Articles | Volume 21, issue 12
https://doi.org/10.5194/hess-21-6201-2017
https://doi.org/10.5194/hess-21-6201-2017
Research article
 | 
08 Dec 2017
Research article |  | 08 Dec 2017

Global-scale evaluation of 22 precipitation datasets using gauge observations and hydrological modeling

Hylke E. Beck, Noemi Vergopolan, Ming Pan, Vincenzo Levizzani, Albert I. J. M. van Dijk, Graham P. Weedon, Luca Brocca, Florian Pappenberger, George J. Huffman, and Eric F. Wood

Viewed

Total article views: 17,514 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
10,317 6,887 310 17,514 811 181 220
  • HTML: 10,317
  • PDF: 6,887
  • XML: 310
  • Total: 17,514
  • Supplement: 811
  • BibTeX: 181
  • EndNote: 220
Views and downloads (calculated since 14 Aug 2017)
Cumulative views and downloads (calculated since 14 Aug 2017)

Viewed (geographical distribution)

Total article views: 17,514 (including HTML, PDF, and XML) Thereof 15,937 with geography defined and 1,577 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Saved (preprint)

Latest update: 19 Apr 2024
Download
Short summary
This study represents the most comprehensive global-scale precipitation dataset evaluation to date. We evaluated 13 uncorrected precipitation datasets using precipitation observations from 76 086 gauges, and 9 gauge-corrected ones using hydrological modeling for 9053 catchments. Our results highlight large differences in estimation accuracy, and hence, the importance of precipitation dataset selection in both research and operational applications.