the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
| 15 Aug 2022
Polar Firn Properties in Greenland and Antarctica and Related Effects on Microwave Brightness Temperatures
Abstract. In studying the mass balance of polar ice sheets, the fluctuation of the firn density near the surface is a major uncertainty. In this paper, we explore these variations at locations in the Greenland Ice Sheet and at the Dome C location in Antarctica. Borehole in situ measurements, snow radar echoes, microwave brightness temperatures, and modelling results from the Community firn model (CFM) are used. It is shown that firn density profiles can be represented using 3 processes: “long” and “short” length scale density variations and “refrozen layers”. Consistency with this description is observed in the dynamic range of airborne 0.5–2 GHz brightness temperatures and snow radar echo peaks in measurements performed in Greenland in 2017. Based on these insights, a new analytical partially coherent model is implemented to explain the microwave brightness temperatures using the three scale description of the firn. Short and long scale firn processes are modelled as a 3D continuous random medium with finite vertical and horizontal correlation lengths as opposed to past 1D random layered medium descriptions. Refrozen layers are described as deterministic sheets with planar interfaces, with the number of refrozen layer interfaces determined by radar observations. Firn density and correlation length parameters used in forward modelling to match measured 0.5–2 GHz brightness temperatures in Greenland show consistency with similar parameters in CFM predictions. Model predictions also are in good agreement with multi-angle 1.4 GHz vertically and horizontally polarized brightness temperature measured by the SMOS satellite at DOME C, Antarctica. This work shows that co-located active and passive microwave measurements can be used to infer polar firn properties that can be compared with predictions of the CFM. In particular, 0.5–2 GHz brightness temperature measurements are shown to be sensitive to long scale firn density fluctuations with density standard deviations in the range 0.01–0.06 g/cm3 and vertical correlation lengths of 6–20 cm.
-
Notice on discussion status
The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.
-
Preprint
(1693 KB)
-
The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.
- Preprint
(1693 KB) - Metadata XML
- BibTeX
- EndNote
- Final revised paper
Journal article(s) based on this preprint
Interactive discussion
Status: closed
-
RC1: 'Comment on egusphere-2022-698', Anonymous Referee #1, 26 Sep 2022
General Comments
This manuscript presents an exciting attempt to integrate active radar and passive microwave measurements to characterize firn properties (namely density) in both Greenland and Antarctica. The authors use airborne, high-bandwidth radar sounding data to constrain the presence of refrozen melt layers in firn and then use that information as an input to forward modeling of passive microwave brightness temperatures. The authors pull in a lot of different datasets (both modeled and observed) to provide a comprehensive analysis of near-surface firn properties.
Overall, while the scientific scope is extremely relevant and worthy of publication within The Cryosphere, I believe how it is presented and described within then manuscript would benefit from a thorough revision to 1) clarify/streamline the structure and 2) address how this research more clearly fits within the broader field.
Regarding the former, the authors make use of many different datasets and models (e.g., global climate model outputs, CFM, active radar, in situ measurements, UWBRAD, SMOS, forward model of brightness temperatures) but it isn’t always clear how these pieces fit together to meet the main objective of the paper. To me, the manuscript is missing an overarching structure that the authors can use to guide the reader; the lack of which makes the manuscript difficult to follow.
Regarding the latter, the manuscript currently reads as a long Introduction followed by a flood of Results and then one paragraph of Conclusions. The authors do not make space for discussing the relevance of their results with respect to other work or how they see their work contributing to the field into the future. Currently, the authors leave all this to the reader to intuit for themselves, which can limit the impact the manuscript will have (i.e., be explicit and tell the reader why your work is important to them).
Below I have included suggestions for how the authors might consider revising their manuscript in light of these points as well as other comments and questions that I think would add to the manuscript.
Specific Comments
1) To address these issues raised in my General Comments, I’d recommend the authors consider adopting a more conventional manuscript structure (Introduction → Methods → Results → Discussion → Conclusions). As currently structured, the Introduction attempts to contextualize the research (which I think it does fairly well up until line 66) but then diverges into presenting all the datasets and methodology to be followed through the remainder of the paper. I would recommend considering the inclusion of a stand-alone Methods section where the entire procedure the authors envision can be described (perhaps including a flowchart?) along with all the models (CFM, forward model) and datasets (in situ, Snow Radar, UWBRAD). I believe this would provide the necessary structure needed to organize the current Results section and a point of reference for a newly added “Discussion” section.
2) By their own admission (line 63), the authors are not the first to recognize that passive microwave measurements contain information on firn density fluctuations (note that Tan et al. (2019) does not appear in the reference list). However, there are noticeable absences from what the authors present as the existing research in this direction. How do the passive microwave Greenland density results of Houtz et al. (2019, 2021) and Mousavi et al. (2021) fit together with what is presented here?
