An understanding soil moisture spatio-temporal variability is essential for hydrological and
meteorological research. This work aims at evaluating the spatio-temporal variability of near …

Adapting to climate change in the water sector requires abandoning two crucial
assumptions. First, that the climate represented in the instrumental record is representative …

This paper deals with short-term load forecasting for energy management systems in small
and middle-sized buildings. Unlike existing studies that focus on the forecasting accuracy …

Global warming brings a huge challenge to society and human being. Understanding
historic and future potential climate change will be beneficial to regional crop, forest, and …

We investigated short‐and long‐term changes in total and extreme summer precipitation
and the characteristic patterns of atmospheric circulation and sea surface temperature (SST) …

Abstract Study region Xiangjiang and Hanjiang River basins in the Yangtze River basin, a
humid subtropical inland region of central-southern China. Study focus The general …

Capturing climatic variations in boreal winter to spring (December–May) is essential for
properly predicting droughts in South Korea. This study investigates the variability and …

Studies addressing the response of glaciers to climate change have so far analyzed the
effect of long-term trends in a particular set of meteorological variables only, implicitly …

Statistical downscaling approaches are usually used to bridge the gap between climate
model outputs and data requirements of impact models such as crop and soil erosion …

The aim of this paper is to discuss the issues and challenges associated with statistical
downscaling of general circulation model (GCM) outputs to hydroclimatic variables at …