Articles | Volume 22, issue 2
https://doi.org/10.5194/hess-22-1593-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-22-1593-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
01 Mar 2018
Research article |
| 01 Mar 2018
Projected cryospheric and hydrological impacts of 21st century climate change in the Ötztal Alps (Austria) simulated using a physically based approach
Department of Geography, University of Innsbruck, Innsbruck, Austria
Wegener Center for Climate and Global Change, University of Graz, Graz, Austria
Kristian Förster
Department of Geography, University of Innsbruck, Innsbruck, Austria
Institute of Hydrology and Water Resources Management, Leibniz Universität Hannover, Hannover, Germany
Johanna Nemec
ENVEO IT GmbH, Innsbruck, Austria
Ulrich Strasser
Department of Geography, University of Innsbruck, Innsbruck, Austria
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We present novel research on the spatiotemporal variability of snowmelt isotopic content in a high-elevation catchment with complex terrain
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This article presents predictability analyses of snow accumulation for the upcoming winter season. The results achieved using two coupled atmosphere–ocean general circulation models and a water balance model show that the tendency of snow water equivalent anomalies (i.e. the sign of anomalies) is correctly predicted in up to 11 of 13 years. The results suggest that some seasonal predictions may be capable of predicting tendencies of hydrological model storages in parts of Europe.
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A hydrometeorological and glaciological data set is presented with recordings from several research sites in the Rofental (1891–3772 m a.s.l., Ötztal Alps, Austria). The data sets are spanning 150 years and represent a unique pool of high mountain observations, enabling combined research of atmospheric, cryospheric and hydrological processes in complex terrain, and the development of state-of-the-art hydroclimatological and glacier mass balance models.
Jan Schmieder, Florian Hanzer, Thomas Marke, Jakob Garvelmann, Michael Warscher, Harald Kunstmann, and Ulrich Strasser
Hydrol. Earth Syst. Sci., 20, 5015–5033, https://doi.org/10.5194/hess-20-5015-2016, https://doi.org/10.5194/hess-20-5015-2016, 2016
Short summary
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We present novel research on the spatiotemporal variability of snowmelt isotopic content in a high-elevation catchment with complex terrain
to improve the isotope-based hydrograph separation method. A modelling approach was used to weight the plot-scale snowmelt isotopic content
with melt rates for the north- and south-facing slope. The investigations showed that it is important to sample at least north- and south-facing slopes,
because of distinct isotopic differences between both slopes.
Kristian Förster, Felix Oesterle, Florian Hanzer, Johannes Schöber, Matthias Huttenlau, and Ulrich Strasser
Proc. IAHS, 374, 143–150, https://doi.org/10.5194/piahs-374-143-2016, https://doi.org/10.5194/piahs-374-143-2016, 2016
Short summary
Short summary
We present first results of a coupled seasonal prediction modelling system that runs at monthly time steps for a small catchment in the Austrian Alps. Meteorological forecasts are obtained from the CFSv2 model which are downscaled to the Alpine Water balance And Runoff Estimation model AWARE. Initial conditions are obtained using the physically based, hydro-climatological snow model AMUNDSEN. In this way, ensemble simulations of the coupled model are compared to observations.
Florian Hanzer, Kay Helfricht, Thomas Marke, and Ulrich Strasser
The Cryosphere, 10, 1859–1881, https://doi.org/10.5194/tc-10-1859-2016, https://doi.org/10.5194/tc-10-1859-2016, 2016
Short summary
Short summary
The hydroclimatological model AMUNDSEN is set up to simulate snow and ice accumulation, ablation, and runoff for a study region in the Ötztal Alps (Austria) in the period 1997–2013. A new validation concept is introduced and demonstrated by evaluating the model performance using several independent data sets, e.g. snow depth measurements, satellite-derived snow maps, lidar data, glacier mass balances, and runoff measurements.
