Articles | Volume 26, issue 4
https://doi.org/10.5194/hess-26-1063-2022
© Author(s) 2022. 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-26-1063-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Future water temperature of rivers in Switzerland under climate change investigated with physics-based models
School of Architecture, Civil and Environmental Engineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
WSL Institute for Snow and Avalanche Research (SLF), Davos, Switzerland
Bettina Schaefli
Institute of Geography & Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland
Institute of Earth Surface Dynamics (IDYST), University of Lausanne, Lausanne, Switzerland
Nander Wever
Department of Atmospheric and Oceanic Sciences, University of Colorado Boulder, Boulder, USA
Harry Zekollari
Laboratory of Hydraulics, Hydrology and Glaciology (VAW), Eidgenössische Technische Hochschule (ETH), Zurich, Switzerland
Swiss Federal Institute for Forest, Snow and Landscape Research (WSL), Birmensdorf, Switzerland
Department of Geoscience and Remote Sensing, Delft University of Technology, Delft, the Netherlands
Michael Lehning
School of Architecture, Civil and Environmental Engineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
WSL Institute for Snow and Avalanche Research (SLF), Davos, Switzerland
Hendrik Huwald
School of Architecture, Civil and Environmental Engineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
WSL Institute for Snow and Avalanche Research (SLF), Davos, Switzerland
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This work presents the first long-term (since 1962), daily, 1 km gridded dataset of snow depth and water storage for Switzerland. Its quality was assessed by comparing yearly, monthly, and weekly values to a higher-quality model and in-situ measurements. Results show good overall performance, though some limitations exist at low elevations and short timescales. Despite this, the dataset effectively captures trends, offering valuable insights for climate monitoring and elevation-based changes.
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We present a method to correct snow cover maps (represented in terms of snow water equivalent) to match better-quality maps. The correction can then be extended backwards and forwards in time for periods when better-quality maps are not available. The method is fast and gives good results. It is then applied to obtain a climatology of the snow cover in Switzerland over the past 60 years at a resolution of 1 d and 1 km. This is the first time that such a dataset has been produced.
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Understanding the impact of climate change on snow avalanche activity is crucial for safeguarding lives and infrastructure. Here, we project changes in avalanche activity in the Swiss Alps throughout the 21st century. Our findings reveal elevation-dependent patterns of change, indicating a decrease in dry-snow avalanches alongside an increase in wet-snow avalanches at elevations above the current treeline. These results underscore the necessity to revisit measures for avalanche risk mitigation.
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This preprint is open for discussion and under review for Hydrology and Earth System Sciences (HESS).
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Hydrol. Earth Syst. Sci., 29, 3545–3568, https://doi.org/10.5194/hess-29-3545-2025, https://doi.org/10.5194/hess-29-3545-2025, 2025
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EGUsphere, https://doi.org/10.5194/egusphere-2025-413, https://doi.org/10.5194/egusphere-2025-413, 2025
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This work presents the first long-term (since 1962), daily, 1 km gridded dataset of snow depth and water storage for Switzerland. Its quality was assessed by comparing yearly, monthly, and weekly values to a higher-quality model and in-situ measurements. Results show good overall performance, though some limitations exist at low elevations and short timescales. Despite this, the dataset effectively captures trends, offering valuable insights for climate monitoring and elevation-based changes.
Ella Gilbert, Denis Pishniak, José Abraham Torres, Andrew Orr, Michelle Maclennan, Nander Wever, and Kristiina Verro
The Cryosphere, 19, 597–618, https://doi.org/10.5194/tc-19-597-2025, https://doi.org/10.5194/tc-19-597-2025, 2025
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Samar Minallah, William Lipscomb, Gunter Leguy, and Harry Zekollari
EGUsphere, https://doi.org/10.5194/egusphere-2024-4152, https://doi.org/10.5194/egusphere-2024-4152, 2025
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We implemented a new modeling framework within an Earth system model to study the evolution of mountain glaciers under different climate scenarios and applied it to the European Alps. Alpine glaciers will lose a large volume fraction under current temperatures, with near complete ice loss under warmer scenarios. This is the first use of a 3D, higher-order ice flow model for regional-scale glacier simulations that will enable assessments of coupled land ice and Earth system processes.
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EGUsphere, https://doi.org/10.5194/egusphere-2024-4174, https://doi.org/10.5194/egusphere-2024-4174, 2025
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Global warming provokes permafrost to thaw, damaging landscapes and infrastructure. This study explores methods to slow this thawing at an alpine site. We investigate different methods based on passive and active cooling system. The best approach mixes both methods and manages heat flow, potentially allowing excess energy to be used locally.
Adrien Michel, Johannes Aschauer, Tobias Jonas, Stefanie Gubler, Sven Kotlarski, and Christoph Marty
Geosci. Model Dev., 17, 8969–8988, https://doi.org/10.5194/gmd-17-8969-2024, https://doi.org/10.5194/gmd-17-8969-2024, 2024
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We present a method to correct snow cover maps (represented in terms of snow water equivalent) to match better-quality maps. The correction can then be extended backwards and forwards in time for periods when better-quality maps are not available. The method is fast and gives good results. It is then applied to obtain a climatology of the snow cover in Switzerland over the past 60 years at a resolution of 1 d and 1 km. This is the first time that such a dataset has been produced.
Stephanie Mayer, Martin Hendrick, Adrien Michel, Bettina Richter, Jürg Schweizer, Heini Wernli, and Alec van Herwijnen
The Cryosphere, 18, 5495–5517, https://doi.org/10.5194/tc-18-5495-2024, https://doi.org/10.5194/tc-18-5495-2024, 2024
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Understanding the impact of climate change on snow avalanche activity is crucial for safeguarding lives and infrastructure. Here, we project changes in avalanche activity in the Swiss Alps throughout the 21st century. Our findings reveal elevation-dependent patterns of change, indicating a decrease in dry-snow avalanches alongside an increase in wet-snow avalanches at elevations above the current treeline. These results underscore the necessity to revisit measures for avalanche risk mitigation.
Harry Zekollari, Matthias Huss, Lilian Schuster, Fabien Maussion, David R. Rounce, Rodrigo Aguayo, Nicolas Champollion, Loris Compagno, Romain Hugonnet, Ben Marzeion, Seyedhamidreza Mojtabavi, and Daniel Farinotti
The Cryosphere, 18, 5045–5066, https://doi.org/10.5194/tc-18-5045-2024, https://doi.org/10.5194/tc-18-5045-2024, 2024
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Glaciers are major contributors to sea-level rise and act as key water resources. Here, we model the global evolution of glaciers under the latest generation of climate scenarios. We show that the type of observations used for model calibration can strongly affect the projections at the local scale. Our newly projected 21st century global mass loss is higher than the current community estimate as reported in the latest Intergovernmental Panel on Climate Change (IPCC) report.
Hongxiang Yu, Michael Lehning, Guang Li, Benjamin Walter, Jianping Huang, and Ning Huang
EGUsphere, https://doi.org/10.5194/egusphere-2024-2458, https://doi.org/10.5194/egusphere-2024-2458, 2024
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Cornices are overhanging snow accumulations that form on mountain crests. Previous studies focused on how cornices collapse, little is known about why they form in the first place, specifically how snow particles adhere together to form the front end of the cornice. This study looked at the movement of snow particles around a developing cornice to understand how they gather, the speed and angle at which the snow particles hit the cornice surface, and how this affects the shape of the cornice.
Sonja Wahl, Benjamin Walter, Franziska Aemisegger, Luca Bianchi, and Michael Lehning
The Cryosphere, 18, 4493–4515, https://doi.org/10.5194/tc-18-4493-2024, https://doi.org/10.5194/tc-18-4493-2024, 2024
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Wind-driven airborne transport of snow is a frequent phenomenon in snow-covered regions and a process difficult to study in the field as it is unfolding over large distances. Thus, we use a ring wind tunnel with infinite fetch positioned in a cold laboratory to study the evolution of the shape and size of airborne snow. With the help of stable water isotope analyses, we identify the hitherto unobserved process of airborne snow metamorphism that leads to snow particle rounding and growth.
Dylan Reynolds, Louis Quéno, Michael Lehning, Mahdi Jafari, Justine Berg, Tobias Jonas, Michael Haugeneder, and Rebecca Mott
The Cryosphere, 18, 4315–4333, https://doi.org/10.5194/tc-18-4315-2024, https://doi.org/10.5194/tc-18-4315-2024, 2024
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Information about atmospheric variables is needed to produce simulations of mountain snowpacks. We present a model that can represent processes that shape mountain snowpack, focusing on the accumulation of snow. Simulations show that this model can simulate the complex path that a snowflake takes towards the ground and that this leads to differences in the distribution of snow by the end of winter. Overall, this model shows promise with regard to improving forecasts of snow in mountains.
Benjamin Bouchard, Daniel F. Nadeau, Florent Domine, Nander Wever, Adrien Michel, Michael Lehning, and Pierre-Erik Isabelle
The Cryosphere, 18, 2783–2807, https://doi.org/10.5194/tc-18-2783-2024, https://doi.org/10.5194/tc-18-2783-2024, 2024
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Observations over several winters at two boreal sites in eastern Canada show that rain-on-snow (ROS) events lead to the formation of melt–freeze layers and that preferential flow is an important water transport mechanism in the sub-canopy snowpack. Simulations with SNOWPACK generally show good agreement with observations, except for the reproduction of melt–freeze layers. This was improved by simulating intercepted snow microstructure evolution, which also modulates ROS-induced runoff.
