Articles | Volume 22, issue 3
https://doi.org/10.5194/hess-22-1775-2018
https://doi.org/10.5194/hess-22-1775-2018
Research article
 | 
12 Mar 2018
Research article |  | 12 Mar 2018

Mapping (dis)agreement in hydrologic projections

Lieke A. Melsen, Nans Addor, Naoki Mizukami, Andrew J. Newman, Paul J. J. F. Torfs, Martyn P. Clark, Remko Uijlenhoet, and Adriaan J. Teuling

Viewed

Total article views: 4,772 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,963 1,705 104 4,772 257 76 106
  • HTML: 2,963
  • PDF: 1,705
  • XML: 104
  • Total: 4,772
  • Supplement: 257
  • BibTeX: 76
  • EndNote: 106
Views and downloads (calculated since 26 Sep 2017)
Cumulative views and downloads (calculated since 26 Sep 2017)

Viewed (geographical distribution)

Total article views: 4,772 (including HTML, PDF, and XML) Thereof 4,420 with geography defined and 352 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 28 Mar 2024
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.