Statistical downscaling methods seek to model the relationship between large scale atmospheric circulation, on say a European scale, and climatic variables, such as temperature and precipitation, on a regional or subregional scale. Downscaling is an important area of research as it bridges the gap between predictions of future circulation generated by General Circulation Models (GCMs) and the e...

Every year, South Asian countries suffer from declining agricultural outputs due to climate extremes such as floods and droughts. Recurrent droughts have depressed rural economies enhanced widespread hunger human migration cities (Miyan, 2015). Due climatic changes, the region is projected experience rising temperatures more frequent extreme weather events in long term (Trenberth et al., 2014)....

This article provides a review and synthesis of scholarly knowledge of Depression-era droughts on the North American Great Plains, a time and place known colloquially as the Dust Bowl era or the Dirty Thirties. Recent events, including the 2008 financial crisis, severe droughts in the US corn belt, and the release of a popular documentary film, have spawned a resurgence in public interest in th...

The growing number and effectiveness of earth observation satellite systems, along with the increasing reliability of remote sensing methodologies and techniques, present a wide range of new capabilities in monitoring and assessing droughts. In this paper, several drought features are analyzed and assessed by using remotely sensed Reconnaissance Drought Index (RDI). The developed methodology is...

The responses of river runoff to shifts of largescale climatic patterns are of increasing concerns to water resource planners and managers for long-term climate change adaptation. El Niño, as one of the most dominant modes of climate variability, is closely linked to hydrologic extremes such as floods and droughts that cause great loss of lives and properties. However, the different impacts of ...

Abstract. Hydrological models are widely used to characterize, understand and manage hydrosystems. Lumped parameter of particular interest in karst environments given the complexity heterogeneity these systems. There is a multitude lumped modelling approaches, which can make it difficult for manager or researcher choose. We therefore conducted comparison two approaches: artificial neural networ...