Articles | Volume 24, issue 11
https://doi.org/10.5194/hess-24-5077-2020
https://doi.org/10.5194/hess-24-5077-2020
Research article
 | 
03 Nov 2020
Research article |  | 03 Nov 2020

Uncertainty in nonstationary frequency analysis of South Korea's daily rainfall peak over threshold excesses associated with covariates

Okjeong Lee, Jeonghyeon Choi, Jeongeun Won, and Sangdan Kim

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (11 Jul 2020) by Louise Slater
AR by Lee Okjeong on behalf of the Authors (02 Aug 2020)  Author's response 
ED: Referee Nomination & Report Request started (14 Aug 2020) by Louise Slater
RR by Anonymous Referee #1 (05 Sep 2020)
RR by Anonymous Referee #2 (17 Sep 2020)
ED: Publish subject to technical corrections (17 Sep 2020) by Louise Slater
AR by Lee Okjeong on behalf of the Authors (22 Sep 2020)  Manuscript 
Download
Short summary
The uncertainty of the model interpreting rainfall extremes with temperature is analyzed. The performance of the model focuses on the reliability of the output. It has been found that the selection of temperatures suitable for extreme levels plays an important role in improving model reliability. Based on this, a methodology is proposed to quantify the degree of uncertainty inherent in the change in rainfall extremes due to global warming.