the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
| 18 Sep 2024
Exploring microwave penetration into snow on Antarctic summer sea ice along CryoSat-2 and ICESat-2 (CRYO2ICE) orbit from multi-frequency air- and spaceborne altimetry
Abstract. The recent alignment of CryoSat-2 to maximise orbital coincidence with the Ice, Cloud, and land Elevation Satellite-2 (ICESat-2) over the Southern Ocean and Antarctica in July 2022, known as the CryoSat-2 and ICESat-2 (CRYO2ICE), provided an opportunity to ground truth these satellites over the same land and sea ice. This was achieved through a simultaneous airborne campaign which under-flew the near-coincident CryoSat-2 and ICESat-2 orbits in December 2022 and carried, amongst other instrumentation, Ka-, Ku-, C/S-band radars and a scanning near-infrared lidar. This campaign resulted in the first multi-frequency radar evaluation of snow penetration over sea ice along near-coincident orbits. The airborne observations (at footprints of 5 m) revealed limited penetration of the snow pack at both Ka- and Ku-band, with the primary scattering occurring either at the air-snow interface or inside the snowpack for both frequencies. On average, the Ka- and Ku-band scattering interface was 0.2 to 0.3 m above that for C/S-band's primary scatter, where the average snow depth using C/S-band reached around 0.5 ± 0.05 m depending on re-trackers and combinations used. Interestingly, when the primary peak in the received signal occurs within the snowpack or at the air-snow interface, some scatter contributions are still present from the sea-ice interface at Ku-band. This suggests a potential for snow depth to be derived from Ku-band signals alone by co-identifying these respective peaks in the waveform. Furthermore, it contradicts the assumption of a single scattering interface primarily contributing to the backscatter at Ku-band on airborne scales. The CRYO2ICE snow depths achieved along the orbit were on average 0.34 m, which are within 0.01 m from passive-microwave-derived observations and 0.12 m from model-based estimates. Comparison with airborne snow depths at 25-km segments showed correlations of 0.51–0.53, a bias of 0.03 m and root-mean-square-deviation of 0.08 m when using the airborne lidar scanner as air–snow interface and C/S-band at maximum amplitude at snow–ice interface. To understand how comparisons across ground, air and space shall be conducted, especially in preparation for the upcoming dual-frequency radar altimeter mission Copernicus Polar Ice and Snow Topography Altimeter (CRISTAL), it is critical that we investigate the impact of different scattering mechanisms at varying frequencies, for diverging viewing geometries considering dissimilar spatial and range resolutions.
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RC1: 'Comment on egusphere-2024-2854', Anonymous Referee #1, 14 Oct 2024
Review of “Exploring microwave penetration into snow on Antarctic summer sea ice along CryoSat-2 and ICESat-2 (CRYO2ICE) orbit from multi-frequency air- and spaceborne altimetry” by Fredensborg Hansen et al.
The topic is very welcome and the MS deals with a very large and difficult dataset. No doubt a lot of work went into this.
The MS is well written and it contains a lot of references to relevant publications, to the extent that it reads more like a literature review than a research MS. The figures in the MS are illustrative, with a few minor comments (see specific comments). However, we get to page 21 before we start the results section and the MS is 42 pages without the references and appendices. The intro and the data sections need to be much more focused.
There are two objectives with the study stated at the end of the introduction: “With this study, we attempt to bridge several gaps: (a) evaluate microwave penetration into Antarctic snow cover at Ka- and Ku-band and the applicability of snow-radar, (b) compare airborne snow depth estimates derived based on traditional hypothesis of penetration with near-coincident spaceborne radar (CryoSat-2) and laser (ICESat-2).” These are really interesting questions to answer but I would suggest to split this MS into two separate submissions and focusing each of the 2 MS’s on each of the objectives (a) and (b).
There are no in situ measurements at the surface which makes any conclusion based on these datasets pretty vague and speculative. The discussion of the results has references to other peoples studies with possible explanations to the observed variations. For example, in section 5.3 which is about 1 page long, the only observation from own data is: L877: “…based on visual comparison along a subset (Fig. 7a), that the snow-radar is incapable of retrieving snow depth over ridges due to only one single peak being present.” That there are no snow and ice in situ data in CRYO2ICEANT22 (and so many CryoSat validation campaigns before that) is a waisted opportunity and something to think about for ESA (part of this study) for future campaigns.
Specific comments:
L120: Ku and Ka band is mentioned in the objectives, what about C/S-band?
L126 and onwards: I think that it would be useful in the data section (2) to structure some of the information on instrument frequencies and bandwidth, antenna size, flight altitude etc. in tables for example by moving TA1 up into the text. Actually, I think that TA1 contains the relevant technical data for the discussion.
Figure 3: Please order the frequencies from high to low or low to high, here it is Ku-, Ka-, C/S-band.
L420: While the spatial scales vary from airborne to spaceborne radar observations, so does the waveform and the ratio between specular and diffuse scattering. The antenna beam width (in TA1) is a function of frequency and this affects the waveform shape and the detecting individual scattering contribution from the snow surface and the snow ice interface. Please, include a discussion of that and how it displays in the waveform data. This is also relevant when discussing the satellite and airborne data overlap in section 3.4 and the re-trackers in section 4.1.
L429: “… assuming a cold and dry snowpack.” Even though the snow pack may be cold or at least “not melting”, then it is most likely not dry. Snow on first-year ice contains brine and that has a significant impact on the refractive index and the light propagation speed (and microwave absorption). This is not included in the equation from Ulaby and, in addition, the Ulaby equation can be quite different from other models for computing the refractive index of snow. Frequency also plays a role small role when the snow is brine wetted. This is most relevant at C/S-band which is penetrating to the snow-ice interface. A discussion of that would be relevant and please include the results from different models in figure 5.
Figure 7. What are ellipsoidal observations? The term is used in several places in the MS (e.g. fig. 4). Please define.
L927: “Based on these, it appears that Ka- and Ku-band both scattered from mid-way in the snow and upwards in the majority of times.” I think there is a confusion here between the track-point, which is derived with the re-tracker and the waveform and the actual scattering surfaces. These two things are not the same and here they are combined into a confusing statement that “…Ka- and Ku-band both scattered from mid-way in the snow…”. Please reformulate to make this clear.
Citation: https://doi.org/10.5194/egusphere-2024-2854-RC1 -
AC1: 'Reply on RC1', Renée Mie Fredensborg Hansen, 01 Nov 2024
Reviewer #1. Responses provided in bold text.
Review of “Exploring microwave penetration into snow on Antarctic summer sea ice along CryoSat-2 and ICESat-2 (CRYO2ICE) orbit from multi-frequency air- and spaceborne altimetry” by Fredensborg Hansen et al.
The topic is very welcome and the MS deals with a very large and difficult dataset. No doubt a lot of work went into this.
The MS is well written and it contains a lot of references to relevant publications, to the extent that it reads more like a literature review than a research MS. The figures in the MS are illustrative, with a few minor comments (see specific comments). However, we get to page 21 before we start the results section and the MS is 42 pages without the references and appendices. The intro and the data sections need to be much more focused.
There are two objectives with the study stated at the end of the introduction: “With this study, we attempt to bridge several gaps: (a) evaluate microwave penetration into Antarctic snow cover at Ka- and Ku-band and the applicability of snow-radar, (b) compare airborne snow depth estimates derived based on traditional hypothesis of penetration with near-coincident spaceborne radar (CryoSat-2) and laser (ICESat-2).” These are really interesting questions to answer but I would suggest to split this MS into two separate submissions and focusing each of the 2 MS’s on each of the objectives (a) and (b).
Response: We thank the reviewer for the positive comments and the feedback! Indeed, it is a long paper, and it was discussed in detail between the co-authors before submission whether it should be represented as two separate manuscripts or as one. We originally kept it as a single study, since much of the processing of the airborne observations was shaped by the original research question of comparing them with satellite data. Additionally, the processing choices of both airborne and satellite observations are interlinked. We are keen to keep it as one study, pending editor approval.
Should the editor decide that two separate papers would be more beneficial, we suggest separating the papers as “Part I” and “Part II” to be submitted to The Cryosphere. We believe it would be more beneficial to keep the papers somehow linked since the studies themselves are linked. We await editor - and reviewers - feedback regarding this. In this case, the current manuscript will be altered to fit Part I and primarily focus on the extensive airborne data.
Suggested, altered, titles to each part (including title suggestion from Reviewer #2, although slightly adapted for this purpose) could be:
- An intercomparison of multi-frequency altimetry over heterogeneous snow-covered Antarctic summer sea ice - Part I: Snow depth retrievals from airborne sensors for satellite altimetry validation
- An intercomparison of multi-frequency altimetry over heterogeneous snow-covered Antarctic summer sea ice - Part II: Comparison between airborne and near-coincident CryoSat-2 and ICESat-2 (CRYO2ICE) snow depths
In these separate, but linked, manuscripts, the introduction and data sections as well as the results, discussion and outlook sections, can be much more focused. Overall, we believe this approach is optimal for limiting the length in case a single manuscript is no longer an option, allowing each manuscript to be more focused while maintaining a cohesive thread through the processing, analysis, and objectives.
This is also based on Reviewer #2’s “Less Major Concern”, which also concerned the length of the manuscript. Here, they noted, that a dramatic edit would be to split the paper into one more focused on the processing of the data including most of the results, and another to be more of a literature review. While we believe “a literature review type paper on multi-frequency and multi-scale radar altimetry of snow-covered summer sea ice which would include all of Section 5 (Discussion and outlook) and other pertinent material” would be great and beneficial, especially in preparation for the CRISTAL mission. In addition, this also relates to the concern the Reviewer states regarding how the manuscript might be read as a literature review.
It was important for us to highlight the many different studies already conducted in this field - particularly how most of them have not ventured into the Ku- and Ka-band observations from airborne scales, but primarily focusing on snow radar observations in the Arctic. Additionally, due to the lack of in situ data necessary for understanding the physical properties that might impact our altimeter observations, we referenced the studies that have previously shown these challenges. However, we acknowledge that the manuscript could be more focused to reduce the length. Therefore, we hope that the suggestion of separating into two parts (since the studies are linked) meets the reviewers’ approval, in the case that a single (albeit more focused) manuscript is not an option.
