Uncertainty of Rate of Change in Korean Future Rainfall Extremes Using Non-Stationary GEV Model

Interest in future rainfall extremes is increasing, but the lack of consistency in the future rainfall extremes outputs simulated in climate models increases the difficulty of establishing climate change adaptation measures for floods. In this study, a methodology is proposed to investigate future r...

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Главные авторы:	Jiyu Seo, Jeongeun Won, Jeonghyeon Choi, Jungmin Lee, Suhyung Jang, Okjeong Lee, Sangdan Kim
Формат:	Artigo
Язык:	Inglês
Опубликовано:	MDPI AG 2021-02-01
Серии:	Atmosphere
Предметы:	Bayesian inference climate change GEV distribution non-stationarity rainfall extremes rate of change
Online-ссылка:	https://www.mdpi.com/2073-4433/12/2/227
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