Kristian Förster, Florian Hanzer, Benjamin Winter, Thomas Marke, and Ulrich Strasser
Geosci. Model Dev., 9, 2315–2333, https://doi.org/10.5194/gmd-9-2315-2016, https://doi.org/10.5194/gmd-9-2315-2016, 2016
Short summary
Short summary
For many applications in geoscientific modelling hourly meteorological time series are required, which generally cover shorter periods of time compared to daily time series. We present an open-source MEteoroLOgical observation time series DISaggregation Tool (MELODIST) capable of disaggregating temperature, precipitation, humidity, wind speed, and shortwave radiation (i.e. making 24 out of 1 value). Results indicate a good reconstruction of diurnal features at five sites in different climates.
T. Marke, E. Mair, K. Förster, F. Hanzer, J. Garvelmann, S. Pohl, M. Warscher, and U. Strasser
Geosci. Model Dev., 9, 633–646, https://doi.org/10.5194/gmd-9-633-2016, https://doi.org/10.5194/gmd-9-633-2016, 2016
Short summary
Short summary
This article describes the extension of the ESCIMO.spread spreadsheet-based point energy balance snow model by (i) an advanced approach for precipitation phase detection, (ii) a concept for cold and liquid water storage consideration and (iii) a canopy sub-model that allows one to quantify the effect of a forest canopy on the meteorological conditions inside the forest as well as the simulation of snow accumulation and ablation inside a forest stand.
K. Förster, G. Meon, T. Marke, and U. Strasser
Hydrol. Earth Syst. Sci., 18, 4703–4720, https://doi.org/10.5194/hess-18-4703-2014, https://doi.org/10.5194/hess-18-4703-2014, 2014
Short summary
Short summary
Four snow models of different complexity (temperature-index vs. energy balance models) are compared using observed and dynamically downscaled atmospheric analysis data as input. Biases in simulated precipitation lead to lower model performance. However, simulated meteorological conditions are proven to be a valuable meteorological data source as they provide model input in regions with limited availability of observations and allow the application of energy balance approaches.
Related subject area
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A model study of two Himalayan catchments reveals that the summer runoff from the glacierized parts of the catchments responds strongly to temperature forcing and is insensitive to precipitation forcing. The runoff from the non-glacierized parts has the exact opposite behaviour. The interannual variability and decadal changes of runoff under a warming climate is determined by the response of glaciers to temperature forcing and that of off-glacier areas to precipitation perturbations.
Sarah Shannon, Anthony Payne, Jim Freer, Gemma Coxon, Martina Kauzlaric, David Kriegel, and Stephan Harrison
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Climate change poses a potential threat to water supply in glaciated river catchments. In this study, we added a snowmelt and glacier melt model to the Dynamic fluxEs and ConnectIvity for Predictions of HydRology model (DECIPHeR). The model is applied to the Naryn River catchment in central Asia and is found to reproduce past change discharge and the spatial extent of seasonal snow cover well.
Eunsang Cho, Carrie M. Vuyovich, Sujay V. Kumar, Melissa L. Wrzesien, Rhae Sung Kim, and Jennifer M. Jacobs
Hydrol. Earth Syst. Sci., 26, 5721–5735, https://doi.org/10.5194/hess-26-5721-2022, https://doi.org/10.5194/hess-26-5721-2022, 2022
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While land surface models are a common approach for estimating macroscale snow water equivalent (SWE), the SWE accuracy is often limited by uncertainties in model physics and forcing inputs. In this study, we found large underestimations of modeled SWE compared to observations. Precipitation forcings and melting physics limitations dominantly contribute to the SWE underestimations. Results provide insights into prioritizing strategies to improve the SWE simulations for hydrologic applications.
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Revised manuscript accepted for HESS
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This study analyzes snow cover evolution in mountainous forested terrain based on 2 m-resolution simulations from a process-based model. We show that snow accumulation patterns are controlled by canopy structure, but topographic shading modulates the timing of melt onset, and variability in weather can cause snow accumulation and melt patterns to vary between years. These findings advance our ability to predict how snow regimes will react to rising temperatures and forest disturbances.