Moctar Dembélé, Mathieu Vrac, Natalie Ceperley, Sander J. Zwart, Josh Larsen, Simon J. Dadson, Grégoire Mariéthoz, and Bettina Schaefli
Proc. IAHS, 385, 121–127, https://doi.org/10.5194/piahs-385-121-2024, https://doi.org/10.5194/piahs-385-121-2024, 2024
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This study assesses the impact of climate change on the timing, seasonality and magnitude of mean annual minimum (MAM) flows and annual maximum flows (AMF) in the Volta River basin (VRB). Several climate change projection data are use to simulate river flow under multiple greenhouse gas emission scenarios. Future projections show that AMF could increase with various magnitude but negligible shift in time across the VRB, while MAM could decrease with up to 14 days of delay in occurrence.
Daniela Brito Melo, Armin Sigmund, and Michael Lehning
The Cryosphere, 18, 1287–1313, https://doi.org/10.5194/tc-18-1287-2024, https://doi.org/10.5194/tc-18-1287-2024, 2024
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Snow saltation – the transport of snow close to the surface – occurs when the wind blows over a snow-covered surface with sufficient strength. This phenomenon is represented in some climate models; however, with limited accuracy. By performing numerical simulations and a detailed analysis of previous works, we show that snow saltation is characterized by two regimes. This is not represented in climate models in a consistent way, which hinders the quantification of snow transport and sublimation.
Tom Müller, Matteo Roncoroni, Davide Mancini, Stuart N. Lane, and Bettina Schaefli
Hydrol. Earth Syst. Sci., 28, 735–759, https://doi.org/10.5194/hess-28-735-2024, https://doi.org/10.5194/hess-28-735-2024, 2024
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We investigate the role of a newly formed floodplain in an alpine glaciated catchment to store and release water. Based on field measurements, we built a numerical model to simulate the water fluxes and show that recharge occurs mainly due to the ice-melt-fed river. We identify three future floodplains, which could emerge from glacier retreat, and show that their combined storage leads to some additional groundwater storage but contributes little additional baseflow for the downstream river.
Anja Løkkegaard, Kenneth D. Mankoff, Christian Zdanowicz, Gary D. Clow, Martin P. Lüthi, Samuel H. Doyle, Henrik H. Thomsen, David Fisher, Joel Harper, Andy Aschwanden, Bo M. Vinther, Dorthe Dahl-Jensen, Harry Zekollari, Toby Meierbachtol, Ian McDowell, Neil Humphrey, Anne Solgaard, Nanna B. Karlsson, Shfaqat A. Khan, Benjamin Hills, Robert Law, Bryn Hubbard, Poul Christoffersen, Mylène Jacquemart, Julien Seguinot, Robert S. Fausto, and William T. Colgan
The Cryosphere, 17, 3829–3845, https://doi.org/10.5194/tc-17-3829-2023, https://doi.org/10.5194/tc-17-3829-2023, 2023
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This study presents a database compiling 95 ice temperature profiles from the Greenland ice sheet and peripheral ice caps. Ice viscosity and hence ice flow are highly sensitive to ice temperature. To highlight the value of the database in evaluating ice flow simulations, profiles from the Greenland ice sheet are compared to a modeled temperature field. Reoccurring discrepancies between modeled and observed temperatures provide insight on the difficulties faced when simulating ice temperatures.
Dylan Reynolds, Ethan Gutmann, Bert Kruyt, Michael Haugeneder, Tobias Jonas, Franziska Gerber, Michael Lehning, and Rebecca Mott
Geosci. Model Dev., 16, 5049–5068, https://doi.org/10.5194/gmd-16-5049-2023, https://doi.org/10.5194/gmd-16-5049-2023, 2023
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The challenge of running geophysical models is often compounded by the question of where to obtain appropriate data to give as input to a model. Here we present the HICAR model, a simplified atmospheric model capable of running at spatial resolutions of hectometers for long time series or over large domains. This makes physically consistent atmospheric data available at the spatial and temporal scales needed for some terrestrial modeling applications, for example seasonal snow forecasting.
Lander Van Tricht, Harry Zekollari, Matthias Huss, Daniel Farinotti, and Philippe Huybrechts
The Cryosphere Discuss., https://doi.org/10.5194/tc-2023-87, https://doi.org/10.5194/tc-2023-87, 2023
Manuscript not accepted for further review
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Detailed 3D models can be applied for well-studied glaciers, whereas simplified approaches are used for regional/global assessments. We conducted a comparison of six Tien Shan glaciers employing different models and investigated the impact of in-situ measurements. Our results reveal that the choice of mass balance and ice flow model as well as calibration have minimal impact on the projected volume. The initial ice thickness exerts the greatest influence on the future remaining ice volume.
Johannes Aschauer, Adrien Michel, Tobias Jonas, and Christoph Marty
Geosci. Model Dev., 16, 4063–4081, https://doi.org/10.5194/gmd-16-4063-2023, https://doi.org/10.5194/gmd-16-4063-2023, 2023
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Snow water equivalent is the mass of water stored in a snowpack. Based on exponential settling functions, the empirical snow density model SWE2HS is presented to convert time series of daily snow water equivalent into snow depth. The model has been calibrated with data from Switzerland and validated with independent data from the European Alps. A reference implementation of SWE2HS is available as a Python package.
Adrià Fontrodona-Bach, Bettina Schaefli, Ross Woods, Adriaan J. Teuling, and Joshua R. Larsen
Earth Syst. Sci. Data, 15, 2577–2599, https://doi.org/10.5194/essd-15-2577-2023, https://doi.org/10.5194/essd-15-2577-2023, 2023
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We provide a dataset of snow water equivalent, the depth of liquid water that results from melting a given depth of snow. The dataset contains 11 071 sites over the Northern Hemisphere, spans the period 1950–2022, and is based on daily observations of snow depth on the ground and a model. The dataset fills a lack of accessible historical ground snow data, and it can be used for a variety of applications such as the impact of climate change on global and regional snow and water resources.
Alessio Gentile, Davide Canone, Natalie Ceperley, Davide Gisolo, Maurizio Previati, Giulia Zuecco, Bettina Schaefli, and Stefano Ferraris
Hydrol. Earth Syst. Sci., 27, 2301–2323, https://doi.org/10.5194/hess-27-2301-2023, https://doi.org/10.5194/hess-27-2301-2023, 2023
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What drives young water fraction, F*yw (i.e., the fraction of water in streamflow younger than 2–3 months), variations with elevation? Why is F*yw counterintuitively low in high-elevation catchments, in spite of steeper topography? In this paper, we present a perceptual model explaining how the longer low-flow duration at high elevations, driven by the persistence of winter snowpacks, increases the proportion of stored (old) water contributing to the stream, thus reducing F*yw.
Eric Keenan, Nander Wever, Jan T. M. Lenaerts, and Brooke Medley
Geosci. Model Dev., 16, 3203–3219, https://doi.org/10.5194/gmd-16-3203-2023, https://doi.org/10.5194/gmd-16-3203-2023, 2023
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Ice sheets gain mass via snowfall. However, snowfall is redistributed by the wind, resulting in accumulation differences of up to a factor of 5 over distances as short as 5 km. These differences complicate estimates of ice sheet contribution to sea level rise. For this reason, we have developed a new model for estimating wind-driven snow redistribution on ice sheets. We show that, over Pine Island Glacier in West Antarctica, the model improves estimates of snow accumulation variability.
Megan Thompson-Munson, Nander Wever, C. Max Stevens, Jan T. M. Lenaerts, and Brooke Medley
The Cryosphere, 17, 2185–2209, https://doi.org/10.5194/tc-17-2185-2023, https://doi.org/10.5194/tc-17-2185-2023, 2023
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To better understand the Greenland Ice Sheet’s firn layer and its ability to buffer sea level rise by storing meltwater, we analyze firn density observations and output from two firn models. We find that both models, one physics-based and one semi-empirical, simulate realistic density and firn air content when compared to observations. The models differ in their representation of firn air content, highlighting the uncertainty in physical processes and the paucity of deep-firn measurements.
Anthony Michelon, Natalie Ceperley, Harsh Beria, Joshua Larsen, Torsten Vennemann, and Bettina Schaefli
Hydrol. Earth Syst. Sci., 27, 1403–1430, https://doi.org/10.5194/hess-27-1403-2023, https://doi.org/10.5194/hess-27-1403-2023, 2023
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Streamflow generation processes in high-elevation catchments are largely influenced by snow accumulation and melt. For this work, we collected and analyzed more than 2800 water samples (temperature, electric conductivity, and stable isotopes of water) to characterize the hydrological processes in such a high Alpine environment. Our results underline the critical role of subsurface flow during all melt periods and the presence of snowmelt even during the winter periods.
Michelle L. Maclennan, Jan T. M. Lenaerts, Christine A. Shields, Andrew O. Hoffman, Nander Wever, Megan Thompson-Munson, Andrew C. Winters, Erin C. Pettit, Theodore A. Scambos, and Jonathan D. Wille
The Cryosphere, 17, 865–881, https://doi.org/10.5194/tc-17-865-2023, https://doi.org/10.5194/tc-17-865-2023, 2023
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Atmospheric rivers are air masses that transport large amounts of moisture and heat towards the poles. Here, we use a combination of weather observations and models to quantify the amount of snowfall caused by atmospheric rivers in West Antarctica which is about 10 % of the total snowfall each year. We then examine a unique event that occurred in early February 2020, when three atmospheric rivers made landfall over West Antarctica in rapid succession, leading to heavy snowfall and surface melt.
