Articles | Volume 24, issue 11
https://doi.org/10.5194/hess-24-5453-2020
https://doi.org/10.5194/hess-24-5453-2020
Research article
 | 
20 Nov 2020
Research article |  | 20 Nov 2020

Predicting probabilities of streamflow intermittency across a temperate mesoscale catchment

Nils Hinrich Kaplan, Theresa Blume, and Markus Weiler

Viewed

Total article views: 2,167 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,456 662 49 2,167 212 46 48
  • HTML: 1,456
  • PDF: 662
  • XML: 49
  • Total: 2,167
  • Supplement: 212
  • BibTeX: 46
  • EndNote: 48
Views and downloads (calculated since 15 May 2020)
Cumulative views and downloads (calculated since 15 May 2020)

Viewed (geographical distribution)

Total article views: 2,167 (including HTML, PDF, and XML) Thereof 1,926 with geography defined and 241 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 23 Feb 2024
Short summary
In recent decades the demand for detailed information of spatial and temporal dynamics of the stream network has grown in the fields of eco-hydrology and extreme flow prediction. We use temporal streamflow intermittency data obtained at various sites using innovative sensing technology as well as spatial predictors to predict and map probabilities of streamflow intermittency. This approach has the potential to provide intermittency maps for hydrological modelling and management practices.