Articles | Volume 23, issue 11
https://doi.org/10.5194/hess-23-4471-2019
https://doi.org/10.5194/hess-23-4471-2019
Research article
 | 
30 Oct 2019
Research article |  | 30 Oct 2019

Future shifts in extreme flow regimes in Alpine regions

Manuela I. Brunner, Daniel Farinotti, Harry Zekollari, Matthias Huss, and Massimiliano Zappa

Related authors

Drought decreases annual streamflow response to precipitation, especially in arid regions
Alessia Matanó, Raed Hamed, Manuela I. Brunner, Marlies H. Barendrecht, and Anne F. Van Loon
Hydrol. Earth Syst. Sci., 29, 2749–2764, https://doi.org/10.5194/hess-29-2749-2025,https://doi.org/10.5194/hess-29-2749-2025, 2025
Short summary
Can Weather Patterns Contribute to Predicting Winter Flood Magnitudes Using Machine Learning?
Emma Ford, Manuela I. Brunner, Hannah Christensen, and Louise Slater
EGUsphere, https://doi.org/10.5194/egusphere-2025-1493,https://doi.org/10.5194/egusphere-2025-1493, 2025
Short summary
What is a drought-to-flood transition? Pitfalls and recommendations for defining consecutive hydrological extreme events
Bailey J. Anderson, Eduardo Muñoz-Castro, Lena M. Tallaksen, Alessia Matano, Jonas Götte, Rachael Armitage, Eugene Magee, and Manuela I. Brunner
EGUsphere, https://doi.org/10.5194/egusphere-2025-1391,https://doi.org/10.5194/egusphere-2025-1391, 2025
Short summary
How well do hydrological models simulate streamflow extremes and drought-to-flood transitions?
Eduardo Muñoz-Castro, Bailey J. Anderson, Paul C. Astagneau, Daniel L. Swain, Pablo A. Mendoza, and Manuela I. Brunner
EGUsphere, https://doi.org/10.5194/egusphere-2025-781,https://doi.org/10.5194/egusphere-2025-781, 2025
Short summary
Impact of bias adjustment strategy on ensemble projections of hydrological extremes
Paul C. Astagneau, Raul R. Wood, Mathieu Vrac, Sven Kotlarski, Pradeebane Vaittinada Ayar, Bastien François, and Manuela I. Brunner
EGUsphere, https://doi.org/10.5194/egusphere-2024-3966,https://doi.org/10.5194/egusphere-2024-3966, 2025
Short summary

Related subject area

Subject: Catchment hydrology | Techniques and Approaches: Modelling approaches
Assessing the adequacy of traditional hydrological models for climate change impact studies: a case for long short-term memory (LSTM) neural networks
Jean-Luc Martel, François Brissette, Richard Arsenault, Richard Turcotte, Mariana Castañeda-Gonzalez, William Armstrong, Edouard Mailhot, Jasmine Pelletier-Dumont, Gabriel Rondeau-Genesse, and Louis-Philippe Caron
Hydrol. Earth Syst. Sci., 29, 2811–2836, https://doi.org/10.5194/hess-29-2811-2025,https://doi.org/10.5194/hess-29-2811-2025, 2025
Short summary
Assessing the value of high-resolution data and parameter transferability across temporal scales in hydrological modeling: a case study in northern China
Mahmut Tudaji, Yi Nan, and Fuqiang Tian
Hydrol. Earth Syst. Sci., 29, 2633–2654, https://doi.org/10.5194/hess-29-2633-2025,https://doi.org/10.5194/hess-29-2633-2025, 2025
Short summary
Technical note: How many models do we need to simulate hydrologic processes across large geographical domains?
Wouter J. M. Knoben, Ashwin Raman, Gaby J. Gründemann, Mukesh Kumar, Alain Pietroniro, Chaopeng Shen, Yalan Song, Cyril Thébault, Katie van Werkhoven, Andrew W. Wood, and Martyn P. Clark
Hydrol. Earth Syst. Sci., 29, 2361–2375, https://doi.org/10.5194/hess-29-2361-2025,https://doi.org/10.5194/hess-29-2361-2025, 2025
Short summary
CONCN: a high-resolution, integrated surface water–groundwater ParFlow modeling platform of continental China
Chen Yang, Zitong Jia, Wenjie Xu, Zhongwang Wei, Xiaolang Zhang, Yiguang Zou, Jeffrey McDonnell, Laura Condon, Yongjiu Dai, and Reed Maxwell
Hydrol. Earth Syst. Sci., 29, 2201–2218, https://doi.org/10.5194/hess-29-2201-2025,https://doi.org/10.5194/hess-29-2201-2025, 2025
Short summary
Evaluating the effects of topography and land use change on hydrological signatures: a comparative study of two adjacent watersheds
Haifan Liu, Haochen Yan, and Mingfu Guan
Hydrol. Earth Syst. Sci., 29, 2109–2132, https://doi.org/10.5194/hess-29-2109-2025,https://doi.org/10.5194/hess-29-2109-2025, 2025
Short summary

Cited articles

Addor, N., Rössler, O., Köplin, N., Huss, M., Weingartner, R., and Seibert, J.: Robust changes and sources of uncertainty in the projected hydrological regimes of Swiss catchments, Water Resour. Res., 50, 1–22, https://doi.org/10.1002/2014WR015549, 2014. a, b, c
Alderlieste, M., Van Lanen, H., and Wanders, N.: Future low flows and hydrological drought: How certain are these for Europe?, in: Proceedings of FRIEND-Water 2014, vol. 363, IAHS, Montpellier, 60–65, 2014. a
Anghileri, D., Voisin, N., Castelletti, A., Pianosi, F., Nijssen, B., and Lettenmaier, D.: Value of long-term streamflow forecasts to reservoir operations for water supply in snow-dominated river catchments, Water Resour. Res., 52, 4209–4225, https://doi.org/10.1002/2015WR017864, 2016. a
Aon Benfield: 2016 annual global climate and catastrophe report, Tech. rep., Aon Benfield, available at: http://thoughtleadership.aonbenfield.com/Documents/20170117-ab-if-annual-climate-catastrophe-report.pdf (last access: 15 March 2019), 2016. a
Arnell, N. W.: The effect of climate change on hydrological regimes in Europe, Global Environ. Change, 9, 5–23, https://doi.org/10.1016/S0959-3780(98)00015-6, 1999. a
Download
Short summary
River flow regimes are expected to change and so are extreme flow regimes. We propose two methods for estimating extreme flow regimes and show on a data set from Switzerland how these extreme regimes are expected to change. Our results show that changes in low- and high-flow regimes are distinct for rainfall- and melt-dominated regions. Our findings provide guidance in water resource planning and management.
Share