2021
DOI: 10.2166/ws.2021.166
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Effect of warming climate on extreme daily rainfall depth using non-stationary Gumbel model with temperature co-variate

Abstract: In this study, non-stationary frequency analysis was carried out to apply non-stationarity of extreme rainfall driven by climate change using the scale parameter of two parameters of the Gumbel distribution (GUM) as a co-variate function. The surface air temperature (SAT) or dew-point temperature (DPT) is applied as the co-variate. The optimal model was selected by comparing AICs, and 17 of 60 sites were found to be suitable for the non-stationary GUM model. In addition, SAT was chosen as the more appropriate … Show more

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