Abstract: limate data often suffer from artificial inhomogeneities, resulting from documented or undocumented events. For a time series to be used with confidence in climate analysis, it should only be characterized by variations ...

Abstract: simple statistical model is used to partition uncertainty from different sources, in projections of future climate from multimodel ensembles. Three major sources of uncertainty are considered: the choice of climate model, ...

Abstract: ightning accompanied by inconsequential rainfall (i.e. ?dry? lightning) is the primary natural ignition source for wildfires globally. This paper presents a machine-learning and statistical-classification analysis of ?dry? ...

Abstract: outhern Africa is characterized by a high degree of rainfall variability, affecting agriculture and hydrology, among other sectors. This paper aims to investigate such variability and to identify stable relationships with ...

Abstract: AbstractLightning is a natural hazard that can lead to the ignition of wildfires, disruption and damage to power and telecommunication infrastructures, human and livestock injuries and fatalities, and disruption to airport ...

Abstract: The basic climatological pattern and recent trends in daily maximum wind speed (DMWS) for the region 47.5°?65°N and 12.5°W?22.5°E are studied using gamma distributions within a generalized linear model. Between 1958 and ...