer’s comment. As shown in Fig.2 the clutter is not below WIVERN thermal noise. To be so the sigma0 need to drop roughly 60 dB compared to nadir (this may occur exceptionally at very low winds in the doldrums).
- Line 193, the text could mention the land/ocean contrast that can be seen in Figure 7.The text will be modified according to the comment.
- Line 206: The text points out a thicker clutter signal when flying over land. This is related to the total clutter level and its profile, as well as the color table being used for the image. It might be clearer to mention the level and the 3-dB width.The text will be modified according to the comment, both figures will be modified adding the level of the SCR=5dB in the land as well.
- Figure 8 compares the simulated WIVERN and CloudSat data. What are the vertical resolutions (not slant range) in the two cases?Both platform simulations have a vertical resolution of 140m.
- The smaller figure format used for the Labrador case might also work for the west coast case. The larger figures for that case are easier to read but also require a lot of moving around to see both text and figures, when reading.The figures will be adapted to the required format
- I think the text for the snowfall case could be expanded to give more explanation for what is seen. Is the main difference (better detection down to the ground for snowfall) related to the lack of strong attenuation?The text will be modified as follows to clear out the difference: Ice scattering properties in the W band ensure low attenuation, when only solid phase clouds are present, and thanks to the slant view over sea water the contribution given by the surface clutter is minimal.
- The statistical analysis in 3.2 could also provide a better explanation. In particular, line 247 notes that the “results clearly highlight”. It would be good to point out the particular results in detail, explaining the choice of the definition of DeltaZ and explaining the significance of the plots. This explanation would also help with understanding of the results in Section 3.3. What was the reason for using the SCR=5 dB height?The text will be modified according to the commentThe 5dB threshold has been selected on an arbitrary basis from a range of values for which the signal is not contaminated by surface clutter. It is important to note that, given that this is a comparative analysis, the specific threshold selected is inconsequential, provided that it is applied uniformly to both cases.
- Line 255 – in what sense is the WIVERN sampling improved? Is this related to the wide swath, which is, indeed, a nice feature?
WIVERN has improved sampling capabilities compared to nadir pointing radars due to its conically scanning radar that provide many more samplings and coverage.
Minor edits:
- Line 27, the parentheses make reading the sentence difficult. Please consider revising.The text will be adapted to the comment
- Consider removing paragraph breaks at lines 32, 45, 57, 117, 308.The text will be adapted to the comment
- Figure 1, please add the angles used in Section 2.1.The figure will be adapted to the comment
Citation: https://doi.org/10.5194/egusphere-2025-416-AC1
-
AC1: 'Reply on RC1', Marco Coppola, 07 May 2025
-
RC2: 'Comment on egusphere-2025-416', Anonymous Referee #2, 09 Apr 2025
The submitted manuscript focuses on detecting precipitation measurements using a conical scanning satellite radar. It is based on the WIVERN radar instrument, which has been developed over the past few years and could be further developed and launched in the next decade. The manuscript compares the conical scans to those of a nadir-directed radar.
The present manuscript addresses WIVERN's reduced ocean surface clutter and, therefore, the increase of precipitation detection compared to nadir-looking satellite missions. In the first part of the manuscript, the equations that underlie the simulations analysed later are introduced and listed. These equations are then applied to case studies of precipitation with clutter effects for CloudSat, EarthCARE, and WIVERN. The discussion provides a comprehensive overview of the advantages of WIVERN over nadir-view radars. This insight is exciting and enriches the existing literature.
Nevertheless, I still have some questions and comments about the submitted manuscript, which I will outline below.
- In general, one could emphasise in the introduction that this refers to reduced clutter over oceans rather than over land. For non-experts, this might give the impression that an increased detection of kidney strike is generally expected worldwide. However, that is not the case, is it?
- I suggest adding a flowchart or a sketch that illustrates all the angles and areas mentioned in the introduction of the formulas. Alternatively, could you add this information to Figure 1? In Equation 1, the incidence angle is yindicated, but in Figure, is S from Equation 1 the darker blue circle in Figure 1?
