Articles | Volume 24, issue 4
https://doi.org/10.5194/hess-24-1721-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-24-1721-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
09 Apr 2020
Research article |
| 09 Apr 2020
| 09 Apr 2020
Long-term changes in central European river discharge for 1869–2016: impact of changing snow covers, reservoir constructions and an intensified hydrological cycle
Institute of Environmental Science and Geography, University of Potsdam, Karl-Liebknecht-Straße 24–25, 14476 Potsdam, Germany
Invited contribution by Erwin Rottler, recipient of the EGU Climate: Past, Present & Future Outstanding Student Poster and PICO Award 2018.
Till Francke
Institute of Environmental Science and Geography, University of Potsdam, Karl-Liebknecht-Straße 24–25, 14476 Potsdam, Germany
Gerd Bürger
Institute of Environmental Science and Geography, University of Potsdam, Karl-Liebknecht-Straße 24–25, 14476 Potsdam, Germany
Axel Bronstert
Institute of Environmental Science and Geography, University of Potsdam, Karl-Liebknecht-Straße 24–25, 14476 Potsdam, Germany
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Gerd Bürger and Maik Heistermann
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Maik Heistermann, Till Francke, Lena Scheiffele, Katya Dimitrova Petrova, Christian Budach, Martin Schrön, Benjamin Trost, Daniel Rasche, Andreas Güntner, Veronika Döpper, Michael Förster, Markus Köhli, Lisa Angermann, Nikolaos Antonoglou, Manuela Zude-Sasse, and Sascha E. Oswald
Earth Syst. Sci. Data, 15, 3243–3262, https://doi.org/10.5194/essd-15-3243-2023, https://doi.org/10.5194/essd-15-3243-2023, 2023
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Cosmic-ray neutron sensing (CRNS) allows for the non-invasive estimation of root-zone soil water content (SWC). The signal observed by a single CRNS sensor is influenced by the SWC in a radius of around 150 m (the footprint). Here, we have put together a cluster of eight CRNS sensors with overlapping footprints at an agricultural research site in north-east Germany. That way, we hope to represent spatial SWC heterogeneity instead of retrieving just one average SWC estimate from a single sensor.
Lena Katharina Schmidt, Till Francke, Peter Martin Grosse, Christoph Mayer, and Axel Bronstert
Hydrol. Earth Syst. Sci., 27, 1841–1863, https://doi.org/10.5194/hess-27-1841-2023, https://doi.org/10.5194/hess-27-1841-2023, 2023
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We present a suitable method to reconstruct sediment export from decadal records of hydroclimatic predictors (discharge, precipitation, temperature) and shorter suspended sediment measurements. This lets us fill the knowledge gap on how sediment export from glacierized high-alpine areas has responded to climate change. We find positive trends in sediment export from the two investigated nested catchments with step-like increases around 1981 which are linked to crucial changes in glacier melt.
Omar Seleem, Georgy Ayzel, Axel Bronstert, and Maik Heistermann
Nat. Hazards Earth Syst. Sci., 23, 809–822, https://doi.org/10.5194/nhess-23-809-2023, https://doi.org/10.5194/nhess-23-809-2023, 2023
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Data-driven models are becoming more of a surrogate that overcomes the limitations of the computationally expensive 2D hydrodynamic models to map urban flood hazards. However, the model's ability to generalize outside the training domain is still a major challenge. We evaluate the performance of random forest and convolutional neural networks to predict urban floodwater depth and investigate their transferability outside the training domain.
Lena Katharina Schmidt, Till Francke, Erwin Rottler, Theresa Blume, Johannes Schöber, and Axel Bronstert
Earth Surf. Dynam., 10, 653–669, https://doi.org/10.5194/esurf-10-653-2022, https://doi.org/10.5194/esurf-10-653-2022, 2022
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Climate change fundamentally alters glaciated high-alpine areas, but it is unclear how this affects riverine sediment transport. As a first step, we aimed to identify the most important processes and source areas in three nested catchments in the Ötztal, Austria, in the past 15 years. We found that areas above 2500 m were crucial and that summer rainstorms were less influential than glacier melt. These findings provide a baseline for studies on future changes in high-alpine sediment dynamics.
