Compound weather and climate events describe combinations of multiple climate drivers
and/or hazards that contribute to societal or environmental risk. Although many climate …

Evidence that extreme rainfall intensity is increasing at the global scale has strengthened
considerably in recent years. Research now indicates that the greatest increases are likely …

Climate and weather variables such as rainfall, temperature, and pressure are indicators for
hazards such as tropical cyclones, floods, and fires. The impact of these events can be due …

Uncertainty Quantification in Complex Simulation Models Using Ensemble Copula Coupling
Page 1 Statistical Science 2013, Vol. 28, No. 4, 616–640 DOI: 10.1214/13-STS443 © Institute of …

The classical modeling of spatial extremes relies on asymptotic models (ie, max‐stable or r‐
Pareto processes) for block maxima or peaks over high thresholds, respectively. However, at …

The series aims to: present current and emerging innovations in GIScience; describe new
and robust GIScience methods for use in transdisciplinary problem solving and decision …

Conditional independence, graphical models and sparsity are key notions for parsimonious
statistical models and for understanding the structural relationships in the data. The theory of …

A recurrent issue encountered in environmental, ecological or agricultural impact studies in
which climate is an important driving force is to provide fast and realistic simulations of …

Written by a team of international experts, Extremes and Recurrence in Dynamical Systems
presents a unique point of view on the mathematical theory of extremes and on its …

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