A comparison study of three statistical downscaling methods and their model-averaging ensemble for precipitation downscaling in China

Keyphrases

• China 100%
• Model Averaging 100%
• Precipitation Downscaling 100%
• Statistical Downscaling Model 100%
• LARS-WG 40%
• Single Metric 40%
• Temporal Patterns 20%
• Averaging Method 20%
• Drying Conditions 20%
• Computational Cost 20%
• Multi-criteria Model 20%
• Model Complexity 20%
• Method Performance 20%
• Complexity Costs 20%
• Single Model 20%
• Moisture Condition 20%
• Calibration Period 20%
• Statistical Downscaling 20%
• Ensemble Forecasting 20%
• Optimal Objective Function 20%
• Optimized Model 20%
• Observed Precipitation 20%
• Extreme Behavior 20%
• Precipitation Characteristics 20%
• Extreme Indices 20%
• Shuffled Complex Evolution Algorithm 20%
• Downscaling Method 20%
• Model Evaluation 20%
• Model Weights 20%
• Mean Behavior 20%
• NCEP/NCAR Reanalysis Data 20%

Mathematics

• Computational Cost 100%
• Superiority 100%
• Objective Function 100%
• Performance Model 100%
• Adaptability 100%

Computer Science

• Support Vector Machine 100%
• Comparison Study 100%
• Performance Model 50%
• Model Complexity 50%
• Computational Cost 50%
• Objective Function 50%