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Hydrol. Earth Syst. Sci., 26, 3055–3077, https://doi.org/10.5194/hess-26-3055-2022, https://doi.org/10.5194/hess-26-3055-2022, 2022
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Hydrol. Earth Syst. Sci., 26, 2605–2616, https://doi.org/10.5194/hess-26-2605-2022, https://doi.org/10.5194/hess-26-2605-2022, 2022
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A comprehensive assessment of snowmelt is missing for China. Trends and variability in snowmelt in China under climate change are investigated using historical precipitation and temperature data (1951–2017) and projection scenarios (2006–2099). The snowmelt and snowmelt runoff ratio show significant spatial and temporal variability in China. The spatial variability in snowmelt changes may lead to regional differences in the impact of snowmelt on the water supply.
Ryan L. Crumley, David F. Hill, Katreen Wikstrom Jones, Gabriel J. Wolken, Anthony A. Arendt, Christina M. Aragon, Christopher Cosgrove, and Community Snow Observations Participants
Hydrol. Earth Syst. Sci., 25, 4651–4680, https://doi.org/10.5194/hess-25-4651-2021, https://doi.org/10.5194/hess-25-4651-2021, 2021
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In this study, we use a new snow data set collected by participants in the Community Snow Observations project in coastal Alaska to improve snow depth and snow water equivalence simulations from a snow process model. We validate our simulations with multiple datasets, taking advantage of snow telemetry (SNOTEL), snow depth and snow water equivalence, and remote sensing measurements. Our results demonstrate that assimilating citizen science snow depth measurements can improve model performance.
Esteban Alonso-González, Ethan Gutmann, Kristoffer Aalstad, Abbas Fayad, Marine Bouchet, and Simon Gascoin
Hydrol. Earth Syst. Sci., 25, 4455–4471, https://doi.org/10.5194/hess-25-4455-2021, https://doi.org/10.5194/hess-25-4455-2021, 2021
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Snow water resources represent a key hydrological resource for the Mediterranean regions, where most of the precipitation falls during the winter months. This is the case for Lebanon, where snowpack represents 31 % of the spring flow. We have used models to generate snow information corrected by means of remote sensing snow cover retrievals. Our results highlight the high temporal variability in the snowpack in Lebanon and its sensitivity to further warming caused by its hypsography.
Michael Weber, Franziska Koch, Matthias Bernhardt, and Karsten Schulz
Hydrol. Earth Syst. Sci., 25, 2869–2894, https://doi.org/10.5194/hess-25-2869-2021, https://doi.org/10.5194/hess-25-2869-2021, 2021
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We compared a suite of globally available meteorological and DEM data with in situ data for physically based snow hydrological modelling in a small high-alpine catchment. Although global meteorological data were less suited to describe the snowpack properly, transferred station data from a similar location in the vicinity and substituting single variables with global products performed well. In addition, using 30 m global DEM products as model input was useful in such complex terrain.
Francesco Avanzi, Giulia Ercolani, Simone Gabellani, Edoardo Cremonese, Paolo Pogliotti, Gianluca Filippa, Umberto Morra di Cella, Sara Ratto, Hervè Stevenin, Marco Cauduro, and Stefano Juglair
Hydrol. Earth Syst. Sci., 25, 2109–2131, https://doi.org/10.5194/hess-25-2109-2021, https://doi.org/10.5194/hess-25-2109-2021, 2021
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Precipitation tends to increase with elevation, but the magnitude and distribution of this enhancement remain poorly understood. By leveraging over 11 000 spatially distributed, manual measurements of snow depth (snow courses) upstream of two reservoirs in the western European Alps, we show that these courses bear a characteristic signature of orographic precipitation. This opens a window of opportunity for improved modeling accuracy and, ultimately, our understanding of the water budget.