Maik Heistermann, Heye Bogena, Till Francke, Andreas Güntner, Jannis Jakobi, Daniel Rasche, Martin Schrön, Veronika Döpper, Benjamin Fersch, Jannis Groh, Amol Patil, Thomas Pütz, Marvin Reich, Steffen Zacharias, Carmen Zengerle, and Sascha Oswald
Earth Syst. Sci. Data, 14, 2501–2519, https://doi.org/10.5194/essd-14-2501-2022, https://doi.org/10.5194/essd-14-2501-2022, 2022
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This paper presents a dense network of cosmic-ray neutron sensing (CRNS) to measure spatio-temporal soil moisture patterns during a 2-month campaign in the Wüstebach headwater catchment in Germany. Stationary, mobile, and airborne CRNS technology monitored the root-zone water dynamics as well as spatial heterogeneity in the 0.4 km2 area. The 15 CRNS stations were supported by a hydrogravimeter, biomass sampling, and a wireless soil sensor network to facilitate holistic hydrological analysis.
Heye Reemt Bogena, Martin Schrön, Jannis Jakobi, Patrizia Ney, Steffen Zacharias, Mie Andreasen, Roland Baatz, David Boorman, Mustafa Berk Duygu, Miguel Angel Eguibar-Galán, Benjamin Fersch, Till Franke, Josie Geris, María González Sanchis, Yann Kerr, Tobias Korf, Zalalem Mengistu, Arnaud Mialon, Paolo Nasta, Jerzy Nitychoruk, Vassilios Pisinaras, Daniel Rasche, Rafael Rosolem, Hami Said, Paul Schattan, Marek Zreda, Stefan Achleitner, Eduardo Albentosa-Hernández, Zuhal Akyürek, Theresa Blume, Antonio del Campo, Davide Canone, Katya Dimitrova-Petrova, John G. Evans, Stefano Ferraris, Félix Frances, Davide Gisolo, Andreas Güntner, Frank Herrmann, Joost Iwema, Karsten H. Jensen, Harald Kunstmann, Antonio Lidón, Majken Caroline Looms, Sascha Oswald, Andreas Panagopoulos, Amol Patil, Daniel Power, Corinna Rebmann, Nunzio Romano, Lena Scheiffele, Sonia Seneviratne, Georg Weltin, and Harry Vereecken
Earth Syst. Sci. Data, 14, 1125–1151, https://doi.org/10.5194/essd-14-1125-2022, https://doi.org/10.5194/essd-14-1125-2022, 2022
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Monitoring of increasingly frequent droughts is a prerequisite for climate adaptation strategies. This data paper presents long-term soil moisture measurements recorded by 66 cosmic-ray neutron sensors (CRNS) operated by 24 institutions and distributed across major climate zones in Europe. Data processing followed harmonized protocols and state-of-the-art methods to generate consistent and comparable soil moisture products and to facilitate continental-scale analysis of hydrological extremes.
Till Francke, Maik Heistermann, Markus Köhli, Christian Budach, Martin Schrön, and Sascha E. Oswald
Geosci. Instrum. Method. Data Syst., 11, 75–92, https://doi.org/10.5194/gi-11-75-2022, https://doi.org/10.5194/gi-11-75-2022, 2022
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Cosmic-ray neutron sensing (CRNS) is a non-invasive tool for measuring hydrogen pools like soil moisture, snow, or vegetation. This study presents a directional shielding approach, aiming to measure in specific directions only. The results show that non-directional neutron transport blurs the signal of the targeted direction. For typical instruments, this does not allow acceptable precision at a daily time resolution. However, the mere statistical distinction of two rates is feasible.
Maik Heistermann, Till Francke, Martin Schrön, and Sascha E. Oswald
Hydrol. Earth Syst. Sci., 25, 4807–4824, https://doi.org/10.5194/hess-25-4807-2021, https://doi.org/10.5194/hess-25-4807-2021, 2021
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Cosmic-ray neutron sensing (CRNS) is a powerful technique for retrieving representative estimates of soil moisture in footprints extending over hectometres in the horizontal and decimetres in the vertical. This study, however, demonstrates the potential of CRNS to obtain spatio-temporal patterns of soil moisture beyond isolated footprints. To that end, we analyse data from a unique observational campaign that featured a dense network of more than 20 neutron detectors in an area of just 1 km2.
Erwin Rottler, Axel Bronstert, Gerd Bürger, and Oldrich Rakovec
Hydrol. Earth Syst. Sci., 25, 2353–2371, https://doi.org/10.5194/hess-25-2353-2021, https://doi.org/10.5194/hess-25-2353-2021, 2021
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The mesoscale hydrological model (mHM) forced with an ensemble of climate projection scenarios was used to assess potential future changes in flood seasonality in the Rhine River basin. Results indicate that future changes in flood characteristics are controlled by increases in precipitation sums and diminishing snowpacks. The decreases in snowmelt can counterbalance increasing precipitation, resulting in only small and transient changes in streamflow maxima.