Hongxiang Yu, Guang Li, Benjamin Walter, Michael Lehning, Jie Zhang, and Ning Huang
The Cryosphere, 17, 639–651, https://doi.org/10.5194/tc-17-639-2023, https://doi.org/10.5194/tc-17-639-2023, 2023
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Snow cornices lead to the potential risk of causing snow avalanche hazards, which are still unknown so far. We carried out a wind tunnel experiment in a cold lab to investigate the environmental conditions for snow cornice accretion recorded by a camera. The length growth rate of the cornices reaches a maximum for wind speeds approximately 40 % higher than the threshold wind speed. Experimental results improve our understanding of the cornice formation process.
Varun Sharma, Franziska Gerber, and Michael Lehning
Geosci. Model Dev., 16, 719–749, https://doi.org/10.5194/gmd-16-719-2023, https://doi.org/10.5194/gmd-16-719-2023, 2023
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Most current generation climate and weather models have a relatively simplistic description of snow and snow–atmosphere interaction. One reason for this is the belief that including an advanced snow model would make the simulations too computationally demanding. In this study, we bring together two state-of-the-art models for atmosphere (WRF) and snow cover (SNOWPACK) and highlight both the feasibility and necessity of such coupled models to explore underexplored phenomena in the cryosphere.
Tom Müller, Stuart N. Lane, and Bettina Schaefli
Hydrol. Earth Syst. Sci., 26, 6029–6054, https://doi.org/10.5194/hess-26-6029-2022, https://doi.org/10.5194/hess-26-6029-2022, 2022
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This research provides a comprehensive analysis of groundwater storage in Alpine glacier forefields, a zone rapidly evolving with glacier retreat. Based on data analysis of a case study, it provides a simple perceptual model showing where and how groundwater is stored and released in a high Alpine environment. It especially points out the presence of groundwater storages in both fluvial and bedrock aquifers, which may become more important with future glacier retreat.
Pau Wiersma, Jerom Aerts, Harry Zekollari, Markus Hrachowitz, Niels Drost, Matthias Huss, Edwin H. Sutanudjaja, and Rolf Hut
Hydrol. Earth Syst. Sci., 26, 5971–5986, https://doi.org/10.5194/hess-26-5971-2022, https://doi.org/10.5194/hess-26-5971-2022, 2022
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We test whether coupling a global glacier model (GloGEM) with a global hydrological model (PCR-GLOBWB 2) leads to a more realistic glacier representation and to improved basin runoff simulations across 25 large-scale basins. The coupling does lead to improved glacier representation, mainly by accounting for glacier flow and net glacier mass loss, and to improved basin runoff simulations, mostly in strongly glacier-influenced basins, which is where the coupling has the most impact.
Nicole Clerx, Horst Machguth, Andrew Tedstone, Nicolas Jullien, Nander Wever, Rolf Weingartner, and Ole Roessler
The Cryosphere, 16, 4379–4401, https://doi.org/10.5194/tc-16-4379-2022, https://doi.org/10.5194/tc-16-4379-2022, 2022
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Meltwater runoff is one of the main contributors to mass loss on the Greenland Ice Sheet that influences global sea level rise. However, it remains unclear where meltwater runs off and what processes cause this. We measured the velocity of meltwater flow through snow on the ice sheet, which ranged from 0.17–12.8 m h−1 for vertical percolation and from 1.3–15.1 m h−1 for lateral flow. This is an important step towards understanding where, when and why meltwater runoff occurs on the ice sheet.
Océane Hames, Mahdi Jafari, David Nicholas Wagner, Ian Raphael, David Clemens-Sewall, Chris Polashenski, Matthew D. Shupe, Martin Schneebeli, and Michael Lehning
Geosci. Model Dev., 15, 6429–6449, https://doi.org/10.5194/gmd-15-6429-2022, https://doi.org/10.5194/gmd-15-6429-2022, 2022
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This paper presents an Eulerian–Lagrangian snow transport model implemented in the fluid dynamics software OpenFOAM, which we call snowBedFoam 1.0. We apply this model to reproduce snow deposition on a piece of ridged Arctic sea ice, which was produced during the MOSAiC expedition through scan measurements. The model appears to successfully reproduce the enhanced snow accumulation and deposition patterns, although some quantitative uncertainties were shown.
Feiko Bernard van Zadelhoff, Adel Albaba, Denis Cohen, Chris Phillips, Bettina Schaefli, Luuk Dorren, and Massimiliano Schwarz
Nat. Hazards Earth Syst. Sci., 22, 2611–2635, https://doi.org/10.5194/nhess-22-2611-2022, https://doi.org/10.5194/nhess-22-2611-2022, 2022
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Shallow landslides pose a risk to people, property and infrastructure. Assessment of this hazard and the impact of protective measures can reduce losses. We developed a model (SlideforMAP) that can assess the shallow-landslide risk on a regional scale for specific rainfall events. Trees are an effective and cheap protective measure on a regional scale. Our model can assess their hazard reduction down to the individual tree level.
Francesca Carletti, Adrien Michel, Francesca Casale, Alice Burri, Daniele Bocchiola, Mathias Bavay, and Michael Lehning
Hydrol. Earth Syst. Sci., 26, 3447–3475, https://doi.org/10.5194/hess-26-3447-2022, https://doi.org/10.5194/hess-26-3447-2022, 2022
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High Alpine catchments are dominated by the melting of seasonal snow cover and glaciers, whose amount and seasonality are expected to be modified by climate change. This paper compares the performances of different types of models in reproducing discharge among two catchments under present conditions and climate change. Despite many advantages, the use of simpler models for climate change applications is controversial as they do not fully represent the physics of the involved processes.
David N. Wagner, Matthew D. Shupe, Christopher Cox, Ola G. Persson, Taneil Uttal, Markus M. Frey, Amélie Kirchgaessner, Martin Schneebeli, Matthias Jaggi, Amy R. Macfarlane, Polona Itkin, Stefanie Arndt, Stefan Hendricks, Daniela Krampe, Marcel Nicolaus, Robert Ricker, Julia Regnery, Nikolai Kolabutin, Egor Shimanshuck, Marc Oggier, Ian Raphael, Julienne Stroeve, and Michael Lehning
The Cryosphere, 16, 2373–2402, https://doi.org/10.5194/tc-16-2373-2022, https://doi.org/10.5194/tc-16-2373-2022, 2022
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Based on measurements of the snow cover over sea ice and atmospheric measurements, we estimate snowfall and snow accumulation for the MOSAiC ice floe, between November 2019 and May 2020. For this period, we estimate 98–114 mm of precipitation. We suggest that about 34 mm of snow water equivalent accumulated until the end of April 2020 and that at least about 50 % of the precipitated snow was eroded or sublimated. Further, we suggest explanations for potential snowfall overestimation.
Alexandre Tuel, Bettina Schaefli, Jakob Zscheischler, and Olivia Martius
Hydrol. Earth Syst. Sci., 26, 2649–2669, https://doi.org/10.5194/hess-26-2649-2022, https://doi.org/10.5194/hess-26-2649-2022, 2022
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River discharge is strongly influenced by the temporal structure of precipitation. Here, we show how extreme precipitation events that occur a few days or weeks after a previous event have a larger effect on river discharge than events occurring in isolation. Windows of 2 weeks or less between events have the most impact. Similarly, periods of persistent high discharge tend to be associated with the occurrence of several extreme precipitation events in close succession.
Loris Compagno, Matthias Huss, Evan Stewart Miles, Michael James McCarthy, Harry Zekollari, Amaury Dehecq, Francesca Pellicciotti, and Daniel Farinotti
The Cryosphere, 16, 1697–1718, https://doi.org/10.5194/tc-16-1697-2022, https://doi.org/10.5194/tc-16-1697-2022, 2022
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We present a new approach for modelling debris area and thickness evolution. We implement the module into a combined mass-balance ice-flow model, and we apply it using different climate scenarios to project the future evolution of all glaciers in High Mountain Asia. We show that glacier geometry, volume, and flow velocity evolve differently when modelling explicitly debris cover compared to glacier evolution without the debris-cover module, demonstrating the importance of accounting for debris.
Stefan Brönnimann, Peter Stucki, Jörg Franke, Veronika Valler, Yuri Brugnara, Ralf Hand, Laura C. Slivinski, Gilbert P. Compo, Prashant D. Sardeshmukh, Michel Lang, and Bettina Schaefli
Clim. Past, 18, 919–933, https://doi.org/10.5194/cp-18-919-2022, https://doi.org/10.5194/cp-18-919-2022, 2022
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Floods in Europe vary on time scales of several decades. Flood-rich and flood-poor periods alternate. Recently floods have again become more frequent. Long time series of peak stream flow, precipitation, and atmospheric variables reveal that until around 1980, these changes were mostly due to changes in atmospheric circulation. However, in recent decades the role of increasing atmospheric moisture due to climate warming has become more important and is now the main driver of flood changes.
Moctar Dembélé, Mathieu Vrac, Natalie Ceperley, Sander J. Zwart, Josh Larsen, Simon J. Dadson, Grégoire Mariéthoz, and Bettina Schaefli
Hydrol. Earth Syst. Sci., 26, 1481–1506, https://doi.org/10.5194/hess-26-1481-2022, https://doi.org/10.5194/hess-26-1481-2022, 2022
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Climate change impacts on water resources in the Volta River basin are investigated under various global warming scenarios. Results reveal contrasting changes in future hydrological processes and water availability, depending on greenhouse gas emission scenarios, with implications for floods and drought occurrence over the 21st century. These findings provide insights for the elaboration of regional adaptation and mitigation strategies for climate change.
