Abstract The software EXTRASTAR (EXTRemes Abacus for STAtistical Regionalization) is
here proposed. It can represent a useful and quick tool for both regional and at-site statistical …

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

An accurate description of hub-height wind speed characteristics is indispensable to
offshore wind resource assessment and structure reliability analysis. However, given the …

The nonstationary flood frequency analysis (NS-FFA) is conducted when the assumption of
stationarity in hydrologic extremes is violated. The commonly used approach is the …

Research on hydrological extremes has increased due to their increasing frequency and
destructive power, with their non-stationarity attributed to human activities and climate …

Understanding the impact of climate change on runoff and its extremes is of great
significance for water resource assessment and adaptation strategies, especially in water …

In flood frequency analysis (FFA), choices of distribution and methods can hinder the
reproducibility of results. Besides, changes in climate, land use/cover, and water …

Marine structures are typically designed to withstand extreme events of a specific return
period derived within a stationary framework. Nevertheless, this stationarity assumption may …

Hydrometeorological extreme value analysis (EVA) is complicated with multiple-uncertain
methodological choices, such as extreme event sampling (EES), stationary/non-stationary …

In the nonstationary hydrological frequency analysis (NS-HFA), the profile likelihood (PL)
method has shown superiority in uncertainty estimation due to its higher accuracy and …