Towards an Accurate and Reliable Downscaling Scheme for High-Spatial-Resolution Precipitation Data

Keyphrases

• Calibration Method 16%
• Calibration Process 33%
• Conventional Regression 16%
• Correction Process 33%
• Difference Analysis 50%
• Disaster Prevention 16%
• Downscaling 100%
• Downscaling Method 50%
• Extreme Gradient Boosting(XGBoost) 16%
• Geographical Differences 50%
• High Spatial Resolution 100%
• High-resolution 16%
• High-resolution Precipitation 33%
• Hydrological Disasters 16%
• Hydrological Modeling 16%
• Interpolation Method 16%
• Least Squares Support Vector Regression (LSSVR) 16%
• Machine Learning 16%
• Meteorological Model 16%
• Ordinary Kriging 16%
• Precipitation Data 100%
• Precipitation Downscaling 16%
• Precipitation Estimation 16%
• Process Procedures 16%
• Rain Gauge 16%
• Regional Water Resources 16%
• Regression Approach 16%
• Regression Forest 16%
• Residual Correction 50%
• Satellite Precipitation 16%
• Sparse Area 16%
• Spatial Random Forest 50%
• Water Management 16%
• XGBoost 33%

Earth and Planetary Sciences

• Disaster Prevention 11%
• Downscaling 100%
• High Spatial Resolution 100%
• Interpolation 11%
• Kriging 11%
• Machine Learning 44%
• Rain Gage 11%
• Support Vector Machine 11%
• Water Resources Development 11%