Hydrology plays a central role in applied and fundamental environmental sciences, but it is
well known to suffer from an overwhelming diversity of models, particularly to simulate …

The aim of this paper is to explore how rainfall mechanisms and catchment characteristics
shape the relationship between rainfall and flood probabilities. We propose a new approach …

Temporal disaggregation of rainfall has been of particular focus because of the non-
availability of higher-resolution rainfall data for a long-duration period. Fine temporal …

This study addresses the issue of scant availability of sub-daily precipitation data by
introducing a novel selection methodology named 'Pattern Mapping'(PM) within the existing …

Most people face some level of water insecurity. Wise water management practices to
address water security issues typically require data derived from a combination of …

Flood frequency analysis lies at the core of hydrology and water engineering as one of the
most required estimates for water planning and design of hydraulic structures. For ungauged …

Stochastic rainfall models have been widely used for hydrological modelling and climate
change impact studies, the accuracy of which can substantially affect the reliability of water …

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 …

Creating spatially coherent rainfall patterns with high temporal resolution from data with
lower temporal resolution is necessary in many geoscientific applications. From a statistical …

Hydrological models are usually systems of nonlinear differential equations for which no
analytical solutions exist and thus rely on approximate numerical solutions. While some …