In urban areas, hydrological processes are characterized by high variability in space and
time, making them sensitive to small-scale temporal and spatial rainfall variability. In the last …

Abstract Stochastic Storm Transposition (SST) involves resampling and random geospatial
shifting (ie transposition) of observed storm events to generate hypothetical but realistic …

A new stochastic weather generator, Advanced WEather GENerator for a two‐dimensional
grid (AWE‐GEN‐2d) is presented. The model combines physical and stochastic approaches …

Extreme rainfall is quantified in engineering practice using Intensity–Duration–Frequency
curves (IDF) that are traditionally derived from rain-gauges and more recently also from …

Episodic streamflow events in the Upper Santa Cruz River recharge a shallow alluvial
aquifer that is an essential water resource for the surrounding communities. The complex …

Synthetic design storms are often used to plan new drainage systems or assess flood
impacts on infrastructure. To simulate extreme rainfall events under climate change, design …

Mountainous catchments cover a broad range of elevations and their response to a warming
climate is expected to vary significantly in space. Nevertheless, studies on climate change …

Exploring the effects of climate change on the hydrological response at the local scale
requires climate data at high spatial and temporal resolutions. This is best achieved by …

The performance of urban drainage systems is typically examined using hydrological and
hydrodynamic models where rainfall input is uniformly distributed, ie, derived from a single …

The internal intensity distributions of precipitation systems are closely related to precipitation
dynamics. Understanding its climatology and changing characteristics is important for …