There are no in situ measurements at the surface which makes any conclusion based on these datasets pretty vague and speculative. The discussion of the results has references to other peoples studies with possible explanations to the observed variations. For example, in section 5.3 which is about 1 page long, the only observation from own data is: L877: “…based on visual comparison along a subset (Fig. 7a), that the snow-radar is incapable of retrieving snow depth over ridges due to only one single peak being present.” That there are no snow and ice in situ data in CRYO2ICEANT22 (and so many CryoSat validation campaigns before that) is a waisted opportunity and something to think about for ESA (part of this study) for future campaigns.
Response: Indeed, having in situ data would have been ideal for a more precise evaluation of why the methods are incapable of retrieving the same magnitudes of snow depth, as they otherwise should (under the different assumptions). We will include more direct examples in-text (with reference to Figures) of where what has been observed in the previous studies may apply, and will (also based on the recommendation of Reviewer #2) include the importance of in situ observations for such campaigns. This will either be included as a separate sub-section (in case of the two-piece linked papers) or be integrated into the discussions sub-sections whenever relevant.
It is worth noting, however, that many airborne campaigns (including CryoVEx, Operation IceBridge and AWI IceBird campaigns) have been completed without in situ campaigns simply because of the challenges with respect to logistics, funding and making comparable collection strategies. Also, several in situ components have been planned and conducted for airborne campaigns. Some of these were successful in terms of collection of data, but it is always a challenge to collocate in time and space, whereas others were unable to be conducted in the field, usually due to restricting weather or sea ice conditions. There are almost always some challenges when comparing the in situ and airborne data and often we are challenged by the temperature being questioned, as in particular the airborne campaigns are restricted to take place in a very limited time-window due to the polar darkness and melt-season, but also resources to actually analyze and collocate the data is also limited. There are several campaigns where the data simply have not been fully utilized, which should have higher priority in the future. We still need to develop a strategy for the “perfect” or at least, ideal, set-up. Efforts have been initiated within e.g., the St3TART/St3TART-FO and CRISTAL IN-PROVA projects regarding evaluating such set-ups.
Furthermore, it is essential to recognize the value of airborne observations as critical data sources. They provide representations closely aligned with satellite observations, albeit with varying spatial and range resolutions. These observations offer insights that may not always be captured in field measurements due to limitations in field coverage and differences in resolution and spatial extent, together with the challenges in aligning such observations over drifting ice in the polar regions. Landings on the drifting sea ice are becoming more and more challenging with higher risks due to the thinning and more dynamic sea ice cover. Once this is said we emphasize that in situ measurements are crucial in order to better understand and validate airborne estimates. We further encourage collaboration and coordination of airborne and in situ components.
Specific comments:
L120: Ku and Ka band is mentioned in the objectives, what about C/S-band?
Response: It was already mentioned in the sentence “and the applicability of the snow-radar”, but will be further highlighted. Ka/Ku-band were primarily mentioned, since these sensors are directly relevant for CRISTAL (and what CRYO2ICE is partly emulating). In our study, C/S-band snow-radar is used as our “ground-truth” following assumptions made on Arctic sea ice. However, we also show that the ground-truth from the snow-radar for Antarctic summer sea ice is still very much work in progress.
The sentence now reads: “With this study, we attempt to bridge several gaps: (a) evaluate microwave penetration into Antarctic snow cover at Ka- and Ku-band and the applicability of C/S-band snow-radar, with comparison to lidar airborne observations (...)”.
L126 and onwards: I think that it would be useful in the data section (2) to structure some of the information on instrument frequencies and bandwidth, antenna size, flight altitude etc. in tables for example by moving TA1 up into the text. Actually, I think that TA1 contains the relevant technical data for the discussion.
Response: We thank the reviewer for the comment, and have included the TA1 in the data section. In case of a two-manuscript linked study (Part I and II), the table will be included in Part I.
Figure 3: Please order the frequencies from high to low or low to high, here it is Ku-, Ka-, C/S-band.
Response: We thank the reviewer for the comments, and note that this will be changed in the final version.
L420: While the spatial scales vary from airborne to spaceborne radar observations, so does the waveform and the ratio between specular and diffuse scattering. The antenna beam width (in TA1) is a function of frequency and this affects the waveform shape and the detecting individual scattering contribution from the snow surface and the snow ice interface. Please, include a discussion of that and how it displays in the waveform data. This is also relevant when discussing the satellite and airborne data overlap in section 3.4 and the re-trackers in section 4.1.
Response: Indeed, it does. We thank the reviewer for mentioning this important aspect! This is also highlighted in the study of de-Rijke Thomas et al. (2023), when discussing the impact of quasi-specular scattering, and what we aimed at discussing in detail in Section 5.2 “Viewing geometry and sampling differences between sensors at different spatial scales”. We will expand on these aspects in the relevant sections. We encourage the reviewer to note specific studies/work to be referenced for this discussion.
L429: “… assuming a cold and dry snowpack.” Even though the snow pack may be cold or at least “not melting”, then it is most likely not dry. Snow on first-year ice contains brine and that has a significant impact on the refractive index and the light propagation speed (and microwave absorption). This is not included in the equation from Ulaby and, in addition, the Ulaby equation can be quite different from other models for computing the refractive index of snow. Frequency also plays a role small role when the snow is brine wetted. This is most relevant at C/S-band which is penetrating to the snow-ice interface. A discussion of that would be relevant and please include the results from different models in figure 5.
Response: We thank the reviewer for the comment. Indeed, a wetted - or brine-wetted - snow pack impacts the microwave penetration capabilities, an aspect not neglected in the discussion in Section 5.1. Nonetheless, we understand the importance of further showing the impact that brine-wetted snow will have on multi-frequency observations. We will expand on this discussion, and if possible, include the different relevant models in Figure 5. However, this mostly makes sense in case of a split manuscript. Otherwise, the manuscript becomes even longer, and since there currently are no studies that use a different assumption than cold/dry snow packs for the snow depth retrieval of air/space-borne altimetry, this also ventures into a different study, outside the scope of this study, which is worthy of its own analysis and publication.
If possible, we do urge the reviewer to detail which models could be of interest to include in Figure 5. However, we also think it is important to note that this methodology - and specifically this equation of refractive index - is used in the majority of dual-frequency studies, and thus, for the sake of comparing across studies, use this as the primary refractive index equation. However, we will expand on the discussion related to brine-wetted and saline snowpacks even if the model with a refractive index reflecting a saline snowpack is not presented in Figure 5.
Figure 7. What are ellipsoidal observations? The term is used in several places in the MS (e.g. fig. 4). Please define.
Response: Thank you for this keen observations, we will define this at first mentioning, where it is defined as:
“Ellipsoidal heights are elevations relative to a reference ellipsoid in this case WGS-84. This is computed as the range obtained from re-trackers (Section 3.1) subtracted the altitude of the air- or space-craft.”
L927: “Based on these, it appears that Ka- and Ku-band both scattered from mid-way in the snow and upwards in the majority of times.” I think there is a confusion here between the track-point, which is derived with the re-tracker and the waveform and the actual scattering surfaces. These two things are not the same and here they are combined into a confusing statement that “…Ka- and Ku-band both scattered from mid-way in the snow…”. Please reformulate to make this clear.
Response: Thank you for the comment. We will re-formulate this paragraph for clarity, taking note of specifying what is meant by “scattering interfaces” and “tracking horizons”, and the assumptions linking them.
Citation: https://doi.org/10.5194/egusphere-2024-2854-AC1
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AC1: 'Reply on RC1', Renée Mie Fredensborg Hansen, 01 Nov 2024
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RC2: 'Comment on egusphere-2024-2854', Anonymous Referee #2, 21 Oct 2024
General comments
Exploring microwave penetration into snow on Antarctic summer sea ice along CryoSat-2 and ICESat-2 (CRYO2ICE) orbit from multi-frequency air- and spaceborne altimetry by Renée M. Fredensborg Hansen, Henriette Skourup, Eero Rinne, Arttu Jutila, Isobel R. Lawrence, Andrew Shepherd, Knut V. Høyland, Jilu Li, Fernando Rodriguez-Morales, Sebastian B. Simonsen, Jeremy Wilkinson, Gaelle Veyssiere, Donghui Yi, René Forsberg, and Taniâ G. D. Casal presents a multi-scale examination of microwave penetration into the snow cover on Antarctic sea ice considering different viewing geometries from airborne and satellite platforms; namely CRYO2ICE and an airborne Ka-, Ku- and C/S-band radar and complimentary NIR lidar at 904 nm, the latter of which flew as an under-flight to the near coincident IS2 and CS2 overpasses. The paper is very well written and organized, albeit quite lengthy which is no doubt attributable to the many different sensors used. The authors have done a remarkable job at processing the various datasets and integrating them together and for this they should be commended. From a remote sensing of sea ice perspective, it is truly a globally unique dataset and for this reason alone I recommend that the manuscript be published, primarily for the intercomparison aspect of datasets and 16 different combinations of retrieved surfaces alone, subject to addressing my major and minor concerns and comments.