Houtz et al. (2019) “Snow wetness and density retrieved from L-band satellite radiometer observations over a site in the West Greenland ablation zone” Remote Sensing of Environment 235 https://doi.org/10.1016/j.rse.2019.111361
Houtz et al. (2021) “Quantifying Surface Melt and Liquid Water on the Greenland Ice Sheet using L-band Radiometry” Remote Sensing of Environment 256 https://doi.org/10.1016/j.rse.2021.112341
Mousavi et lal. (2021) “Evaluation of Surface Melt on the Greenland Ice Sheet Using SMAP L-Band Microwave Radiometry” IEEE JSTARS 14 https://doi.org/10.1109/JSTARS.2021.3124229
3) As a whole, the manuscript reads as under-cited. The authors often make statements that appear to require or refer to other sources without any indication of what those sources are. I have compiled the following list of example locations.
Line 35: “For example…”
Line 43: “Because the material…”
Line 45: “For example…”
Line 68: “In our previous…”
Line 132: “The second and third…” (specifically in reference to the NEGIS density profile)
Line 168: “UWBRAD measures…”
Line 171: “The University of…”
Line 204: “These peaks are…”
Line 242: “The exponential form…”
Line 249: “Although the top…”
4) In Section 2, the authors demonstrate the ability of the CFM to produce roughly equivalent density profiles to what has been measured in situ. I am left to wonder however, why these three specific in situ examples where chosen (i.e., Summit, NEEM and NEGIS)? The authors have already referred to the SUMup dataset (i.e., Montgomery et al., 2018) which contains many more in situ density profiles, some with better depth sampling than the NEEM and NEGIS examples and more contemporaneous with the UWBRAD and Snow Radar measurements. Is there a specific reason these three sites are preferred compared to others?
5) Table 1 presents a comparison of the Site 1 in situ density profile and the modeled CFM result. Variations in CFM density are constant with depth while the in situ ones decrease. At the same time, the vertical correlation lengths in the CFM results seem to be consistently smaller than those based on the in situ data. How are the metrics by which the “reasonable agreement” (line 166) between the CFM and in situ density profiles (i.e., standard deviations <0.03 (line 151) and correlation lengths <20 cm (line 152)) chosen? They seem rather arbitrary.
Furthermore, the caption states that one meter of data are used to estimate these properties but why is the depth interval at which these properties are reported two meters? Why not also present the vertical density standard deviation and correlation length between one and two meters?
6) The authors use “sites”, “locations”, and “points” when referring to individual measurements interchangeably. I would recommend using one term consistently through the entire manuscript. Furthermore, the specific sites (i.e., what is referred to as “Site 1”) appear to change between sections. For example, in Section 2, “Site 1” refers to the location of the Summit in situ density measurement (line 136) but in Section 3, “Site 1” refers to the northernmost intersection of the UWBRAD and Snow Radar flight lines (Table 3, Figure 3). This is very confusing for the reader. I would recommend against Section-specific naming conventions.
7) The authors have many figures that I believe could be condensed. For example, could Figures 1 and 2 be combined into a single figure with three sub-panels overlaying the measured and modelled density profiles? Could Figure 5 and Figure 6 be combined since they present different versions of the same information? Could Figures 9, 10, and 11 be combined into a single figure since they all share the same x-axis?
8) I recommend the authors clarify the relationship between their representation of the vertical density profiles used in Section 2 (line 126) and Section 4 (line 234). Is it necessary to include both a one-dimensional representation (i.e., Section 2) and the three-dimensional representation (i.e., Section 4)?
9) In Section 4, the authors introduce a horizontal correlation length for their density profile. What is the physical justification for including horizontal density variations? Furthermore, the emission model appears to be one-dimensional, so what does the additional horizontal density fluctuation contribute to the analysis?
10) A key takeaway of this work seems to be the need for the co-acquisition of active radar and passive microwave data to asses any influence from refrozen layers. How do the authors perceive the broader applicability of their methodology moving forward knowing the current spatial and temporal coverage disparity between where active radar measurements (i.e., airborne at specific points in time) exist compared to passive microwave (i.e., satellites in continual operation)?
11) In Section 5, the authors attribute cross-frequency brightness temperature variations in the UWBRAD results between locations 1-3 and location 4 as the impact of more refrozen layers at location 4. Can they authors elaborate on why they believe it is solely the number of layers that affects the measured brightness temperature and not their position (i.e., the relative depth between layers as well as they’re absolute position within the firn column)? Would it be more intuitive to expand on what is presented in Figure 11 to include the effects of multiple layers as well as their relative positioning.
12) In Section 5, the authors introduce numerous exponential functions that are used to decrease different model parameters with depth (e.g., exp(z/33), exp(z/55), and exp(z/5) on line 315 and exp(z/30) and exp(z/40) on line 356). How were these specific functions chosen?
13) It is not clear why Antarctic SMOS data are included in the study. Why not use SMOS data from Greenland that overlap with the active radar and UWBRAD datasets? How does the Antarctic SMOS analysis contribute to findings of the paper?
