Climate is one of the single most important factors affecting watershed ecosystems and water resources. The effect of climate variability and change has been studied extensively in some places; in many places, however, assessments are hampered by limited availability of long-term continuous climate data. Weather generators provide a means of synthesizing long-term climate data that can then be ...

Using climate scenarios from only 1 or a small number of global models (GCMs) in change impact studies may lead to biased assessment due large uncertainty projections. Ensemble means projections derived multi-GCM ensemble are often used as best estimates reduce bias. However, it is time consuming run process-based (e.g. hydrological and crop models) using numerous scenarios. It would be interes...

this study aims to evaluate effects of two downscaling methods; change-factor and statistical downscaling on therunoff of the azam-harat river located at yazd province (with an arid climate) of iran, under the a2 emission scenariofor the period of 2010-2039. for this purpose, cgcm3-ar4 model; a rainfall-runoff conceptual model, ihacres; twodownscaling models, change factor and lars-wg were appl...

daily weather information is currently available for about 40000 stations across the world. but, distribution of these stations is relatively uneven in some parts of the world. moreover, there are often large amounts of missing values (schuol and abbaspour, 2007:301). using generated data can help to fill missing or even to correct erroneously measured data (fodor et al., 2010: 91). lars-wg is ...

introduction daily weather information is currently available for about 40000 stations across the world. but, distribution of these stations is relatively uneven in some parts of the world. moreover, there are often large amounts of missing values (schuol andabbaspour, 2007: 301). using generated data can help fill missing or even to correct erroneously measured data (fodor et al., 2010: 91). l...