Joel Fiddes, Kristoffer Aalstad, and Michael Lehning
Geosci. Model Dev., 15, 1753–1768, https://doi.org/10.5194/gmd-15-1753-2022, https://doi.org/10.5194/gmd-15-1753-2022, 2022
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This study describes and evaluates a new downscaling scheme that addresses the need for hillslope-scale atmospheric forcing time series for modelling the local impact of regional climate change on the land surface in mountain areas. The method has a global scope and is able to generate all model forcing variables required for hydrological and land surface modelling. This is important, as impact models require high-resolution forcings such as those generated here to produce meaningful results.
Lander Van Tricht, Philippe Huybrechts, Jonas Van Breedam, Alexander Vanhulle, Kristof Van Oost, and Harry Zekollari
The Cryosphere, 15, 4445–4464, https://doi.org/10.5194/tc-15-4445-2021, https://doi.org/10.5194/tc-15-4445-2021, 2021
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We conducted innovative research on the use of drones to determine the surface mass balance (SMB) of two glaciers. Considering appropriate spatial scales, we succeeded in determining the SMB in the ablation area with large accuracy. Consequently, we are convinced that our method and the use of drones to monitor the mass balance of a glacier’s ablation area can be an add-on to stake measurements in order to obtain a broader picture of the heterogeneity of the SMB of glaciers.
Pirmin Philipp Ebner, Franziska Koch, Valentina Premier, Carlo Marin, Florian Hanzer, Carlo Maria Carmagnola, Hugues François, Daniel Günther, Fabiano Monti, Olivier Hargoaa, Ulrich Strasser, Samuel Morin, and Michael Lehning
The Cryosphere, 15, 3949–3973, https://doi.org/10.5194/tc-15-3949-2021, https://doi.org/10.5194/tc-15-3949-2021, 2021
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A service to enable real-time optimization of grooming and snow-making at ski resorts was developed and evaluated using both GNSS-measured snow depth and spaceborne snow maps derived from Copernicus Sentinel-2. The correlation to the ground observation data was high. Potential sources for the overestimation of the snow depth by the simulations are mainly the impact of snow redistribution by skiers, compensation of uneven terrain, or spontaneous local adaptions of the snow management.
Devon Dunmire, Alison F. Banwell, Nander Wever, Jan T. M. Lenaerts, and Rajashree Tri Datta
The Cryosphere, 15, 2983–3005, https://doi.org/10.5194/tc-15-2983-2021, https://doi.org/10.5194/tc-15-2983-2021, 2021
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Here, we automatically detect buried lakes (meltwater lakes buried below layers of snow) across the Greenland Ice Sheet, providing insight into a poorly studied meltwater feature. For 2018 and 2019, we compare areal extent of buried lakes. We find greater buried lake extent in 2019, especially in northern Greenland, which we attribute to late-summer surface melt and high autumn temperatures. We also provide evidence that buried lakes form via different processes across Greenland.
Sarah Hanus, Markus Hrachowitz, Harry Zekollari, Gerrit Schoups, Miren Vizcaino, and Roland Kaitna
Hydrol. Earth Syst. Sci., 25, 3429–3453, https://doi.org/10.5194/hess-25-3429-2021, https://doi.org/10.5194/hess-25-3429-2021, 2021
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This study investigates the effects of climate change on runoff patterns in six Alpine catchments in Austria at the end of the 21st century. Our results indicate a substantial shift to earlier occurrences in annual maximum and minimum flows in high-elevation catchments. Magnitudes of annual extremes are projected to increase under a moderate emission scenario in all catchments. Changes are generally more pronounced for high-elevation catchments.
Loris Compagno, Sarah Eggs, Matthias Huss, Harry Zekollari, and Daniel Farinotti
The Cryosphere, 15, 2593–2599, https://doi.org/10.5194/tc-15-2593-2021, https://doi.org/10.5194/tc-15-2593-2021, 2021
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Recently, discussions have focused on the difference in limiting the increase in global average temperatures to below 1.0, 1.5, or 2.0 °C compared to preindustrial levels. Here, we assess the impacts that such different scenarios would have on both the future evolution of glaciers in the European Alps and the water resources they provide. Our results show that the different temperature targets have important implications for the changes predicted until 2100.
Anthony Michelon, Lionel Benoit, Harsh Beria, Natalie Ceperley, and Bettina Schaefli
Hydrol. Earth Syst. Sci., 25, 2301–2325, https://doi.org/10.5194/hess-25-2301-2021, https://doi.org/10.5194/hess-25-2301-2021, 2021
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Rainfall observation remains a challenge, particularly in mountain environments. Unlike most studies which are model based, this analysis of the rainfall–runoff response of a 13.4 km2 alpine catchment is purely data based and relies on measurements from a network of 12 low-cost rain gauges over 3 months. It assesses the importance of high-density rainfall observations in informing hydrological processes and helps in designing a permanent rain gauge network.
Marcel Haeberli, Daniel Baggenstos, Jochen Schmitt, Markus Grimmer, Adrien Michel, Thomas Kellerhals, and Hubertus Fischer
Clim. Past, 17, 843–867, https://doi.org/10.5194/cp-17-843-2021, https://doi.org/10.5194/cp-17-843-2021, 2021
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Using the temperature-dependent solubility of noble gases in ocean water, we reconstruct global mean ocean temperature (MOT) over the last 700 kyr using noble gas ratios in air enclosed in polar ice cores. Our record shows that glacial MOT was about 3 °C cooler compared to the Holocene. Interglacials before 450 kyr ago were characterized by about 1.5 °C lower MOT than the Holocene. In addition, some interglacials show transient maxima in ocean temperature related to changes in ocean circulation.
Eric Keenan, Nander Wever, Marissa Dattler, Jan T. M. Lenaerts, Brooke Medley, Peter Kuipers Munneke, and Carleen Reijmer
The Cryosphere, 15, 1065–1085, https://doi.org/10.5194/tc-15-1065-2021, https://doi.org/10.5194/tc-15-1065-2021, 2021
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Snow density is required to convert observed changes in ice sheet volume into mass, which ultimately drives ice sheet contribution to sea level rise. However, snow properties respond dynamically to wind-driven redistribution. Here we include a new wind-driven snow density scheme into an existing snow model. Our results demonstrate an improved representation of snow density when compared to observations and can therefore be used to improve retrievals of ice sheet mass balance.
Elvira Mächler, Anham Salyani, Jean-Claude Walser, Annegret Larsen, Bettina Schaefli, Florian Altermatt, and Natalie Ceperley
Hydrol. Earth Syst. Sci., 25, 735–753, https://doi.org/10.5194/hess-25-735-2021, https://doi.org/10.5194/hess-25-735-2021, 2021
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In this study, we collected water from an Alpine catchment in Switzerland and compared the genetic information of eukaryotic organisms conveyed by eDNA with the hydrologic information conveyed by naturally occurring hydrologic tracers. At the intersection of two disciplines, our study provides complementary knowledge gains and identifies the next steps to be addressed for using eDNA to achieve complementary insights into Alpine water sources.
J. Melchior van Wessem, Christian R. Steger, Nander Wever, and Michiel R. van den Broeke
The Cryosphere, 15, 695–714, https://doi.org/10.5194/tc-15-695-2021, https://doi.org/10.5194/tc-15-695-2021, 2021
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This study presents the first modelled estimates of perennial firn aquifers (PFAs) in Antarctica. PFAs are subsurface meltwater bodies that do not refreeze in winter due to the isolating effects of the snow they are buried underneath. They were first identified in Greenland, but conditions for their existence are also present in the Antarctic Peninsula. These PFAs can have important effects on meltwater retention, ice shelf stability, and, consequently, sea level rise.
Richard Essery, Hyungjun Kim, Libo Wang, Paul Bartlett, Aaron Boone, Claire Brutel-Vuilmet, Eleanor Burke, Matthias Cuntz, Bertrand Decharme, Emanuel Dutra, Xing Fang, Yeugeniy Gusev, Stefan Hagemann, Vanessa Haverd, Anna Kontu, Gerhard Krinner, Matthieu Lafaysse, Yves Lejeune, Thomas Marke, Danny Marks, Christoph Marty, Cecile B. Menard, Olga Nasonova, Tomoko Nitta, John Pomeroy, Gerd Schädler, Vladimir Semenov, Tatiana Smirnova, Sean Swenson, Dmitry Turkov, Nander Wever, and Hua Yuan
The Cryosphere, 14, 4687–4698, https://doi.org/10.5194/tc-14-4687-2020, https://doi.org/10.5194/tc-14-4687-2020, 2020
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Climate models are uncertain in predicting how warming changes snow cover. This paper compares 22 snow models with the same meteorological inputs. Predicted trends agree with observations at four snow research sites: winter snow cover does not start later, but snow now melts earlier in spring than in the 1980s at two of the sites. Cold regions where snow can last until late summer are predicted to be particularly sensitive to warming because the snow then melts faster at warmer times of year.
