1Climate Analytics Group, Palo Alto, CA 94303, USA
2Climate Central, Princeton, NJ 08542, USA
3Santa Clara University, Civil Engineering Dept., Santa Clara, California, 95053-0563, USA
4San Jose State University, Dept. of Meteorology and Climate Science, San Jose, CA 95126, USA
5Lawrence Livermore National Laboratory, Livermore, CA 94550, USA
Received: 27 Mar 2012 – Discussion started: 25 Apr 2012
Abstract. When applying a quantile mapping-based bias correction to daily temperature extremes simulated by a global climate model (GCM), the transformed values of maximum and minimum temperatures are changed, and the diurnal temperature range (DTR) can become physically unrealistic. While causes are not thoroughly explored, there is a strong relationship between GCM biases in snow albedo feedback during snowmelt and bias correction resulting in unrealistic DTR values. We propose a technique to bias correct DTR, based on comparing observations and GCM historic simulations, and combine that with either bias correcting daily maximum temperatures and calculating daily minimum temperatures or vice versa. By basing the bias correction on a base period of 1961–1980 and validating it during a test period of 1981–1999, we show that bias correcting DTR and maximum daily temperature can produce more accurate estimations of daily temperature extremes while avoiding the pathological cases of unrealistic DTR values.
Revised: 16 Aug 2012 – Accepted: 20 Aug 2012 – Published: 17 Sep 2012
Thrasher, B., Maurer, E. P., McKellar, C., and Duffy, P. B.: Technical Note: Bias correcting climate model simulated daily temperature extremes with quantile mapping, Hydrol. Earth Syst. Sci., 16, 3309-3314, doi:10.5194/hess-16-3309-2012, 2012.