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Peer-Review Record

Future Projection for Wave Climate around Taiwan Using Weather-Type Statistical Downscaling Method

J. Mar. Sci. Eng. 2022, 10(12), 1823; https://doi.org/10.3390/jmse10121823
by Wei-Shiun Lu 1, Chi-Hsiang Tseng 1, Shih-Chun Hsiao 1,*, Wen-Son Chiang 2 and Kai-Cheng Hu 2
Reviewer 1: Anonymous
Reviewer 2:
J. Mar. Sci. Eng. 2022, 10(12), 1823; https://doi.org/10.3390/jmse10121823
Submission received: 13 October 2022 / Revised: 18 November 2022 / Accepted: 22 November 2022 / Published: 28 November 2022
(This article belongs to the Section Physical Oceanography)

Round 1

Reviewer 1 Report


Comments for author File: Comments.pdf

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

Article reference: jmse-1997080

Title: Future Projection for Wave Climate around Taiwan Using Weather-Type Statistical Downscaling method

Author(s): Wei-Shiun Lu, Chi-Hsiang Tseng, Shih-Chun Hsiao, Wen-Son Chiang and Kai-Cheng Hu

 

The authors present the result of a study aims to apply the weather type-downscaling model for the coastal waters around Taiwan to shed light on the impact of climate change on future wave climate and change of significant wave height. The analysis is very interesting, it is carried out in a specific location in the west and south of Taiwan, conducted for different seasons. The validation results is based on the reference period (1980-2004). The location is one of the coasts with the fastest topographic changes. They found that these validations are best in the west and south of Taiwan, where the correlation coefficients are up to 0.78-0.90. Other results, the Annual wave climate change doesn't have significant relationship with the increase of climate change scenarios. Where they assume that the climate conditions in Taiwan are dominated by the monsoon, and the impact of climate change is only in specific seasons.

In general, the manuscript is well written and well presented. The main results are clearly described. I recommend that the paper be included in the published journal. However, I would suggest a number of alterations which I believe necessary to improve the readability of the work, there are few comments to be addressed by the authors:

 

Main comments

1. Authors should supplement the literature on methods for predictor indices and Statistical projections for local wave climate conditions

 2. Your choice of 10 GCMs among the 17 is under what criteria? which are the 10 GCMs chosen

 

Minor comments

1. page 2, line 47: Chien et al., (2014), is not cited in the references

2. page 3, line 47:  Perez et al. (2014) could you differentiate between the two papers of Perez et al. (2014). For example, note Perez et al. (2014a), the same remark for Camus et al., (2014)

 3. page 4, line 154: Wang et al., (2014), is not cited in the references

 4. page 4, line 158: Hegermiller et al., (2017), is not cited in the references

 5. page 9, line 222: you mentioned figure 7, in my opinion it is figure 9

 6. page 20, line 436: Casas-Prat, et al. (2014), is not cited in the text

Comments for author File: Comments.pdf

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Round 2

Reviewer 1 Report

According to the revised version and responses to my review comments, I believe the authors have addressed my concerns and signficantly improved the manuscript. 

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