Major Concern
Not surprisingly, my major concern centers of the lack of in-situ snow and sea ice physical property validation data to support the altimetric interpretations. As the manuscript alludes to, there are several salient environmental conditions that need to be considered when interpreting airborne and satellite multi-frequency microwave data of snow (which is likely to be complex in nature) covered seasonal sea ice. Fig’s 2a and b suggest that the Dec 13th 2m air temperatures (from ERA5) ranged between +1 and -3oC (mean ~ -2.5oC) at the time of CRYO2ICE overpasses and CRYO2ICCEANT22 airborne flight. I note that UTC times listed (L186-189) are 3 hours difference from Rothera meaning that the CRYO2ICE overpasses and CRYO2ICCEANT22 airborne flight occurred during the warmer part of the mid-afternoon. As such, we might infer surface air temperatures were on the warmer side of the +0.5 to -3oC range despite the known warm air temperature bias in ERA5 often reported in the literature (~2-3oC) e.g., https://doi.org/10.3390/rs13142813. Notwithstanding, it is likely safe to assume that the snow volume and snow-ice interface temperatures will be slightly warmer than the estimated surface air temperature (range), given the expected thin sea ice resulting from this warm Antarctica winter. I used data from https://www.timeanddate.com/weather/antarctica/rothera-research-station/historic?month=11&year=2022 from March 1 to Dec 13, including precip/snowfall data to crudely calculate sea ice thickness to be no greater than 80-100 cm (albeit at Rothera which I acknowledge is some distance away from your study site) using a simple 1-D thermodynamic model. For thicker snow cover regions in the northern two-thirds of your study region it is likely that sea ice thickness is no greater than 80 cm. Such warm snow temperatures are associated with elevated snow brine volumes owing to the brine wicking mechanism that you mention several times (Massom et al., 2001; Barber and Nghiem, 1999; Barber et al., 1995; Geldsetzer et al., 2009). Furthermore, there is no information on the expected mean ice thickness on Dec 13th for your study region. A crude calculation for locations with snow depths > 30 cm (assuming a bulk snow density of 300 kg/m3 (as you suggest on L449) and 80 cm thick sea ice would produce negative freeboards at many? most?? locations along the coincident CRYO2ICE/airborne line. As such, your thick snow-covered areas likely include significant brine wetted snow and/or flooded sea ice in the basal layer with or without snow-ice and your thin snow-covered sea ice likely has melt-freeze layers, including surface melt-freeze crusts, and likely enlarged snow grains in the basal layer and greater snow roughness interfaces (at the surface and within the volume). Therefore, my concern and likely that of yourself and co-authors, is that your evaluation of microwave penetration depth estimates are not all that meaningful when they cannot be assessed using any in situ snow physical property data and corresponding estimates of dielectrics, surface roughness, etc. … especially during relatively warm conditions, and particularly for thick snow producing sea ice which is not likely to be thick enough to continuously produce positive freeboards along the entire transect. L666-669 and L747 suggest as much. While your ALS swath and optical images allow you to ‘geophysically’ associate what the altimetry is sensing (i.e., leads versus floes including ridges), you have no information on the thermodynamic, snow structure, and dielectric states. As a result, I feel like nearly half of these 16 different combinations of retrieved surfaces is just as likely to represent the truth as any other. In other words, which of Fig 10a (or Fig 11a) is closer to the truth? As such, the analysis presented in this manuscript is likely better reflected in a title change (by removing the notion that you are able to ‘explore’ microwave penetration depth) to one which emphasizes the intercomparisons of CRYO2ICE and CRYO2ICCEANT22 airborne altimetry data on an unknown but likely heterogenous and complex surface with unknown thermophysical snow structure. My suggestion would be ‘An intercomparison of CryoSat-2 and ICESat-2 (CRYO2ICE) and airborne multi-frequency altimetry over heterogeneous snow-covered summer sea ice without surface validation data‘.
Less Major Concern
The length of the manuscript is somewhat of an issue. In order for comparison of the airborne sensors with the CRYO2ICE data, no less than seven instruments and their individual processing chains dealing with calibration, pre- and post-processing, including inter-calibration of sensors between floes and leads, etc. As you say on L552, 16 different combinations of retrieved surfaces are presented in this paper, and it is challenging to trace all the different considerations. A somewhat dramatic suggestion would be to split the paper into two manuscripts. One focused on the more technical aspects of the processing of the 16 different combinations of retrieved surfaces and much of the Results sections (to a Remote Sensing journal) and the other as a literature review type paper on multi-frequency and multi-scale radar altimetry of snow-covered summer sea ice which would include all of Section 5 (Discussion and outlook) and other pertinent material.
Detailed minor comments
Line 35 – multiplex? … did you mean to say ‘complex’?
Line 48 – I feel you are missing a key ref here wrt to microwave propagation speed in snow on sea ice (Mallett et al., 2020 TC) which has been cited 47 times at last count.
Line 71 – ‘… Rösel et al., 2021), on Ku-band radars combined … ‘ I think it should be ‘or’.
Line 115-116 – This sentence reads awkwardly. Please revise.
Line 169-170 – While 904 nm waves can generally be assumed to reflect from surfaces, they are likely to penetrate several cm under optimal cold, low density surface snow (Deems et al., 2013 S1.4). Most certainly a 532 nm laser reflects almost entirely at the a-s interface but that’s not the case here. I think a sentence is warranted to indicate that under such conditions, 904 nm waves are likely to penetrate and/or attenuate and/or scatter within the first few centimeters, unless you know definitively otherwise that none of your surface along the C2I and airborne flight lines did not have this condition (which I suspect is > 95% of the time for this study). I realize that in the grand scheme of things 1 or 2 cm is not going to significantly influence your results here.
Line 265 – …” This, in turn, leads to reduced emissivity at higher frequencies, …”
Section 3.1.2 and Figure 3 (C/S-band plot). So, after reading all of the detail in 3.1.2 on multiple scattering horizons, as it relates to Figure 3 C/S-band example waveform plot, I am still confused as to why the C/S CWT a-s interface is detected ~ 12 cm higher up than the a-s interface from the ALS (Fig 3 – right panel)? I do note that in Fig 3 caption Deltaz,C/S is potentially offset by 2 of these 12 cm. Is it because Jutila et al., 2002b developed PEAK on Arctic snow or it just an artifact (interpolation) of the C/S band processing? I suspect I just shouldn’t be that concerned about it given the quite large calibration offsets needed (3.2.2). Perhaps the example waveform shown in Fig 3 consists of leads and/or open water thus your explanation L386-390 is useful. Furthermore, the large ‘grey shading’ of local waveforms to the example waveform shown here (Figure 3) suggests vastly different snow conditions and surface/volume scattering mechanisms over short distances further supporting my Major Concern comment of highly variable and/or complex snow, which can’t be commented on due to the lack of in-situ data.
L486-488 – Its worth reiterating again here that you are most certainly not dealing with a cold and dry snowpack (re: Major Concern). Data from your ERA5 air temperature map (Figure 2) and the Rothera station data https://www.timeanddate.com/weather/antarctica/rothera-research-station/historic?month=11&year=2022 suggest considerable diurnal snow temperature cycling in your study area during the latter half of November which has likely produced a complexly layered snow pack with multiple melt/freeze layers, including large poly-aggregate snow grains, which when brine coated from brine wicking, serve as significant scattering centers for Ku-band waves.
L616 – I might suggest you use (or at least add) the word ‘differences’ instead of ‘variations’.
L634 – on_space(
L710 – I suggest using ‘best’ instead of ‘greatest’
L730 – I would prefer that the sentence be adjusted to state what the ‘brine wicking’ process does, that is, leads to saline snow in the basal layer. Suggestion would be …” brine wicking leading to saline snow, and/or flooding due to …”
L728 – “… appear not to hold true …’
L735-738– while liquid water may in fact be present in the snow along the joint CRYO2ICE overpasses and CRYO2ICCEANT22 airborne flight lines during the diurnal maximum on Dec 13th, the likely more important factor (related to Major Concern above) is the appreciable brine volume and/or flooded snow-ice interface from negative freeboards. To conclude on the air temperature of ~ -5oC (L736) is not sufficient. You need to translate what this air temperature forcing would produce in terms of snow volume and snow-ice interface temperature given the expected ice thickness and assuming the densities of snow, sea ice, and ocean water. It will/would be quite interesting to see what the surface temperature might have been like from the thermal instrument (not yet completely processed or included in this paper).
L749-752 – I am surprised that the authors have chosen to reference a multi-frequency snow wetness study over land (Marshall et al., 2004) when there are several multi-frequency microwave snow on sea ice papers available that discuss microwave penetration issues into saline snow when snow temperatures are warm enough to contain appreciable amounts of brine in the basal layer and nearly warm enough to possess small quantities of liquid water in the snow (e.g., Willatt et al., 2010; 2011 and https://doi.org/10.1016/j.rse.2017.06.029).
L774 ‘…. occurs …’
L943-944 – I’m surprised that the authors don’t recommend that such investigations (and science planning efforts) make surface validation data a priority. I get that it would have been nearly impossible and/or costs hundreds of thousands of $ to acquire even a handful of surface validation points but its important to emphasize this point for funding agencies when such good analytical work, like is the case for this paper, is completed.
Citation: https://doi.org/10.5194/egusphere-2024-2854-RC2 -
AC2: 'Reply on RC2', Renée Mie Fredensborg Hansen, 01 Nov 2024
Reviewer #2. Responses provided in bold text.
General comments
Exploring microwave penetration into snow on Antarctic summer sea ice along CryoSat-2 and ICESat-2 (CRYO2ICE) orbit from multi-frequency air- and spaceborne altimetry by Renée M. Fredensborg Hansen, Henriette Skourup, Eero Rinne, Arttu Jutila, Isobel R. Lawrence, Andrew Shepherd, Knut V. Høyland, Jilu Li, Fernando Rodriguez-Morales, Sebastian B. Simonsen, Jeremy Wilkinson, Gaelle Veyssiere, Donghui Yi, René Forsberg, and Taniâ G. D. Casal presents a multi-scale examination of microwave penetration into the snow cover on Antarctic sea ice considering different viewing geometries from airborne and satellite platforms; namely CRYO2ICE and an airborne Ka-, Ku- and C/S-band radar and complimentary NIR lidar at 904 nm, the latter of which flew as an under-flight to the near coincident IS2 and CS2 overpasses. The paper is very well written and organized, albeit quite lengthy which is no doubt attributable to the many different sensors used. The authors have done a remarkable job at processing the various datasets and integrating them together and for this they should be commended. From a remote sensing of sea ice perspective, it is truly a globally unique dataset and for this reason alone I recommend that the manuscript be published, primarily for the intercomparison aspect of datasets and 16 different combinations of retrieved surfaces alone, subject to addressing my major and minor concerns and comments.
Response: We thank the reviewer for the positive feedback!
