Articles | Volume 24, issue 11
Hydrol. Earth Syst. Sci., 24, 5423–5438, 2020
https://doi.org/10.5194/hess-24-5423-2020
Hydrol. Earth Syst. Sci., 24, 5423–5438, 2020
https://doi.org/10.5194/hess-24-5423-2020
Research article
19 Nov 2020
Research article | 19 Nov 2020

Effects of climate anomalies on warm-season low flows in Switzerland

Marius G. Floriancic et al.

Related authors

Vortex streets to the lee of Madeira in a km-resolution regional climate model
Qinggang Gao, Christian Zeman, Jesus Vergara‑Temprado, Daniela Lima, Peter Molnar, and Christoph Schär
EGUsphere, https://doi.org/10.5194/egusphere-2022-965,https://doi.org/10.5194/egusphere-2022-965, 2022
This preprint is open for discussion and under review for Weather and Climate Dynamics (WCD).
Short summary
Toward a general calibration of the Swiss plate geophone system for fractional bedload transport
Tobias Nicollier, Gilles Antoniazza, Lorenz Ammann, Dieter Rickenmann, and James W. Kirchner
Earth Surf. Dynam., 10, 929–951, https://doi.org/10.5194/esurf-10-929-2022,https://doi.org/10.5194/esurf-10-929-2022, 2022
Short summary
The Pan-Arctic Catchment Database (ARCADE)
Niek Jesse Speetjens, Gustaf Hugelius, Thomas Gumbricht, Hugues Lantuit, Wouter Berghuijs, Philip Pika, Amanda Poste, and Jorien Vonk
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-269,https://doi.org/10.5194/essd-2022-269, 2022
Preprint under review for ESSD
Short summary
Natural climate variability is an important aspect of future projections of snow water resources and rain-on-snow events
Michael Schirmer, Adam Winstral, Tobias Jonas, Paolo Burlando, and Nadav Peleg
The Cryosphere, 16, 3469–3488, https://doi.org/10.5194/tc-16-3469-2022,https://doi.org/10.5194/tc-16-3469-2022, 2022
Short summary
Canopy structure, topography and weather are equally important drivers of small-scale snow cover dynamics in sub-alpine forests
Giulia Mazzotti, Clare Webster, Louis Quéno, Bertrand Cluzet, and Tobias Jonas
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2022-273,https://doi.org/10.5194/hess-2022-273, 2022
Preprint under review for HESS
Short summary

Related subject area

Subject: Catchment hydrology | Techniques and Approaches: Stochastic approaches
A geostatistical spatially varying coefficient model for mean annual runoff that incorporates process-based simulations and short records
Thea Roksvåg, Ingelin Steinsland, and Kolbjørn Engeland
Hydrol. Earth Syst. Sci., 26, 5391–5410, https://doi.org/10.5194/hess-26-5391-2022,https://doi.org/10.5194/hess-26-5391-2022, 2022
Short summary
Low-flow estimation beyond the mean – expectile loss and extreme gradient boosting for spatiotemporal low-flow prediction in Austria
Johannes Laimighofer, Michael Melcher, and Gregor Laaha
Hydrol. Earth Syst. Sci., 26, 4553–4574, https://doi.org/10.5194/hess-26-4553-2022,https://doi.org/10.5194/hess-26-4553-2022, 2022
Short summary
Impact of bias nonstationarity on the performance of uni- and multivariate bias-adjusting methods: a case study on data from Uccle, Belgium
Jorn Van de Velde, Matthias Demuzere, Bernard De Baets, and Niko E. C. Verhoest
Hydrol. Earth Syst. Sci., 26, 2319–2344, https://doi.org/10.5194/hess-26-2319-2022,https://doi.org/10.5194/hess-26-2319-2022, 2022
Short summary
A space–time Bayesian hierarchical modeling framework for projection of seasonal maximum streamflow
Álvaro Ossandón, Manuela I. Brunner, Balaji Rajagopalan, and William Kleiber
Hydrol. Earth Syst. Sci., 26, 149–166, https://doi.org/10.5194/hess-26-149-2022,https://doi.org/10.5194/hess-26-149-2022, 2022
Short summary
Parsimonious statistical learning models for low-flow estimation
Johannes Laimighofer, Michael Melcher, and Gregor Laaha
Hydrol. Earth Syst. Sci., 26, 129–148, https://doi.org/10.5194/hess-26-129-2022,https://doi.org/10.5194/hess-26-129-2022, 2022
Short summary

Cited articles

Bradford, M. J. and Heinonen, J. S.: Low Flows, Instream Flow Needs and Fish Ecology in Small Streams, Can. Water Resour. J., 33, 165–180, https://doi.org/10.4296/cwrj3302165, 2008. 
CH2018: CH2018 – Climate Scenarios for Switzerland, Technical Report, National Centre for Climate Services, Zurich, available at: https://www.nccs.admin.ch/nccs/en/home/klimawandel-und-auswirkungen/schweizer-klimaszenarien/technical-report.html (last access: 12 February 2020), 2018. 
CLC: CLC 2018 — Copernicus Land Monitoring Service, available at: https://land.copernicus.eu/pan-european/corine-land-cover/clc2018 (last access: 12 February 2020), 2018. 
Cooper, M. G., Schaperow, J. R., Cooley, S. W., Alam, S., Smith, L. C., and Lettenmaier, D. P.: Climate Elasticity of Low Flows in the Maritime Western U.S. Mountains, Water Resour. Res., 54, 5602–5619, https://doi.org/10.1029/2018WR022816, 2018. 
Demirel, M. C., Booij, M. J., and Hoekstra, A. Y.: Impacts of climate change on the seasonality of low flows in 134 catchments in the River Rhine basin using an ensemble of bias-corrected regional climate simulations, Hydrol. Earth Syst. Sci., 17, 4241–4257, https://doi.org/10.5194/hess-17-4241-2013, 2013. 
Download
Short summary
Low river flows affect societies and ecosystems. Here we study how precipitation and potential evapotranspiration shape low flows across a network of 380 Swiss catchments. Low flows in these rivers typically result from below-average precipitation and above-average potential evapotranspiration. Extreme low flows result from long periods of the combined effects of both drivers.