Downscaling is a widely used technique for translating information from large-scale climate
models to the spatial and temporal scales needed to assess local and regional climate …

Despite many concerns about climate change impacts on rainfed crops, few studies have
been conducted on the yield variations of different crops arising from climate changes in …

Effective implementation of a scenario-neutral climate impact assessment relies on the
integration of many modelling components at multiple stages: from the generation of …

Stochastic modeling of precipitation for estimation of hydrological extremes is an important
element of flood risk assessment and management. The spatially consistent estimation of …

Climate change is expected to have major impacts on land surface and subsurface
processes through its expression in the hydrological cycle, but the impacts to any particular …

Global Climate Models (GCMs) can provide essential meteorological data as inputs for
simulating and assessing the impact of climate change on catchment hydrology. However …

Given the increasing frequency of short-duration heavy rainfall events in certain regions
attributable to climate change, this study was aimed at establishing a stochastic rainfall …

Stochastic weather generators are statistical models widely used to produce climate time
series with similar statistical properties to observed data. They are also used as downscaling …

Stochastic rainfall generators are probabilistic models of rainfall space-time behavior.
During parameterization and calibration, they allow the identification and quantification of …

The use of less vulnerable species to climate change such as medicinal plants can be
considered as a co** strategy for adapting to climate change. This paper aims to evaluate …