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Article
Peer-Review Record

Kilometer-Scale Precipitation Forecasting Utilizing Convolutional Neural Networks: A Case Study of Jiangsu’s Coastal Regions

Hydrology 2024, 11(10), 173; https://doi.org/10.3390/hydrology11100173
by Ninghao Cai 1, Hongchuan Sun 1,2,* and Pengcheng Yan 3
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Reviewer 3: Anonymous
Hydrology 2024, 11(10), 173; https://doi.org/10.3390/hydrology11100173
Submission received: 18 August 2024 / Revised: 7 October 2024 / Accepted: 8 October 2024 / Published: 13 October 2024

Round 1

Reviewer 1 Report

Comments and Suggestions for Authors

Comments on the paper is in the attached file.

Comments for author File: Comments.pdf

Comments on the Quality of English Language

No issues is detected. 

Author Response

Dear reviewer,

Thank you very much for your valuable suggestions. We have revised the manuscript based on your comments. Please refer to the attachment for detailed responses.

Pengcheng Yan

Author Response File: Author Response.docx

Reviewer 2 Report

Comments and Suggestions for Authors

This is a very interesting paper, and the author has effectively applied the methodology, analyzed the data, and presented the findings. However, the following points should be addressed to further enhance the paper:

  1. Introduction: In the final paragraph of the Introduction, please include the specific objectives of this study. Resent reference need to be added.
  2. Figure 1: Add the names of the spatial boundaries for clarity.
  3. Figure 7 (b): The label on the y-axis should read 'Model 1km'.
  4. Discussion: Consider creating a separate Discussion section rather than combining it with the Conclusion. In the Discussion, go beyond just comparing findings; critically analyze them in relation to previous studies, highlighting the significance, uniqueness, and practical applications of your findings and model.
  5. Conclusion: Include the benefits and limitations of the study, as well as suggestions for future research.

 

Addressing these points will strengthen the overall quality of the paper.

Author Response

Dear reviewer,

Thank you very much for your valuable suggestions. We have revised the manuscript based on your comments. Please refer to the attachment for detailed responses.

Pengcheng Yan

Author Response File: Author Response.docx

Reviewer 3 Report

Comments and Suggestions for Authors

Comments to the Authors

Review of manuscript “Kilometer-Scale Precipitation Forecasting Utilizing Convolutional Neural Networks: A Case Study of Jiangsu's Coastal Regions” by Cai et al. Although this topic is interesting in the fields of remote sensing and hydrological research, the paper is not suitable for publication in its current form, since it is yet fully convincing and the authors should address some major issues, as detailed below concerning both the methodology and the results.

 

Major comments

-The writing of the manuscript needs to be refined as it is quite colloquial in tone and the paper would benefit from such an improvement.

 

-The Abstract in particular needs to be re-written. For readers to quickly catch your contribution, it would be better to highlight major original achievements in a clearer way.

 

-The Introduction section in particular needs to be re-written. It is sometimes difficult for the reader to follow the authors' ideas in some parts of the introduction. For example, in the paragraph starting in Line 70, the authors cited some references about transferring learning technology, but these literatures should be better connected to the case study to emphasize the importance and value of this study. Why is this study needed? What new insights does it offer? Justification of the study is not clear.

 

-It is mentioned in section 2.2 that seven meteorological variables are adopted as predictors. What are the advantages of adopting these particular variables over others in this case? How will this affect the results? More details should be furnished.

 

-Did the author set some hyperparameters to prevent the CNN model from overfitting?

 

Specific comments

-Line 23: Which numerical model?

 

-Line 25-35: These sentences are very unclear. Is CNN a statistical downscaling method or a dynamic downscaling method?

 

-Line 118: Please provide detailed information on the numerical model data.

 

-Line 150-156: These sentences are very unclear.

 

-Figure 1: The author should provide the distribution information of cities in Jiangsu Province in Figure 1.

 

-Figure 3: What do VPV and HPV mean?

 

-Figure 4: Which interpolation method did the author use to convert the gauge-based precipitation to areal precipitation information? More justification should be given.

 

 

-Figure 6: Is precipitation intensity or total mount? More justification should be given.

Comments on the Quality of English Language

The writing of the manuscript needs to be refined as it is quite colloquial in tone and the paper would benefit from such an improvement.

Author Response

Dear reviewer,

Thank you very much for your valuable suggestions. We have revised the manuscript based on your comments. Please refer to the attachment for detailed responses.

Pengcheng Yan

Author Response File: Author Response.docx

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