Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 23, issue 3
Articles | Volume 23, issue 3
https://doi.org/10.5194/hess-23-1741-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-23-1741-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 23, issue 3
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

Viewed

Total article views: 2,243 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,445 730 68 2,243 166 77 81
  • HTML: 1,445
  • PDF: 730
  • XML: 68
  • Total: 2,243
  • Supplement: 166
  • BibTeX: 77
  • EndNote: 81
Views and downloads (calculated since 13 Sep 2018)
Cumulative views and downloads (calculated since 13 Sep 2018)

Viewed (geographical distribution)

Total article views: 2,243 (including HTML, PDF, and XML) Thereof 2,056 with geography defined and 187 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Discussed (final revised paper)

Latest update: 02 Apr 2025
Download
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.
Read more
Share