An improved daily weather generator for the assessment of regional climate change impacts

Weather generators (WGs) are one of the major downscaling tools for assessing regional climate change impacts. However, some deficiencies in performance WGs have limited their usage. This paper presents a method correcting low-frequency variability (LFV) precipitation improved weather generator (IWG) model. The is based on bias correction monthly distribution generated daily series. modified model was tested directly by comparing statistics and observed data 14 stations, also indirectly characteristics simulated stream-flows basin from simulation run data. results showed that not only corrected LFV but reproduction many other statistics. provided IWG2 can serve as useful tool general circulation (GCM) scenarios to assess impacts, especially hydrological effects.