 Applying quantile mapping-based bias correction to daily temperature extremes simulated by a global climate model, GCM, can result in physically unrealistic diurnal temperature range, DTR, values, which is strongly related to GCM biases in snow albedo feedback during snow melt. We propose a technique to bias correct DTR and maximum daily temperature based on comparing observations and GCM historic simulations and show that it can produce more accurate estimations of daily temperature extremes while avoiding unrealistic DTR values. This article was authored by B. Thrasher, E. P. Maurer, C. McCuller, and others.