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
Volume 22, issue 3
Hydrol. Earth Syst. Sci., 22, 1775–1791, 2018
https://doi.org/10.5194/hess-22-1775-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Hydrol. Earth Syst. Sci., 22, 1775–1791, 2018
https://doi.org/10.5194/hess-22-1775-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 12 Mar 2018

Research article | 12 Mar 2018

Mapping (dis)agreement in hydrologic projections

Lieke A. Melsen et al.
Viewed  
Total article views: 2,601 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,713 854 34 2,601 96 35 52
  • HTML: 1,713
  • PDF: 854
  • XML: 34
  • Total: 2,601
  • Supplement: 96
  • BibTeX: 35
  • EndNote: 52
Views and downloads (calculated since 26 Sep 2017)
Cumulative views and downloads (calculated since 26 Sep 2017)
Viewed (geographical distribution)  
Total article views: 2,487 (including HTML, PDF, and XML) Thereof 2,469 with geography defined and 18 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: 26 Jan 2020
Publications Copernicus
Download
Short summary
Long-term hydrological predictions are important for water management planning, but are also prone to uncertainty. This study investigates three sources of uncertainty for long-term hydrological predictions in the US: climate models, hydrological models, and hydrological model parameters. Mapping the results revealed spatial patterns in the three sources of uncertainty: different sources of uncertainty dominate in different regions.
Long-term hydrological predictions are important for water management planning, but are also...
Citation