 The article discusses a method for correcting climate model data for systematic deviations from observations in climate impact modeling. The method is based on transfer functions that map the distribution of simulated historical data to that of observations. The bias correction preserves the warming signal and applies it to future projections. The proposed methodology is a modification of the transfer function approach used in water model intercomparison project, WATER MIP. The article highlights the potential and limitations of the applied bias correction, including its ability to represent trends and long-term means, but difficulties adjusting variability that may affect small-scale features or extremes. This article was authored by S. Hempel, K. Freeler, L. Warsawski, and others. We're article.tv, links in the description below.