Articles | Volume 27, issue 14
https://doi.org/10.5194/hess-27-2591-2023
https://doi.org/10.5194/hess-27-2591-2023
Technical note
 | 
18 Jul 2023
Technical note |  | 18 Jul 2023

Technical note: Complexity–uncertainty curve (c-u-curve) – a method to analyse, classify and compare dynamical systems

Uwe Ehret and Pankaj Dey

Viewed

Total article views: 2,405 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,816 529 60 2,405 59 69
  • HTML: 1,816
  • PDF: 529
  • XML: 60
  • Total: 2,405
  • BibTeX: 59
  • EndNote: 69
Views and downloads (calculated since 16 Mar 2022)
Cumulative views and downloads (calculated since 16 Mar 2022)

Viewed (geographical distribution)

Total article views: 2,405 (including HTML, PDF, and XML) Thereof 2,297 with geography defined and 108 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 23 Apr 2025
Download
Short summary
We propose the c-u-curve method to characterize dynamical (time-variable) systems of all kinds. U is for uncertainty and expresses how well a system can be predicted in a given period of time. C is for complexity and expresses how predictability differs between different periods, i.e. how well predictability itself can be predicted. The method helps to better classify and compare dynamical systems across a wide range of disciplines, thus facilitating scientific collaboration.
Share