Variables that have revived new interest through computational developments and
extensive data analysis. This article contributes to the subject by generalizing the bivariate …

Copulas are increasingly widely used probabilistic tools for describing, analyzing, and
modeling random variable dependencies. In this article, we offer a new copula which stands …

Quantifying dependence among variables is the core of all modelling efforts in financial
models. In the recent years, copula was introduced to model the dependence structure …

A. The copula approach was developed for describing the connection between two or more
quantitative variables. Despite the numerous existing copulas, there is still a need for new …

The relationship between precipitation and hydrologic variables is critical in understanding
the occurrence of such variables in a hydrologic system. In order to attain water security and …

Prevalent extreme climate conditions, as well as depleting water resources in semi-arid
regions continue to underscore the need for adopting efficient and data-driven management …

Inland freshwater ecosystems have been experiencing rapid and notable transformations in
direct response to both climate shifts and human-induced stressors during recent decades …

The present chapter draws attention to the urgent need to support effective policy responses
and identify appropriate nature-based adaptation measures that could be implemented …

Hydrogeological hazards are quite diffuse rainfall-induced phenomena that affect mountain
regions and can severely impact these territories, producing damages and sometimes …

Climate extremes threaten human health, economic stability, and the safety of both natural
and built environments. Compound extreme events are combinations of multiple climate …