Cited articles
Bárdossy, A. and Caspary, H. J.:
Detection of Climate Change in Europe by Analyzing European Atmospheric Circulation Patterns from 1881 to 1989,
Theor. Appl. Climatol.,
42, 155–167, https://doi.org/10.1007/BF00866871, 1990. a, b, c
Barnett, T. P., Adam, J. C., and Lettenmaier, D. P.:
Potential Impacts of a Warming Climate on Water Availability in Snow-Dominated Regions,
Nature,
438, 303–309, https://doi.org/10.1038/nature04141, 2005. a
Begert, M. and Frei, C.:
Long-Term Area-Mean Temperature Series for Switzerland – Combining Homogenized Station Data and High Resolution Grid Data,
Int. J. Climatol.,
38, 2792–2807, https://doi.org/10.1002/joc.5460, 2018. a
Begert, M., Schlegel, T., and Kirchhofer, W.:
Homogeneous Temperature and Precipitation Series of Switzerland from 1864 to 2000,
Int. J. Climatol.,
25, 65–80, https://doi.org/10.1002/joc.1118, 2005. a, b, c, d
Belz, J. U., Brahmer, G., Buiteveld, H., Engel, H., Grabher, R., Hodel, H., Krahe, P., Lammersen, R., Larina, M., Mendel, H.-G., Meuser, A., Müller, G., Plonka, B., Pfister, L., and van Vuuren, W.:
Das Abflussregime des Rheins und seiner Nebenflüsse im 20. Jahrhundert. Analyse, Veränderungen und Trends,
Tech. Rep. Bericht Nr. I-22,
Internationale Kommission fur die Hydrologie des Rheingebietes (KHR),
Utrecht, Netherlands, 2007. a, b, c
Berghuijs, W. R., Harrigan, S., Molnar, P., Slater, L. J., and Kirchner, J. W.:
The Relative Importance of Different Flood-Generating Mechanisms Across Europe,
Water Resour. Res.,
55, 4582–4593, https://doi.org/10.1029/2019WR024841, 2019. a
Birsan, M.-V., Molnar, P., Burlando, P., and Pfaundler, M.:
Streamflow Trends in Switzerland,
J. Hydrol.,
314, 312–329, https://doi.org/10.1016/j.jhydrol.2005.06.008, 2005. a, b, c
Blöschl, G., Hall, J., Parajka, J., Perdigão, R. A. P., Merz, B., Arheimer, B., Aronica, G. T., Bilibashi, A., Bonacci, O., Borga, M., Čanjevac, I., Castellarin, A., Chirico, G. B., Claps, P., Fiala, K., Frolova, N., Gorbachova, L., Gül, A., Hannaford, J., Harrigan, S., Kireeva, M., Kiss, A., Kjeldsen, T. R., Kohnová, S., Koskela, J. J., Ledvinka, O., Macdonald, N., Mavrova-Guirguinova, M., Mediero, L., Merz, R., Molnar, P., Montanari, A., Murphy, C., Osuch, M., Ovcharuk, V., Radevski, I., Rogger, M., Salinas, J. L., Sauquet, E., Šraj, M., Szolgay, J., Viglione, A., Volpi, E., Wilson, D., Zaimi, K., and Živković, N.:
Changing climate shifts timing of European floods,
Science,
357, 588–590, https://doi.org/10.1126/science.aan2506, 2017. a
Blöschl, G., Hall, J., Viglione, A., Perdigão, R. A. P., Parajka, J., Merz, B., Lun, D., Arheimer, B., Aronica, G. T., Bilibashi, A., Boháč, M., Bonacci, O., Borga, M., Čanjevac, I., Castellarin, A., Chirico, G. B., Claps, P., Frolova, N., Ganora, D., Gorbachova, L., Gül, A., Hannaford, J., Harrigan, S., Kireeva, M., Kiss, A., Kjeldsen, T. R., Kohnová, S., Koskela, J. J., Ledvinka, O., Macdonald, N., Mavrova-Guirguinova, M., Mediero, L., Merz, R., Molnar, P., Montanari, A., Murphy, C., Osuch, M., Ovcharuk, V., Radevski, I., Salinas, J. L., Sauquet, E., Šraj, M., Szolgay, J., Volpi, E., Wilson, D., Zaimi, K., and Živković, N.:
Changing climate both increases and decreases European river floods,
Nature,
573, 108–111, https://doi.org/10.1038/s41586-019-1495-6, 2019. a
Bosshard, T., Carambia, M., Goergen, K., Kotlarski, S., Krahe, P., Zappa, M., and Schär, C.:
Quantifying uncertainty sources in an ensemble of hydrological climate-impact projections,
Water Resour. Res.,
49, 1523–1536, https://doi.org/10.1029/2011WR011533, 2013. a
Bronaugh, D. and Werner, A.:
Zyp: Zhang + Yue-Pilon Trends Package, R package version 0.10-1,
