The gap in resolution between existing global climate model output and that sought by
decision-makers drives an ongoing need for climate downscaling. Here we test the extent to …

Observed trends in seasonal and annual total rainfall, number of rain days and daily
maximum and minimum temperature were calculated for a number of stations in South Africa …

The analysis of potential influencing factors that affect the likelihood of road accident
occurrence has been of major interest for safety researchers throughout the recent decades …

Empirical-statistical downscaling (ESD) is a method for estimating how local climatic
variables are affected by large-scale climatic conditions. ESD has been applied to local …

Species distribution models (SDMs) are common tools for assessing the potential impact of
climate change on species ranges. Uncertainty in SDM output occurs due to differences …

Despite the sophistication of global climate models (GCMs), their coarse spatial resolution
limits their ability to resolve important aspects of climate variability and change at the local …

A generalized vulnerability framework was used to structure an interdisciplinary and
intercultural examination of factors that influence the ways in which reindeer pastoralism in …

With increasing water scarcity around the world, exacerbated by spatial and temporal
variability of drought incidences along with the uncertainties associated with climate change …

Precipitation is a critical input to land surface and hydrology modeling and prediction.
Dynamical downscale modeling has added value to representing precipitation, when …

Climate change potential impacts are evaluated through the changes in the local and
regional climate. However, Global and Regional Climate simulated outputs do not often …