Articles | Volume 6, issue 1
https://doi.org/10.5194/esd-6-267-2015
https://doi.org/10.5194/esd-6-267-2015
Research article
 | 
18 May 2015
Research article |  | 18 May 2015

Future hydrological extremes: the uncertainty from multiple global climate and global hydrological models

I. Giuntoli, J.-P. Vidal, C. Prudhomme, and D. M. Hannah

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Cited articles

Alessandri, A., De Felice, M., Zeng, N., Mariotti, A., Pan, Y., Cherchi, A., Lee, J.-Y., Wang, B., Ha, K.-J., Ruti, P., and Artale, V.: Robust assessment of the expansion and retreat of Mediterranean climate in the 21st century, Sci. Rep., 4, 7211, https://doi.org/10.1038/srep07211, 2014.
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Dankers, R., Arnell, N. W., Clark, D. B., Falloon, P. D., Fekete, B. M., Gosling, S. N., Heinke, J., Kim, H., Masaki, Y., Satoh, Y., Stacke, T., Wada, Y., and Wisser, D.: First look at changes in flood hazard in the Inter-Sectoral Impact Model Intercomparison Project ensemble, P. Natl. Acad. Sci. USA, 111, 1–5, https://doi.org/10.1073/pnas.1302078110, 2013.
Ehret, U., Zehe, E., Wulfmeyer, V., Warrach-Sagi, K., and Liebert, J.: HESS Opinions "Should we apply bias correction to global and regional climate model data?", Hydrol. Earth Syst. Sci., 16, 3391–3404, https://doi.org/10.5194/hess-16-3391-2012, 2012.
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We assessed future changes in high and low flows globally using runoff projections from global hydrological models (GHMs) driven by global climate models (GCMs) under the RCP8.5 scenario. Further, we quantified the relative size of uncertainty from GHMs and from GCMs using ANOVA. We show that GCMs are the major contributors to uncertainty overall, but GHMs increase their contribution for low flows and can equal or outweigh GCM uncertainty in snow-dominated areas for both high and low flows.
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