Pacific Climate Impacts Consortium, University of Victoria, Victoria, Canada, 2013. a
Bronstert, A., Bárdossy, A., Bismuth, C., Buiteveld, H., Disse, M., Engel, H., Fritsch, U., Hundecha, Y., Lammersen, R., Niehoff, D., and Ritter, N.:
Multi-scale modelling of land-use change and river training effects on floods in the Rhine basin,
River Res. Appl.,
23, 1102–1125, https://doi.org/10.1002/rra.1036, 2007. a
Coumou, D. and Rahmstorf, S.:
A decade of weather extremes,
Nat. Clim. Change,
2, 491–496, https://doi.org/10.1038/nclimate1452, 2012. a
Duethmann, D. and Blöschl, G.: Why has catchment evaporation increased in the past 40 years? A data-based study in Austria, Hydrol. Earth Syst. Sci., 22, 5143–5158, https://doi.org/10.5194/hess-22-5143-2018, 2018. a
Farinotti, D., Pistocchi, A., and Huss, M.:
From dwindling ice to headwater lakes: could dams replace glaciers in the European Alps?,
Environ. Res. Lett.,
11, 054 022, https://doi.org/10.1088/1748-9326/11/5/054022, 2016. a
Frei, C. and Schär, C.: Detection Probability of Trends in Rare Events:
Theory and Application to Heavy Precipitation in the Alpine Region,
J. Climate,
14, 1568–1584, https://doi.org/10.1175/1520-0442(2001)014<1568:DPOTIR>2.0.CO;2, 2001. a
Frei, C., Davies, H. C., Gurtz, J., and Schär, C.:
Climate dynamics and extreme precipitation and flood events in Central Europe,
Integrated Assessment,
1, 281–300, https://doi.org/10.1023/A:1018983226334, 2000. a
Freudiger, D., Kohn, I., Stahl, K., and Weiler, M.: Large-scale analysis of changing frequencies of rain-on-snow events with flood-generation potential, Hydrol. Earth Syst. Sci., 18, 2695–2709, https://doi.org/10.5194/hess-18-2695-2014, 2014. a
Häkkinen, S., Rhines, P. B., and Worthen, D. L.:
Atmospheric Blocking and Atlantic Multidecadal Ocean Variability,
Science,
334, 655–659, https://doi.org/10.1126/science.1205683, 2011. a, b, c
Hanson, R. T., Dettinger, M. D., and Newhouse, M. W.:
Relations between climatic variability and hydrologic time series from four alluvial basins across the southwestern United States,
Hydrogeol. J.,
14, 1122–1146, https://doi.org/10.1007/s10040-006-0067-7, 2006. a
Held, I. M. and Soden, B. J.:
Water Vapor Feedback and Global Warming,
Annu. Rev. Energ. Env.,
25, 441–475, https://doi.org/10.1146/annurev.energy.25.1.441, 2000. a, b
Huang, N. E., Shen, Z., Long, S. R., Wu, M. C., Shih, H. H., Zheng, Q., Yen, N.-C., Tung, C. C., and Liu, H. H.:
The Empirical Mode Decomposition and the Hilbert Spectrum for Nonlinear and Non-Stationary Time Series Analysis,
P. Roy. Soc. A-Math. Phy.,
454, 903–995, https://doi.org/10.1098/rspa.1998.0193, 1998. a
Huang, N. E., Shen, Z., and Long, S. R.:
A NEW VIEW OF NONLINEAR WATER WAVES: The Hilbert Spectrum,
Annu. Rev. Fluid Mech.,
31, 417–457, https://doi.org/10.1146/annurev.fluid.31.1.417, 1999. a
Huntington, T. G.:
Evidence for intensification of the global water cycle: Review and synthesis,
J. Hydrol.,
319, 83–95, https://doi.org/10.1016/j.jhydrol.2005.07.003, 2006. a, b
Hyndman, R. J. and Fan, Y.:
Sample Quantiles in Statistical Packages,
Am. Stat.,
50, 361–365, https://doi.org/10.2307/2684934, 1996. a
Kerr, R. A.:
A North Atlantic Climate Pacemaker for the Centuries,
Science,
288, 1984–1985, https://doi.org/10.1126/science.288.5473.1984, 2000. a, b, c
Kormann, C., Francke, T., Renner, M., and Bronstert, A.: Attribution of high resolution streamflow trends in Western Austria – an approach based on climate and discharge station data, Hydrol. Earth Syst. Sci., 19, 1225–1245, https://doi.org/10.5194/hess-19-1225-2015, 2015. a, b, c
