Geostatistical assessment of warm-season precipitation  observations in Korea based on the composite  precipitation and satellite water vapor data

Park, Sojung; Park, Seon Ki; Lee, Jeung Whan; Park, Yunho

doi:https://doi.org/10.5194/hess-22-3435-2018

Articles | Volume 22, issue 6

https://doi.org/10.5194/hess-22-3435-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-22-3435-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 22, issue 6

Research article

|

27 Jun 2018

Research article |

| 27 Jun 2018

Geostatistical assessment of warm-season precipitation observations in Korea based on the composite precipitation and satellite water vapor data

Sojung Park, Seon Ki Park, Jeung Whan Lee, and Yunho Park

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Final revised paper (published on 27 Jun 2018)
Preprint (discussion started on 12 Mar 2018)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'comments on "Geostatistical assessment of summertime rainfall observations in Korea based on composite precipitation and satellite water vapor data"', Xing Yu, 28 Mar 2018
- AC1: 'Reply to the Comments by Referee #1', Seon Ki Park, 07 May 2018
RC2: 'Review Comments', Anonymous Referee #2, 03 Apr 2018
- AC2: 'Reply to the Comments by Referee #2', Seon Ki Park, 07 May 2018
RC3: 'Review of the manuscript "Geostatistical assessment of summertime rainfall .." by S. Park and co-authors', Anonymous Referee #3, 10 Apr 2018
- AC3: 'Reply to the Comments by Referee #3', Seon Ki Park, 07 May 2018

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

ED: Publish subject to minor revisions (further review by editor) (18 May 2018) by Luis Samaniego

AR by Seon Ki Park on behalf of the Authors (28 May 2018) Author's response Manuscript

ED: Publish as is (06 Jun 2018) by Luis Samaniego

Short summary

Understanding the precipitation characteristics is essential to design an optimal observation network. We studied the spatial and temporal characteristics of summertime precipitation systems in Korea via geostatistical analyses on the ground-based precipitation and satellite water vapor data. We found that, under a strict standard, an observation network with higher resolution is required in local areas with frequent heavy rainfalls, depending on directional features of precipitation systems.