Bias correction of monthly precipitation and temperature fields from Intergovernmental Panel on Climate Change AR4 models using equidistant quantile matching

A new quantile‐based mapping method is developed for the bias correction of monthly global circulation model outputs. Compared to the widely used quantile‐based matching method that assumes stationarity and only uses the cumulative distribution functions (CDFs) of the model and observations for the baseline period, the proposed method incorporates and adjusts the model CDF for the projection period on the basis of the difference between the model and observation CDFs for the training (baseline) period. Thus, the method explicitly accounts for distribution changes for a given model between the projection and baseline periods. We demonstrate the use of the new method over northern Eurasia. We fit a…

• NS
  National Science Foundation
• UD
  U.S. Department of Energy
• NA
  National Aeronautics and Space Administration
• OO
  Office of Science