- Figure 2: Why is the black dotted line not in the legend?
- The text would generally benefit from more precise labelling of the figures. Particularly in the case study and statistical analysis section, many small and large plots are combined into a single figure. Numbering them with a), b), etc., would greatly enhance the text's readability. This approach allows figures to be recognised more quickly, helping the reader locate the correct figure faster.
- Section 3, line 141: Which lookup tables were used precisely? Are there any references? Likewise, for the calculation of the gas absorption (line 143)
- Section 3 includes numerous illustrations. To enhance information extraction from them, the text requires additional explanations or more detailed descriptions of the figures, making it easier for readers to understand and access the information the writer intends to convey. For non-experts, the statistical information is otherwise quite challenging to grasp. A suggestion could be to summarise the data and reduce the number of illustrations to help manage the overwhelming amount of information.
Citation: https://doi.org/10.5194/egusphere-2025-416-RC2 -
AC2: 'Reply on RC2', Marco Coppola, 07 May 2025
- In general, one could emphasise in the introduction that this refers to reduced clutter over oceans rather than over land. For non-experts, this might give the impression that an increased detection of kidney strike is generally expected worldwide. However, that is not the case, is it?
A sentence has been introduced at the beginning to clarify the distinction between ocean and land.
- I suggest adding a flowchart or a sketch that illustrates all the angles and areas mentioned in the introduction of the formulas. Alternatively, could you add this information to Figure 1? In Equation 1, the incidence angle is yindicated, but in Figure, is S from Equation 1 the darker blue circle in Figure 1?
The figure has been updated
- Figure 2: Why is the black dotted line not in the legend?
Its description is present in the caption. The curve has been introduced for showing how good is the Gaussian approximation. It is not in the legend to avoid cluttering too much the figure (the dotted curve is not the main message of the figure).
- The text would generally benefit from more precise labelling of the figures. Particularly in the case study and statistical analysis section, many small and large plots are combined into a single figure. Numbering them with a), b), etc., would greatly enhance the text's readability. This approach allows figures to be recognised more quickly, helping the reader locate the correct figure faster.
The text will be adapted to the comment
- Section 3, line 141: Which lookup tables were used precisely? Are there any references? Likewise, for the calculation of the gas absorption (line 143)
The lookup tables are computed using Mie and Rayleigh-Gans models for single particle scattering for each hydrometeor (details in Sect 2.22. in Battaglia, A., Martire, P., Caubet, E., Phalippou, L., Stesina, F., Kollias, P., and Illingworth, A.: Observation error analysis for the WInd VElocity Radar Nephoscope W-band Doppler conically scanning spaceborne radar via end-to-end simulations, Atmos. Meas. Tech., 15, 3011–3030, https://doi.org/10.5194/amt-15-3011-2022, 2022.). Variations of Temperature, mean mass weighted diameter and mu parameter have been accounted for in the lookup tables.
Section 3 includes numerous illustrations. To enhance information extraction from them, the text requires additional explanations or more detailed descriptions of the figures, making it easier for readers to understand and access the information the writer intends to convey. For non-experts, the statistical information is otherwise quite challenging to grasp. A suggestion could be to summarise the data and reduce the number of illustrations to help manage the overwhelming amount of information.
The text will be adapted to the comment
Citation: https://doi.org/10.5194/egusphere-2025-416-AC2
Status: closed
-
RC1: 'Comment on egusphere-2025-416', Anonymous Referee #1, 31 Mar 2025
The submitted manuscript addresses the use of a conically-scanned radar for spaceborne measurements of precipitation. The concept underlies a radar instrument called WIVERN that may be developed and launched over the next decade, so continued analysis of the WIVERN instrument seems quite relevant to this publication’s readers. Previous publications on the topic of WIVERN include an overview of the design (2018), and various related aspects, including a radar simulator, effects of clutter in orography, impacts of channel cross-talk, effects of mispointing, and radar signal processing. The manuscript under consideration addresses clutter but appears to be covering new territory, relative to previous publications. It introduces the clutter problem and provides several related equations. It then shows two case studies of precipitation with clutter effects for CloudSat, EarthCARE, and for WIVERN. The discussion is generally clear and gives a balanced treatment of WIVERN’s capabilities as compared with nadir-looking spaceborne radars. I think it can be a valuable addition to the literature, but I do have some questions and comments that should be addressed.
