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Volume 11
Issue 8
10.3390/atmos11080772
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Peer-Review Record

End of the Day (EOD) Judgment for Daily Rain-Gauge Data

Atmosphere 2020, 11(8), 772; https://doi.org/10.3390/atmos11080772
by Akiyo Yatagai 1,*, Mio Maeda 1, Sunilkumar Khadgarai 2, Minami Masuda 1 and Pingping Xie 3
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Atmosphere 2020, 11(8), 772; https://doi.org/10.3390/atmos11080772
Submission received: 27 June 2020 / Revised: 14 July 2020 / Accepted: 17 July 2020 / Published: 22 July 2020
(This article belongs to the Special Issue Development of Precise Indexes for Assessing the Potential Impacts of Climate Change)

Round 1

Reviewer 1 Report

The manuscript represents an important information for multiple users of the APHRODITE daily precipitation data set.

A novel approach is described how to determine the end of the day (EOD) stamp for different national and international daily precipitation data sets within the Asian Monsoon Domain with the help of satellite-based CMORPH and ERA-Interim products.

The authors show that a correct determination of the EOD stamp affects the following analyses of  extreme rainfall as well as gridded precipitation products over the Domain.  Publication of this manuscript is recommended.

Minor note to Figure 7c: Please, indicate which colors stand for YES and NO in this plate.

Author Response

Dear Reviewer-1,

Thank you very much for positively evaluated our draft. Regarding Figure 7c, we admit that "YES" and "NO" marks were too small to recognize. According to your comment, we added "Y" and "N" near each bar in Figure 7c. 

Reviewer 2 Report

First of all, the authors' production of high quality rainfall datasets (APHRODITE-2) is a significant contribution to the hydrological as well as the broader scientific community. I respect their efforts. In addition, I am grateful for the opportunity to be the first to read such a very interesting paper.

This paper proposes a new approach to determine the EOD timestamp of rain gauge data from around the world and its effectiveness has been quantitatively demonstrated. I think there are no significant errors in the content. This paper suggests that the EOD timestamp has a significant impact on the extreme statistics and their proposed method has potentially.

I have one minor suggestion that Figure 2 should be modified, because it is difficult to understand.

Author Response

Dear Reviewer-2,

Thank you very much for positively evaluating our efforts and our draft. 

According to your comment, we modified both Figure 2a and Figure 2b to be simpler and clearer. We omitted ERA-interim in Figure 2b. In addition, we added "EOD" in addition to "SOD" in Figure 3, so that  Figure 2b became simpler. 

 

 

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