Articles | Volume 24, issue 1
Hydrol. Earth Syst. Sci., 24, 427–450, 2020
Hydrol. Earth Syst. Sci., 24, 427–450, 2020
Research article
28 Jan 2020
Research article | 28 Jan 2020

Cross-validating precipitation datasets in the Indus River basin

Jean-Philippe Baudouin et al.

Related authors

Synoptic processes of winter precipitation in the Upper Indus Basin
Jean-Philippe Baudouin, Michael Herzog, and Cameron A. Petrie
Weather Clim. Dynam., 2, 1187–1207,,, 2021
Short summary

Related subject area

Subject: Hydrometeorology | Techniques and Approaches: Uncertainty analysis
Quantifying the uncertainty of precipitation forecasting using probabilistic deep learning
Lei Xu, Nengcheng Chen, Chao Yang, Hongchu Yu, and Zeqiang Chen
Hydrol. Earth Syst. Sci., 26, 2923–2938,,, 2022
Short summary
Unraveling the contribution of potential evaporation formulation to uncertainty under climate change
Thibault Lemaitre-Basset, Ludovic Oudin, Guillaume Thirel, and Lila Collet
Hydrol. Earth Syst. Sci., 26, 2147–2159,,, 2022
Short summary
Exploring hydrologic post-processing of ensemble streamflow forecasts based on affine kernel dressing and non-dominated sorting genetic algorithm II
Jing Xu, François Anctil, and Marie-Amélie Boucher
Hydrol. Earth Syst. Sci., 26, 1001–1017,,, 2022
Short summary
Choosing between post-processing precipitation forecasts or chaining several uncertainty quantification tools in hydrological forecasting systems
Emixi Sthefany Valdez, François Anctil, and Maria-Helena Ramos
Hydrol. Earth Syst. Sci., 26, 197–220,,, 2022
Short summary
Performance of the Global Forecast System's medium-range precipitation forecasts in the Niger river basin using multiple satellite-based products
Haowen Yue, Mekonnen Gebremichael, and Vahid Nourani
Hydrol. Earth Syst. Sci., 26, 167–181,,, 2022
Short summary

Cited articles

Adam, J. C. and Lettenmaier, D. P.: Adjustment of global gridded precipitation for systematic bias, J. Geophys. Res.-Atmos., 108, 4257,, 2003. a
Adler, R., Sapiano, M., Huffman, G., Bolvin, D., Wang, J., Gu, G., Nelkin, E., Xie, P., Chiu, L., Ferraro, R., Schneider, U., and Becker, A.: New Global Precipitation Climatology Project monthly analysis product corrects satellite data shifts, GEWEX News, 26, 7–9, 2016. a, b
Ali, G., Rasul, G., Mahmood, T., Zaman, Q., and Cheema, S.: Validation of APHRODITE precipitation data for humid and sub humid regions of Pakistan, Pakistan Journal of Meteorology, 9, 57–69, 2012. a, b, c
Archer, D. R. and Fowler, H. J.: Spatial and temporal variations in precipitation in the Upper Indus Basin, global teleconnections and hydrological implications, Hydrol. Earth Syst. Sci., 8, 47–61,, 2004. a, b, c
Archer, D. R., Forsythe, N., Fowler, H. J., and Shah, S. M.: Sustainability of water resources management in the Indus Basin under changing climatic and socio economic conditions, Hydrol. Earth Syst. Sci., 14, 1669–1680,, 2010. a
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.