14) The authors repeatedly use “reasonable” as a qualitative, catch-all term for describing the agreement between two sets of data/observations without providing any justification. What specifically about these comparisons deem them to be indicative of a “reasonable agreement” from the authors perspective?
Line 164 (and line 166): The CFM results in Figure 2 do not reproduce the in situ variability at the top of the firn profile. What aspect of the CFM density profile is it that the authors are using to deem the agreement with the in situ profile reasonable? Is it simply the mean density?
Line 239: What degree of vertical offset (i.e., +/-15 cm?) do the authors allow between the CFM density peaks and the active radar peaks for them to be illustrative of a reasonable agreement. How does this compare to the vertical resolution of these two datasets?
Line 311; When applying the iterative method to refine the model parameters, how do the authors define what a reasonable match is? Is there some error level, threshold, or similarity metric the authors use? If so, what is it?
15) Could the authors please clarify how the accumulation rates presented in Table 7 are calculated? Are they an output from the forward modelling of the brightness temperatures or are they simply calculated based on the depth to the assumed 2012 melt layer identified from the Snow Radar measurements?
Technical Corrections
1) Please be consistent with referencing style. Sometimes references appear in square brackets while for others the authors use round brackets (i.e., [] vs ()). There are also some citations (e.g., line 237) with references that are missing publication years. Please follow the TC guidelines for citations.
2) Please ensure consistent symbols throughout the manuscript. For example, ε is used in the equation on line 239 but ∈ is used in lines 240 and 243.
3) Please ensure units are provided for every axis for every figure. There are some figures which have units for every axis (e.g., Figure 1), some with units for one axis only (e.g., Figure 2, Figure 4-7), and some without units completely (e.g., Figure 12).
4) Please modify Figure 4 as radar echograms are typically presented with distance along the x-axis and depth along the y-axis. Furthermore, I would recommend highlighting the exact portions of the echograms the individual profiles are pulled from. Finally, since the authors average echo profiles over one-kilometer sections, I would suggest denoting the x-axis of the modified echogram in groundtrack distance as opposed to latitude. I think this will be more intuitive for the reader as to how much averaging is done.
5) Please explicitly label subfigures (i.e., a, b, c, d, …) instead of using positional cues (i.e., top-left, right-most, etc.).
6) Please follow the TC guidelines on numbering manuscript subsections in Section 5.
7) Please ensure that the CReSIS Snow Radar is capitalized when appropriate as it is the formal name for the system.
8) Please ensure the labelling and captions for each figure is correct. For example, the label on the right side of Figure 6 appears incorrect as well as the caption. I assume this should be point 4?
9) Please be consistent in how the amplitude of the active radar data are expressed. The echogram as part of Figure 4 presents the data in dB while all other plots (Figures 4-7) seem to present linear amplitudes. I would recommend plotting everything in dB as this is the more conventional representation for these data.
10) Please follow the TC guidelines with regards to labeling equations.
11) Please follow the TC guidelines with regards to unit notation (i.e., with negative exponents, non-italicized).
12) Line 247 makes reference to a “region 1” that seems to be associated with Figure 8; however there is no region 1 identified in Figure 8 so I am unsure to what the authors are referring.
13) Please use consistent notation in Table 5 as is used in the text (i.e., what is corlp?). Also, please use a consistent font size within the table.
14) Please use a consistent Table style following the TC guidelines.
15) “frin” line 71
16) Instead of just the bandwidth, please provide the actual upper and lower frequency bounds for Snow Radar signals on line 84 as is done on line 172.
17) Units are missing for the depth in line 221.
18) There is an extra colon in line 233.
19) There is an extra colon in line 279.
20) Please provide units for the reflection amplitudes on line 280.
21) There is an extra colon in line 282.
22) There is a space missing on line 316 (i.e., "aslp" compared to "as lp").
23) Please fix the legend in for the Point 3 subplot in Figure 13 to match the rest of the subplots.
Citation: https://doi.org/10.5194/egusphere-2022-698-RC1 - AC1: 'Reply on RC1', Haokui Xu, 09 Dec 2022
-
RC2: 'Comment on egusphere-2022-698', Anonymous Referee #2, 10 Oct 2022
General Comments
This is an interesting paper that combines the new Community Firn Model (CFM) with active (Snow Radar) and passive (UWBRAD and SMOS) microwave observations and an emission model to characterize firn stratigraphy at high-elevation sites in Greenland and Antarctica. The CFM is used to simulate density measurements. The SnowRadar is used to detect and then characterize high-density layers within the firn. Density profiles and high-density layers are used as inputs into the emission model. Model results are then compared to the microwave observations.
The topic and scope of the manuscript is relevant to the Cryosphere. However, as pointed out by Reviewer #1, the paper (1) lacks a coherent structure to guide the reader though the analysis, and (2) lacks a discussion about the results and the overall broader relevance of the study to the field. I would strongly suggest a major revision to improve the readability of the manuscript.
