Articles | Volume 21, issue 12
https://doi.org/10.5194/hess-21-6401-2017
https://doi.org/10.5194/hess-21-6401-2017
Research article
 | 
15 Dec 2017
Research article |  | 15 Dec 2017

Development of a monthly to seasonal forecast framework tailored to inland waterway transport in central Europe

Dennis Meißner, Bastian Klein, and Monica Ionita

Viewed

Total article views: 3,518 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,370 1,059 89 3,518 86 91
  • HTML: 2,370
  • PDF: 1,059
  • XML: 89
  • Total: 3,518
  • BibTeX: 86
  • EndNote: 91
Views and downloads (calculated since 29 May 2017)
Cumulative views and downloads (calculated since 29 May 2017)

Viewed (geographical distribution)

Total article views: 3,518 (including HTML, PDF, and XML) Thereof 3,397 with geography defined and 121 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Discussed (final revised paper)

Discussed (preprint)

Latest update: 24 Apr 2024
Download
Short summary
Inland waterway transport is a commercial sector relying on hydrological forecasts on different timescales. This paper describes the set-up of a monthly to seasonal forecasting system for the German waterways. Multiple approaches are tested, compared and combined. Despite the predictive limitations on longer lead times, this study reveals the existence of a valuable predictability on monthly up to seasonal timescales. Forecast quality depends on forecast location, lead time and season.