An extremes-weighted empirical quantile mapping for global climate model data bias correction for improved emphasis on extremes

Keyphrases

• Bias Correction 100%
• Global Climate Models 100%
• Climate Model Data 100%
• Empirical Quantile Mapping 100%
• Extreme Precipitation 80%
• Precipitation Occurrence 40%
• Impact Mitigation 40%
• United States 20%
• Climate Change Impacts 20%
• Mid-Atlantic Region 20%
• Root Mean Square Error 20%
• Mitigation Strategies 20%
• Disaster Recovery 20%
• Precipitation Records 20%
• Observed Precipitation 20%
• Flood Management 20%
• Bias Correction Methods 20%
• Power Transformation 20%
• Coupled Model Intercomparison Project Phase 6 (CMIP6) 20%
• Precipitation Behavior 20%
• Correction Ability 20%
• Future Bias 20%
• SSP245 20%
• Precipitation Time Series 20%
• Spatial Median 20%
• Global Climate Model Projection 20%
• Quantile Mapping Bias Correction 20%
• Annual Precipitation 20%

Earth and Planetary Sciences

• Climate Modeling 100%
• Quantile 100%
• Global Climate 100%
• Extreme Precipitation 80%
• General Circulation Model 40%
• United States of America 20%
• Climate Change Impact 20%
• Root-Mean-Square Error 20%
• Coupled Model Intercomparison Project Phase 6 20%
• Disaster Prevention 20%