Specific Comments:
Reviewer #1 did an ~excellent job~ at pointing out most of the major issues in this paper in Specific Comments (1, 3-15). I don’t have too much more to add to this.
I would only disagree with Reviewer 1 on Specific Comments (2) – on detailed comparisons with Houtz et al. (2019, 2021) and Mousavi et al. (2021). Although there may be some similarities in the emission models, the focus of those studies is detecting meltwater in the lower-elevation percolation and ablation zone. This study focuses on high-elevation sites in what is typically the dry snow zone, which in some year’s experiences extreme melt events. I don’t think the comparison would be particularly relevant or useful.
1 -The introduction is too long, particularly compared with the length of the other sections and the overall manuscript.
I think much of the information in the introduction could more effectively be distributed into the main text. Specifically, following line 66 (In this paper…). For example, the details of the UWBRAD instrument, the CFM, and the Snow Radar. Following these descriptions, there is a relatively detailed description of the model.
A critical concept that is somewhat missed in the introduction, and a significant strength of the method, is the concept of refreezing high-density layers. Over the last decade, extreme melt events in the interior of Greenland have become more frequent, with melting detected at Summit in 2012, 2019, 2021(including rain!). These melting trends will likely continue, which will routinely bury high-density layers in the firn, and ultimately alter the interior structure of the ice sheet, which has mass balance implications.
From the perspective of EM modeling, typical dry snow models with layered firn will need to be adapted to account for these high-density layers, which can range from simple ice layers (this paper), to layers formed via shallow or deep vertical percolation of meltwater, with larger, vertically distributed ice structures (e.g.,
- C. Jezek et al., "500–2000-MHz Brightness Temperature Spectra of the Northwestern Greenland Ice Sheet," in IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 3, pp. 1485-1496, March 2018, doi: 10.1109/TGRS.2017.2764381.)
Line 56 states: The strongest echoes in a radar echogram, for example, show the position of abrupt permittivity changes that usually correspond to the position of refrozen melt layers (Jezek and others, 1994; Zabel and others, 1995). An alternate or additional reference with high-density layers that are closer in structure to what you might find in cross-over sites is
Culberg, R., Schroeder, D.M. & Chu, W. Extreme melt season ice layers reduce firn permeability across Greenland. Nat Commun 12, 2336 (2021). https://doi.org/10.1038/s41467-021-22656-5.
2 -The manuscript structure is difficult to follow.
I agree with Reviewer #1’s suggestion for a more formal structure: Introduction → Methods → Results → Discussion → Conclusions. Some suggestions: I might start with a flowchart linking models with the data sets. I might next introduce the model – which nicely provides the emission concept (Fig. 8) and instantly clarifies to the reader the objective. I might then follow with the details of the input data. Then the model results. Then comparisons with UWBRAD data for Greenland only (#3 below). Then a strong discussion which is currently missing from the manuscript.
3 -The paper would be much stronger if it focused on just Greenland.
The Antarctica comparison seems out of place in the manuscript. The paper starts out with a model that includes high-density layers, and data from the CFM, the SNOW RADAR, and UWBRAD over Greenland. The paper then shifts gear to Dome C, a site where high-density layers do not form, and a model comparison with a different instrument (SMOS). Perhaps the general idea was to compare sites with different firn characteristics. If that were the case, it would be more straightforward from the perspective of the reader to include a UWBRAD comparison between sites (UWBRAD data was collected at Dome C) or a SMOS comparison between sites. But, I don’t think that this comparison is needed for this manuscript, Greenland, with a strong discussion section, is sufficient.
4 - The manuscript lacks a discussion section that describes the study relevance.
Technical Corrections
Line 14 - locations in the Greenland Ice Sheet - > locations on the Greenland Ice Sheet
Line 14 - and at the Dome C location - > and at Dome C
Line 15 - Borehole in situ measurements - > Borehole measurements
Line 65 - Kirchhoff’s Law[Tsang 2001] - > add space
Line 131 - T41(71.08N,37.92W) - > add space
Line 140 - Summit station, Greenland - > Summit Station, Greenland
Line 147 - from Neutron Probe of Morris and Wingham, 2011 - >
from the Neutron Probe Morris and Wingham, (2011)
Line 153 - 9.4cm - > space
Line 160 - In-situ Measurements - > in situ measurements
Line 180 - X-Ray - > X-ray, also throughout text
Line 184 – Table 3: Latitude and Longitude for crossover points of 2017 UWBRAD and Snow Radar Measurements - > Table 3: Latitude and longitude for crossover points of 2017 UWBRAD and Snow Radar measurements
Figure 4, 5, 6 – Sizes of plots are different (Fig. 4) – please correct. Reverse x- and y- axes, so density is vertical, which is the typical orientation.
