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Technical Note: Bias correcting climate model simulated daily temperature extremes with quantile mapping

Open access
Thrasher, B., Maurer, E. P., McKellar, C., Duffy, P. B.·2012·Hydrology and Earth System Sciences

Abstract

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.

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Metadata

Authors
Thrasher, B., Maurer, E. P., McKellar, C., & Duffy, P. B.
Venue
Hydrology and Earth System Sciences
Published
2012-09-17
Volume
16
Issue
9
Pages
3309-3314
ISSN
  • 1027-5606 (ISSN-L)
  • 1607-7938
OpenAlex
W2131052750
Cited by
676
References
21
FWCI
5.48
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Technical Note: Bias correcting climate model simulated daily temperature extremes with quantile mapping. https://app.cochat.ai/papers/10.5194/hess-16-3309-2012
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Thrasher, B., Maurer, E. P., McKellar, C., & Duffy, P. B. (2012). Technical Note: Bias correcting climate model simulated daily temperature extremes with quantile mapping. Hydrology and Earth System Sciences. https://doi.org/10.5194/hess-16-3309-2012

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