Kreyling, J. and Henry, H. A. L.:
Vanishing winters in Germany: soil frost dynamics and snow cover trends, and ecological implications,
Clim. Res.,
46, 269–276, https://doi.org/10.3354/cr00996, 2011. a
Labat, D., Goddéris, Y., Probst, J. L., and Guyot, J. L.:
Evidence for global runoff increase related to climate warming,
Adv. Water Resour.,
27, 631–642, https://doi.org/10.1016/j.advwatres.2004.02.020, 2004. a, b
Laternser, M. and Schneebeli, M.: Long-
term snow climate trends of the Swiss Alps (1931–99),
Int. J. Climatol.,
23, 733–750, https://doi.org/10.1002/joc.912, 2003. a, b, c, d
Lavers, D., Prudhomme, C., and Hannah, D. M.:
European precipitation connections with large-scale mean sea-level pressure (MSLP) fields,
Hydrolog. Sci. J.,
58, 310–327, https://doi.org/10.1080/02626667.2012.754545, 2013. a
Lehmann, J., Coumou, D., and Frieler, K.:
Increased record-breaking precipitation events under global warming,
Climatic Change,
132, 501–515, https://doi.org/10.1007/s10584-015-1434-y, 2015. a, b, c
Luukko, P. J. J., Helske, J., and Räsänen, E.:
Introducing libeemd: a program package for performing the ensemble empirical mode decomposition,
Computation. Stat.,
31, 545–557, https://doi.org/10.1007/s00180-015-0603-9, 2016. a, b, c
Maniak, U.:
Einführung Hydrologie und Wasserwirtschaft,
in:
Hydrologie und Wasserwirtschaft: Eine Einführung für Ingenieure,
edited by:
Maniak, U.,
Springer Berlin Heidelberg, Berlin, Heidelberg, https://doi.org/10.1007/978-3-662-49087-7_1, 1–19, 2016. a
Mann, H. B.:
Nonparametric Tests Against Trend,
Econometrica,
13, 245–259, https://doi.org/10.2307/1907187, 1945. a
Marty, C.:
Regime shift of snow days in Switzerland,
Geophys. Res. Lett.,
35, L12501, https://doi.org/10.1029/2008GL033998, 2008. a, b
Marty, C., Schlögl, S., Bavay, M., and Lehning, M.: How much can we save? Impact of different emission scenarios on future snow cover in the Alps, The Cryosphere, 11, 517–529, https://doi.org/10.5194/tc-11-517-2017, 2017. a
Meile, T., Boillat, J.-L., and Schleiss, A. J.:
Hydropeaking indicators for characterization of the Upper-Rhone River in Switzerland,
Aquat. Sci.,
73, 171–182, https://doi.org/10.1007/s00027-010-0154-7, 2011. a, b, c, d
Merz, R. and Blöschl, G.:
A process typology of regional floods,
Water Resour. Res.,
39, 1340, https://doi.org/10.1029/2002WR001952, 2003. a
Moberg, A., Jones, P. D., Lister, D., Walther, A., Brunet, M., Jacobeit, J., Alexander, L. V., Della‐Marta, P. M., Luterbacher, J., Yiou, P., Chen, D., Tank, A. M. G. K., Saladié, O., Sigró, J., Aguilar, E., Alexandersson, H., Almarza, C., Auer, I., Barriendos, M., Begert, M., Bergström, H., Böhm, R., Butler, C. J., Caesar, J., Drebs, A., Founda, D., Gerstengarbe, F.-W., Micela, G., Maugeri, M., Österle, H., Pandzic, K., Petrakis, M., Srnec, L., Tolasz, R., Tuomenvirta, H., Werner, P. C., Linderholm, H., Philipp, A., Wanner, H., and Xoplaki, E.:
Indices for daily temperature and precipitation extremes in Europe analyzed for the period 1901–2000,
J. Geophys. Res.-Atmos.,
111, D22106, https://doi.org/10.1029/2006JD007103, 2006. a
Mueller, E. N. and Pfister, A.:
Increasing occurrence of high-intensity rainstorm events relevant for the generation of soil erosion in a temperate lowland region in Central Europe,
J. Hydrol.,
411, 266–278, https://doi.org/10.1016/j.jhydrol.2011.10.005, 2011. a
Murawski, A., Vorogushyn, S., Bürger, G., Gerlitz, L., and Merz, B.:
Do Changing Weather Types Explain Observed Climatic Trends in the Rhine Basin? An Analysis of Within- and Between-Type Changes,
J. Geophys. Res.-Atmos.,
123, 1562–1584, https://doi.org/10.1002/2017JD026654, 2018. a