Questions and Comments for the Authors:
- There are a number of other WIVERN publications that are not cited. It would be good to confirm that all clutter-related papers are referenced and that this paper explains its novelty relative to those.
- Around line 50, the advantages of conically-scanned W-band radar are noted, but it might be reasonable to list some disadvantages, in particular the large attenuation that needs to be removed when viewing liquid precipitation.
- I think the equations developed in Section 2.1 need better motivation, especially the use of the Gaussian antenna. It appears that the WIVERN calculations use a calculated pattern. Is the Gaussian used for CloudSat and EarthCARE? Is (7) the clutter reflectivity being plotted in Figure 2?
- Do the results in Figure 2 represent the total clutter, from all pulses that could arrive simultaneous with the atmospheric pulse, or only from the pulse illuminating the atmosphere? If only the latter, I would be concerned that the clutter estimate is not complete.
- Around line 125, it could be pointed out that even at the 14 m/s windspeed, the clutter appears small enough that it would be below the thermal noise for WIVERN.
- Line 193, the text could mention the land/ocean contrast that can be seen in Figure 7.
- Line 206: The text points out a thicker clutter signal when flying over land. This is related to the total clutter level and its profile, as well as the color table being used for the image. It might be clearer to mention the level and the 3-dB width.
- Figure 8 compares the simulated WIVERN and CloudSat data. What are the vertical resolutions (not slant range) in the two cases?
- The smaller figure format used for the Labrador case might also work for the west coast case. The larger figures for that case are easier to read but also require a lot of moving around to see both text and figures, when reading.
- I think the text for the snowfall case could be expanded to give more explanation for what is seen. Is the main difference (better detection down to the ground for snowfall) related to the lack of strong attenuation?
- The statistical analysis in 3.2 could also provide a better explanation. In particular, line 247 notes that the “results clearly highlight”. It would be good to point out the particular results in detail, explaining the choice of the definition of DeltaZ and explaining the significance of the plots. This explanation would also help with understanding of the results in Section 3.3. What was the reason for using the SCR=5 dB height?
- Line 255 – in what sense is the WIVERN sampling improved? Is this related to the wide swath, which is, indeed, a nice feature?Minor edits:
- Line 27, the parentheses make reading the sentence difficult. Please consider revising.
- Consider removing paragraph breaks at lines 32, 45, 57, 117, 308.
- Figure 1, please add the angles used in Section 2.1.Citation: https://doi.org/10.5194/egusphere-2025-416-RC1 -
AC1: 'Reply on RC1', Marco Coppola, 07 May 2025
- There are a number of other WIVERN publications that are not cited. It would be good to confirm that all clutter-related papers are referenced and that this paper explains its novelty relative to those.
All the relevant papers to the clutter study have been cited all throughout the text. We add a sentence in the intro with reference to the paper by Manconi et al. 2025 and have changed the intro to make more clear the originality of the paper.
- Around line 50, the advantages of conically-scanned W-band radar are noted, but it might be reasonable to list some disadvantages, in particular the large attenuation that needs to be removed when viewing liquid precipitation.
A statement has been added to the paper. (“On the other hand the conical scan complicates the interpretation of the measurements, increases the attenuation due to the longer slant path and the impact of antenna side-lobes”).
- I think the equations developed in Section 2.1 need better motivation, especially the use of the Gaussian antenna. It appears that the WIVERN calculations use a calculated pattern. Is the Gaussian used for CloudSat and EarthCARE? Is (7) the clutter reflectivity being plotted in Figure 2?Gaussian antenna describes very well the behaviour of the main lobe even for WIVERN (compare black dotted and blue line in Fig.2). since all expressions are analytical we thought it was useful to report them. We introduce a new sentence to motivate our choice.
