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

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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.