期刊
HYDROLOGY AND EARTH SYSTEM SCIENCES
卷 16, 期 9, 页码 3309-3314出版社
COPERNICUS GESELLSCHAFT MBH
DOI: 10.5194/hess-16-3309-2012
关键词
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资金
- U.S. Army Corps of Engineers [W912HQ-IWR-CLIMATE]
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.
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