- Do the results in Figure 2 represent the total clutter, from all pulses that could arrive simultaneous with the atmospheric pulse, or only from the pulse illuminating the atmosphere? If only the latter, I would be concerned that the clutter estimate is not complete.We have neglected this effect. If we understand correctly the reviewer’s comment he is concerned for the next and following pulses potentially interacting with the main pulse. With the PRF envisaged for WIVERN (3kHz) and the geometry of WIVERN for the closest pulses to get the same range as the main pulse the angular displacement should be of the order of 4-5o compared to the boresight. Since the antenna gain at such angles is more than 40 dB lower than the gain at the boresight we expect this will not be a problem.
- Around line 125, it could be pointed out that even at the 14 m/s windspeed, the clutter appears small enough that it would be below the thermal noise for WIVERN.
Not sure we understand the reviewer’s comment. As shown in Fig.2 the clutter is not below WIVERN thermal noise. To be so the sigma0 need to drop roughly 60 dB compared to nadir (this may occur exceptionally at very low winds in the doldrums).
- Line 193, the text could mention the land/ocean contrast that can be seen in Figure 7.The text will be modified according to the comment.
- Line 206: The text points out a thicker clutter signal when flying over land. This is related to the total clutter level and its profile, as well as the color table being used for the image. It might be clearer to mention the level and the 3-dB width.The text will be modified according to the comment, both figures will be modified adding the level of the SCR=5dB in the land as well.
- Figure 8 compares the simulated WIVERN and CloudSat data. What are the vertical resolutions (not slant range) in the two cases?Both platform simulations have a vertical resolution of 140m.
- The smaller figure format used for the Labrador case might also work for the west coast case. The larger figures for that case are easier to read but also require a lot of moving around to see both text and figures, when reading.The figures will be adapted to the required format
- I think the text for the snowfall case could be expanded to give more explanation for what is seen. Is the main difference (better detection down to the ground for snowfall) related to the lack of strong attenuation?The text will be modified as follows to clear out the difference: Ice scattering properties in the W band ensure low attenuation, when only solid phase clouds are present, and thanks to the slant view over sea water the contribution given by the surface clutter is minimal.
- The statistical analysis in 3.2 could also provide a better explanation. In particular, line 247 notes that the “results clearly highlight”. It would be good to point out the particular results in detail, explaining the choice of the definition of DeltaZ and explaining the significance of the plots. This explanation would also help with understanding of the results in Section 3.3. What was the reason for using the SCR=5 dB height?The text will be modified according to the commentThe 5dB threshold has been selected on an arbitrary basis from a range of values for which the signal is not contaminated by surface clutter. It is important to note that, given that this is a comparative analysis, the specific threshold selected is inconsequential, provided that it is applied uniformly to both cases.
- Line 255 – in what sense is the WIVERN sampling improved? Is this related to the wide swath, which is, indeed, a nice feature?
WIVERN has improved sampling capabilities compared to nadir pointing radars due to its conically scanning radar that provide many more samplings and coverage.
Minor edits:
- Line 27, the parentheses make reading the sentence difficult. Please consider revising.The text will be adapted to the comment
- Consider removing paragraph breaks at lines 32, 45, 57, 117, 308.The text will be adapted to the comment
- Figure 1, please add the angles used in Section 2.1.The figure will be adapted to the comment
Citation: https://doi.org/10.5194/egusphere-2025-416-AC1
-
AC1: 'Reply on RC1', Marco Coppola, 07 May 2025
-
RC2: 'Comment on egusphere-2025-416', Anonymous Referee #2, 09 Apr 2025
The submitted manuscript focuses on detecting precipitation measurements using a conical scanning satellite radar. It is based on the WIVERN radar instrument, which has been developed over the past few years and could be further developed and launched in the next decade. The manuscript compares the conical scans to those of a nadir-directed radar.
The present manuscript addresses WIVERN's reduced ocean surface clutter and, therefore, the increase of precipitation detection compared to nadir-looking satellite missions. In the first part of the manuscript, the equations that underlie the simulations analysed later are introduced and listed. These equations are then applied to case studies of precipitation with clutter effects for CloudSat, EarthCARE, and WIVERN. The discussion provides a comprehensive overview of the advantages of WIVERN over nadir-view radars. This insight is exciting and enriches the existing literature.
