Next Article in Journal
Building Change Detection with Deep Learning by Fusing Spectral and Texture Features of Multisource Remote Sensing Images: A GF-1 and Sentinel 2B Data Case
Previous Article in Journal
Benchmark for Building Segmentation on Up-Scaled Sentinel-2 Imagery
 
 
Article
Peer-Review Record

Precipitation Characteristics across the Three River Headwaters Region of the Tibetan Plateau: A Comparison between Multiple Datasets

Remote Sens. 2023, 15(9), 2352; https://doi.org/10.3390/rs15092352
by Juan Du 1, Xiaojing Yu 2, Li Zhou 1,3, Yufeng Ren 4 and Tianqi Ao 1,3,*
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Reviewer 3:
Remote Sens. 2023, 15(9), 2352; https://doi.org/10.3390/rs15092352
Submission received: 22 February 2023 / Revised: 23 April 2023 / Accepted: 27 April 2023 / Published: 29 April 2023
(This article belongs to the Section Atmospheric Remote Sensing)

Round 1

Reviewer 1 Report

Please refer to the supplementary PDF file for detailed information.

Comments for author File: Comments.pdf

Author Response

Thanks for your suggestions. Please see the attachment.

Author Response File: Author Response.docx

Reviewer 2 Report

The ms of Du et al. presents a comparison of six precipitation datasets (gauge-based gridded-, reanalysis-, and satellite-derived) versus one observational dataset (CN05.1) with respect to multiple aspects/indices. The TRH region of the Tibetan Plateau is one of interest, an area providing more than half of the water supply of three important rivers, and an important world ecosystem.

The results could help for other similar regions worldwide: harsh geographical conditions and sparse rain gauge networks but not only. It shows that such a comparison is first necessary when it is desired to simulate future regional precipitation regimes in order to choose the most appropriate dataset.

Nice article: introduction-ok, specific questions were clearly posed, the databases used and the assessment metrics-clearly explained, conclusions are supported by the results; discussion section address comparison with other studies; synthesis of the results in Taylor diagrams in Figures 5 and 12 is very useful.

 

A question I have is why the authors used the period of study ending in 2014 and they did not go until 2020 or 2021? Is this related to have a common period for all databases? Other reason?

 Minor comments and suggestions:

-page 2, line 67: please add the year of the reference You et al;

-page 2, line 70: please add the year of the reference Tan et al;

-page 2, lines 70-71: please add "precipitation products” for APHRODITE, CHIRPS and PERSIAN-CDR and explain their acronyms

-page 16, line 384 and 385: please add the year of the reference Yao et al. and Back et al.

Author Response

Thanks for your suggestions. Please see the attachment.

Author Response File: Author Response.docx

Reviewer 3 Report

Minor comments;

Line 22-25 " The results indicate that all datasets agree well in reproducing the climatology, interannual variability, and annual cycle of precipitation in the TRH region. However, the long-term trends and extreme precipitation events show significant discrepancies ". Kindly rephrase the statement to enhance its clarity.

 

Line 220 “P-CDR loses its advantage in capturing the spatial pattern of the interannual variability (PCC = 0.63). “ Please substitute the phrase "loses its advantage" with terminology that is more scientific in nature.

 

Line 455-456 "The results will improve our understanding of the precipitation characteristics of the TRH region and facilitate further research on hydrometeorological hazards in the area.

The statement lacks clarity. Kindly elaborate and clarify it further.

Author Response

Thanks for your suggestions. Please see the attachment.

Author Response File: Author Response.docx

Back to TopTop