Prediction of Sea Surface Reflectivity under Different Sea Conditions Based on the Clustering of Marine Environmental Parameters

Round 1

Reviewer 1 Report

Comments and Suggestions for Authors

Paper is good  some minor edits are needed - see attached

paper is good in description and methodology

Comments for author File: Comments.pdf

Comments on the Quality of English Language

the English language is quite good and only needs minor corrections

Author Response

请参阅附件。

Author Response File: Author Response.docx

Reviewer 2 Report

Comments and Suggestions for Authors

The paper addresses statistical learning of sea surface reflectivity in terms of sea states and wave classes. The paper is well written and interesting to follow. It remains several details to add so that the paper could be accepted. Here follows our suggestions:

-        -  The wave cambrure, the ratio H/lambda (weight height by wavelength) could be considered. Because when H/lambda exceeds 1/7 the wave breaks (beginning of page 3).

-         -  K-distribution shape could be detailed line 154.

-          - A name for the 4 levels of sea state could be given (Table1).

-          - Sigma_phi in eq (5) could be defined, like K_d in eq (8).

-          - 8:2 could be explained lines 339 and 385.

-          - Caption Table 3 is caption Table 1.

-          - The dimensionless of the 3 components could be detailed in Figure 6.

-          - It is unclear if Tables 4 and 5 are outputs from learning or inputs.

-          - Unit of Fig7(e) is unclear.

-          - The six class of wave structure could be named, like the 4 names for sea states.

-          - Unit of range could be given in Fig 16.

-          - Too many times “wave height, maximum wave height, wave period, maximum wave period, and wind speed” is mentioned during the paper.

-          - Refs 4 and 16 could be refined.

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Reviewer 3 Report

Comments and Suggestions for Authors

Line 514: add a space after Table 6

Author Response

Please see the attachment.

Reviewer 4 Report

Comments and Suggestions for Authors

This paper studies the data clustering and prediction of sea surface reflectivity under different sea conditions. The proposed approach has higher precision prediction of sea clutter reflectivity in the Yellow Sea area. 1. The description of the data used in this study should be clearer. For example, in Figure 1, whether the sample number corresponds to time or range? What criteria are used to distinguish the sea state levels? 2. What do the components of PCA after dimensionality reduction represent? What does the spatial distribution of multiple marine environmental parameters reflect in Figure 3? 3. It is suggested to give the prediction of the sea clutter reflectivity for comparison with the observations.

Comments on the Quality of English Language

The quality of English language is fine.

Author Response

请参阅附件。

Author Response File: Author Response.docx