Line 276 - Tan et al 2020 – Tan et al., (2020)
Line 279 - Figure 9: - > remove colon
Line 282 - Figure 10: - > remove colon
Lines 290 - ð. ðð(0.35g/cm^3 in density) - > add space
There are many places with issues with spaces (or lack of spaces), punctuation (especially random colons), notation, un-needed capitalization (particularly in table and figure captions). Please give the manuscript a ~very careful review~ for these issues during the revision.
Citation: https://doi.org/10.5194/egusphere-2022-698-RC2 - AC2: 'Reply on RC2', Haokui Xu, 09 Dec 2022
Interactive discussion
Status: closed
-
RC1: 'Comment on egusphere-2022-698', Anonymous Referee #1, 26 Sep 2022
General Comments
This manuscript presents an exciting attempt to integrate active radar and passive microwave measurements to characterize firn properties (namely density) in both Greenland and Antarctica. The authors use airborne, high-bandwidth radar sounding data to constrain the presence of refrozen melt layers in firn and then use that information as an input to forward modeling of passive microwave brightness temperatures. The authors pull in a lot of different datasets (both modeled and observed) to provide a comprehensive analysis of near-surface firn properties.
Overall, while the scientific scope is extremely relevant and worthy of publication within The Cryosphere, I believe how it is presented and described within then manuscript would benefit from a thorough revision to 1) clarify/streamline the structure and 2) address how this research more clearly fits within the broader field.
Regarding the former, the authors make use of many different datasets and models (e.g., global climate model outputs, CFM, active radar, in situ measurements, UWBRAD, SMOS, forward model of brightness temperatures) but it isn’t always clear how these pieces fit together to meet the main objective of the paper. To me, the manuscript is missing an overarching structure that the authors can use to guide the reader; the lack of which makes the manuscript difficult to follow.
Regarding the latter, the manuscript currently reads as a long Introduction followed by a flood of Results and then one paragraph of Conclusions. The authors do not make space for discussing the relevance of their results with respect to other work or how they see their work contributing to the field into the future. Currently, the authors leave all this to the reader to intuit for themselves, which can limit the impact the manuscript will have (i.e., be explicit and tell the reader why your work is important to them).
Below I have included suggestions for how the authors might consider revising their manuscript in light of these points as well as other comments and questions that I think would add to the manuscript.
Specific Comments
1) To address these issues raised in my General Comments, I’d recommend the authors consider adopting a more conventional manuscript structure (Introduction → Methods → Results → Discussion → Conclusions). As currently structured, the Introduction attempts to contextualize the research (which I think it does fairly well up until line 66) but then diverges into presenting all the datasets and methodology to be followed through the remainder of the paper. I would recommend considering the inclusion of a stand-alone Methods section where the entire procedure the authors envision can be described (perhaps including a flowchart?) along with all the models (CFM, forward model) and datasets (in situ, Snow Radar, UWBRAD). I believe this would provide the necessary structure needed to organize the current Results section and a point of reference for a newly added “Discussion” section.
2) By their own admission (line 63), the authors are not the first to recognize that passive microwave measurements contain information on firn density fluctuations (note that Tan et al. (2019) does not appear in the reference list). However, there are noticeable absences from what the authors present as the existing research in this direction. How do the passive microwave Greenland density results of Houtz et al. (2019, 2021) and Mousavi et al. (2021) fit together with what is presented here?
Houtz et al. (2019) “Snow wetness and density retrieved from L-band satellite radiometer observations over a site in the West Greenland ablation zone” Remote Sensing of Environment 235 https://doi.org/10.1016/j.rse.2019.111361
Houtz et al. (2021) “Quantifying Surface Melt and Liquid Water on the Greenland Ice Sheet using L-band Radiometry” Remote Sensing of Environment 256 https://doi.org/10.1016/j.rse.2021.112341
Mousavi et lal. (2021) “Evaluation of Surface Melt on the Greenland Ice Sheet Using SMAP L-Band Microwave Radiometry” IEEE JSTARS 14 https://doi.org/10.1109/JSTARS.2021.3124229
3) As a whole, the manuscript reads as under-cited. The authors often make statements that appear to require or refer to other sources without any indication of what those sources are. I have compiled the following list of example locations.
Line 35: “For example…”
Line 43: “Because the material…”
Line 45: “For example…”
Line 68: “In our previous…”
Line 132: “The second and third…” (specifically in reference to the NEGIS density profile)
Line 168: “UWBRAD measures…”
Line 171: “The University of…”
Line 204: “These peaks are…”
Line 242: “The exponential form…”
Line 249: “Although the top…”
4) In Section 2, the authors demonstrate the ability of the CFM to produce roughly equivalent density profiles to what has been measured in situ. I am left to wonder however, why these three specific in situ examples where chosen (i.e., Summit, NEEM and NEGIS)? The authors have already referred to the SUMup dataset (i.e., Montgomery et al., 2018) which contains many more in situ density profiles, some with better depth sampling than the NEEM and NEGIS examples and more contemporaneous with the UWBRAD and Snow Radar measurements. Is there a specific reason these three sites are preferred compared to others?