Musselman, K. N., Clark, M. P., Liu, C., Ikeda, K., and Rasmussen, R.:
Slower snowmelt in a warmer world,
Nat. Clim. Change,
7, 214–219, https://doi.org/10.1038/nclimate3225, 2017. a, b
Norris, J. R. and Wild, M.:
Trends in aerosol radiative effects over Europe inferred from observed cloud cover, solar “dimming,” and solar “brightening”,
J. Geophys. Res.-Atmos.,
112, D08214, https://doi.org/10.1029/2006JD007794, 2007. a, b
Pardé, M.:
Fleuves et rivières,
Armand Colin, Paris, 1933. a
Parker, D., Folland, C., Scaife, A., Knight, J., Colman, A., Baines, P., and Dong, B.:
Decadal to multidecadal variability and the climate change background,
J. Geophys. Res.-Atmos.,
112, D18115, https://doi.org/10.1029/2007JD008411, 2007. a, b
Pavan, V., Tibaldi, S., and Branković, Č.:
Seasonal prediction of blocking frequency: Results from winter ensemble experiments,
Q. J. Roy. Meteor. Soc.,
126, 2125–2142, https://doi.org/10.1002/qj.49712656708, 2000. a, b
Peings, Y. and Magnusdottir, G.:
Forcing of the wintertime atmospheric circulation by the multidecadal fluctuations of the North Atlantic ocean,
Environ. Res. Lett.,
9, 034018, https://doi.org/10.1088/1748-9326/9/3/034018, 2014. a, b, c, d
Pfister, C., Weingartner, R., and Luterbacher, J.:
Hydrological winter droughts over the last 450 years in the Upper Rhine basin: a methodological approach,
Hydrolog. Sci. J.,
51, 966–985, https://doi.org/10.1623/hysj.51.5.966, 2006. a, b
Pérez Ciria, T., Labat, D., and Chiogna, G.:
Detection and interpretation of recent and historical streamflow alterations caused by river damming and hydropower production in the Adige and Inn river basins using continuous, discrete and multiresolution wavelet analysis,
J. Hydrol.,
578, 124021, https://doi.org/10.1016/j.jhydrol.2019.124021, 2019. a
Rössler, O., Froidevaux, P., Börst, U., Rickli, R., Martius, O., and Weingartner, R.: Retrospective analysis of a nonforecasted rain-on-snow flood in the Alps – a matter of model limitations or unpredictable nature?, Hydrol. Earth Syst. Sci., 18, 2265–2285, https://doi.org/10.5194/hess-18-2265-2014, 2014. a
Ruckstuhl, C. and Norris, J. R.:
How do aerosol histories affect solar “dimming” and “brightening” over Europe?: IPCC-AR4 models versus observations,
J. Geophys. Res.-Atmos.,
114, D00D04, https://doi.org/10.1029/2008JD011066, 2009. a
Ruckstuhl, C., Philipona, R., Behrens, K., Coen, M. C., Dürr, B., Heimo, A., Mätzler, C., Nyeki, S., Ohmura, A., Vuilleumier, L., Weller, M., Wehrli, C., and Zelenka, A.:
Aerosol and cloud effects on solar brightening and the recent rapid warming,
Geophys. Res. Lett.,
35, L12708, https://doi.org/10.1029/2008GL034228, 2008. a
Schädler, B. and Weingartner, R.:
Impact of Climate Change on Water Resources in the Alpine Regions of Switzerland,
in:
The Handbook of Environmental Chemistry, Alpine Waters,
edited by: Bundi, U., Springer Berlin Heidelberg, Berlin, Heidelberg, https://doi.org/10.1007/978-3-540-88275-6_3, 59–69, 2010. a, b
Scheifinger, H., Menzel, A., Koch, E., and Peter, C.:
Trends of spring time frost events and phenological dates in Central Europe,
Theor. Appl. Climatol.,
74, 41–51, https://doi.org/10.1007/s00704-002-0704-6, 2003. a
Scherrer, S. C., Appenzeller, C., and Laternser, M.:
Trends in Swiss Alpine Snow Days: The Role of Local- and Large-Scale Climate Variability,
Geophys. Res. Lett.,
31, L13215, https://doi.org/10.1029/2004GL020255, 2004. a, b
Scherrer, S. C., Croci-Maspoli, M., Schwierz, C., and Appenzeller, C.:
Two-Dimensional indices of atmospheric blocking and their statistical relationship with winter climate patterns in the Euro-Atlantic region,
