Extreme events, such as drought, heat wave, cold wave, flood, and extreme rainfall, have
received increasing attention in recent decades due to their wide impacts on society and …

Reanalysis and observational data are used to identify the precursors of summertime heat
waves over the Eastern Mediterranean. After compiling a list of heat waves using objective …

The spatial distribution of compound extremes of air temperature and precipitation was
studied over the territory of Eastern Europe for the period 1950–2018. Using daily data on …

Applying extreme temperature events for future conditions is not straightforward for
infrastructure resilience analyses. This work introduces a stochastic model that fills this gap …

Skillful forecasts of extreme weather events have a major socio-economic relevance. Here,
we compare two complementary approaches to diagnose the predictability of extreme …

Background: The aim of this research was to assess the Humidex (HD) trends as a thermal
discomfort index by analyzing meteorological data during a 30 year period of summertime in …

Evidence of global warming induced from the increasing concentration of greenhouse gases
in the atmosphere suggests more frequent warm days and heat waves. The concept of an …

In this paper, we consider a Dirichlet process mixture of spatial skew-t processes that can
flexibly model the extremes as well as the bulk, with separate parameters controlling spatial …

There is increasing evidence that global warming manifests itself in more frequent warm
days and that heat waves will become more frequent. Presently, a formal definition of a heat …

In this paper, a Markov Regime Switching Model of Conditional Mean with covariates, is
proposed and investigated for the analysis of incidence rate data. The components of the …