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Article
Peer-Review Record

Preprocessing of Gravity Data

Computation 2022, 10(6), 82; https://doi.org/10.3390/computation10060082
by Jana Izvoltova 1,*, Dasa Bacova 1, Jakub Chromcak 1 and Stanislav Hodas 2
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Computation 2022, 10(6), 82; https://doi.org/10.3390/computation10060082
Submission received: 1 April 2022 / Revised: 6 May 2022 / Accepted: 18 May 2022 / Published: 27 May 2022

Round 1

Reviewer 1 Report

Dear Authors,

  Thank you very much for pay close attention on this important topic that are usually omitted by many researchers. It is a good start and has many potentials.

There is only one thing that I would like to remind the authors. That is use wavelets to de-noising. This is not the "classical" smooth technique, and deserved to be mentioned at least in the introduction part, I think. 

Please find some minor suggestions in the attached pdf.

Comments for author File: Comments.pdf

Author Response

Reply to Reviewer 2

All responses to Reviewer 2 are involved in the attached manuscript by the method of MS Word Revision and Comments. The answers are highlighted in red colour on a yellow background.

At the Reviewer‘s 2 suggestion, two references [11] and [12] were included and the others were subsequently renumbered

Author Response File: Author Response.pdf

Reviewer 2 Report

The main task of the paper is to apply a reliable smoothing technique for the time series analysis of a gravity dataset. As a result, the most suitable for gravity data seems to be the nonlinear least-squares’ regression. However, some minor revisions should be made, in order to improve the manuscript before publication, as follows:

 

  • Lines 13-20: The first half of the “Abstract” can be part of the Introduction. Useful information for the Abstract is included in Section 5. (Discussion).
  • Lines 68-69, 71-72: The index k should be explained better.
  • Line 84: The formula for the “Moving median” (MM) must be included.
  • Line 94: The last column “SMOOTHED GRAV.” must be explained.
  • Line 110: The correct is “intervals.”.
  • Line 126-130: The parameter t of formula (7) must be defined quantitatively.
  • Line 153: The last symbol of equation (8) must be defined clearly.
  • Line 154: The unknown regression parameters as drift and tidal parameters of gravity data and their relevant variance components which have been estimated by the least square method must be presented in a new Table. These parameters have been used in Figure 2.

Author Response

Reply to Reviewer 2

All responses to Reviewer 3 are involved in the attached manuscript by the method of MS Word Revision and Comments. The answers are highlighted in red colour.

At the Reviewer‘s 3 suggestion, Table 3 was included and equations (5) and (6) were inserted therefore the other formulas were renumbered

Author Response File: Author Response.pdf

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