 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 snowmelt. A proposed technique to bias correct DTR and maximum slash minimum daily temperatures based on observations and GCM historic simulations shows that it can produce more accurate estimations of daily temperature extremes while avoiding unrealistic DTR values. This article was authored by B. Thrasher, E. K. Maurer, C. McKellar, and others.