Extreme value statistics provides accurate estimates for the small occurrence probabilities of
rare events. While theory and statistical tools for univariate extremes are well developed …

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 …

Modeling dependencies between climate extremes is important for climate risk assessment,
for instance when allocating emergency management funds. In statistics, multivariate …

To mitigate the risk posed by extreme rainfall events, we require statistical models that
reliably capture extremes in continuous space with dependence. However, assuming a …

Identifying hidden spatial patterns that define sub-regions characterized by a similar
behaviour is a central topic in statistical climatology. This task, often called regionalization, is …

Estimates for rare to very rare floods are limited by the relatively short streamflow records
available. Often, pragmatic conversion factors are used to quantify such events based on …

Inland levees can amplify flood risk in unprotected communities by altering floodwater levels
away from their location. While these nonlocal effects of levees, which we term flood …

Rainfall are subject to local orography features and their intensities can be highly variable.
In this context, identifying climatically coherent regions can greatly help interpreting rainfall …

Modeling panels of extremes Page 1 The Annals of Applied Statistics 2023, Vol. 17, No. 1,
498–517 https://doi.org/10.1214/22-AOAS1639 © Institute of Mathematical Statistics, 2023 …

Flood events are difficult to characterize if available observation records are shorter than the
recurrence intervals, and the non-stationarity of the climate adds additional uncertainty. In …