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

To seek stochastic analogies in key processes related to the hydrological cycle, an extended
collection of several billions of data values from hundred thousands of worldwide stations is …

The detection and attribution of long-term patterns in hydrological time series have been
important research topics for decades. A significant portion of the literature regards such …

Water engineering is an amalgam of engineering (eg, hydraulics, hydrology, irrigation,
ecosystems, environment, water resources) and non-engineering (eg, social, economic …

Hydroclimatic processes come in all “shapes and sizes”. They are characterized by different
spatiotemporal correlation structures and probability distributions that can be continuous …

Different hydrological algorithms have been developed to automatically extract drainage
networks from digital elevation models (DEMs). D8 is the most widely used algorithm to …

Three common stochastic tools, the climacogram ie variance of the time averaged process
over averaging time scale, the autocovariance function and the power spectrum are …

An extension of the symmetric-moving-average (SMA) scheme is presented for stochastic
synthesis of a stationary process for approximating any dependence structure and marginal …

Rainfall time series of high temporal resolution and spatial density are crucial for urban
hydrology. The multiplicative random cascade model can be used for temporal rainfall …

The old principle of parsimonious modelling of natural processes has regained its
importance in the last few years. The inevitability of uncertainty and risk, and the value of …