Climate change is a global issue that draws widespread attention from the international society. As an important component of the climate system, the water cycle is directly affected by climate change. Thus, it is very important to study the influences of climate change on the basin water cycle with respect to maintenance of healthy rivers, sustainable use of water resources, and sustainable so...

Abstract Global efforts to upgrade water, drainage, and sanitation services are hampered by hydrometeorological data-scarcity plus uncertainty about climate change. Intensity–duration–frequency (IDF) tables used routinely design water infrastructure so offer an entry point for adapting engineering standards. This paper begins with a novel procedure guiding downscaling predictor variable selecti...

climate change is found to be the most important global issue in the 21st century, so to monitor its trend is of great importance. atmospheric general circulation models because of their large scale computational grid are not able to predict climatic parameters on a point scale, so small scale methods should be adapted. among downscaling methods, statistical methods are used as they are easy to...

Precipitation is an important meteorological indicator that has a direct and significant impact on ecology, agriculture, hydrology, other vital areas of human health life. It therefore essential to monitor variations this parameter at global local scale. To predict long-term changes in climate elements, Global Circulation Models (GCMs) can provide simulated global-scale climatic processes. Due ...

introduction the city population, in particular at the industrialized cities and centers of provinces, has increased dramatically in iran during recent decades. arak city is among of those industrialized cities as a centers of markazi province which has experienced a fast increase in population. this changes in population numbers tend to increase in consuming water resources as well as increasi...

General circulation models (GCMs) run at regional resolution or a continental scale. Therefore, these results cannot be used directly for local temperatures and precipitation prediction. Downscaling techniques are required to calibrate GCMs. Statistical downscaling (SDSM) the most widely bias correction of However, few studies have compared SDSM with multi-layer perceptron artificial neural net...