Major Concern
Not surprisingly, my major concern centers of the lack of in-situ snow and sea ice physical property validation data to support the altimetric interpretations. As the manuscript alludes to, there are several salient environmental conditions that need to be considered when interpreting airborne and satellite multi-frequency microwave data of snow (which is likely to be complex in nature) covered seasonal sea ice. Fig’s 2a and b suggest that the Dec 13th 2m air temperatures (from ERA5) ranged between +1 and -3oC (mean ~ -2.5oC) at the time of CRYO2ICE overpasses and CRYO2ICCEANT22 airborne flight. I note that UTC times listed (L186-189) are 3 hours difference from Rothera meaning that the CRYO2ICE overpasses and CRYO2ICCEANT22 airborne flight occurred during the warmer part of the mid-afternoon. As such, we might infer surface air temperatures were on the warmer side of the +0.5 to -3oC range despite the known warm air temperature bias in ERA5 often reported in the literature (~2-3oC) e.g., https://doi.org/10.3390/rs13142813. Notwithstanding, it is likely safe to assume that the snow volume and snow-ice interface temperatures will be slightly warmer than the estimated surface air temperature (range), given the expected thin sea ice resulting from this warm Antarctica winter. I used data from https://www.timeanddate.com/weather/antarctica/rothera-research-station/historic?month=11&year=2022 from March 1 to Dec 13, including precip/snowfall data to crudely calculate sea ice thickness to be no greater than 80-100 cm (albeit at Rothera which I acknowledge is some distance away from your study site) using a simple 1-D thermodynamic model. For thicker snow cover regions in the northern two-thirds of your study region it is likely that sea ice thickness is no greater than 80 cm. Such warm snow temperatures are associated with elevated snow brine volumes owing to the brine wicking mechanism that you mention several times (Massom et al., 2001; Barber and Nghiem, 1999; Barber et al., 1995; Geldsetzer et al., 2009). Furthermore, there is no information on the expected mean ice thickness on Dec 13th for your study region. A crude calculation for locations with snow depths > 30 cm (assuming a bulk snow density of 300 kg/m3 (as you suggest on L449) and 80 cm thick sea ice would produce negative freeboards at many? most?? locations along the coincident CRYO2ICE/airborne line. As such, your thick snow-covered areas likely include significant brine wetted snow and/or flooded sea ice in the basal layer with or without snow-ice and your thin snow-covered sea ice likely has melt-freeze layers, including surface melt-freeze crusts, and likely enlarged snow grains in the basal layer and greater snow roughness interfaces (at the surface and within the volume).
Response: We thank the reviewer for the in-depth comment and for the initiation of this important discussion regarding flooded and/or brine-wetted snow, and the impact it has on our altimetric studies.
Indeed, there is a significant possibility of negative freeboards along the entire transect, affecting penetration at different frequencies due to various aspects as you mention including enlarged grain sizes, wetness, crusts, layers, snow-ice formation, and flooded layers, which has been brought up several times in the paper already, and which is not news when it comes to Antarctic sea ice. This is also evident in Figure 7a (S/C-band subplot), where the tracked snow-ice interfaces are either very close to or even below surrounding leads. However, it appears we were not sufficiently clear about the various aspects that could limit the penetration. We will elaborate more on these effects on radar penetration in the discussion Section 5.1.
However, we prefer not to speculate too much on the ice thickness in the region, which is why it was not mentioned in detail in the paper. Additionally, calculating an estimate using a thermodynamic model and surface air temperatures from Rothera would likely be inaccurate, as these air temperatures do not reliably represent the surface air temperatures over the sea ice in our study region (see also Figure 2). Ideally, the thermal instrument onboard the aircraft could provide some insights, however these data are still being processed.
Therefore, my concern and likely that of yourself and co-authors, is that your evaluation of microwave penetration depth estimates are not all that meaningful when they cannot be assessed using any in situ snow physical property data and corresponding estimates of dielectrics, surface roughness, etc. … especially during relatively warm conditions, and particularly for thick snow producing sea ice which is not likely to be thick enough to continuously produce positive freeboards along the entire transect. L666-669 and L747 suggest as much. While your ALS swath and optical images allow you to ‘geophysically’ associate what the altimetry is sensing (i.e., leads versus floes including ridges), you have no information on the thermodynamic, snow structure, and dielectric states. As a result, I feel like nearly half of these 16 different combinations of retrieved surfaces is just as likely to represent the truth as any other. In other words, which of Fig 10a (or Fig 11a) is closer to the truth?
Response: Yes, we agree that it is difficult to say exactly what is going on and what “combination” is the truth, since we do not know the physical properties of the snow with the lack of in situ data. But, as you state in the end of the this paragraph, nearly half of these combinations would likely represent the truth as any other which leads into a discussion of what is the true snow depth retrievable when using altimetry due to the impact that the dielectric properties of the snow might have, that can limit penetration and alter scattering surfaces? And, one of the main questions of this study concerns “to what extent can we extract the same snow depth - under these study site conditions - using the various combinations relevant for the future dual-freq missions and airborne campaigns”.
Now, as we state, the plan is to use the snow radar as the ground-truth, as this is what has been done in multiple satellite studies, however what we also show is that the airborne combinations and re-trackers can provide vastly different results. Hence, more work is required to ensure consistency between methods and instruments. One way to ensure that we then track what we think we are tracking, is of course to have in situ data provided these are collected in a way that correlates with what is observed by the airborne sensors and the satellite sensors.
As such, the analysis presented in this manuscript is likely better reflected in a title change (by removing the notion that you are able to ‘explore’ microwave penetration depth) to one which emphasizes the intercomparisons of CRYO2ICE and CRYO2ICCEANT22 airborne altimetry data on an unknown but likely heterogenous and complex surface with unknown thermophysical snow structure. My suggestion would be ‘An intercomparison of CryoSat-2 and ICESat-2 (CRYO2ICE) and airborne multi-frequency altimetry over heterogeneous snow-covered summer sea ice without surface validation data‘.
Response: We thank the reviewer for the detailed comment, and agree that all the aspects mentioned indeed means that we cannot - with certainty - say which combination is “true”, hence also the wording “Explore” used in the title. However, we are happy to include the aspects mentioned by the Reviewer and adapt the title accordingly. We have changed the title slightly from the suggested to be:
“An intercomparison of CryoSat-2 and ICESat-2 (CRYO2ICE) and airborne multi-frequency altimetry over heterogeneous snow-covered Antarctic summer sea ice”
We have however opted to not include the “without surface validation data” since it is reflected in the title already, that airborne and satellite data will be used. Also, it is criticalto not take away from the importance of having these airborne observations themselves even without in situ data, which we feel the negative phrasing of “without surface validation data” alludes to.
We also note that this suggested title could be altered to highlight the “Part I” and “Part II” suggested as an alternative solution to deal with the otherwise lengthy manuscript, as noted in the response to Reviewer #1.
Less Major Concern
The length of the manuscript is somewhat of an issue. In order for comparison of the airborne sensors with the CRYO2ICE data, no less than seven instruments and their individual processing chains dealing with calibration, pre- and post-processing, including inter-calibration of sensors between floes and leads, etc. As you say on L552, 16 different combinations of retrieved surfaces are presented in this paper, and it is challenging to trace all the different considerations. A somewhat dramatic suggestion would be to split the paper into two manuscripts. One focused on the more technical aspects of the processing of the 16 different combinations of retrieved surfaces and much of the Results sections (to a Remote Sensing journal) and the other as a literature review type paper on multi-frequency and multi-scale radar altimetry of snow-covered summer sea ice which would include all of Section 5 (Discussion and outlook) and other pertinent material.
Response: We thank the reviewer for the comment. While we are keen to keep the manuscript combined, we acknowledge that it is lengthy. We have suggested to focus the manuscript more, however most of the information included is pertinent to understanding the data and the processing steps (as also noted by the Reviewer). Another solution has been suggested, in response to Reviewer #1, which is to separate the manuscript into two parts, but still keeping them linked. We await reviewers and editor comments regarding this.
Detailed minor comments
Line 35 – multiplex? … did you mean to say ‘complex’?
Response: We thank the reviewer for the comment. Indeed, complex was the intended word.
Line 48 – I feel you are missing a key ref here wrt to microwave propagation speed in snow on sea ice (Mallett et al., 2020 TC) which has been cited 47 times at last count.
Response: Indeed, an oversight on our part. Has now been included as reference in the following:
“Based on these experiments, Ku-band signals is often assumed to penetrate the snow cover, providing radar freeboards which are directly converted to sea ice freeboard after accounting for the slower wave propagation speed (e.g., Hendricks, 2022; Rinne and Hendricks, 2023; Mallett et al., 2020)”.Line 71 – ‘… Rösel et al., 2021), on Ku-band radars combined … ‘ I think it should be ‘or’.
Response: We thank the reviewer for the comment. However, we do not agree, since this question is noting three “types” of analyses or comparisons made. To clarify this, we have changed the sentence to:
“Most airborne studies have so far focused on (a) the Arctic snow depth using snow-radars or combinations of snow-radar and lidar (e.g., Kurtz and Farrell, 2011; Newman et al., 2014; Rösel et al., 2021); (b) Ku-band radars combined with either ground-based reference observations or airborne lidars(e.g., Willatt et al., 2011; De Rijke-Thomas et al., 2023; King et al., 2018); or, (c) deriving snow depth from snow-radar, Ka- and/or Ku-band for the purpose of validating satellite observations (e.g., Garnier et al., 2021; Armitage and Ridout, 2015).”
Line 115-116 – This sentence reads awkwardly. Please revise.
Response: We thank the reviewer for the comment. The sentence initially read:
“Currently, methods for this snow-radar have been developed and tested for the Arctic (Jutila et al., 2022b) and one Antarctic campaign with a sea-ice component has been conducted.”
It now reads:
“Currently, a method to derive snow depth from this particular snow-radar has been developed, however only tested for the Arctic (Jutila et al., 2022b). One Antarctic campaign with a sea-ice component has been conducted, but further analysis of the applicability of the methodology is pending.”
Line 169-170 – While 904 nm waves can generally be assumed to reflect from surfaces, they are likely to penetrate several cm under optimal cold, low density surface snow (Deems et al., 2013 S1.4). Most certainly a 532 nm laser reflects almost entirely at the a-s interface but that’s not the case here. I think a sentence is warranted to indicate that under such conditions, 904 nm waves are likely to penetrate and/or attenuate and/or scatter within the first few centimeters, unless you know definitively otherwise that none of your surface along the C2I and airborne flight lines did not have this condition (which I suspect is > 95% of the time for this study). I realize that in the grand scheme of things 1 or 2 cm is not going to significantly influence your results here.
Response: We thank the reviewer for the comment. Indeed, some centimeter-level penetration can occur, and we will include a sentence to indicate this. However, as you pointed out, we do not assume that this will be the most impactful effect in the broader context.
Line 265 – …” This, in turn, leads to reduced emissivity at higher frequencies, …”
Response: Agreed, has been edited accordingly.
