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Peer-Review Record

Complex Principal Component Analysis of Antarctic Ice Sheet Mass Balance

Remote Sens. 2021, 13(3), 480; https://doi.org/10.3390/rs13030480
by Jingang Zhan 1,*, Hongling Shi 1, Yong Wang 1 and Yixin Yao 2
Reviewer 1:
Reviewer 2: Anonymous
Reviewer 3: Anonymous
Remote Sens. 2021, 13(3), 480; https://doi.org/10.3390/rs13030480
Submission received: 22 December 2020 / Revised: 24 January 2021 / Accepted: 27 January 2021 / Published: 29 January 2021

Round 1

Reviewer 1 Report

Please see attached document.

Comments for author File: Comments.pdf

Author Response

Please see the attachment

Author Response File: Author Response.pdf

Reviewer 2 Report

This paper was well-written and its topic, the evolution of the Antarctic ice volume over time, is very significant and of interest to many readers.  The authors use an interesting method, using complex Principal Components Analysis (CPCA), followed by wavelet analysis, to analyze the ice volume trends.  Although the background theory behind CPCA is explained in the introductory sections of this paper, the same cannot be said for wavelet analysis.  Although wavelet analysis is well-known, I still think it would be good to include a brief background on this topic so that the unacquainted reader can still understand the results and methodology. Otherwise, I think this paper was of high quality, and is almost ready for publication.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 3 Report

I have found the manuscript interesting, quite original and quite well organized.

See very minor spelling corrections in the attached file

Comments for author File: Comments.pdf

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

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