Here we review methods used for probabilistic analysis of extreme events in
Hydroclimatology. We focus on streamflow, precipitation, and temperature extremes at …

In flood frequency analysis (FFA), annual maximum (AM) model is widely adopted in
practice due to its straightforward sampling process. However, AM model has been criticized …

Abstract The Yangtze River estuary and its surrounding seas have had the highest degree of
eutrophication in China. Xiangshan Bay, located at the southern bank of the Yangtze River …

What elements should a parsimonious model reproduce at a single scale to precisely
simulate rainfall at many scales? We posit these elements are:(a) the probability of dry and …

Post-processing of hydrological model simulations using machine learning algorithms can
be applied to quantify the uncertainty of hydrological predictions. Combining multiple …

The preceding and succeeding precipitation (PSP) of a precipitation extreme often
contribute to flooding initiated by the extreme event itself. In this study, the concept of event …

The current statistical methods applied in flood frequency analysis require long data records
to obtain reliable estimates, particularly for long return periods. Moreover, the choice of the …

Automated threshold selection for extreme value analysis via ordered goodness-of-fit tests with
adjustment for false discovery r Page 1 The Annals of Applied Statistics 2018, Vol. 12, No. 1 …

A warmer climate has caused more extreme climate events like the heatwave or extreme
precipitation, which has led to a large number of lives and economic losses. In this study, we …

Hydroclimatic time series analysis focuses on a few feature types (eg, autocorrelations,
trends, extremes), which describe a small portion of the entire information content of the …