5) Table 1 presents a comparison of the Site 1 in situ density profile and the modeled CFM result. Variations in CFM density are constant with depth while the in situ ones decrease. At the same time, the vertical correlation lengths in the CFM results seem to be consistently smaller than those based on the in situ data. How are the metrics by which the “reasonable agreement” (line 166) between the CFM and in situ density profiles (i.e., standard deviations <0.03 (line 151) and correlation lengths <20 cm (line 152)) chosen? They seem rather arbitrary.
Furthermore, the caption states that one meter of data are used to estimate these properties but why is the depth interval at which these properties are reported two meters? Why not also present the vertical density standard deviation and correlation length between one and two meters?
6) The authors use “sites”, “locations”, and “points” when referring to individual measurements interchangeably. I would recommend using one term consistently through the entire manuscript. Furthermore, the specific sites (i.e., what is referred to as “Site 1”) appear to change between sections. For example, in Section 2, “Site 1” refers to the location of the Summit in situ density measurement (line 136) but in Section 3, “Site 1” refers to the northernmost intersection of the UWBRAD and Snow Radar flight lines (Table 3, Figure 3). This is very confusing for the reader. I would recommend against Section-specific naming conventions.
7) The authors have many figures that I believe could be condensed. For example, could Figures 1 and 2 be combined into a single figure with three sub-panels overlaying the measured and modelled density profiles? Could Figure 5 and Figure 6 be combined since they present different versions of the same information? Could Figures 9, 10, and 11 be combined into a single figure since they all share the same x-axis?
8) I recommend the authors clarify the relationship between their representation of the vertical density profiles used in Section 2 (line 126) and Section 4 (line 234). Is it necessary to include both a one-dimensional representation (i.e., Section 2) and the three-dimensional representation (i.e., Section 4)?
9) In Section 4, the authors introduce a horizontal correlation length for their density profile. What is the physical justification for including horizontal density variations? Furthermore, the emission model appears to be one-dimensional, so what does the additional horizontal density fluctuation contribute to the analysis?
10) A key takeaway of this work seems to be the need for the co-acquisition of active radar and passive microwave data to asses any influence from refrozen layers. How do the authors perceive the broader applicability of their methodology moving forward knowing the current spatial and temporal coverage disparity between where active radar measurements (i.e., airborne at specific points in time) exist compared to passive microwave (i.e., satellites in continual operation)?
11) In Section 5, the authors attribute cross-frequency brightness temperature variations in the UWBRAD results between locations 1-3 and location 4 as the impact of more refrozen layers at location 4. Can they authors elaborate on why they believe it is solely the number of layers that affects the measured brightness temperature and not their position (i.e., the relative depth between layers as well as they’re absolute position within the firn column)? Would it be more intuitive to expand on what is presented in Figure 11 to include the effects of multiple layers as well as their relative positioning.
12) In Section 5, the authors introduce numerous exponential functions that are used to decrease different model parameters with depth (e.g., exp(z/33), exp(z/55), and exp(z/5) on line 315 and exp(z/30) and exp(z/40) on line 356). How were these specific functions chosen?
13) It is not clear why Antarctic SMOS data are included in the study. Why not use SMOS data from Greenland that overlap with the active radar and UWBRAD datasets? How does the Antarctic SMOS analysis contribute to findings of the paper?
14) The authors repeatedly use “reasonable” as a qualitative, catch-all term for describing the agreement between two sets of data/observations without providing any justification. What specifically about these comparisons deem them to be indicative of a “reasonable agreement” from the authors perspective?
Line 164 (and line 166): The CFM results in Figure 2 do not reproduce the in situ variability at the top of the firn profile. What aspect of the CFM density profile is it that the authors are using to deem the agreement with the in situ profile reasonable? Is it simply the mean density?
Line 239: What degree of vertical offset (i.e., +/-15 cm?) do the authors allow between the CFM density peaks and the active radar peaks for them to be illustrative of a reasonable agreement. How does this compare to the vertical resolution of these two datasets?
Line 311; When applying the iterative method to refine the model parameters, how do the authors define what a reasonable match is? Is there some error level, threshold, or similarity metric the authors use? If so, what is it?
15) Could the authors please clarify how the accumulation rates presented in Table 7 are calculated? Are they an output from the forward modelling of the brightness temperatures or are they simply calculated based on the depth to the assumed 2012 melt layer identified from the Snow Radar measurements?
Technical Corrections
1) Please be consistent with referencing style. Sometimes references appear in square brackets while for others the authors use round brackets (i.e., [] vs ()). There are also some citations (e.g., line 237) with references that are missing publication years. Please follow the TC guidelines for citations.
