Abstract
Abstract. This study assesses the temporal behaviour in terms of inter-decadal variability of extreme daily rainfall of stated return period relevant for hydrologic risk analysis using a novel regional parametric approach. The assessment is carried out based on annual maximum daily rainfall series of 180 meteorological stations of Yangtze River Basin over a 50-year period (1961–2010). The outcomes of the analysis reveal that while there were effects present indicating higher quantile values when estimated from data of the 1990s, it is found not to be noteworthy to exclude the data of any decade from the extreme rainfall estimation process for hydrologic risk analysis.
Highlights
The temporal assessment of rainfall extremes is necessary to understand its temporal behavior which will lead to better assess the frequency of extreme rainfall under climate change, and subsequently the flood risk
This study introduces a new parametric approach to assess the temporal variability of rainfall extremes for the Yangtze River Basin, a major development area of China
This study examines the decadal variability in daily annual maximum (AM) rainfall series of Yangtze River Basin over a 50-year period (1961–2010) with a novel regional parametric approach
Summary
The temporal assessment of rainfall extremes is necessary to understand its temporal behavior which will lead to better assess the frequency of extreme rainfall under climate change, and subsequently the flood risk. Since the climate change (e.g. IPCC, 1995) phenomena emerges, a large number of studies appear to find its impact on rainfall. A substantial research was carried out on rainfall extremes (Bülow et al, 2015; Das et al, 2013; Feng et al, 2007; Ntegeka and Willems, 2008; Su et al, 2008; Tabari et al, 2014; Zhang et al, 2008) as they impact the society most. The outcome is not one dimensional- a significant variability is observed in some regions whereas in some cases, a number of regions do not show much variation that prove to be significant (e.g. Alexander et al, 2006; Damberg and AghaKouchak, 2014; Feng et al, 2007). A regional behavior is recognized in those studies (Alexander et al, 2006)
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