Articles | Volume 23, issue 3
https://doi.org/10.5194/hess-23-1741-2019
https://doi.org/10.5194/hess-23-1741-2019
Technical note
 | 
27 Mar 2019
Technical note |  | 27 Mar 2019

Technical note: Changes in cross- and auto-dependence structures in climate projections of daily precipitation and their sensitivity to outliers

Jan Hnilica, Martin Hanel, and Vladimír Puš

Data sets

Supporting data and source codes for Hnilica et al. (submitted to HESS) J. Hnilica https://doi.org/10.5281/zenodo.1407993

Model code and software

Supporting data and source codes for Hnilica et al. (submitted to HESS) J. Hnilica https://doi.org/10.5281/zenodo.1407993

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Short summary
A statistical significance of changes in correlations of daily precipitation in six RCM simulations is assessed. The effect of outliers is explored and a concept of dependence outliers is presented. We show that correlation estimates can be strongly affected by a few outliers; therefore any statistical correction relying on sample correlation can provide misleading results. An exploratory procedure is proposed to detect and evaluate the dependence outliers in multivariate data.