2) Please ensure consistent symbols throughout the manuscript. For example, ε is used in the equation on line 239 but ∈ is used in lines 240 and 243.
3) Please ensure units are provided for every axis for every figure. There are some figures which have units for every axis (e.g., Figure 1), some with units for one axis only (e.g., Figure 2, Figure 4-7), and some without units completely (e.g., Figure 12).
4) Please modify Figure 4 as radar echograms are typically presented with distance along the x-axis and depth along the y-axis. Furthermore, I would recommend highlighting the exact portions of the echograms the individual profiles are pulled from. Finally, since the authors average echo profiles over one-kilometer sections, I would suggest denoting the x-axis of the modified echogram in groundtrack distance as opposed to latitude. I think this will be more intuitive for the reader as to how much averaging is done.
5) Please explicitly label subfigures (i.e., a, b, c, d, …) instead of using positional cues (i.e., top-left, right-most, etc.).
6) Please follow the TC guidelines on numbering manuscript subsections in Section 5.
7) Please ensure that the CReSIS Snow Radar is capitalized when appropriate as it is the formal name for the system.
8) Please ensure the labelling and captions for each figure is correct. For example, the label on the right side of Figure 6 appears incorrect as well as the caption. I assume this should be point 4?
9) Please be consistent in how the amplitude of the active radar data are expressed. The echogram as part of Figure 4 presents the data in dB while all other plots (Figures 4-7) seem to present linear amplitudes. I would recommend plotting everything in dB as this is the more conventional representation for these data.
10) Please follow the TC guidelines with regards to labeling equations.
11) Please follow the TC guidelines with regards to unit notation (i.e., with negative exponents, non-italicized).
12) Line 247 makes reference to a “region 1” that seems to be associated with Figure 8; however there is no region 1 identified in Figure 8 so I am unsure to what the authors are referring.
13) Please use consistent notation in Table 5 as is used in the text (i.e., what is corlp?). Also, please use a consistent font size within the table.
14) Please use a consistent Table style following the TC guidelines.
15) “frin” line 71
16) Instead of just the bandwidth, please provide the actual upper and lower frequency bounds for Snow Radar signals on line 84 as is done on line 172.
17) Units are missing for the depth in line 221.
18) There is an extra colon in line 233.
19) There is an extra colon in line 279.
20) Please provide units for the reflection amplitudes on line 280.
21) There is an extra colon in line 282.
22) There is a space missing on line 316 (i.e., "aslp" compared to "as lp").
23) Please fix the legend in for the Point 3 subplot in Figure 13 to match the rest of the subplots.
Citation: https://doi.org/10.5194/egusphere-2022-698-RC1 - AC1: 'Reply on RC1', Haokui Xu, 09 Dec 2022
-
RC2: 'Comment on egusphere-2022-698', Anonymous Referee #2, 10 Oct 2022
General Comments
This is an interesting paper that combines the new Community Firn Model (CFM) with active (Snow Radar) and passive (UWBRAD and SMOS) microwave observations and an emission model to characterize firn stratigraphy at high-elevation sites in Greenland and Antarctica. The CFM is used to simulate density measurements. The SnowRadar is used to detect and then characterize high-density layers within the firn. Density profiles and high-density layers are used as inputs into the emission model. Model results are then compared to the microwave observations.
The topic and scope of the manuscript is relevant to the Cryosphere. However, as pointed out by Reviewer #1, the paper (1) lacks a coherent structure to guide the reader though the analysis, and (2) lacks a discussion about the results and the overall broader relevance of the study to the field. I would strongly suggest a major revision to improve the readability of the manuscript.
Specific Comments:
Reviewer #1 did an ~excellent job~ at pointing out most of the major issues in this paper in Specific Comments (1, 3-15). I don’t have too much more to add to this.
I would only disagree with Reviewer 1 on Specific Comments (2) – on detailed comparisons with Houtz et al. (2019, 2021) and Mousavi et al. (2021). Although there may be some similarities in the emission models, the focus of those studies is detecting meltwater in the lower-elevation percolation and ablation zone. This study focuses on high-elevation sites in what is typically the dry snow zone, which in some year’s experiences extreme melt events. I don’t think the comparison would be particularly relevant or useful.
1 -The introduction is too long, particularly compared with the length of the other sections and the overall manuscript.
I think much of the information in the introduction could more effectively be distributed into the main text. Specifically, following line 66 (In this paper…). For example, the details of the UWBRAD instrument, the CFM, and the Snow Radar. Following these descriptions, there is a relatively detailed description of the model.
A critical concept that is somewhat missed in the introduction, and a significant strength of the method, is the concept of refreezing high-density layers. Over the last decade, extreme melt events in the interior of Greenland have become more frequent, with melting detected at Summit in 2012, 2019, 2021(including rain!). These melting trends will likely continue, which will routinely bury high-density layers in the firn, and ultimately alter the interior structure of the ice sheet, which has mass balance implications.
