Articles | Volume 25, issue 1
https://doi.org/10.5194/hess-25-147-2021
https://doi.org/10.5194/hess-25-147-2021
Research article
 | 
07 Jan 2021
Research article |  | 07 Jan 2021

The role and value of distributed precipitation data in hydrological models

Ralf Loritz, Markus Hrachowitz, Malte Neuper, and Erwin Zehe

Viewed

Total article views: 49,736 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
25,748 23,911 77 49,736 181 96 109
  • HTML: 25,748
  • PDF: 23,911
  • XML: 77
  • Total: 49,736
  • Supplement: 181
  • BibTeX: 96
  • EndNote: 109
Views and downloads (calculated since 03 Aug 2020)
Cumulative views and downloads (calculated since 03 Aug 2020)

Viewed (geographical distribution)

Total article views: 49,736 (including HTML, PDF, and XML) Thereof 43,577 with geography defined and 6,159 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 06 Dec 2025
Download
Short summary
This study investigates the role and value of distributed rainfall in the runoff generation of a mesoscale catchment. We compare the performance of different hydrological models at different periods and show that a distributed model driven by distributed rainfall yields improved performances only during certain periods. We then step beyond this finding and develop a spatially adaptive model that is capable of dynamically adjusting its spatial model structure in time.
Share