Articles | Volume 24, issue 1
https://doi.org/10.5194/hess-24-427-2020
https://doi.org/10.5194/hess-24-427-2020
Research article
 | 
28 Jan 2020
Research article |  | 28 Jan 2020

Cross-validating precipitation datasets in the Indus River basin

Jean-Philippe Baudouin, Michael Herzog, and Cameron A. Petrie

Viewed

Total article views: 4,995 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
4,022 917 56 4,995 54 50
  • HTML: 4,022
  • PDF: 917
  • XML: 56
  • Total: 4,995
  • BibTeX: 54
  • EndNote: 50
Views and downloads (calculated since 08 Jul 2019)
Cumulative views and downloads (calculated since 08 Jul 2019)

Viewed (geographical distribution)

Total article views: 4,995 (including HTML, PDF, and XML) Thereof 4,376 with geography defined and 619 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 28 Mar 2024
Download
Short summary
The amount of precipitation falling in the Indus River basin remains uncertain while its variability impacts 100 million inhabitants. A comparison of datasets from diverse sources (ground remote observations, model outputs) reduces this uncertainty significantly. Grounded observations offer the most reliable long-term variability but with important underestimation in winter over the mountains. By contrast, recent model outputs offer better estimations of total amount and short-term variability.