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Earth System Dynamics An interactive open-access journal of the European Geosciences Union

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https://doi.org/10.5194/esd-2017-53
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Research article
07 Jun 2017
Review status
This discussion paper is a preprint. A revision of this manuscript was accepted for the journal Earth System Dynamics (ESD) and is expected to appear here in due course.
A method to preserve trends in quantile mapping bias correction of climate modeled temperature
Manolis G. Grillakis1, Aristeidis G. Koutroulis1, Ioannis N. Daliakopoulos1, and Ioannis K. Tsanis1,2 1Technical University of Crete, School of Environmental Engineering, Chania, Greece
2McMaster University, Department of Civil Engineering, Hamilton, ON, Canada
Abstract. Bias correction of climate variables is a standard practice in Climate Change Impact (CCI) studies. Various methodologies have been developed within the framework of quantile mapping. However, it is well known that quantile mapping may significantly modify the long term statistics due to the time dependency that the temperature bias. Here, a method to overcome this issue without compromising the day to day correction statistics is presented. The methodology separates the model temperature signal into a normalized and a residual component relatively to the molded reference period climatology, in order to adjust the biases only for the former and preserve intact the signal of the later. The results show that the adoption of this method allows for the preservation of the originally modeled long-term signal in the mean, the standard deviation and higher and lower percentiles of temperature. The methodology is tested on daily time series obtained from five Euro CORDEX RCM models, to illustrate the improvements of this method.

Citation: Grillakis, M. G., Koutroulis, A. G., Daliakopoulos, I. N., and Tsanis, I. K.: A method to preserve trends in quantile mapping bias correction of climate modeled temperature, Earth Syst. Dynam. Discuss., https://doi.org/10.5194/esd-2017-53, in review, 2017.
Manolis G. Grillakis et al.
Manolis G. Grillakis et al.
Manolis G. Grillakis et al.

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Short summary
We present a methodology to adjust the systematic errors of climate modeled temperature with a simultaneous long term trend preservation. The method considers the normalization of the temperature towards a reference period modeled temperature and the estimation of a residual signal, in order to apply adjustment only to the former. The skill of the methodology to reduce the systematic errors while simultaneously preserve the long term signal of the temperature is assessed in European scale.
We present a methodology to adjust the systematic errors of climate modeled temperature with a...
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