Statistical distributions of flood peak discharge often show heavy tail behavior, that is,
extreme floods are more likely to occur than would be predicted by commonly used …

Future rainfall extremes are projected to increase with global warming according to theory
and climate models, but common (annual) and rare (decennial or centennial) extremes …

The metastatistical extreme value approach proved promising in the frequency analysis of
daily precipitation from ordinary events, outperforming traditional methods based on …

The yearly exceedance probability of extreme precipitation of multiple durations is crucial for
infrastructure design, risk management, and policymaking. Local extremes emerge from the …

The implementation of nonstationary hydrological frequency analysis (NS-HFA) has often
been hampered by the relatively short datasets and the resulting high uncertainty. Most …

The accurate estimation of hydrologic extremes is central to planning and engineering
mitigation and adaptation measures. The traditional extreme value theory is based on often …

Daily precipitation extremes are projected to intensify with increasing moisture under global
warming following the Clausius-Clapeyron (CC) relationship at about 7%/∘ C. However, this …

Tropical cyclones (TCs) generate extreme precipitation with severe impacts across large
coastal and inland areas, calling for accurate frequency estimation methods. Statistical …

Classic extreme value theory provides asymptotic distributions of block maxima (BM) Y or
peaks over threshold (POT). However, as BM and POT are relatively small subsets of the …

The study has modeled shoreline changes by using a multilayer perceptron (MLP) neural
network with the data collected from five beaches in southern Taiwan. The data included …