Section 3.1.2 and Figure 3 (C/S-band plot). So, after reading all of the detail in 3.1.2 on multiple scattering horizons, as it relates to Figure 3 C/S-band example waveform plot, I am still confused as to why the C/S CWT a-s interface is detected ~ 12 cm higher up than the a-s interface from the ALS (Fig 3 – right panel)? I do note that in Fig 3 caption Deltaz,C/S is potentially offset by 2 of these 12 cm. Is it because Jutila et al., 2002b developed PEAK on Arctic snow or it just an artifact (interpolation) of the C/S band processing? I suspect I just shouldn’t be that concerned about it given the quite large calibration offsets needed (3.2.2). Perhaps the example waveform shown in Fig 3 consists of leads and/or open water thus your explanation L386-390 is useful. Furthermore, the large ‘grey shading’ of local waveforms to the example waveform shown here (Figure 3) suggests vastly different snow conditions and surface/volume scattering mechanisms over short distances further supporting my Major Concern comment of highly variable and/or complex snow, which can’t be commented on due to the lack of in-situ data.
Response: Indeed, a potential small offset by the lever arms is present (of those 2 cm as noted by the Reviewer), but the reason that the air-snow interface is tracked that much higher in CWT compared to PEAK relates to how they define the air-snow interface to be tracked.
PEAK re-tracks the air-snow interface once it is above the user-defined power threshold for noise, and the left-hand peakiness threshold (in a logarithmic scale). That means that PEAK re-tracks the air-snow interface on the leading edge of the maximum value whenever the thresholds are met. However, the snow-ice interface on PEAK can be on either the leading edge or any subsequent peaks provided they fulfill the threshold requirements. In contrast, CWT uses the first range bin where the power exceeds a noise threshold, which is essentially when the radar beam starts to illuminate the snowpack (which could include e.g., snow drifts, sastrugi etc.). Thus, PEAK is more strict in selecting on which part of the leading edge the air-snow interface should occur assuming that it has to be of a significant magnitude to represent scattering from an interface, where there is potential for CWT to re-track lower power spikes or power in general on the waveform as its air-snow interface. Furthermore, CWT always picks the snow-ice interface on the leading edge. All of these differences in “interface” tracking can be seen on Figure 3 (C/S-band), where PEAK tracks primarily on the leading edge of a significant peak, whereas CWT re-tracks primarily once the waveform exceeds some “thermal noise” or where it has some power, which is visible. ALS is the average surface value within a 5 m circular footprint at the radar observation locations, and as noted, could have some minor penetration which is however within uncertainties of the radars and their range resolution.
It is important to note, that the specific example waveform shown in Figure 3 is not of leads (you can see in Figure 7b, that the example waveform is from a relatively large floe, and from Figure 6 you can deduce the scale of what is included in the waveform of airborne scales).
However, yes, the shading shows the heterogeneity of the snow and ice conditions along a subset. Here, it is only +/- 5 nearest waveforms (which essentially covers, approximately, 50 m of distance).
L486-488 – Its worth reiterating again here that you are most certainly not dealing with a cold and dry snowpack (re: Major Concern). Data from your ERA5 air temperature map (Figure 2) and the Rothera station data https://www.timeanddate.com/weather/antarctica/rothera-research-station/historic?month=11&year=2022 suggest considerable diurnal snow temperature cycling in your study area during the latter half of November which has likely produced a complexly layered snow pack with multiple melt/freeze layers, including large poly-aggregate snow grains, which when brine coated from brine wicking, serve as significant scattering centers for Ku-band waves.
Response: Indeed, we will reiterate this, and link to Section 5.1 where this is further discussed.
L616 – I might suggest you use (or at least add) the word ‘differences’ instead of ‘variations’.
Response: We thank the reviewer for the comment, and have changed the word “variations” to “differences.
L634 – on_space(
Response: Thank you, adapted accordingly.
L710 – I suggest using ‘best’ instead of ‘greatest’
Response: Thank you, adapted accordingly.
L730 – I would prefer that the sentence be adjusted to state what the ‘brine wicking’ process does, that is, leads to saline snow in the basal layer. Suggestion would be …” brine wicking leading to saline snow, and/or flooding due to …”
Response: We agree, this has been adapted accordingly.
L728 – “… appear not to hold true …’
Response: Thank you, adapted accordingly.
L735-738– while liquid water may in fact be present in the snow along the joint CRYO2ICE overpasses and CRYO2ICCEANT22 airborne flight lines during the diurnal maximum on Dec 13th, the likely more important factor (related to Major Concern above) is the appreciable brine volume and/or flooded snow-ice interface from negative freeboards. To conclude on the air temperature of ~ -5oC (L736) is not sufficient. You need to translate what this air temperature forcing would produce in terms of snow volume and snow-ice interface temperature given the expected ice thickness and assuming the densities of snow, sea ice, and ocean water. It will/would be quite interesting to see what the surface temperature might have been like from the thermal instrument (not yet completely processed or included in this paper).
Response: Indeed, it would have been interesting to see that the surface temperature would have been. While we are not keen on providing exact estimates of expected thickness when we see such discrepancies in derived snow depths from these different combinations, we will expand on the discussion that relatively warm temperatures will have on the dielectric and physical properties of the snowpack. Provided the thermal data has been processed, this could be included to support the discussion.
L749-752 – I am surprised that the authors have chosen to reference a multi-frequency snow wetness study over land (Marshall et al., 2004) when there are several multi-frequency microwave snow on sea ice papers available that discuss microwave penetration issues into saline snow when snow temperatures are warm enough to contain appreciable amounts of brine in the basal layer and nearly warm enough to possess small quantities of liquid water in the snow (e.g., Willatt et al., 2010; 2011 and https://doi.org/10.1016/j.rse.2017.06.029).
Response: We thank the reviewer for the comment. This aspect was mainly included to discuss to what extent C-band can have dominant scattering at the snow-ice interface even with a relatively wet snowpack - a focus that Willatt et al. 2010, 2011 primarily address for Ku-band. Nandan et al. (2017, J.RSE - linked by Reviewer) evaluates both Ku-, X-, and C-band, however, only for scatterometers. We will include Nandan et al. (2017) as reference if relevant once we have read it in detail. We do note that we have already included several other altimeter studies over sea at different frequencies discussing partial penetration (including Willatt et al 2010, 2011) and the various factors contributing to it. However, as noted before, we will expand on the discussion of brine-wetted snow and include the relevant sea ice altimeter studies.
L774 ‘…. occurs …’
Response: Thank you, adapted accordingly.
L943-944 – I’m surprised that the authors don’t recommend that such investigations (and science planning efforts) make surface validation data a priority. I get that it would have been nearly impossible and/or costs hundreds of thousands of $ to acquire even a handful of surface validation points but its important to emphasize this point for funding agencies when such good analytical work, like is the case for this paper, is completed.
Response: We thank the reviewer for the comment, which Reviewer #1 also noted. We will make sure to note such investigations and efforts as priority, however, there is still work needed to understand how such observations should be completed to simulate what is observed by air- and spaceborne platforms. Simply doing transects may not be sufficient. That alone has been discussed when comparing freeboards from air- and spaceborne systems in e.g., the CryoVal-SI project. We will include this aspect in the discussion section and urge for continuation of such science planning efforts.
Citation: https://doi.org/10.5194/egusphere-2024-2854-AC2
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AC2: 'Reply on RC2', Renée Mie Fredensborg Hansen, 01 Nov 2024
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AC3: 'Combined responses to both reviewers and overview of most important edits based on reviewer comments', Renée Mie Fredensborg Hansen, 01 Nov 2024
Author comments
We thank the reviewers for the constructive feedback and positive comments. We have provided our response below, in bold text prefixed by “Response: (...)”. Please also find a short summary of proposed edits (of major edits), along with minor expected edits to be made for the final version - pending editor/reviewer approval.
- While we believe that the manuscript benefits from being one manuscript due to the choices made for different analyses and processing are interleaved, we agree with the reviewers that it is a longer paper. If the editor and reviewers all agree that separation into smaller manuscripts is required, we have given the following suggestion:
- Instead of submitting completely separate papers, since the studies are linked, we have suggested separating the manuscript into “Part I and Part II” pending editor/reviewer approval. If editor/reviewers agree, we suggest reorganizing the current manuscript as Part I and will submit a new manuscript, linked to this one, as Part II. Here, the objectives will be split, so Part I will focus on the extensive airborne processing, and Part II on the collocation and comparison with satellite observations.
- However, any other major or minor comments directly related to text or figures in the paper are addressed before any separation into such manuscripts. This might also help decide whether such separation is necessary.
- Both reviewers have noted that a lack of in situ data limits the evaluation of how well these combinations compare with actual conditions . Indeed, we have tried several combinations to mimic what could represent “truth” and compare these with satellite data, where it is still clear that there is work to be done. To ensure that this is clear, we have (based on suggestions) edited the title of the paper, see proposed titles in the response to Reviewer #1 and Reviewer #2 (depending on whether the manuscript is split into two parts, or kept as one). In addition, based on reviewer recommendation, we will also ensure that the manuscript calls for future in situ data validation in combination with the airborne data, since it is also clear from this study, that the snow radar (which is usually used as ground-truth) still shows discrepancies and that additional insights would help understand the limitations of the frequencies currently in play.
- Sub-section 5.1 (in case the manuscript is kept as one manuscript) will be expanded to include a more in-depth description of the impact of flooded or brine-wetted snow in relation to negative freeboards and the snow loading over thinner ice.
- Sub-section 5.2 (in case the manuscript is kept as one manuscript) will be expanded to include a description of the impact of differences in scattering ratios (specular/diffuse) when working with air- and spaceborne data.
- Figure 3a; here we will change the order of subplots to follow the range of frequencies. Same goes for Figure 7a.
- Figure 5 might be updated, pending the exploration of relevant models for the refraction index in snow, to show the impact of e.g., brine-wetting. We have asked the reviewer to specify the particular model(s) they have in mind.
Reviewer #1
Review of “Exploring microwave penetration into snow on Antarctic summer sea ice along CryoSat-2 and ICESat-2 (CRYO2ICE) orbit from multi-frequency air- and spaceborne altimetry” by Fredensborg Hansen et al.
The topic is very welcome and the MS deals with a very large and difficult dataset. No doubt a lot of work went into this.
The MS is well written and it contains a lot of references to relevant publications, to the extent that it reads more like a literature review than a research MS. The figures in the MS are illustrative, with a few minor comments (see specific comments). However, we get to page 21 before we start the results section and the MS is 42 pages without the references and appendices. The intro and the data sections need to be much more focused.
