Articles | Volume 22, issue 7
https://doi.org/10.5194/hess-22-3601-2018
https://doi.org/10.5194/hess-22-3601-2018
Research article
 | 
04 Jul 2018
Research article |  | 04 Jul 2018

Seasonal streamflow forecasts in the Ahlergaarde catchment, Denmark: the effect of preprocessing and post-processing on skill and statistical consistency

Diana Lucatero, Henrik Madsen, Jens C. Refsgaard, Jacob Kidmose, and Karsten H. Jensen

Viewed

Total article views: 3,488 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,208 1,191 89 3,488 94 94
  • HTML: 2,208
  • PDF: 1,191
  • XML: 89
  • Total: 3,488
  • BibTeX: 94
  • EndNote: 94
Views and downloads (calculated since 12 Jul 2017)
Cumulative views and downloads (calculated since 12 Jul 2017)

Viewed (geographical distribution)

Total article views: 3,488 (including HTML, PDF, and XML) Thereof 3,313 with geography defined and 175 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 03 Nov 2024
Download
Short summary
The skill of an experimental streamflow forecast system in the Ahlergaarde catchment, Denmark, is analyzed. Inputs to generate the forecasts are taken from the ECMWF System 4 seasonal forecasting system and an ensemble of observations (ESP). Reduction of biases is achieved by processing the meteorological and/or streamflow forecasts. In general, this is not sufficient to ensure a higher level of accuracy than the ESP, indicating a modest added value of a seasonal meteorological system.