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

Abstract The development of Early Warning Systems in recent years has assumed an
increasingly important role in landslide risk mitigation. In this context, the main topic is the …

The results of laboratory infiltration experiments on instrumented model slopes are
presented. Loose granular volcanic ashes from the mountainous area north-eastern of …

This work describes a simple and parsimonious multisite Markov model deduced from
bivariate copula‐based mixed distributions useful for modeling and generating daily rainfall …

Although landsliding is the macroscopic effect of slope failure, it is only the final stage of an
often time-consuming process of soil deformation. In many cases, slope movement remains …

Rainfall is the main precursor of floods and landslide events that cause major damages
every year worldwide. For an early warning system to be useful for risk mitigation and …

The paper evaluates, for a number of flood events, the performance of a Bayesian
Forecasting System (BFS), with the aim of evaluating total uncertainty in real-time flood …

The challenge of achieving reliable flood forecasting results in semiarid regions remains
stark. We developed a flood early warning and forecasting method based on similarity …

A comprehensive parametric approach to study the probability distribution of rainfall data at
scales of hydrologic interest (eg from few minutes up to daily) requires the use of mixed …

Data-based mechanistic (DBM) models can offer a parsimonious representation of
catchment dynamics. They have been shown to provide reliable accurate flood forecasts in …