Anna E. Sikorska-Senoner, Bettina Schaefli, and Jan Seibert
Nat. Hazards Earth Syst. Sci., 20, 3521–3549, https://doi.org/10.5194/nhess-20-3521-2020, https://doi.org/10.5194/nhess-20-3521-2020, 2020
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This work proposes methods for reducing the computational requirements of hydrological simulations for the estimation of very rare floods that occur on average less than once in 1000 years. These methods enable the analysis of long streamflow time series (here for example 10 000 years) at low computational costs and with modelling uncertainty. They are to be used within continuous simulation frameworks with long input time series and are readily transferable to similar simulation tasks.
Moctar Dembélé, Bettina Schaefli, Nick van de Giesen, and Grégoire Mariéthoz
Hydrol. Earth Syst. Sci., 24, 5379–5406, https://doi.org/10.5194/hess-24-5379-2020, https://doi.org/10.5194/hess-24-5379-2020, 2020
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This study evaluates 102 combinations of rainfall and temperature datasets from satellite and reanalysis sources as input to a fully distributed hydrological model. The model is recalibrated for each input dataset, and the outputs are evaluated with streamflow, evaporation, soil moisture and terrestrial water storage data. Results show that no single rainfall or temperature dataset consistently ranks first in reproducing the spatio-temporal variability of all hydrological processes.
Louis Quéno, Charles Fierz, Alec van Herwijnen, Dylan Longridge, and Nander Wever
The Cryosphere, 14, 3449–3464, https://doi.org/10.5194/tc-14-3449-2020, https://doi.org/10.5194/tc-14-3449-2020, 2020
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Deep ice layers may form in the snowpack due to preferential water flow with impacts on the snowpack mechanical, hydrological and thermodynamical properties. We studied their formation and evolution at a high-altitude alpine site, combining a comprehensive observation dataset at a daily frequency (with traditional snowpack observations, penetration resistance and radar measurements) and detailed snowpack modeling, including a new parameterization of ice formation in the 1-D SNOWPACK model.
Thore Kausch, Stef Lhermitte, Jan T. M. Lenaerts, Nander Wever, Mana Inoue, Frank Pattyn, Sainan Sun, Sarah Wauthy, Jean-Louis Tison, and Willem Jan van de Berg
The Cryosphere, 14, 3367–3380, https://doi.org/10.5194/tc-14-3367-2020, https://doi.org/10.5194/tc-14-3367-2020, 2020
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Ice rises are elevated parts of the otherwise flat ice shelf. Here we study the impact of an Antarctic ice rise on the surrounding snow accumulation by combining field data and modeling. Our results show a clear difference in average yearly snow accumulation between the windward side, the leeward side and the peak of the ice rise due to differences in snowfall and wind erosion. This is relevant for the interpretation of ice core records, which are often drilled on the peak of an ice rise.
Cited articles
Arora, R., Tockner, K., and Venohr, M.: Changing river temperatures in northern Germany: trends and drivers of change, Hydrol. Process., 30, 3084–3096, https://doi.org/10.1002/hyp.10849, 2016. a
AWA: Fliessgewässer, Bau-, Verkehrs- und Energiedirektion, Canton Bern,
https://www.naturgefahren.sites.be.ch/naturgefahren_sites/de/index/aktuelle_wasserdaten.html
(last access: 17 February 2022), 2019. a
AWEL: Messdate, Amt für Abfall, Wasser, Energie und Luft, Canton Zurich,
https://www.zh.ch/de/baudirektion/amt-fuer-abfall-wasser-energie-luft.html
(last access: 17 February 2022), 2019.
a
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
Bavay, M. and Egger, T.: MeteoIO 2.4.2: a preprocessing library for meteorological data, Geosci. Model Dev., 7, 3135–3151, https://doi.org/10.5194/gmd-7-3135-2014, 2014. a
Belletti, B., Garcia de Leaniz, C., Jones, J., Bizzi, S., Börger, L.,
Segura, G., Castelletti, A., van de Bund, W., Aarestrup, K., Barry, J., Belka, K., Berkhuysen, A., Birnie-Gauvin, K., Bussettini, M., Carolli, M.,
Consuegra, S., Dopico, E., Feierfeil, T., Fernández, S., Fernandez Garrido, P., Garcia-Vazquez, E., Garrido, S., Giannico, G., Gough,
P., Jepsen, N., Jones, P. E., Kemp, P., Kerr, J., King, J., Łapińska, M., Lázaro, G., Lucas, M. C., Marcello, L., Martin, P., McGinnity, P., O'Hanley, J., Olivo del Amo, R., Parasiewicz, P., Pusch, M., Rincon, G., Rodriguez, C., Royte, J., Schneider, C. T., Tummers, J. S., Vallesi, S., Vowles, A., Verspoor, E., Wanningen, H., Wantzen, K. M., Wildman, L., and Zalewski, M.: More than one million barriers fragment Europe's rivers, Nature, 588, 436–441, https://doi.org/10.1038/s41586-020-3005-2, 2020. a
Beniston, M.: Is snow in the Alps receding or disappearing?, Wiley Interdisciplin. Rev.: Clim. Change, 3, 349–358, https://doi.org/10.1002/wcc.179, 2012. a
Benyahya, L., Caissie, D., St-Hilaire, A., Ouarda, T. B., and Bobée, B.: A Review of Statistical Water Temperature Models, Can. Water Resour. J./Revue canadienne des ressources hydriques, 32, 179–192, https://doi.org/10.4296/cwrj3203179, 2007. a, b, c
Bicknell, B. R., Imhoff, J. C., Kittle, J. L., Donigian, A. S., and Johanson,
R. C.: Hydrological Simulation Program–FORTRAN User's Manual for Version 11,
US Environmental Protection Agency, National Exposure Research Laboratory,
Athens, GA, USA, https://books.google.ch/books?id=oDfTPAAACAAJ (last access: 1 July 2019), 1997. a
Bourqui, M., Hendrickx, F., and Le Moine, N.: Long-term forecasting of flow and water temperature for cooling systems: Case study of the Rhone River, France, AHS Publ., 348, 135–142, 2011. a
Brauchli, T., Trujillo, E., Huwald, H., and Lehning, M.: Influence of
Slope-Scale Snowmelt on Catchment Response Simulated With the Alpine3D Model,
Water Resour. Res., 53, 10723–10739, https://doi.org/10.1002/2017WR021278, 2017. a, b
Brown, G. W.: Predicting Temperatures of Small Streams, Water Resour. Res., 5, 68–75, https://doi.org/10.1029/WR005i001p00068, 1969. a
Brunner, M. I., Björnsen Gurung, A., Zappa, M., Zekollari, H., Farinotti,
D., and Stähli, M.: Present and future water scarcity in Switzerland:
Potential for alleviation through reservoirs and lakes, Sci. Total Environ., 666, 1033–1047, https://doi.org/10.1016/j.scitotenv.2019.02.169, 2019a. a, b
Brunner, M. I., Farinotti, D., Zekollari, H., Huss, M., and Zappa, M.: Future
shifts in extreme flow regimes in Alpine regions, Hydrol. Earth Syst. Sci., 23, 4471–4489, https://doi.org/10.5194/hess-23-4471-2019, 2019b. a
Caissie, D.: The thermal regime of rivers: a review, Freshwater Biol., 51,
1389–1406, https://doi.org/10.1111/j.1365-2427.2006.01597.x, 2006. a
Carletti, F., Michel, A., Casale, F., Bocchiola, D., Lehning, M., and Bavay, M.: A comparison of hydrological models with different level of complexity in Alpine regions in the context of climate change, Hydrol. Earth Syst. Sci. Discuss. [preprint], https://doi.org/10.5194/hess-2021-562, in review, 2021. a, b
Carraro, L., Mari, L., Hartikainen, H., Strepparava, N., Wahli, T., Jokela, J., Gatto, M., Rinaldo, A., and Bertuzzo, E.: An epidemiological model for
proliferative kidney disease in salmonid populations, Parasit. Vect., 9, 487, https://doi.org/10.1186/s13071-016-1759-z, 2016. a, b
Cauvy-Fraunié, S. and Dangles, O.: A global synthesis of biodiversity
responses to glacier retreat, Nat. Ecol. Evol., 3, 1675–1685, https://doi.org/10.1038/s41559-019-1042-8, 2019. a
CH2011: Swiss Climate Change Scenarios CH2011, Tech. rep., C2SM, MeteoSwiss,
ETH, NCCR Climate, and OcCC, https://doi.org/10.3929/ethz-a-006720559, 2011. a
Compagno, L., Eggs, S., Huss, M., Zekollari, H., and Farinotti, D.: Brief communication: Do 1.0, 1.5, or 2.0 ∘C matter for the future evolution of Alpine glaciers?, The Cryosphere, 15, 2593–2599, https://doi.org/10.5194/tc-15-2593-2021, 2021. a
Cunge, J. A.: On The Subject Of A Flood Propagation Computation Method
(Musklngum Method), J. Hydraul. Res., 7, 205–230, https://doi.org/10.1080/00221686909500264, 1969. a
Dokulil, M. T.: Impact of climate warming on European inland waters, Inland
Waters, 4, 27–40, https://doi.org/10.5268/IW-4.1.705, 2014. a
Du, X., Shrestha, N. K., and Wang, J.: Assessing climate change impacts on
stream temperature in the Athabasca River Basin using SWAT equilibrium
temperature model and its potential impacts on stream ecosystem, Sci. Total Environ., 650, 1872–1881, https://doi.org/10.1016/j.scitotenv.2018.09.344, 2019. a, b