There are two objectives with the study stated at the end of the introduction: “With this study, we attempt to bridge several gaps: (a) evaluate microwave penetration into Antarctic snow cover at Ka- and Ku-band and the applicability of snow-radar, (b) compare airborne snow depth estimates derived based on traditional hypothesis of penetration with near-coincident spaceborne radar (CryoSat-2) and laser (ICESat-2).” These are really interesting questions to answer but I would suggest to split this MS into two separate submissions and focusing each of the 2 MS’s on each of the objectives (a) and (b).
Response: We thank the reviewer for the positive comments and the feedback! Indeed, it is a long paper, and it was discussed in detail between the co-authors before submission whether it should be represented as two separate manuscripts or as one. We originally kept it as a single study, since much of the processing of the airborne observations was shaped by the original research question of comparing them with satellite data. Additionally, the processing choices of both airborne and satellite observations are interlinked. We are keen to keep it as one study, pending editor approval.
Should the editor decide that two separate papers would be more beneficial, we suggest separating the papers as “Part I” and “Part II” to be submitted to The Cryosphere. We believe it would be more beneficial to keep the papers somehow linked since the studies themselves are linked. We await editor - and reviewers - feedback regarding this. In this case, the current manuscript will be altered to fit Part I and primarily focus on the extensive airborne data.
Suggested, altered, titles to each part (including title suggestion from Reviewer #2, although slightly adapted for this purpose) could be:
- An intercomparison of multi-frequency altimetry over heterogeneous snow-covered Antarctic summer sea ice - Part I: Snow depth retrievals from airborne sensors for satellite altimetry validation
- An intercomparison of multi-frequency altimetry over heterogeneous snow-covered Antarctic summer sea ice - Part II: Comparison between airborne and near-coincident CryoSat-2 and ICESat-2 (CRYO2ICE) snow depths
In these separate, but linked, manuscripts, the introduction and data sections as well as the results, discussion and outlook sections, can be much more focused. Overall, we believe this approach is optimal for limiting the length in case a single manuscript is no longer an option, allowing each manuscript to be more focused while maintaining a cohesive thread through the processing, analysis, and objectives.
This is also based on Reviewer #2’s “Less Major Concern”, which also concerned the length of the manuscript. Here, they noted, that a dramatic edit would be to split the paper into one more focused on the processing of the data including most of the results, and another to be more of a literature review. While we believe “a literature review type paper on multi-frequency and multi-scale radar altimetry of snow-covered summer sea ice which would include all of Section 5 (Discussion and outlook) and other pertinent material” would be great and beneficial, especially in preparation for the CRISTAL mission. In addition, this also relates to the concern the Reviewer states regarding how the manuscript might be read as a literature review.
It was important for us to highlight the many different studies already conducted in this field - particularly how most of them have not ventured into the Ku- and Ka-band observations from airborne scales, but primarily focusing on snow radar observations in the Arctic. Additionally, due to the lack of in situ data necessary for understanding the physical properties that might impact our altimeter observations, we referenced the studies that have previously shown these challenges. However, we acknowledge that the manuscript could be more focused to reduce the length. Therefore, we hope that the suggestion of separating into two parts (since the studies are linked) meets the reviewers’ approval, in the case that a single (albeit more focused) manuscript is not an option.
There are no in situ measurements at the surface which makes any conclusion based on these datasets pretty vague and speculative. The discussion of the results has references to other peoples studies with possible explanations to the observed variations. For example, in section 5.3 which is about 1 page long, the only observation from own data is: L877: “…based on visual comparison along a subset (Fig. 7a), that the snow-radar is incapable of retrieving snow depth over ridges due to only one single peak being present.” That there are no snow and ice in situ data in CRYO2ICEANT22 (and so many CryoSat validation campaigns before that) is a waisted opportunity and something to think about for ESA (part of this study) for future campaigns.
Response: Indeed, having in situ data would have been ideal for a more precise evaluation of why the methods are incapable of retrieving the same magnitudes of snow depth, as they otherwise should (under the different assumptions). We will include more direct examples in-text (with reference to Figures) of where what has been observed in the previous studies may apply, and will (also based on the recommendation of Reviewer #2) include the importance of in situ observations for such campaigns. This will either be included as a separate sub-section (in case of the two-piece linked papers) or be integrated into the discussions sub-sections whenever relevant.
It is worth noting, however, that many airborne campaigns (including CryoVEx, Operation IceBridge and AWI IceBird campaigns) have been completed without in situ campaigns simply because of the challenges with respect to logistics, funding and making comparable collection strategies. Also, several in situ components have been planned and conducted for airborne campaigns. Some of these were successful in terms of collection of data, but it is always a challenge to collocate in time and space, whereas others were unable to be conducted in the field, usually due to restricting weather or sea ice conditions. There are almost always some challenges when comparing the in situ and airborne data and often we are challenged by the temperature being questioned, as in particular the airborne campaigns are restricted to take place in a very limited time-window due to the polar darkness and melt-season, but also resources to actually analyze and collocate the data is also limited. There are several campaigns where the data simply have not been fully utilized, which should have higher priority in the future. We still need to develop a strategy for the “perfect” or at least, ideal, set-up. Efforts have been initiated within e.g., the St3TART/St3TART-FO and CRISTAL IN-PROVA projects regarding evaluating such set-ups.
Furthermore, it is essential to recognize the value of airborne observations as critical data sources. They provide representations closely aligned with satellite observations, albeit with varying spatial and range resolutions. These observations offer insights that may not always be captured in field measurements due to limitations in field coverage and differences in resolution and spatial extent, together with the challenges in aligning such observations over drifting ice in the polar regions. Landings on the drifting sea ice are becoming more and more challenging with higher risks due to the thinning and more dynamic sea ice cover. Once this is said we emphasize that in situ measurements are crucial in order to better understand and validate airborne estimates. We further encourage collaboration and coordination of airborne and in situ components.
Specific comments:
L120: Ku and Ka band is mentioned in the objectives, what about C/S-band?
Response: It was already mentioned in the sentence “and the applicability of the snow-radar”, but will be further highlighted. Ka/Ku-band were primarily mentioned, since these sensors are directly relevant for CRISTAL (and what CRYO2ICE is partly emulating). In our study, C/S-band snow-radar is used as our “ground-truth” following assumptions made on Arctic sea ice. However, we also show that the ground-truth from the snow-radar for Antarctic summer sea ice is still very much work in progress.
The sentence now reads: “With this study, we attempt to bridge several gaps: (a) evaluate microwave penetration into Antarctic snow cover at Ka- and Ku-band and the applicability of C/S-band snow-radar, with comparison to lidar airborne observations (...)”.
L126 and onwards: I think that it would be useful in the data section (2) to structure some of the information on instrument frequencies and bandwidth, antenna size, flight altitude etc. in tables for example by moving TA1 up into the text. Actually, I think that TA1 contains the relevant technical data for the discussion.
Response: We thank the reviewer for the comment, and have included the TA1 in the data section. In case of a two-manuscript linked study (Part I and II), the table will be included in Part I.
Figure 3: Please order the frequencies from high to low or low to high, here it is Ku-, Ka-, C/S-band.
Response: We thank the reviewer for the comments, and note that this will be changed in the final version.
L420: While the spatial scales vary from airborne to spaceborne radar observations, so does the waveform and the ratio between specular and diffuse scattering. The antenna beam width (in TA1) is a function of frequency and this affects the waveform shape and the detecting individual scattering contribution from the snow surface and the snow ice interface. Please, include a discussion of that and how it displays in the waveform data. This is also relevant when discussing the satellite and airborne data overlap in section 3.4 and the re-trackers in section 4.1.
Response: Indeed, it does. We thank the reviewer for mentioning this important aspect! This is also highlighted in the study of de-Rijke Thomas et al. (2023), when discussing the impact of quasi-specular scattering, and what we aimed at discussing in detail in Section 5.2 “Viewing geometry and sampling differences between sensors at different spatial scales”. We will expand on these aspects in the relevant sections. We encourage the reviewer to note specific studies/work to be referenced for this discussion.
L429: “… assuming a cold and dry snowpack.” Even though the snow pack may be cold or at least “not melting”, then it is most likely not dry. Snow on first-year ice contains brine and that has a significant impact on the refractive index and the light propagation speed (and microwave absorption). This is not included in the equation from Ulaby and, in addition, the Ulaby equation can be quite different from other models for computing the refractive index of snow. Frequency also plays a role small role when the snow is brine wetted. This is most relevant at C/S-band which is penetrating to the snow-ice interface. A discussion of that would be relevant and please include the results from different models in figure 5.
Response: We thank the reviewer for the comment. Indeed, a wetted - or brine-wetted - snow pack impacts the microwave penetration capabilities, an aspect not neglected in the discussion in Section 5.1. Nonetheless, we understand the importance of further showing the impact that brine-wetted snow will have on multi-frequency observations. We will expand on this discussion, and if possible, include the different relevant models in Figure 5. However, this mostly makes sense in case of a split manuscript. Otherwise, the manuscript becomes even longer, and since there currently are no studies that use a different assumption than cold/dry snow packs for the snow depth retrieval of air/space-borne altimetry, this also ventures into a different study, outside the scope of this study, which is worthy of its own analysis and publication.
If possible, we do urge the reviewer to detail which models could be of interest to include in Figure 5. However, we also think it is important to note that this methodology - and specifically this equation of refractive index - is used in the majority of dual-frequency studies, and thus, for the sake of comparing across studies, use this as the primary refractive index equation. However, we will expand on the discussion related to brine-wetted and saline snowpacks even if the model with a refractive index reflecting a saline snowpack is not presented in Figure 5.
Figure 7. What are ellipsoidal observations? The term is used in several places in the MS (e.g. fig. 4). Please define.
Response: Thank you for this keen observations, we will define this at first mentioning, where it is defined as:
“Ellipsoidal heights are elevations relative to a reference ellipsoid in this case WGS-84. This is computed as the range obtained from re-trackers (Section 3.1) subtracted the altitude of the air- or space-craft.”
L927: “Based on these, it appears that Ka- and Ku-band both scattered from mid-way in the snow and upwards in the majority of times.” I think there is a confusion here between the track-point, which is derived with the re-tracker and the waveform and the actual scattering surfaces. These two things are not the same and here they are combined into a confusing statement that “…Ka- and Ku-band both scattered from mid-way in the snow…”. Please reformulate to make this clear.
Response: Thank you for the comment. We will re-formulate this paragraph for clarity, taking note of specifying what is meant by “scattering interfaces” and “tracking horizons”, and the assumptions linking them.
