Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 28, issue 4
Articles | Volume 28, issue 4
https://doi.org/10.5194/hess-28-851-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-28-851-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 28, issue 4
Research article
 | 
23 Feb 2024
Research article |  | 23 Feb 2024

Flow intermittence prediction using a hybrid hydrological modelling approach: influence of observed intermittence data on the training of a random forest model

Louise Mimeau, Annika Künne, Flora Branger, Sven Kralisch, Alexandre Devers, and Jean-Philippe Vidal

Viewed

Total article views: 1,001 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
768 192 41 1,001 65 30 29
  • HTML: 768
  • PDF: 192
  • XML: 41
  • Total: 1,001
  • Supplement: 65
  • BibTeX: 30
  • EndNote: 29
Views and downloads (calculated since 28 Jul 2023)
Cumulative views and downloads (calculated since 28 Jul 2023)

Viewed (geographical distribution)

Total article views: 1,001 (including HTML, PDF, and XML) Thereof 968 with geography defined and 33 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 08 May 2024
Download
Short summary
Modelling flow intermittence is essential for predicting the future evolution of drying in river networks and better understanding the ecological and socio-economic impacts. However, modelling flow intermittence is challenging, and observed data on temporary rivers are scarce. This study presents a new modelling approach for predicting flow intermittence in river networks and shows that combining different sources of observed data reduces the model uncertainty.
Read more