Nevertheless, I still have some questions and comments about the submitted manuscript, which I will outline below.
- In general, one could emphasise in the introduction that this refers to reduced clutter over oceans rather than over land. For non-experts, this might give the impression that an increased detection of kidney strike is generally expected worldwide. However, that is not the case, is it?
- I suggest adding a flowchart or a sketch that illustrates all the angles and areas mentioned in the introduction of the formulas. Alternatively, could you add this information to Figure 1? In Equation 1, the incidence angle is yindicated, but in Figure, is S from Equation 1 the darker blue circle in Figure 1?
- Figure 2: Why is the black dotted line not in the legend?
- The text would generally benefit from more precise labelling of the figures. Particularly in the case study and statistical analysis section, many small and large plots are combined into a single figure. Numbering them with a), b), etc., would greatly enhance the text's readability. This approach allows figures to be recognised more quickly, helping the reader locate the correct figure faster.
- Section 3, line 141: Which lookup tables were used precisely? Are there any references? Likewise, for the calculation of the gas absorption (line 143)
- Section 3 includes numerous illustrations. To enhance information extraction from them, the text requires additional explanations or more detailed descriptions of the figures, making it easier for readers to understand and access the information the writer intends to convey. For non-experts, the statistical information is otherwise quite challenging to grasp. A suggestion could be to summarise the data and reduce the number of illustrations to help manage the overwhelming amount of information.
Citation: https://doi.org/10.5194/egusphere-2025-416-RC2 -
AC2: 'Reply on RC2', Marco Coppola, 07 May 2025
- In general, one could emphasise in the introduction that this refers to reduced clutter over oceans rather than over land. For non-experts, this might give the impression that an increased detection of kidney strike is generally expected worldwide. However, that is not the case, is it?
A sentence has been introduced at the beginning to clarify the distinction between ocean and land.
- I suggest adding a flowchart or a sketch that illustrates all the angles and areas mentioned in the introduction of the formulas. Alternatively, could you add this information to Figure 1? In Equation 1, the incidence angle is yindicated, but in Figure, is S from Equation 1 the darker blue circle in Figure 1?
The figure has been updated
- Figure 2: Why is the black dotted line not in the legend?
Its description is present in the caption. The curve has been introduced for showing how good is the Gaussian approximation. It is not in the legend to avoid cluttering too much the figure (the dotted curve is not the main message of the figure).
- The text would generally benefit from more precise labelling of the figures. Particularly in the case study and statistical analysis section, many small and large plots are combined into a single figure. Numbering them with a), b), etc., would greatly enhance the text's readability. This approach allows figures to be recognised more quickly, helping the reader locate the correct figure faster.
The text will be adapted to the comment
- Section 3, line 141: Which lookup tables were used precisely? Are there any references? Likewise, for the calculation of the gas absorption (line 143)
The lookup tables are computed using Mie and Rayleigh-Gans models for single particle scattering for each hydrometeor (details in Sect 2.22. in Battaglia, A., Martire, P., Caubet, E., Phalippou, L., Stesina, F., Kollias, P., and Illingworth, A.: Observation error analysis for the WInd VElocity Radar Nephoscope W-band Doppler conically scanning spaceborne radar via end-to-end simulations, Atmos. Meas. Tech., 15, 3011–3030, https://doi.org/10.5194/amt-15-3011-2022, 2022.). Variations of Temperature, mean mass weighted diameter and mu parameter have been accounted for in the lookup tables.
Section 3 includes numerous illustrations. To enhance information extraction from them, the text requires additional explanations or more detailed descriptions of the figures, making it easier for readers to understand and access the information the writer intends to convey. For non-experts, the statistical information is otherwise quite challenging to grasp. A suggestion could be to summarise the data and reduce the number of illustrations to help manage the overwhelming amount of information.
The text will be adapted to the comment
Citation: https://doi.org/10.5194/egusphere-2025-416-AC2
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