Michael Winkler, Harald Schellander, and Stefanie Gruber
Hydrol. Earth Syst. Sci., 25, 1165–1187, https://doi.org/10.5194/hess-25-1165-2021, https://doi.org/10.5194/hess-25-1165-2021, 2021
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A new method to calculate the mass of snow is provided. It is quite simple but gives surprisingly good results. The new approach only requires regular snow depth observations to simulate respective water mass that is stored in the snow. It is called
ΔSNOW model, its code is freely available, and it can be applied in various climates. The method is especially interesting for studies on extremes (e.g., snow loads or flooding) and climate (e.g., precipitation trends).
Fraser King, Andre R. Erler, Steven K. Frey, and Christopher G. Fletcher
Hydrol. Earth Syst. Sci., 24, 4887–4902, https://doi.org/10.5194/hess-24-4887-2020, https://doi.org/10.5194/hess-24-4887-2020, 2020
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Snow is a critical contributor to our water and energy budget, with impacts on flooding and water resource management. Measuring the amount of snow on the ground each year is an expensive and time-consuming task. Snow models and gridded products help to fill these gaps, yet there exist considerable uncertainties associated with their estimates. We demonstrate that machine learning techniques are able to reduce biases in these products to provide more realistic snow estimates across Ontario.
Silvia Terzago, Valentina Andreoli, Gabriele Arduini, Gianpaolo Balsamo, Lorenzo Campo, Claudio Cassardo, Edoardo Cremonese, Daniele Dolia, Simone Gabellani, Jost von Hardenberg, Umberto Morra di Cella, Elisa Palazzi, Gaia Piazzi, Paolo Pogliotti, and Antonello Provenzale
Hydrol. Earth Syst. Sci., 24, 4061–4090, https://doi.org/10.5194/hess-24-4061-2020, https://doi.org/10.5194/hess-24-4061-2020, 2020
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In mountain areas high-quality meteorological data to drive snow models are rarely available, so coarse-resolution data from spatial interpolation of the available in situ measurements or reanalyses are typically employed. We perform 12 experiments using six snow models with different degrees of complexity to show the impact of the accuracy of the forcing on snow depth and snow water equivalent simulations at the Alpine site of Torgnon, discussing the results in relation to the model complexity.
Nora Helbig, David Moeser, Michaela Teich, Laure Vincent, Yves Lejeune, Jean-Emmanuel Sicart, and Jean-Matthieu Monnet
Hydrol. Earth Syst. Sci., 24, 2545–2560, https://doi.org/10.5194/hess-24-2545-2020, https://doi.org/10.5194/hess-24-2545-2020, 2020
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Snow retained in the forest canopy (snow interception) drives spatial variability of the subcanopy snow accumulation. As such, accurately describing snow interception in models is of importance for various applications such as hydrological, weather, and climate predictions. We developed descriptions for the spatial mean and variability of snow interception. An independent evaluation demonstrated that the novel models can be applied in coarse land surface model grid cells.
Louis Quéno, Fatima Karbou, Vincent Vionnet, and Ingrid Dombrowski-Etchevers
Hydrol. Earth Syst. Sci., 24, 2083–2104, https://doi.org/10.5194/hess-24-2083-2020, https://doi.org/10.5194/hess-24-2083-2020, 2020
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In mountainous terrain, the snowpack is strongly affected by incoming shortwave and longwave radiation. Satellite-derived products of incoming radiation were assessed in the French Alps and the Pyrenees and compared to meteorological forecasts, reanalyses and in situ measurements. We showed their good quality in mountains. The different radiation datasets were used as radiative forcing for snowpack simulations with the detailed model Crocus. Their impact on the snowpack evolution was explored.
