the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Technical note: Changes of cross- and auto-dependence structures in climate projections of daily precipitation and their sensitivity to outliers
Abstract. Simulations of regional or global climate models are often used for climate change impact assessment. To eliminate systematic errors, which are inherent to all climate model simulations, a number of post processing (statistical downscaling) methods have been proposed recently. In addition to basic statistical properties of simulated variables, some of these methods consider also the biases and/or changes in dependence structure between variables or within. In the present paper we assess the biases and changes in cross- and auto-correlation structures of daily precipitation in six regional climate model simulations. In addition the effect of outliers is explored making distinction between ordinary outliers (i.e. values exceptionally small or large) and dependence outliers (values deviating from dependence structures). It is demonstrated that correlation estimates can be strongly influenced by few outliers even in large data sets. In turn, any statistical downscaling method relying on sample correlation/covariance can therefore provide misleading results. An exploratory procedure is proposed to detect the dependence outliers in multi-variate data and to quantify their impact on correlation structures.
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RC1: 'Changes of cross- and auto-dependence structures in climate projections of daily precipitation and their sensitivity to outliers', Geoff Pegram, 19 Mar 2018
- AC1: 'Reply to the referee comment no. 1', Jan Hnilica, 19 Apr 2018
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RC2: 'Reviewer comments', Anonymous Referee #2, 20 Apr 2018
- AC3: 'Reply to the referee comment no. 2', Jan Hnilica, 24 Apr 2018
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RC1: 'Changes of cross- and auto-dependence structures in climate projections of daily precipitation and their sensitivity to outliers', Geoff Pegram, 19 Mar 2018
- AC1: 'Reply to the referee comment no. 1', Jan Hnilica, 19 Apr 2018
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RC2: 'Reviewer comments', Anonymous Referee #2, 20 Apr 2018
- AC3: 'Reply to the referee comment no. 2', Jan Hnilica, 24 Apr 2018
Data sets
Supporting data and source code for Hnilica et al. (submitted to HESS) J. Hnilica https://doi.org/10.5281/zenodo.1137769
Model code and software
Supporting data and source code for Hnilica et al. (submitted to HESS) J. Hnilica https://doi.org/10.5281/zenodo.1137769
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