Reviewer #2
General comments
Exploring microwave penetration into snow on Antarctic summer sea ice along CryoSat-2 and ICESat-2 (CRYO2ICE) orbit from multi-frequency air- and spaceborne altimetry by Renée M. Fredensborg Hansen, Henriette Skourup, Eero Rinne, Arttu Jutila, Isobel R. Lawrence, Andrew Shepherd, Knut V. Høyland, Jilu Li, Fernando Rodriguez-Morales, Sebastian B. Simonsen, Jeremy Wilkinson, Gaelle Veyssiere, Donghui Yi, René Forsberg, and Taniâ G. D. Casal presents a multi-scale examination of microwave penetration into the snow cover on Antarctic sea ice considering different viewing geometries from airborne and satellite platforms; namely CRYO2ICE and an airborne Ka-, Ku- and C/S-band radar and complimentary NIR lidar at 904 nm, the latter of which flew as an under-flight to the near coincident IS2 and CS2 overpasses. The paper is very well written and organized, albeit quite lengthy which is no doubt attributable to the many different sensors used. The authors have done a remarkable job at processing the various datasets and integrating them together and for this they should be commended. From a remote sensing of sea ice perspective, it is truly a globally unique dataset and for this reason alone I recommend that the manuscript be published, primarily for the intercomparison aspect of datasets and 16 different combinations of retrieved surfaces alone, subject to addressing my major and minor concerns and comments.
Response: We thank the reviewer for the positive feedback!
Major Concern
Not surprisingly, my major concern centers of the lack of in-situ snow and sea ice physical property validation data to support the altimetric interpretations. As the manuscript alludes to, there are several salient environmental conditions that need to be considered when interpreting airborne and satellite multi-frequency microwave data of snow (which is likely to be complex in nature) covered seasonal sea ice. Fig’s 2a and b suggest that the Dec 13th 2m air temperatures (from ERA5) ranged between +1 and -3oC (mean ~ -2.5oC) at the time of CRYO2ICE overpasses and CRYO2ICCEANT22 airborne flight. I note that UTC times listed (L186-189) are 3 hours difference from Rothera meaning that the CRYO2ICE overpasses and CRYO2ICCEANT22 airborne flight occurred during the warmer part of the mid-afternoon. As such, we might infer surface air temperatures were on the warmer side of the +0.5 to -3oC range despite the known warm air temperature bias in ERA5 often reported in the literature (~2-3oC) e.g., https://doi.org/10.3390/rs13142813. Notwithstanding, it is likely safe to assume that the snow volume and snow-ice interface temperatures will be slightly warmer than the estimated surface air temperature (range), given the expected thin sea ice resulting from this warm Antarctica winter. I used data from https://www.timeanddate.com/weather/antarctica/rothera-research-station/historic?month=11&year=2022 from March 1 to Dec 13, including precip/snowfall data to crudely calculate sea ice thickness to be no greater than 80-100 cm (albeit at Rothera which I acknowledge is some distance away from your study site) using a simple 1-D thermodynamic model. For thicker snow cover regions in the northern two-thirds of your study region it is likely that sea ice thickness is no greater than 80 cm. Such warm snow temperatures are associated with elevated snow brine volumes owing to the brine wicking mechanism that you mention several times (Massom et al., 2001; Barber and Nghiem, 1999; Barber et al., 1995; Geldsetzer et al., 2009). Furthermore, there is no information on the expected mean ice thickness on Dec 13th for your study region. A crude calculation for locations with snow depths > 30 cm (assuming a bulk snow density of 300 kg/m3 (as you suggest on L449) and 80 cm thick sea ice would produce negative freeboards at many? most?? locations along the coincident CRYO2ICE/airborne line. As such, your thick snow-covered areas likely include significant brine wetted snow and/or flooded sea ice in the basal layer with or without snow-ice and your thin snow-covered sea ice likely has melt-freeze layers, including surface melt-freeze crusts, and likely enlarged snow grains in the basal layer and greater snow roughness interfaces (at the surface and within the volume).
Response: We thank the reviewer for the in-depth comment and for the initiation of this important discussion regarding flooded and/or brine-wetted snow, and the impact it has on our altimetric studies.
Indeed, there is a significant possibility of negative freeboards along the entire transect, affecting penetration at different frequencies due to various aspects as you mention including enlarged grain sizes, wetness, crusts, layers, snow-ice formation, and flooded layers, which has been brought up several times in the paper already, and which is not news when it comes to Antarctic sea ice. This is also evident in Figure 7a (S/C-band subplot), where the tracked snow-ice interfaces are either very close to or even below surrounding leads. However, it appears we were not sufficiently clear about the various aspects that could limit the penetration. We will elaborate more on these effects on radar penetration in the discussion Section 5.1.
However, we prefer not to speculate too much on the ice thickness in the region, which is why it was not mentioned in detail in the paper. Additionally, calculating an estimate using a thermodynamic model and surface air temperatures from Rothera would likely be inaccurate, as these air temperatures do not reliably represent the surface air temperatures over the sea ice in our study region (see also Figure 2). Ideally, the thermal instrument onboard the aircraft could provide some insights, however these data are still being processed.
Therefore, my concern and likely that of yourself and co-authors, is that your evaluation of microwave penetration depth estimates are not all that meaningful when they cannot be assessed using any in situ snow physical property data and corresponding estimates of dielectrics, surface roughness, etc. … especially during relatively warm conditions, and particularly for thick snow producing sea ice which is not likely to be thick enough to continuously produce positive freeboards along the entire transect. L666-669 and L747 suggest as much. While your ALS swath and optical images allow you to ‘geophysically’ associate what the altimetry is sensing (i.e., leads versus floes including ridges), you have no information on the thermodynamic, snow structure, and dielectric states. As a result, I feel like nearly half of these 16 different combinations of retrieved surfaces is just as likely to represent the truth as any other. In other words, which of Fig 10a (or Fig 11a) is closer to the truth?
Response: Yes, we agree that it is difficult to say exactly what is going on and what “combination” is the truth, since we do not know the physical properties of the snow with the lack of in situ data. But, as you state in the end of the this paragraph, nearly half of these combinations would likely represent the truth as any other which leads into a discussion of what is the true snow depth retrievable when using altimetry due to the impact that the dielectric properties of the snow might have, that can limit penetration and alter scattering surfaces? And, one of the main questions of this study concerns “to what extent can we extract the same snow depth - under these study site conditions - using the various combinations relevant for the future dual-freq missions and airborne campaigns”.
Now, as we state, the plan is to use the snow radar as the ground-truth, as this is what has been done in multiple satellite studies, however what we also show is that the airborne combinations and re-trackers can provide vastly different results. Hence, more work is required to ensure consistency between methods and instruments. One way to ensure that we then track what we think we are tracking, is of course to have in situ data provided these are collected in a way that correlates with what is observed by the airborne sensors and the satellite sensors.
As such, the analysis presented in this manuscript is likely better reflected in a title change (by removing the notion that you are able to ‘explore’ microwave penetration depth) to one which emphasizes the intercomparisons of CRYO2ICE and CRYO2ICCEANT22 airborne altimetry data on an unknown but likely heterogenous and complex surface with unknown thermophysical snow structure. My suggestion would be ‘An intercomparison of CryoSat-2 and ICESat-2 (CRYO2ICE) and airborne multi-frequency altimetry over heterogeneous snow-covered summer sea ice without surface validation data‘.
Response: We thank the reviewer for the detailed comment, and agree that all the aspects mentioned indeed means that we cannot - with certainty - say which combination is “true”, hence also the wording “Explore” used in the title. However, we are happy to include the aspects mentioned by the Reviewer and adapt the title accordingly. We have changed the title slightly from the suggested to be:
“An intercomparison of CryoSat-2 and ICESat-2 (CRYO2ICE) and airborne multi-frequency altimetry over heterogeneous snow-covered Antarctic summer sea ice”
We have however opted to not include the “without surface validation data” since it is reflected in the title already, that airborne and satellite data will be used. Also, it is criticalto not take away from the importance of having these airborne observations themselves even without in situ data, which we feel the negative phrasing of “without surface validation data” alludes to.
We also note that this suggested title could be altered to highlight the “Part I” and “Part II” suggested as an alternative solution to deal with the otherwise lengthy manuscript, as noted in the response to Reviewer #1.
Less Major Concern
The length of the manuscript is somewhat of an issue. In order for comparison of the airborne sensors with the CRYO2ICE data, no less than seven instruments and their individual processing chains dealing with calibration, pre- and post-processing, including inter-calibration of sensors between floes and leads, etc. As you say on L552, 16 different combinations of retrieved surfaces are presented in this paper, and it is challenging to trace all the different considerations. A somewhat dramatic suggestion would be to split the paper into two manuscripts. One focused on the more technical aspects of the processing of the 16 different combinations of retrieved surfaces and much of the Results sections (to a Remote Sensing journal) and the other as a literature review type paper on multi-frequency and multi-scale radar altimetry of snow-covered summer sea ice which would include all of Section 5 (Discussion and outlook) and other pertinent material.
Response: We thank the reviewer for the comment. While we are keen to keep the manuscript combined, we acknowledge that it is lengthy. We have suggested to focus the manuscript more, however most of the information included is pertinent to understanding the data and the processing steps (as also noted by the Reviewer). Another solution has been suggested, in response to Reviewer #1, which is to separate the manuscript into two parts, but still keeping them linked. We await reviewers and editor comments regarding this.
Detailed minor comments
Line 35 – multiplex? … did you mean to say ‘complex’?
Response: We thank the reviewer for the comment. Indeed, complex was the intended word.
Line 48 – I feel you are missing a key ref here wrt to microwave propagation speed in snow on sea ice (Mallett et al., 2020 TC) which has been cited 47 times at last count.
Response: Indeed, an oversight on our part. Has now been included as reference in the following:
“Based on these experiments, Ku-band signals is often assumed to penetrate the snow cover, providing radar freeboards which are directly converted to sea ice freeboard after accounting for the slower wave propagation speed (e.g., Hendricks, 2022; Rinne and Hendricks, 2023; Mallett et al., 2020)”.Line 71 – ‘… Rösel et al., 2021), on Ku-band radars combined … ‘ I think it should be ‘or’.