Du, X., Silwal, G., and Faramarzi, M.: Investigating the impacts of glacier
melt on stream temperature in a cold-region watershed: coupling a glacier
melt model with a hydrological model, J. Hydrol., 605, 127303, https://doi.org/10.1016/j.jhydrol.2021.127303, 2021. a, b, c
Dugdale, S. J., Malcolm, I. A., Kantola, K., and Hannah, D. M.: Stream
temperature under contrasting riparian forest cover: Understanding thermal
dynamics and heat exchange processes, Sci. Total Environ., 610–611, 1375–1389, https://doi.org/10.1016/j.scitotenv.2017.08.198, 2018. a, b
Epting, J., Händel, F., and Huggenberger, P.: Thermal management of an
unconsolidated shallow urban groundwater body, Hydrol. Earth Syst. Sci., 17, 1851–1869, https://doi.org/10.5194/hess-17-1851-2013, 2013. a
Epting, J., Michel, A., Affolter, A., and Huggenberger, P.: Climate change
effects on groundwater recharge and temperatures in Swiss alluvial aquifers,
J. Hydrol. X, 11, 100071, https://doi.org/10.1016/j.hydroa.2020.100071, 2021. a, b, c, d
European Environment Agency: CORINE Land Cover (CLC) 2006, Version 17,
Kopenhagen K, Denmark,
https://land.copernicus.eu/pan-european/corine-land-cover/clc-2006
(last access: 1 July 2019), 2013. a
Fell, S. C., Carrivick, J. L., Cauvy-Fraunié, S., Crespo-Pérez, V.,
Hood, E., Randall, K. C., Nicholass, K. J. M., Tiegs, S. D., Dumbrell, A. J.,
and Brown, L. E.: Fungal decomposition of river organic matter accelerated by decreasing glacier cover, Nat. Clim. Change, 11, 349–353, https://doi.org/10.1038/s41558-021-01004-x, 2021. a
Ficklin, D. L., Barnhart, B. L., Knouft, J. H., Stewart, I. T., Maurer, E. P., Letsinger, S. L., and Whittaker, G. W.: Climate change and stream temperature projections in the Columbia River basin: habitat implications of spatial variation in hydrologic drivers, Hydrol. Earth Syst. Sci., 18,
4897–4912, https://doi.org/10.5194/hess-18-4897-2014, 2014. a, b, c, d
Fischer, E. M., Seneviratne, S. I., Lüthi, D., and Schär, C.:
Contribution of land-atmosphere coupling to recent European summer heat waves, Geophys. Res. Lett., 34, L06707, https://doi.org/10.1029/2006GL029068, 2007a. a
Fischer, E. M., Seneviratne, S. I., Vidale, P. L., Lüthi, D., and
Schär, C.: Soil Moisture–Atmosphere Interactions during the 2003 European Summer Heat Wave, J. Climate, 20, 5081–5099, https://doi.org/10.1175/JCLI4288.1, 2007b. a
FOEN: Hydrological data and forecast, Swiss Federal Office for the
Environment, https://www.hydrodaten.admin.ch/en, last access: 1 July 2019. a
Gallice, A., Schaefli, B., Lehning, M., Parlange, M. B., and Huwald, H.: Stream temperature prediction in ungauged basins: review of recent approaches and description of a new physics-derived statistical model, Hydrol. Earth Syst. Sci., 19, 3727–3753, https://doi.org/10.5194/hess-19-3727-2015, 2015. a
Gallice, A., Bavay, M., Brauchli, T., Comola, F., Lehning, M., and Huwald, H.: StreamFlow 1.0: an extension to the spatially distributed snow model Alpine3D for hydrological modelling and deterministic stream temperature prediction, Geosci. Model Dev., 9, 4491–4519,
https://doi.org/10.5194/gmd-9-4491-2016, 2016. a, b, c, d, e, f, g
García-Gil, A., Vázquez-Suñé, E., Ángel Sánchez-Navarro, J., and Mateo Läzaro, J.: Recovery of energetically overexploited urban aquifers using surface water, J. Hydrol., 531, 602–611,
https://doi.org/10.1016/j.jhydrol.2015.10.067, 2015. a
Gouttevin, I., Lehning, M., Jonas, T., Gustafsson, D., and Mölder, M.: A
two-layer canopy model with thermal inertia for an improved snowpack energy
balance below needleleaf forest (model SNOWPACK, version 3.2.1, revision 741), Geosci. Model Dev., 8, 2379–2398, https://doi.org/10.5194/gmd-8-2379-2015, 2015. a
Griessinger, N., Schirmer, M., Helbig, N., Winstral, A., Michel, A., and Jonas, T.: Implications of observation-enhanced energy-balance snowmelt simulations for runoff modeling of Alpine catchments, Adv. Water Resour., 133, 103410, https://doi.org/10.1016/j.advwatres.2019.103410, 2019. a
Gupta, H. V., Kling, H., Yilmaz, K. K., and Martinez, G. F.: Decomposition of
the mean squared error and NSE performance criteria: Implications for improving hydrological modelling, J. Hydrol., 377, 80–91, https://doi.org/10.1016/j.jhydrol.2009.08.003, 2009. a
Haag, I. and Luce, A.: The integrated water balance and water temperature model LARSIM-WT, Hydrol. Process., 22, 1046–1056, https://doi.org/10.1002/hyp.6983,
2008. a
Hannah, D. M. and Garner, G.: River water temperature in the United Kingdom:
Changes over the 20th century and possible changes over the 21st century,
Prog. Phys. Geogr., 39, 68–92, https://doi.org/10.1177/0309133314550669, 2015. a, b
Hannah, D. M., Malcolm, I. A., Soulsby, C., and Youngson, A. F.: Heat exchanges and temperatures within a salmon spawning stream in the Cairngorms, Scotland: seasonal and sub-seasonal dynamics, River Res. Appl., 20, 635–652, https://doi.org/10.1002/rra.771, 2004. a
Helbig, N.: Application of the radiosity approach to the radiation balance in
complex terrain, PhD thesis, University of Zurich, Zurich,
https://doi.org/10.5167/uzh-30798, 2009. a
Hock, R., Jansson, P., and Braun, L. N.: Modelling the Response of Mountain
Glacier Discharge to Climate Warming, Springer Netherlands, Dordrecht, 243–252, https://doi.org/10.1007/1-4020-3508-X_25, 2005. a
Huggenberger, P. and Epting, J.: Urban geology: process-oriented concepts for
adaptive and integrated resource management, Springer, Basel,
https://doi.org/10.1007/978-3-0348-0185-0, 2011. a
Huss, M. and Farinotti, D.: Distributed ice thickness and volume of all
glaciers around the globe, J. Geophys. Res.-Earth, 117, F04010, https://doi.org/10.1029/2012JF002523, 2012. a
Huss, M. and Hock, R.: A new model for global glacier change and sea-level
rise, Front. Earth Sci., 3, 1–22, https://doi.org/10.3389/feart.2015.00054, 2015. a
Huss, M. and Hock, R.: Global-scale hydrological response to future glacier
mass loss, Nat. Clim. Change, 8, 135–140, https://doi.org/10.1038/s41558-017-0049-x, 2018. a
Hutter, K.: Theoretical Glaciology, Reidel Publ. Co., Dordrecht, 510 pp., ISBN 978-90-277-1473-2, https://doi.org/10.1007/978-94-015-1167-4, 1983. a
IDAWEB: MeteoSwiss, Federal Office of Meteorology and Climatolgy,
https://gate.meteoswiss.ch/idaweb/login.do, last access: 1 July 2020. a
IMIS: WSL Institute for Snow and Avalanche Research, SLF, IMIS measuring
network,
https://www.slf.ch/en/avalanche-bulletin-and-snow-situation/measured-values/description-of-automated-stations.html, last access: 1 July 2019. a
IPCC: Summary for Policymakers, in: Climate Change 2021: The Physical Science
Basis, Contribution of Working Group I to the Sixth Assessment Report of the
Intergovernmental Panel on Climate Change, Cambridge University Press,
Cambridge, UK and New York, NY, USA, in press, 2021. a
Jackson, F. L., Fryer, R. J., Hannah, D. M., Millar, C. P., and Malcolm, I. A.: A spatio-temporal statistical model of maximum daily river temperatures to inform the management of Scotland's Atlantic salmon rivers under climate
change, Sci. Total Environ., 612, 1543–1558, https://doi.org/10.1016/j.scitotenv.2017.09.010, 2018. a
Johnson, Z. C., Johnson, B. G., Briggs, M. A., Devine, W. D., Snyder, C. D.,
Hitt, N. P., Hare, D. K., and Minkova, T. V.: Paired air-water annual
temperature patterns reveal hydrogeological controls on stream thermal regimes at watershed to continental scales, J. Hydrol., 587, 124929, https://doi.org/10.1016/j.jhydrol.2020.124929, 2020. a
Jouvet, G., Huss, M., Blatter, H., Picasso, M., and Rappaz, J.: Numerical
Simulation of Rhonegletscher from 1874 to 2100, J. Comput. Phys., 228,
6426–6439, https://doi.org/10.1016/j.jcp.2009.05.033, 2009. a
Kalny, G., Laaha, G., Melcher, A., Trimmel, H., Weihs, P., and Rauch, H. P.:
The influence of riparian vegetation shading on water temperature during low
flow conditions in a medium sized river, Knowl. Manag. Aquat. Ecosyst., 418, 5, https://doi.org/10.1051/kmae/2016037, 2017. a
Köplin, N., Viviroli, D., Schädler, B., and Weingartner, R.: How does
climate change affect mesoscale catchments in Switzerland? – a framework
for a comprehensive assessment, Adv. Geosci., 27, 111–119,
https://doi.org/10.5194/adgeo-27-111-2010, 2010. a
Leach, J. A. and Moore, R. D.: Observations and modeling of hillslope throughflow temperatures in a coastal forested catchment, Water Resour. Res., 51, 3770–3795, https://doi.org/10.1002/2014WR016763, 2015. a
Leach, J. A. and Moore, R. D.: Empirical Stream Thermal Sensitivities May
Underestimate Stream Temperature Response to Climate Warming, Water Resour.
