Articles | Volume 21, issue 7
https://doi.org/10.5194/hess-21-3701-2017
https://doi.org/10.5194/hess-21-3701-2017
Review article
 | 
20 Jul 2017
Review article |  | 20 Jul 2017

Scaling, similarity, and the fourth paradigm for hydrology

Christa D. Peters-Lidard, Martyn Clark, Luis Samaniego, Niko E. C. Verhoest, Tim van Emmerik, Remko Uijlenhoet, Kevin Achieng, Trenton E. Franz, and Ross Woods

Viewed

Total article views: 8,255 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
4,863 3,244 148 8,255 120 164
  • HTML: 4,863
  • PDF: 3,244
  • XML: 148
  • Total: 8,255
  • BibTeX: 120
  • EndNote: 164
Views and downloads (calculated since 13 Jan 2017)
Cumulative views and downloads (calculated since 13 Jan 2017)

Viewed (geographical distribution)

Total article views: 8,255 (including HTML, PDF, and XML) Thereof 7,848 with geography defined and 407 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 14 Dec 2024
Download
Short summary
In this synthesis of hydrologic scaling and similarity, we assert that it is time for hydrology to embrace a fourth paradigm of data-intensive science. Advances in information-based hydrologic science, coupled with an explosion of hydrologic data and advances in parameter estimation and modeling, have laid the foundation for a data-driven framework for scrutinizing hydrological hypotheses. We call upon the community to develop a focused effort towards a fourth paradigm for hydrology.