Articles | Volume 24, issue 1
https://doi.org/10.5194/hess-24-427-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-24-427-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
28 Jan 2020
Research article |
| 28 Jan 2020
| 28 Jan 2020
Cross-validating precipitation datasets in the Indus River basin
Jean-Philippe Baudouin
CORRESPONDING AUTHOR
Department of Geography, University of Cambridge, Cambridge, UK
Michael Herzog
Department of Geography, University of Cambridge, Cambridge, UK
Cameron A. Petrie
Department of Archaeology, University of Cambridge, Cambridge, UK
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1 citations as recorded by crossref.
Latest update: 13 Jul 2025
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.
The amount of precipitation falling in the Indus River basin remains uncertain while its...
