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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Subject: Hydrometeorology | Techniques and Approaches: Uncertainty analysis
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Cited articles

Abbaspour, K., Yang, J. Maximov, I., Siber, R., Bogner, K., Mieleitner, J., and Srinivasan, R.: Modelling hydrology and water quality in the pre-Alpine/Alpine thur watershed using SWAT, J. Hydrol., 333, 413–430, https://doi.org/10.1016/j.jhydrol.2006.09.014, 2007. 
Agilan, V. and Umamahesh, N. V.: Modelling nonlinear trend for developing non-stationary rainfall intensity–duration–frequency curve, Int. J. Climatol., 37, 1265–1281, https://doi.org/10.1002/joc.4774, 2017a. 
Agilan, V. and Umamahesh, N.: What are the best covariates for developing nonstationary rainfall Intensity-Duration-Frequency relationship?, Adv. Water. Resour., 101, 11–22, https://doi.org/10.1016/j.advwatres.2016.12.016, 2017b. 
Agilan, V. and Umamahesh, N: Covariate and parameter uncertainty in non-stationary rainfall IDF curve, Int. J. Climatol., 38, 365–383, https://doi.org/10.1002/joc.5181, 2018. 
Akaike, H.: A new look at the statistical model identification, IEEE T. Automat. Control, 19, 716–723, https://doi.org/10.1109/TAC.1974.1100705, 1974. 
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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.