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

Related authors

Refining data–data and data–model vegetation comparisons using the Earth mover's distance (EMD)
Manuel Chevalier, Anne Dallmeyer, Nils Weitzel, Chenzhi Li, Jean-Philippe Baudouin, Ulrike Herzschuh, Xianyong Cao, and Andreas Hense
Clim. Past, 19, 1043–1060, https://doi.org/10.5194/cp-19-1043-2023,https://doi.org/10.5194/cp-19-1043-2023, 2023
Short summary
Towards spatio-temporal comparison of transient simulations and temperature reconstructions for the last deglaciation
Nils Weitzel, Heather Andres, Jean-Philippe Baudouin, Marie Kapsch, Uwe Mikolajewicz, Lukas Jonkers, Oliver Bothe, Elisa Ziegler, Thomas Kleinen, André Paul, and Kira Rehfeld
EGUsphere, https://doi.org/10.5194/egusphere-2023-986,https://doi.org/10.5194/egusphere-2023-986, 2023
Short summary
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, https://doi.org/10.5194/wcd-2-1187-2021,https://doi.org/10.5194/wcd-2-1187-2021, 2021
Short summary

Related subject area

Subject: Hydrometeorology | Techniques and Approaches: Uncertainty analysis
On the visual detection of non-natural records in streamflow time series: challenges and impacts
Laurent Strohmenger, Eric Sauquet, Claire Bernard, Jérémie Bonneau, Flora Branger, Amélie Bresson, Pierre Brigode, Rémy Buzier, Olivier Delaigue, Alexandre Devers, Guillaume Evin, Maïté Fournier, Shu-Chen Hsu, Sandra Lanini, Alban de Lavenne, Thibault Lemaitre-Basset, Claire Magand, Guilherme Mendoza Guimarães, Max Mentha, Simon Munier, Charles Perrin, Tristan Podechard, Léo Rouchy, Malak Sadki, Myriam Soutif-Bellenger, François Tilmant, Yves Tramblay, Anne-Lise Véron, Jean-Philippe Vidal, and Guillaume Thirel
Hydrol. Earth Syst. Sci., 27, 3375–3391, https://doi.org/10.5194/hess-27-3375-2023,https://doi.org/10.5194/hess-27-3375-2023, 2023
Short summary
Historical rainfall data in northern Italy predict larger meteorological drought hazard than climate projections
Rui Guo and Alberto Montanari
Hydrol. Earth Syst. Sci., 27, 2847–2863, https://doi.org/10.5194/hess-27-2847-2023,https://doi.org/10.5194/hess-27-2847-2023, 2023
Short summary
Daytime-only mean data enhance understanding of land–atmosphere coupling
Zun Yin, Kirsten L. Findell, Paul Dirmeyer, Elena Shevliakova, Sergey Malyshev, Khaled Ghannam, Nina Raoult, and Zhihong Tan
Hydrol. Earth Syst. Sci., 27, 861–872, https://doi.org/10.5194/hess-27-861-2023,https://doi.org/10.5194/hess-27-861-2023, 2023
Short summary
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, https://doi.org/10.5194/hess-26-2923-2022,https://doi.org/10.5194/hess-26-2923-2022, 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, https://doi.org/10.5194/hess-26-2147-2022,https://doi.org/10.5194/hess-26-2147-2022, 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, https://doi.org/10.1029/2002JD002499, 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, https://doi.org/10.5194/hess-8-47-2004, 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, https://doi.org/10.5194/hess-14-1669-2010, 2010. a
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.