From the perspective of EM modeling, typical dry snow models with layered firn will need to be adapted to account for these high-density layers, which can range from simple ice layers (this paper), to layers formed via shallow or deep vertical percolation of meltwater, with larger, vertically distributed ice structures (e.g.,
- C. Jezek et al., "500–2000-MHz Brightness Temperature Spectra of the Northwestern Greenland Ice Sheet," in IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 3, pp. 1485-1496, March 2018, doi: 10.1109/TGRS.2017.2764381.)
Line 56 states: The strongest echoes in a radar echogram, for example, show the position of abrupt permittivity changes that usually correspond to the position of refrozen melt layers (Jezek and others, 1994; Zabel and others, 1995). An alternate or additional reference with high-density layers that are closer in structure to what you might find in cross-over sites is
Culberg, R., Schroeder, D.M. & Chu, W. Extreme melt season ice layers reduce firn permeability across Greenland. Nat Commun 12, 2336 (2021). https://doi.org/10.1038/s41467-021-22656-5.
2 -The manuscript structure is difficult to follow.
I agree with Reviewer #1’s suggestion for a more formal structure: Introduction → Methods → Results → Discussion → Conclusions. Some suggestions: I might start with a flowchart linking models with the data sets. I might next introduce the model – which nicely provides the emission concept (Fig. 8) and instantly clarifies to the reader the objective. I might then follow with the details of the input data. Then the model results. Then comparisons with UWBRAD data for Greenland only (#3 below). Then a strong discussion which is currently missing from the manuscript.
3 -The paper would be much stronger if it focused on just Greenland.
The Antarctica comparison seems out of place in the manuscript. The paper starts out with a model that includes high-density layers, and data from the CFM, the SNOW RADAR, and UWBRAD over Greenland. The paper then shifts gear to Dome C, a site where high-density layers do not form, and a model comparison with a different instrument (SMOS). Perhaps the general idea was to compare sites with different firn characteristics. If that were the case, it would be more straightforward from the perspective of the reader to include a UWBRAD comparison between sites (UWBRAD data was collected at Dome C) or a SMOS comparison between sites. But, I don’t think that this comparison is needed for this manuscript, Greenland, with a strong discussion section, is sufficient.
4 - The manuscript lacks a discussion section that describes the study relevance.
Technical Corrections
Line 14 - locations in the Greenland Ice Sheet - > locations on the Greenland Ice Sheet
Line 14 - and at the Dome C location - > and at Dome C
Line 15 - Borehole in situ measurements - > Borehole measurements
Line 65 - Kirchhoff’s Law[Tsang 2001] - > add space
Line 131 - T41(71.08N,37.92W) - > add space
Line 140 - Summit station, Greenland - > Summit Station, Greenland
Line 147 - from Neutron Probe of Morris and Wingham, 2011 - >
from the Neutron Probe Morris and Wingham, (2011)
Line 153 - 9.4cm - > space
Line 160 - In-situ Measurements - > in situ measurements
Line 180 - X-Ray - > X-ray, also throughout text
Line 184 – Table 3: Latitude and Longitude for crossover points of 2017 UWBRAD and Snow Radar Measurements - > Table 3: Latitude and longitude for crossover points of 2017 UWBRAD and Snow Radar measurements
Figure 4, 5, 6 – Sizes of plots are different (Fig. 4) – please correct. Reverse x- and y- axes, so density is vertical, which is the typical orientation.
Line 276 - Tan et al 2020 – Tan et al., (2020)
Line 279 - Figure 9: - > remove colon
Line 282 - Figure 10: - > remove colon
Lines 290 - ð. ðð(0.35g/cm^3 in density) - > add space
There are many places with issues with spaces (or lack of spaces), punctuation (especially random colons), notation, un-needed capitalization (particularly in table and figure captions). Please give the manuscript a ~very careful review~ for these issues during the revision.
Citation: https://doi.org/10.5194/egusphere-2022-698-RC2 - AC2: 'Reply on RC2', Haokui Xu, 09 Dec 2022
Peer review completion
Journal article(s) based on this preprint
Viewed
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 388 | 142 | 20 | 550 | 8 | 7 |
- HTML: 388
- PDF: 142
- XML: 20
- Total: 550
- BibTeX: 8
- EndNote: 7
Viewed (geographical distribution)
| Country | # | Views | % |
|---|---|---|---|
| United States of America | 1 | 210 | 39 |
| China | 2 | 57 | 10 |
| Germany | 3 | 38 | 7 |
| Denmark | 4 | 27 | 5 |
| France | 5 | 27 | 5 |
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
- 210
Cited
Haokui Xu
Brooke Medley
Leung Tsang
Joel T. Johnson
Kenneth Jezek
Macro Brogioni
Lars Kaleschke
The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.
- Preprint
(1693 KB) - Metadata XML