Response: We thank the reviewer for the comment. However, we do not agree, since this question is noting three “types” of analyses or comparisons made. To clarify this, we have changed the sentence to:
“Most airborne studies have so far focused on (a) the Arctic snow depth using snow-radars or combinations of snow-radar and lidar (e.g., Kurtz and Farrell, 2011; Newman et al., 2014; Rösel et al., 2021); (b) Ku-band radars combined with either ground-based reference observations or airborne lidars(e.g., Willatt et al., 2011; De Rijke-Thomas et al., 2023; King et al., 2018); or, (c) deriving snow depth from snow-radar, Ka- and/or Ku-band for the purpose of validating satellite observations (e.g., Garnier et al., 2021; Armitage and Ridout, 2015).”
Line 115-116 – This sentence reads awkwardly. Please revise.
Response: We thank the reviewer for the comment. The sentence initially read:
“Currently, methods for this snow-radar have been developed and tested for the Arctic (Jutila et al., 2022b) and one Antarctic campaign with a sea-ice component has been conducted.”
It now reads:
“Currently, a method to derive snow depth from this particular snow-radar has been developed, however only tested for the Arctic (Jutila et al., 2022b). One Antarctic campaign with a sea-ice component has been conducted, but further analysis of the applicability of the methodology is pending.”
Line 169-170 – While 904 nm waves can generally be assumed to reflect from surfaces, they are likely to penetrate several cm under optimal cold, low density surface snow (Deems et al., 2013 S1.4). Most certainly a 532 nm laser reflects almost entirely at the a-s interface but that’s not the case here. I think a sentence is warranted to indicate that under such conditions, 904 nm waves are likely to penetrate and/or attenuate and/or scatter within the first few centimeters, unless you know definitively otherwise that none of your surface along the C2I and airborne flight lines did not have this condition (which I suspect is > 95% of the time for this study). I realize that in the grand scheme of things 1 or 2 cm is not going to significantly influence your results here.
Response: We thank the reviewer for the comment. Indeed, some centimeter-level penetration can occur, and we will include a sentence to indicate this. However, as you pointed out, we do not assume that this will be the most impactful effect in the broader context.
Line 265 – …” This, in turn, leads to reduced emissivity at higher frequencies, …”
Response: Agreed, has been edited accordingly.
Section 3.1.2 and Figure 3 (C/S-band plot). So, after reading all of the detail in 3.1.2 on multiple scattering horizons, as it relates to Figure 3 C/S-band example waveform plot, I am still confused as to why the C/S CWT a-s interface is detected ~ 12 cm higher up than the a-s interface from the ALS (Fig 3 – right panel)? I do note that in Fig 3 caption Deltaz,C/S is potentially offset by 2 of these 12 cm. Is it because Jutila et al., 2002b developed PEAK on Arctic snow or it just an artifact (interpolation) of the C/S band processing? I suspect I just shouldn’t be that concerned about it given the quite large calibration offsets needed (3.2.2). Perhaps the example waveform shown in Fig 3 consists of leads and/or open water thus your explanation L386-390 is useful. Furthermore, the large ‘grey shading’ of local waveforms to the example waveform shown here (Figure 3) suggests vastly different snow conditions and surface/volume scattering mechanisms over short distances further supporting my Major Concern comment of highly variable and/or complex snow, which can’t be commented on due to the lack of in-situ data.
Response: Indeed, a potential small offset by the lever arms is present (of those 2 cm as noted by the Reviewer), but the reason that the air-snow interface is tracked that much higher in CWT compared to PEAK relates to how they define the air-snow interface to be tracked.
PEAK re-tracks the air-snow interface once it is above the user-defined power threshold for noise, and the left-hand peakiness threshold (in a logarithmic scale). That means that PEAK re-tracks the air-snow interface on the leading edge of the maximum value whenever the thresholds are met. However, the snow-ice interface on PEAK can be on either the leading edge or any subsequent peaks provided they fulfill the threshold requirements. In contrast, CWT uses the first range bin where the power exceeds a noise threshold, which is essentially when the radar beam starts to illuminate the snowpack (which could include e.g., snow drifts, sastrugi etc.). Thus, PEAK is more strict in selecting on which part of the leading edge the air-snow interface should occur assuming that it has to be of a significant magnitude to represent scattering from an interface, where there is potential for CWT to re-track lower power spikes or power in general on the waveform as its air-snow interface. Furthermore, CWT always picks the snow-ice interface on the leading edge. All of these differences in “interface” tracking can be seen on Figure 3 (C/S-band), where PEAK tracks primarily on the leading edge of a significant peak, whereas CWT re-tracks primarily once the waveform exceeds some “thermal noise” or where it has some power, which is visible. ALS is the average surface value within a 5 m circular footprint at the radar observation locations, and as noted, could have some minor penetration which is however within uncertainties of the radars and their range resolution.
It is important to note, that the specific example waveform shown in Figure 3 is not of leads (you can see in Figure 7b, that the example waveform is from a relatively large floe, and from Figure 6 you can deduce the scale of what is included in the waveform of airborne scales).
However, yes, the shading shows the heterogeneity of the snow and ice conditions along a subset. Here, it is only +/- 5 nearest waveforms (which essentially covers, approximately, 50 m of distance).
L486-488 – Its worth reiterating again here that you are most certainly not dealing with a cold and dry snowpack (re: Major Concern). Data from your ERA5 air temperature map (Figure 2) and the Rothera station data https://www.timeanddate.com/weather/antarctica/rothera-research-station/historic?month=11&year=2022 suggest considerable diurnal snow temperature cycling in your study area during the latter half of November which has likely produced a complexly layered snow pack with multiple melt/freeze layers, including large poly-aggregate snow grains, which when brine coated from brine wicking, serve as significant scattering centers for Ku-band waves.
Response: Indeed, we will reiterate this, and link to Section 5.1 where this is further discussed.
L616 – I might suggest you use (or at least add) the word ‘differences’ instead of ‘variations’.
Response: We thank the reviewer for the comment, and have changed the word “variations” to “differences.
L634 – on_space(
Response: Thank you, adapted accordingly.
L710 – I suggest using ‘best’ instead of ‘greatest’
Response: Thank you, adapted accordingly.
L730 – I would prefer that the sentence be adjusted to state what the ‘brine wicking’ process does, that is, leads to saline snow in the basal layer. Suggestion would be …” brine wicking leading to saline snow, and/or flooding due to …”
Response: We agree, this has been adapted accordingly.
L728 – “… appear not to hold true …’
Response: Thank you, adapted accordingly.
L735-738– while liquid water may in fact be present in the snow along the joint CRYO2ICE overpasses and CRYO2ICCEANT22 airborne flight lines during the diurnal maximum on Dec 13th, the likely more important factor (related to Major Concern above) is the appreciable brine volume and/or flooded snow-ice interface from negative freeboards. To conclude on the air temperature of ~ -5oC (L736) is not sufficient. You need to translate what this air temperature forcing would produce in terms of snow volume and snow-ice interface temperature given the expected ice thickness and assuming the densities of snow, sea ice, and ocean water. It will/would be quite interesting to see what the surface temperature might have been like from the thermal instrument (not yet completely processed or included in this paper).
Response: Indeed, it would have been interesting to see that the surface temperature would have been. While we are not keen on providing exact estimates of expected thickness when we see such discrepancies in derived snow depths from these different combinations, we will expand on the discussion that relatively warm temperatures will have on the dielectric and physical properties of the snowpack. Provided the thermal data has been processed, this could be included to support the discussion.
L749-752 – I am surprised that the authors have chosen to reference a multi-frequency snow wetness study over land (Marshall et al., 2004) when there are several multi-frequency microwave snow on sea ice papers available that discuss microwave penetration issues into saline snow when snow temperatures are warm enough to contain appreciable amounts of brine in the basal layer and nearly warm enough to possess small quantities of liquid water in the snow (e.g., Willatt et al., 2010; 2011 and https://doi.org/10.1016/j.rse.2017.06.029).
Response: We thank the reviewer for the comment. This aspect was mainly included to discuss to what extent C-band can have dominant scattering at the snow-ice interface even with a relatively wet snowpack - a focus that Willatt et al. 2010, 2011 primarily address for Ku-band. Nandan et al. (2017, J.RSE - linked by Reviewer) evaluates both Ku-, X-, and C-band, however, only for scatterometers. We will include Nandan et al. (2017) as reference if relevant once we have read it in detail. We do note that we have already included several other altimeter studies over sea at different frequencies discussing partial penetration (including Willatt et al 2010, 2011) and the various factors contributing to it. However, as noted before, we will expand on the discussion of brine-wetted snow and include the relevant sea ice altimeter studies.
L774 ‘…. occurs …’
Response: Thank you, adapted accordingly.
L943-944 – I’m surprised that the authors don’t recommend that such investigations (and science planning efforts) make surface validation data a priority. I get that it would have been nearly impossible and/or costs hundreds of thousands of $ to acquire even a handful of surface validation points but its important to emphasize this point for funding agencies when such good analytical work, like is the case for this paper, is completed.
Response: We thank the reviewer for the comment, which Reviewer #1 also noted. We will make sure to note such investigations and efforts as priority, however, there is still work needed to understand how such observations should be completed to simulate what is observed by air- and spaceborne platforms. Simply doing transects may not be sufficient. That alone has been discussed when comparing freeboards from air- and spaceborne systems in e.g., the CryoVal-SI project. We will include this aspect in the discussion section and urge for continuation of such science planning efforts.
Citation: https://doi.org/10.5194/egusphere-2024-2854-AC3 - AC4: 'Final response on egusphere-2024-2854', Renée Mie Fredensborg Hansen, 20 Nov 2024
Data sets
Airborne ellipsoidal elevations and derived snow depths from Ka-, Ku-, C/S-band and lidar observations along CRYO2ICEANT22 under-flight (13 December 2022) along co-located CRYO2ICE (CryoSat-2 and ICESat-2) observations of snow depth using CryoTEMPO, FF-SAR and ESA-E CryoSat-2 processing chains Renée Mie Fredensborg Hansen, Henriette Skourup, Isobel Lawrence, Jilu Li, Fernando Rodriguez-Morales, and Donghui Yi https://doi.org/10.11583/DTU.26732227
Model code and software
CRYO2ICEANT2022 Antarctic Summer Sea Ice Under-Flight using Multi-Frequency Airborne Altimetry Renée Mie Fredensborg Hansen https://doi.org/10.5281/zenodo.13749342
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