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 …

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 discharge of pathogens into urban recreational water bodies during combined sewer
overflows (CSOs) pose a potential threat for public health which may increase in the future …

Precipitation data of finer timescale and higher spatial density are crucial for continuous
hydrological modelling and flood risk assessment. Disaggregation methods are often used …

For more than three decades, researchers have been developping generation methods for
the weather, energy, and economic domain. These methods provide generated datasets for …

Accurate rainfall datasets with high temporal and spatial resolutions are crucial for most
hydrological applications. One potentially valuable source of rainfall data that has consistent …

The generation of hydrometeorological time series that exhibit a given probabilistic and
stochastic behavior across multiple temporal levels, traditionally expressed in terms of …

Study region: This study focuses on two study areas: the Province of Trento (Italy; 6200 km²),
and entire Sweden (447000km²). The Province of Trento is a complex mountainous area …

In urban hydrology rainfall time series of high resolution in time are crucial. Such time series
with sufficient length can be generated through the disaggregation of daily data with a micro …

In this work, we present a comprehensive evaluation of a stochastic multi‐site, multi‐variate
weather generator at the scale of entire Germany and parts of the neighbouring countries …