Int. J. Climatol.,
26, 233–249, https://doi.org/10.1002/joc.1250, 2006. a, b
Schmidli, J. and Frei, C.:
Trends of heavy precipitation and wet and dry spells in Switzerland during the 20th century,
Int. J. Climatol.,
25, 753–771, https://doi.org/10.1002/joc.1179, 2005. a
Schmocker-Fackel, P. and Naef, F.: Changes in flood frequencies in Switzerland since 1500, Hydrol. Earth Syst. Sci., 14, 1581–1594, https://doi.org/10.5194/hess-14-1581-2010, 2010. a
Schönwiese, C.-D. and Rapp, J.:
Climate trend atlas of Europe based on observations 1891–1990,
Springer Science & Business Media, Dordrecht, Netherlands,
https://doi.org/10.1007/978-94-015-8818-8, 1997. a
Sen, P. K.:
Estimates of the Regression Coefficient Based on Kendall's Tau,
J. Am. Stat. Assoc.,
63, 1379–1389, https://doi.org/10.1080/01621459.1968.10480934, 1968. a, b
Simpkins, G.:
Snow-related water woes,
Nat. Clim. Change,
8, 945, https://doi.org/10.1038/s41558-018-0330-7, 2018. a
Sodemann, H. and Zubler, E.:
Seasonal and inter-annual variability of the moisture sources for Alpine precipitation during 1995–2002,
Int. J. Climatol.,
30, 947–961, https://doi.org/10.1002/joc.1932, 2010. a, b
Speich, M. J. R., Bernhard, L., Teuling, A. J., and Zappa, M.:
Application of bivariate mapping for hydrological classification and analysis of temporal change and scale effects in Switzerland,
J. Hydrol.,
523, 804–821, https://doi.org/10.1016/j.jhydrol.2015.01.086, 2015. a
Spreafico, M. and Weingartner, R.:
The Hydrology of Switzerland – Selected aspects and results,
Water Series no. 7,
FOWG Reports, Berne, 2005. a
Stahl, K., Weiler, M., Kohn, I., Freudiger, D., Seibert, J., Vis, M., Gerlinger, K., and Böhm, M.:
The snow and glacier melt components of streamflow of the river Rhine and its tributaries considering the influence of climate change,
Synthesis Report I-25,
International Commission for the Hydrology of the Rhine Basin, Lelystad, Netherlands, 2016. a, b, c, d, e
Stein, O.:
The variability of Atlantic–European blocking as derived from long SLP time series,
Tellus A,
52, 225–236, https://doi.org/10.3402/tellusa.v52i3.12263, 2000. a
Stewart, I. T.:
Changes in snowpack and snowmelt runoff for key mountain regions,
Hydrol. Process.,
23, 78–94, https://doi.org/10.1002/hyp.7128, 2009. a, b
Sui, J. and Koehler, G.:
Rain-on-snow induced flood events in Southern Germany,
J. Hydrol.,
252, 205–220, https://doi.org/10.1016/S0022-1694(01)00460-7, 2001. a
Torres, M. E., Colominas, M. A., Schlotthauer, G., and Flandrin, P.:
A complete ensemble empirical mode decomposition with adaptive noise,
in:
2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
IEEE, Prague, Czech Republic, https://doi.org/10.1109/ICASSP.2011.5947265, 4144–4147, 2011. a
Truffer, B., Markard, J., Bratrich, C., and Wehrli, B.:
Green Electricity from Alpine Hydropower Plants,
Mt. Res. Dev.,
21, 19–25, https://doi.org/10.1659/0276-4741(2001)021[0019:GEFAHP]2.0.CO;2, 2001. a
Verbunt, M., Zwaaftink, M. G., and Gurtz, J.:
The hydrologic impact of land cover changes and hydropower stations in the Alpine Rhine basin,
Ecol. Model.,
187, 71–84, https://doi.org/10.1016/j.ecolmodel.2005.01.027, 2005. a
Vincent, L. A., Zhang, X., Bonsal, B. R., and Hogg, W. D.:
Homogenization of Daily Temperatures over Canada,
J. Climate,
15, 1322–1334, https://doi.org/10.1175/1520-0442(2002)015<1322:HODTOC>2.0.CO;2, 2002. a
Wagner, B., Hauer, C., Schoder, A., and Habersack, H.:
A review of hydropower in Austria: Past, present and future development,
Renewable and Sustainable Energy Reviews,
50, 304–314, https://doi.org/10.1016/j.rser.2015.04.169, 2015. a
