Journal cover Journal topic
Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 4.936 IF 4.936
  • IF 5-year value: 5.615 IF 5-year
    5.615
  • CiteScore value: 4.94 CiteScore
    4.94
  • SNIP value: 1.612 SNIP 1.612
  • IPP value: 4.70 IPP 4.70
  • SJR value: 2.134 SJR 2.134
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 107 Scimago H
    index 107
  • h5-index value: 63 h5-index 63
HESS | Articles | Volume 23, issue 1
Hydrol. Earth Syst. Sci., 23, 493–513, 2019
https://doi.org/10.5194/hess-23-493-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Hydrol. Earth Syst. Sci., 23, 493–513, 2019
https://doi.org/10.5194/hess-23-493-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 28 Jan 2019

Research article | 28 Jan 2019

Subseasonal hydrometeorological ensemble predictions in small- and medium-sized mountainous catchments: benefits of the NWP approach

Samuel Monhart et al.
Viewed  
Total article views: 1,014 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
758 245 11 1,014 70 25 21
  • HTML: 758
  • PDF: 245
  • XML: 11
  • Total: 1,014
  • Supplement: 70
  • BibTeX: 25
  • EndNote: 21
Views and downloads (calculated since 21 Sep 2018)
Cumulative views and downloads (calculated since 21 Sep 2018)
Viewed (geographical distribution)  
Total article views: 763 (including HTML, PDF, and XML) Thereof 755 with geography defined and 8 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Cited  
Saved (final revised paper)  
No saved metrics found.
Saved (discussion paper)  
No saved metrics found.
Discussed (final revised paper)  
No discussed metrics found.
Discussed (discussion paper)  
No discussed metrics found.
Latest update: 19 Aug 2019
Publications Copernicus
Download
Short summary
Subseasonal streamflow forecasts have received increasing attention during the past decade, but their performance in alpine catchments is still largely unknown. We analyse the effect of a statistical correction technique applied to the driving meteorological forecasts on the performance of the resulting streamflow forecasts. The study shows the benefits of such hydrometeorological ensemble prediction systems and highlights the importance of snow-related processes for subseasonal predictions.
Subseasonal streamflow forecasts have received increasing attention during the past decade, but...
Citation