Res., 55, 5453–5467, https://doi.org/10.1029/2018WR024236, 2019. a, b, c
Lehning, M., Bartelt, P., Brown, B., and Fierz, C.: A physical SNOWPACK model
for the Swiss avalanche warning: Part III: meteorological forcing, thin layer
formation and evaluation, Cold Reg. Sci. Technol., 35, 169–184,
https://doi.org/10.1016/S0165-232X(02)00072-1, 2002a. a
Lehning, M., Bartelt, P., Brown, B., Fierz, C., and Satyawali, P.: A physical
SNOWPACK model for the Swiss avalanche warning: Part II. Snow microstructure,
Cold Reg. Sci. Technol., 35, 147–167, https://doi.org/10.1016/S0165-232X(02)00073-3, 2002b. a, b
Lehning, M., Völksch, I., Gustafsson, D., Nguyen, T. A., Stähli, M.,
and Zappa, M.: ALPINE3D: a detailed model of mountain surface processes and
its application to snow hydrology, Hydrol. Process., 20, 2111–2128,
https://doi.org/10.1002/hyp.6204, 2006. a, b
Lisi, P. J., Schindler, D. E., Cline, T. J., Scheuerell, M. D., and Walsh, P. B.: Watershed geomorphology and snowmelt control stream thermal sensitivity to air temperature, Geophys. Res. Lett., 42, 3380–3388, https://doi.org/10.1002/2015GL064083, 2015. a
Magnusson, J., Farinotti, D., Jonas, T., and Bavay, M.: Quantitative evaluation of different hydrological modelling approaches in a partly glacierized Swiss watershed, Hydrol. Process., 25, 2071–2084, https://doi.org/10.1002/hyp.7958, 2011. a, b, c
Magnusson, J., Jonas, T., and Kirchner, J. W.: Temperature dynamics of a
proglacial stream: Identifying dominant energy balance components and
inferring spatially integrated hydraulic geometry, Water Resour. Res., 48, W06510, https://doi.org/10.1029/2011WR011378, 2012. a
Martin, E. and Etchevers, P.: Impact of Climatic Changes on Snow Cover and Snow Hydrology in the French Alps, Springer Netherlands, Dordrecht,
235–242, https://doi.org/10.1007/1-4020-3508-X_24, 2005. a
Michel, A.: Past and future impacts of climate change on Swiss river
temperature and discharge investigated with data analysis and numerical
modelling, PhD thesis, EPFL, Lausanne, https://doi.org/10.5075/epfl-thesis-8871, 2021. a
Michel, A., Brauchli, T., Lehning, M., Schaefli, B., and Huwald, H.: Stream
temperature and discharge evolution in Switzerland over the last 50 years:
annual and seasonal behaviour, Hydrol. Earth Syst. Sci., 24, 115–142, https://doi.org/10.5194/hess-24-115-2020, 2020. a, b, c, d, e, f, g, h, i, j, k, l, m, n, o, p
Michel, A., Sharma, V., Lehning, M., and Huwald, H.: Dataset for: Climate
change scenarios at hourly time-step over Switzerland from an enhanced
temporal downscaling approach, Envidat [data set], https://doi.org/10.16904/envidat.201, 2021a. a, b
Michel, A., Schaefli, B., Wever, N., Zekollari, H., Lehning, M., and Huwald,
H.: Dataset for: Future water temperature of rivers in Switzerland under
climate change investigated with physics-based models, Envidat [data set], https://doi.org/10.16904/envidat.272, 2022. a, b
Moatar, F. and Gailhard, J.: Water temperature behaviour in the River Loire
since 1976 and 1881, Comptes Rendus Geoscience, 338, 319–328,
https://doi.org/10.1016/j.crte.2006.02.011, 2006. a
Morrison, J., Quick, M. C., and Foreman, M. G.: Climate change in the Fraser
River watershed: flow and temperature projections, J. Hydrol., 263, 230–244, https://doi.org/10.1016/S0022-1694(02)00065-3, 2002. a
Muelchi, R., Rössler, O., Schwanbeck, J., Weingartner, R., and Martius, O.: River runoff in Switzerland in a changing climate – runoff regime changes and their time of emergence, Hydrol. Earth Syst. Sci., 25, 3071–3086, https://doi.org/10.5194/hess-25-3071-2021, 2021a. a, b, c, d
Muelchi, R., Rössler, O., Schwanbeck, J., Weingartner, R., and Martius, O.: River runoff in Switzerland in a changing climate – changes in moderate extremes and their seasonality, Hydrol. Earth Syst. Sci., 25, 3577–3594, https://doi.org/10.5194/hess-25-3577-2021, 2021b. a
Mulligan, M., van Soesbergen, A., and Sáenz, L.: GOODD, a global dataset of more than 38,000 georeferenced dams, Scient. Data, 7, 31,
https://doi.org/10.1038/s41597-020-0362-5, 2020. a
Myers, D. T., Ficklin, D. L., Robeson, S. M., Neupane, R. P., Botero-Acosta,
A., and Avellaneda, P. M.: Choosing an arbitrary calibration period for
hydrologic models: How much does it influence water balance simulations?,
Hydrol. Process., 35, e14045, https://doi.org/10.1002/hyp.14045, 2021. a
Niedrist, G. H. and Füreder, L.: Real-time warming of Alpine streams:
(re)defining invertebrates' temperature preferences, River Res. Appl., 37, 283–293, https://doi.org/10.1002/rra.3638, 2021. a
Null, S. E., Viers, J. H., Deas, M. L., Tanaka, S. K., and Mount, J. F.: Stream temperature sensitivity to climate warming in California's Sierra Nevada: impacts to coldwater habitat, Climatic Change, 116, 149–170,
https://doi.org/10.1007/s10584-012-0459-8, 2013. a, b, c
Omstedt, A.: A coupled one-dimensional sea ice–ocean model applied to a
semi-enclosed basin, Tellus A, 42, 568–582, https://doi.org/10.3402/tellusa.v42i5.11899, 1990. a
O'Reilly, C. M., Sharma, S., Gray, D. K., Hampton, S. E., Read, J. S., Rowley, R. J., Schneider, P., Lenters, J. D., McIntyre, P. B., Kraemer, B. M., Weyhenmeyer, G. A., Straile, D., Dong, B., Adrian, R., Allan, M. G.,
Anneville, O., Arvola, L., Austin, J., Bailey, J. L., Baron, J. S., Brookes,
J. D., Eyto, E., Dokulil, M. T., Hamilton, D. P., Havens, K., Hetherington,
A. L., Higgins, S. N., Hook, S., Izmest'eva, L. R., Joehnk, K. D., Kangur,
K., Kasprzak, P., Kumagai, M., Kuusisto, E., Leshkevich, G., Livingstone, D. M., MacIntyre, S., May, L., Melack, J. M., Mueller-Navarra, D. C., Naumenko, M., Noges, P., Noges, T., North, R. P., Plisnier, P.-D., Rigosi, A., Rimmer, A., Rogora, M., Rudstam, L. G., Rusak, J. A., Salmaso, N., Samal, N. R., Schindler, D. E., Schladow, S. G., Schmid, M., Schmidt, S. R., Silow, E., Soylu, M. E., Teubner, K., Verburg, P., Voutilainen, A., Watkinson, A.,
Williamson, C. E., and Zhang, G.: Rapid and highly variable warming of lake
surface waters around the globe, Geophys. Res. Lett., 42, 10773–10781, https://doi.org/10.1002/2015GL066235, 2015. a
O'Sullivan, A. M., Devito, K. J., Ogilvie, J., Linnansaari, T., Pronk, T.,
Allard, S., and Curry, R. A.: Effects of Topographic Resolution and Geologic
Setting on Spatial Statistical River Temperature Models, Water Resour. Res., 56, e2020WR028122, https://doi.org/10.1029/2020WR028122, 2020. a
Paillex, A., Schuwirth, N., Lorenz, A. W., Januschke, K., Peter, A., and
Reichert, P.: Integrating and extending ecological river assessment: Concept
and test with two restoration projects, Ecol. Indicat., 72, 131–141,
https://doi.org/10.1016/j.ecolind.2016.07.048, 2017. a
Perrin, C., Michel, C., and Andréassian, V.: Improvement of a parsimonious model for streamflow simulation, J. Hydrol., 279, 275–289, 2003. a
Piotrowski, A. P., Osuch, M., and Napiorkowski, J. J.: Influence of the choice of stream temperature model on the projections of water temperature in
rivers, J. Hydrol., 601, 126629, https://doi.org/10.1016/j.jhydrol.2021.126629, 2021. a, b, c, d
Ponce, V. and Changanti, P.: Variable-parameter Muskingum-Cunge method
revisited, J. Hydrol., 162, 433–439, https://doi.org/10.1016/0022-1694(94)90241-0, 1994. a
Qiu, H., Blaen, P., Comer-Warner, S., Hannah, D. M., Krause, S., and
Phanikumar, M. S.: Evaluating a Coupled Phenology-Surface Energy Balance
Model to Understand Stream-Subsurface Temperature Dynamics in a Mixed-Use
Farmland Catchment, Water Resour. Res., 55, 1675–1697, https://doi.org/10.1029/2018WR023644, 2019. a
Råman Vinnå, L., Wüest, A., Zappa, M., Fink, G., and Bouffard, D.: Tributaries affect the thermal response of lakes to climate change, Hydrol. Earth Syst. Sci., 22, 31–51, https://doi.org/10.5194/hess-22-31-2018, 2018. a, b
