Statistical downscaling of daily mean temperature, pan evaporation and precipitation for climate change scenarios in Haihe River, China

• Published in: Theoretical and applied climatology Vol. 99; no. 1-2; pp. 149 - 161
• Main Authors: Chu, J. T., Xia, J., Xu, C.-Y., Singh, V. P.
• Format: Journal Article
• Language: English
• Published: Vienna Springer Vienna 01.01.2010; Springer; Springer Nature B.V
• Subjects: Analysis; Aquatic Pollution; Atmosfärs- och hydrosfärsvetenskap; Atmosphere and hydrosphere sciences; Atmospheric Protection/Air Quality Control/Air Pollution; Atmospheric Sciences; Climate change; Climate models; Climatology; Climatology. Bioclimatology. Climate change; Earth and Environmental Science; Earth Sciences; Earth, ocean, space; Exact sciences and technology; External geophysics; Freshwater; Geophysics. Techniques, methods, instrumentation and models; Geovetenskap; Global temperature changes; Hydrology; Meteorology; NATURAL SCIENCES; NATURVETENSKAP; Original Paper; Precipitation; Rain and rainfall; Statistical analysis; Temperature; Waste Water Technology; Water Management; Water Pollution Control; Far East; Asia; China; Haihe River; China, People's Rep; Validation Period; Haihe River Basin; HadCM3 Model; Extreme Precipitation Event; North China Plain; atmospheric precipitation; Predictor; Scale reduction; climate warming; Climate models; Forecast model; Atmospheric temperature; global change; water resource management; statistical analysis; evaporation; climate change; Climate forecast

A statistical downscaling method (SDSM) was evaluated by simultaneously downscaling air temperature, evaporation, and precipitation in Haihe River basin, China. The data used for evaluation were large-scale atmospheric data encompassing daily NCEP/NCAR reanalysis data and the daily mean climate mode...