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Article
Peer-Review Record

CryoSat-2 Significant Wave Height in Polar Oceans Derived Using a Semi-Analytical Model of Synthetic Aperture Radar 2011–2019

Remote Sens. 2021, 13(20), 4166; https://doi.org/10.3390/rs13204166
by Harold Heorton 1,*,†, Michel Tsamados 1,†, Thomas Armitage 2,†, Andy Ridout 1,† and Jack Landy 3,4,†
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Reviewer 3: Anonymous
Remote Sens. 2021, 13(20), 4166; https://doi.org/10.3390/rs13204166
Submission received: 20 August 2021 / Revised: 24 September 2021 / Accepted: 27 September 2021 / Published: 18 October 2021
(This article belongs to the Special Issue Remote Sensing of Changing Arctic Sea Ice)

Round 1

Reviewer 1 Report

CryoSat-2 significant wave height in the Arctic Ocean derived using a semi-analytical model of Synthetic Aperture Radar 2011-2019. This paper presents an interesting exploration of using a semi-analytical waveform model to retrieve sea surface wave height from CryoSat-2 data. This paper is well written and structured, the methodologies are well described, and result properly discussed. The paper can be accepted for publication subject to minor revisions.

Comments:

1. In this study, the waveform data from LRM and SAR were downsampled from 20 Hz to 1 Hz by taking the mean echo power. This process seems to help obtain more stable SWH values, as in Figure 2 the retrieved SWH from 20 Hz data is more scattered than that from 1 Hz. It’s suggested that more comparisons between 1 Hz and 20 Hz are needed as done in Figure 1.

2. Section 3.8 Full Antarctic data set: since the title has indicated that the study area is in the Arctic Ocean and the retrieved surface wave heights were validated in the Arctic Ocean not in the Antarctic Ocean, this section could be eliminated.

3. Line 196-198: Please check the grammar of the sentence.

4. Page 7 in Figure 1: “The location of each wave is plotted in the same colors in figure 31”, where is the figure 31?

5. Line 311-314, “We find all satellite data records within 100 km of each buoy and take all the buoy wave height measurements within 3 hours of each passing satellite track.” In this study, the SWH values are gridded at a resolution of 100 km resolution to obtain daily data. However, for validation, is it possible to use a finer resolution, such as 50 km or 25 km to reduce the spatial variation?

6. Page 12 in Figure 7: There are three lines in the right plot, please add more explanation to the three lines.

7. Page 13 Equation (7): The second row (−0.1057 + 1.0058)?

8. Line 358: How the equation SWHLc = 0.38 + sL/1.07 was obtained? Please clarify.

9. Line 446: “it’s” should be “its”?

Author Response

Please see attachment

Author Response File: Author Response.pdf

Reviewer 2 Report

Please find my comments in the attached file.

Comments for author File: Comments.pdf

Author Response

Please see attachment

Author Response File: Author Response.pdf

Reviewer 3 Report

This paper provides an alternative method to estimate significant wave heights in an area where they are hard to obtain due to the large amount of contamination from sea ice in the radar echoes, which makes physical models fails. The method is validated using both other methods and in situ buoy data in the entire Arctic Ocean. The method is able to derive SWH estimates accurately and efficiently, even though the study area is challenging. 

 

I enjoyed reading the paper. The method is well explained and the experiments are fitting and thorough. I just don’t understand the choice of SAMOSA2 vs SAMOSA+. You are choosing the fully analytical version of SAMOSA, which is bound to fail and provide fewer estimates in the Arctic, and you also mention it’s lower efficiency. I think it is an unfair comparison. You need to at least let the reader know that another, more appropriate, version exists, and tell them why you are moving forward with this version.

For consistency, you need to decide whether to write PseudoLRM, Pseudo-LRM, Pseudo LRM, PLRM, pLRM etc. Do the same with Level 1-b/B

And I think it would be suitable if you put the method in context with other missions and areas. Is it only relevant for CryoSat-2 and in the Arctic/Antarctic regions? 

33: disapates -> dissipates

34:  Missing space after .

41: , -> .

74: C2 -> CS2

75: PsuedoLRM -> Pseudo-LRM (PLRM)

77: Croysat-2 -> CryoSat-2

87: in depth -> in-depth

88: is -> are

93: atlimetry -> altimetry

94: update reference

98: wave -> waveforms

104: is -> in

106: section3.4 -> section 3.4

117: update reference

123: update K7 reference

126: Radar -> radar

130: et al -> et al.

133: instruments -> instrument

Table 1: New ->new

140: can described ->can be described

142: scatters -> scatterers

145: equations -> equation

Table 2: semi analytical -> semi-analytical

168+172: et al -> et al.

178: ellipsisity -> ellipticity

180: 4 -> four

182: Rads [20] who retrack -> RADS [20] which retracks

183+184: Psuedo -> Pseudo

184: use the same retracking -> be retracked using the

195: Sentinel -> Sentinel-3

202: 51 beam SAR echo -> 51 SAR echoes? Not clear.

212: 5 -> (5)

219: Why is more SAR mode data being removed?

Figure 1: psuedo –> pseudo

231: in depth -> in-depth

237: wave forms -> waveforms

242: Psuedo -> Pseudo

242: 1 -> Figure 1

242: wave form -> waveform

246: For the the -> For the , the just ->just the

250: that of -> than

252: waves -> waveforms

Figure 2: north -> North, comped ->compared?

257: in depth -> in-depth

259: in figure showing -> with

270: bias’ -> biases

277: Ice -> ice

282: he -> the

Figure 5: Why is the extent of ECMWF the same as SAMOSA?

339: gird -> grid

Figure 8: onto a 100 km before -> onto a 100 km grid before

 

372: summaries -> summarise

Figure 10: season -> seasonal, interanual ->interannual

Figure 12: What is Figure S1?

 

446: it’s -> its, in-situ-observations -> in-situ observations

 

 

 

 

 

 

Author Response

Please see attachment

Author Response File: Author Response.pdf

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