Articles | Volume 19, issue 1
https://doi.org/10.5194/hess-19-275-2015
https://doi.org/10.5194/hess-19-275-2015
Research article
 | 
16 Jan 2015
Research article |  | 16 Jan 2015

The skill of seasonal ensemble low-flow forecasts in the Moselle River for three different hydrological models

M. C. Demirel, M. J. Booij, and A. Y. Hoekstra

Viewed

Total article views: 4,638 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,264 1,684 690 4,638 105 87
  • HTML: 2,264
  • PDF: 1,684
  • XML: 690
  • Total: 4,638
  • BibTeX: 105
  • EndNote: 87
Views and downloads (calculated since 23 May 2014)
Cumulative views and downloads (calculated since 23 May 2014)

Cited

Saved (final revised paper)

Saved (preprint)

Latest update: 18 Apr 2024
Download
Short summary
This paper investigates the skill of 90-day low-flow forecasts using three models. From the results, it appears that all models are prone to over-predict runoff during low-flow periods using ensemble seasonal meteorological forcing. The largest range for 90-day low-flow forecasts is found for the GR4J model. Overall, the uncertainty from ensemble P forecasts has a larger effect on seasonal low-flow forecasts than the uncertainty from ensemble PET forecasts and initial model conditions.