This paper surveys flood mapping and modelling in Nigeria in regard to frequency and
impact of floods in the last decade. The aim is to understand the frequency and patterns of …

We propose in this paper a regional formulation of Intensity–Duration–Frequency curves of
point-rainfall maxima in a scale-invariant Generalized Extreme Value (GEV) framework. The …

Given that long time series for temporally highly resolved precipitation observations are
rarely available, it is necessary to pool information to obtain reliable estimates of the …

As a warming climate leads to more frequent heavy rainfall, the importance of accurate
rainfall statistics is increasing. Rainfall statistics are often presented as intensity-duration …

We model monthly precipitation maxima at 132 stations in Germany for a wide range of
durations from 1 min to about 6 d using a duration-dependent generalized extreme value (d …

Rainfall intensity–duration–frequency (IDF) curves are one of the most commonly used tools
in water resources engineering. They give an idea of how return levels of extreme rainfall …

A common existing approach to modeling rainfall extremes employs a spatial Bayesian
hierarchical model, where latent Gaussian processes are specified on distributional …

Conversion of boreal forest into agricultural land is likely to occur due to the shift of climatic
zones and increasing food demand. However, any land conversion will affect the water …

This paper describes a statistical modelling framework for the characterisation of rainfall
extremes over a region of interest. Using a Bayesian hierarchical approach, the data are …

Constructing a multivariate distribution model for rainfall characteristics is an important task
for risk-based hydrologic design. However, most stochastic rainfall models are limited to …