How to Choose the Best Bias Correction Method for CMIP6 Climate Data
This SD-GCM V2.1 tutorial explains how to evaluate multiple statistical downscaling and bias-correction methods against observed weather-station data before selecting a method for CMIP6 projections.
What this tutorial covers
Defining historical calibration and evaluation periods, running competing correction methods, comparing performance metrics and charts, checking variable-specific behavior, and selecting a method for future CMIP6 data.
Related pages
- What is bias correction?
- Delta downscaling method
- Quantile Mapping
- Empirical Quantile Mapping
- SD-GCM product page
Learn more about the SD-GCM Windows desktop tool or choose another tutorial below.