Weingartner, R. and Aschwanden, H.:
Abflussregimes als Grundlage zur Abschätzung von Mittelwerten des Abflusses,
Hydrologischer Atlas der Schweiz – Tafel 5.2, Federal Office for the Environment, Bern,
1992. a
Wesemann, J., Holzmann, H., Schulz, K., and Herrnegger, M.:
Behandlung künstlicher Speicher und Überleitungen in der alpinen Niederschlags-Abfluss-Vorhersage,
Österreichische Wasser- und Abfallwirtschaft,
70, 485–496, https://doi.org/10.1007/s00506-018-0501-9, 2018. a
Wetter, O., Pfister, C., Weingartner, R., Luterbacher, J., Reist, T., and Trösch, J.:
The Largest Floods in the High Rhine Basin since 1268 Assessed from Documentary and Instrumental Evidence,
Hydrolog. Sci. J.,
56, 733–758, https://doi.org/10.1080/02626667.2011.583613, 2011. a, b, c, d
Weusthoff, T.:
Weather Type Classification at MeteoSwiss – Introduction of new automatic classification schemes, Arbeitsbericht MeteoSchweiz Nr. 235,
Bundesamt für Meteorologie und Klimatologie MeteoSchweiz, Zurich, 2011. a
Wielke, L.-M., Haimberger, L., and Hantel, M.:
Snow cover duration in Switzerland compared to Austria,
Meteorol. Z.,
13, 13–17, https://doi.org/10.1127/0941-2948/2004/0013-0013, 2004.
a
Wild, M., Ohmura, A., and Makowski, K.:
Impact of global dimming and brightening on global warming,
Geophys. Res. Lett.,
34, L04702, https://doi.org/10.1029/2006GL028031, 2007. a
Wildi, W., Dominik, J., Loizeau, J.-L., Thomas, R. L., Favarger, P.-Y., Haller, L., Perroud, A., and Peytremann, C.:
River, reservoir and lake sediment contamination by heavy metals D downstream from urban areas of Switzerland,
Lakes & Reservoirs: Science, Policy and Management for Sustainable Use,
9, 75–87, https://doi.org/10.1111/j.1440-1770.2004.00236.x, 2004. a
Wirth, E.:
Die Großschiffahrtsstraße Rhein-Main-Donau. Ein Weg Für Südosteuropa? – Kritische Bestandsaufnahme und Zukunftsperspektiven,
Mitteilungen der Fränkischen Geographischen Gesellschaft, Erlangen-Nürnberg,
Bd. 42, 33–102, 1995. a
Word Commision on Dams:
Dams and Development: A New Framework for Decision-Making: The Report of the World Commission on Dams,
Earthscan, London, 2000. a
Wu, X., Che, T., Li, X., Wang, N., and Yang, X.:
Slower Snowmelt in Spring Along With Climate Warming Across the Northern Hemisphere,
Geophys. Res. Lett.,
45, 12331–12339, https://doi.org/10.1029/2018GL079511, 2018. a
Wu, Z. and Huang, N. E.:
Ensemble Empirical Mode Decomposition: A Noise-Assisted Data Analysis Method,
Advances in Adaptive Data Analysis,
01, 1–41, https://doi.org/10.1142/S1793536909000047, 2009. a
Wu, Z., Huang, N. E., Long, S. R., and Peng, C.-K.:
On the Trend, Detrending, and Variability of Nonlinear and Nonstationary Time Series,
P. Natl. Acad. Sci. USA,
104, 14889–14894, https://doi.org/10.1073/pnas.0701020104, 2007. a
Zubler, E. M., Scherrer, S. C., Croci-Maspoli, M., Liniger, M. A., and Appenzeller, C.:
Key climate indices in Switzerland; expected changes in a future climate,
Climatic Change,
123, 255–271, https://doi.org/10.1007/s10584-013-1041-8, 2014. a
Short summary
In the attempt to identify and disentangle long-term impacts of changes in snow cover and precipitation along with reservoir constructions, we employ a set of analytical tools on hydro-climatic time series. We identify storage reservoirs as an important factor redistributing runoff from summer to winter. Furthermore, our results hint at more (intense) rainfall in recent decades. Detected increases in high discharge can be traced back to corresponding changes in precipitation.
In the attempt to identify and disentangle long-term impacts of changes in snow cover and...