Råman Vinnå, L., Medhaug, I., Schmid, M., and Bouffard, D.: The
vulnerability of lakes to climate change along an altitudinal gradient,
Commun. Earth Environ., 2, 35, https://doi.org/10.1038/s43247-021-00106-w, 2021. a, b
Santiago, J. M., Muñoz Mas, R., Solana-Gutiérrez, J., García
de Jalón, D., Alonso, C., Martínez-Capel, F., Pórtoles, J., Monjo, R., and Ribalaygua, J.: Waning habitats due to climate change: the effects of changes in streamflow and temperature at the rear edge of the distribution of a cold-water fish, Hydrol. Earth Syst. Sci., 21, 4073–4101,
https://doi.org/10.5194/hess-21-4073-2017, 2017. a
Schaefli, B., Hingray, B., and Musy, A.: Climate change and hydropower
production in the Swiss Alps: quantification of potential impacts and related
modelling uncertainties, Hydrol. Earth Syst. Sci., 11, 1191–1205,
https://doi.org/10.5194/hess-11-1191-2007, 2007. a
Schlögl, S., Marty, C., Bavay, M., and Lehning, M.: Sensitivity of Alpine3D modeled snow cover to modifications in DEM resolution, station coverage and meteorological input quantities, Environ. Model. Softw., 83,
387–396, https://doi.org/10.1016/j.envsoft.2016.02.017, 2016. a, b, c
Seyedhashemi, H., Moatar, F., Vidal, J.-P., Diamond, J. S., Beaufort, A.,
Chandesris, A., and Valette, L.: Thermal signatures identify the influence of
dams and ponds on stream temperature at the regional scale, Sci. Total Environ., 766, 142667, https://doi.org/10.1016/j.scitotenv.2020.142667, 2021. a
SLF: SLF git repository, https://gitlabext.wsl.ch/public, last access:
1 February 2022. a
Swiss Federal Office for the Environment: Subdivision de la Suisse en
bassins versants (Bassins versants Suisse), ref: J417-0015,
https://www.bafu.admin.ch/bafu/en/home/topics/water/state/maps/maps-and-evaluations/the-swiss-hydrographic-network.html
(last acces: 17 February 2022), 2020. a
Tarboton, D.: TauDEM, Utah State University,
http://hydrology.usu.edu/taudem/taudem5/ (last access: 1 July 2019), 1997. a
Temnerud, J. and Weyhenmeyer, G.: Abrupt changes in air temperature and
precipitation: Do they matter for water chemistry?, Global Biogeochem. Cy., 22, GB2008, https://doi.org/10.1029/2007GB003023, 2008. a
Thornton, J., Therrien, R., Mariethoz, G., Linde, N., and Brunner, P.:
Simulating fully-integrated hydrological dynamics in complex Alpine
headwaters, https://doi.org/10.31223/X5RG7Q, submitted, 2021. a
Trimmel, H., Weihs, P., Leidinger, D., Formayer, H., Kalny, G., and Melcher,
A.: Can riparian vegetation shade mitigate the expected rise in stream
temperatures due to climate change during heat waves in a human-impacted
pre-alpine river?, Hydrol. Earth Syst. Sci., 22, 437–461,
https://doi.org/10.5194/hess-22-437-2018, 2018. a
van Vliet, M. T., Franssen, W. H., Yearsley, J. R., Ludwig, F., Haddeland, I., Lettenmaier, D. P., and Kabat, P.: Global river discharge and water
temperature under climate change, Global Environ. Change, 23, 450–464,
https://doi.org/10.1016/j.gloenvcha.2012.11.002, 2013. a, b
Viviroli, D., Archer, D. R., Buytaert, W., Fowler, H. J., Greenwood, G. B.,
Hamlet, A. F., Huang, Y., Koboltschnig, G., Litaor, M. I., López-Moreno,
J. I., Lorentz, S., Schädler, B., Schreier, H., Schwaiger, K., Vuille, M., and Woods, R.: Climate change and mountain water resources: overview and
recommendations for research, management and policy, Hydrol. Earth Syst. Sci., 15, 471–504, https://doi.org/10.5194/hess-15-471-2011, 2011. a
Warscher, M., Wagner, S., Marke, T., Laux, P., Smiatek, G., Strasser, U., and
Kunstmann, H.: A 5 km Resolution Regional Climate Simulation for Central
Europe: Performance in High Mountain Areas and Seasonal, Regional and
Elevation-Dependent Variations, Atmosphere, 10, 682, https://doi.org/10.3390/atmos10110682, 2019. a
Watts, G., Battarbee, R. W., Bloomfield, J. P., Crossman, J., Daccache, A.,
Durance, I., Elliott, J. A., Garner, G., Hannaford, J., Hannah, D. M., Hess,
T., Jackson, C. R., Kay, A. L., Kernan, M., Knox, J., Mackay, J., Monteith,
D. T., Ormerod, S. J., Rance, J., Stuart, M. E., Wade, A. J., Wade, S. D.,
Weatherhead, K., Whitehead, P. G., and Wilby, R. L.: Climate change and water
in the UK – past changes and future prospects, Prog. Phys. Geogr., 39, 6–28, https://doi.org/10.1177/0309133314542957, 2015. a, b
Webb, B. W. and Nobilis, F.: Long-term changes in river temperature and the
influence of climatic and hydrological factors, Hydrolog. Sci. J., 52, 74–85, https://doi.org/10.1623/hysj.52.1.74, 2007. a, b
Wever, N., Fierz, C., Mitterer, C., Hirashima, H., and Lehning, M.: Solving
Richards Equation for snow improves snowpack meltwater runoff estimations in
detailed multi-layer snowpack model, The Cryosphere, 8, 257–274,
https://doi.org/10.5194/tc-8-257-2014, 2014. a
Wever, N., Schmid, L., Heilig, A., Eisen, O., Fierz, C., and Lehning, M.:
Verification of the multi-layer SNOWPACK model with different water transport
schemes, The Cryosphere, 9, 2271–2293, https://doi.org/10.5194/tc-9-2271-2015, 2015. a
Wever, N., Comola, F., Bavay, M., and Lehning, M.: Simulating the influence of snow surface processes on soil moisture dynamics and streamflow generation in an alpine catchment, Hydrol. Earth Syst. Sci., 21, 4053–4071,
https://doi.org/10.5194/hess-21-4053-2017, 2017. a
WMO: WMO Guidelines on the Calculation of Climate Normals, Tech. rep., World
Meteorological Organization, 19 pp., ISBN 978-92-63-11203-3, 2017. a
Wondzell, S. M., Diabat, M., and Haggerty, R.: What Matters Most: Are Future
Stream Temperatures More Sensitive to Changing Air Temperatures, Discharge,
or Riparian Vegetation?, J. Am. Water Resour. Assoc., 55, 116–132, https://doi.org/10.1111/1752-1688.12707, 2019.
a, b, c
Woolway, R. I. and Merchant, C. J.: Amplified surface temperature response of
cold, deep lakes to inter-annual air temperature variability, Scient. Rep., 7, 4130, https://doi.org/10.1038/s41598-017-04058-0, 2017. a
Woolway, R. I., Jennings, E., and Carrea, L.: Impact of the 2018 European
heatwave on lake surface water temperature, Inland Waters, 10, 322–332,
https://doi.org/10.1080/20442041.2020.1712180, 2020a. a
Woolway, R. I., Kraemer, B. M., Lenters, J. D., Merchant, C. J., O'Reilly, C. M., and Sharma, S.: Global lake responses to climate change, Nat. Rev. Earth Environ., 1, 388–403, https://doi.org/10.1038/s43017-020-0067-5, 2020b. a
Yan, H., Sun, N., Fullerton, A., and Baerwalde, M.: Greater vulnerability of
snowmelt-fed river thermal regimes to a warming climate, Environ. Res. Lett., 16, 054006, https://doi.org/10.1088/1748-9326/abf393, 2021. a
Zekollari, H., Fürst, J. J., and Huybrechts, P.: Modelling the evolution of
Vadret da Morteratsch, Switzerland, since the Little Ice Age and into the
future, J. Glaciol., 60, 1155–1168, https://doi.org/10.3189/2014JoG14J053, 2014. a
Zekollari, H., Huss, M., and Farinotti, D.: Modelling the future evolution of
glaciers in the European Alps under the EURO-CORDEX RCM ensemble, The
Cryosphere, 13, 1125–1146, https://doi.org/10.5194/tc-13-1125-2019, 2019. a, b
Short summary
This study presents an extensive study of climate change impacts on river temperature in Switzerland. Results show that, even for low-emission scenarios, water temperature increase will lead to adverse effects for both ecosystems and socio-economic sectors throughout the 21st century. For high-emission scenarios, the effect will worsen. This study also shows that water seasonal warming will be different between the Alpine regions and the lowlands. Finally, efficiency of models is assessed.
This study presents an extensive study of climate change impacts on river temperature in...