Emma L. Robinson and Douglas B. Clark
Hydrol. Earth Syst. Sci., 24, 1763–1779, https://doi.org/10.5194/hess-24-1763-2020, https://doi.org/10.5194/hess-24-1763-2020, 2020
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This study used a water balance approach based on GRACE total water storage to infer the amount of cold-season precipitation in four Arctic river basins. This was used to evaluate four gridded meteorological data sets, which were used as inputs to a land surface model. We found that the cold-season precipitation in these data sets needed to be increased by up to 55 %. Using these higher precipitation inputs improved the model representation of Arctic hydrology, particularly lying snow.
Abbas Fayad and Simon Gascoin
Hydrol. Earth Syst. Sci., 24, 1527–1542, https://doi.org/10.5194/hess-24-1527-2020, https://doi.org/10.5194/hess-24-1527-2020, 2020
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Seasonal snowpack is an essential water resource in Mediterranean mountains. Here, we look at the role of water percolation in simulating snow mass (SWE), for the first time, in Mount Lebanon. We use SnowModel, a distributed snow model, forced by station data. The main sources of uncertainty were attributed to rain–snow partitioning, transient winter snowmelt, and the subpixel snow cover. Yet, we show that a process-based model is suitable to simulate wet snowpack in Mediterranean mountains.
Joel Fiddes, Kristoffer Aalstad, and Sebastian Westermann
Hydrol. Earth Syst. Sci., 23, 4717–4736, https://doi.org/10.5194/hess-23-4717-2019, https://doi.org/10.5194/hess-23-4717-2019, 2019
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In this paper we address one of the big challenges in snow hydrology, namely the accurate simulation of the seasonal snowpack in ungauged regions. We do this by assimilating satellite observations of snow cover into a modelling framework. Importantly (and a novelty of the paper), we include a clustering approach that permits highly efficient ensemble simulations. Efficiency gains and dependency on purely global datasets, means that this method can be applied over large areas anywhere on Earth.
Keith S. Jennings and Noah P. Molotch
Hydrol. Earth Syst. Sci., 23, 3765–3786, https://doi.org/10.5194/hess-23-3765-2019, https://doi.org/10.5194/hess-23-3765-2019, 2019
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There is a wide variety of modeling methods to designate precipitation as rain, snow, or a mix of the two. Here we show that method choice introduces marked uncertainty to simulated snowpack water storage (> 200 mm) and snow cover duration (> 1 month) in areas that receive significant winter and spring precipitation at air temperatures at and near freezing. This marked uncertainty has implications for water resources management as well as simulations of past and future hydroclimatic states.
Maria Andrianaki, Juna Shrestha, Florian Kobierska, Nikolaos P. Nikolaidis, and Stefano M. Bernasconi
Hydrol. Earth Syst. Sci., 23, 3219–3232, https://doi.org/10.5194/hess-23-3219-2019, https://doi.org/10.5194/hess-23-3219-2019, 2019
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We tested the performance of the SWAT hydrological model after being transferred from a small Alpine watershed to a greater area. We found that the performance of the model for the greater catchment was satisfactory and the climate change simulations gave insights into the impact of climate change on our site. Assessment tests are important in identifying the strengths and weaknesses of the models when they are applied under extreme conditions different to the ones that were calibrated.
Wenfeng Huang, Bin Cheng, Jinrong Zhang, Zheng Zhang, Timo Vihma, Zhijun Li, and Fujun Niu
Hydrol. Earth Syst. Sci., 23, 2173–2186, https://doi.org/10.5194/hess-23-2173-2019, https://doi.org/10.5194/hess-23-2173-2019, 2019
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Up to now, little has been known on ice thermodynamics and lake–atmosphere interaction over the Tibetan Plateau during ice-covered seasons due to a lack of field data. Here, model experiments on ice thermodynamics were conducted in a shallow lake using HIGHTSI. Water–ice heat flux was a major source of uncertainty for lake ice thickness. Heat and mass budgets were estimated within the vertical air–ice–water system. Strong ice sublimation occurred and was responsible for water loss during winter.
Phillip Harder, John W. Pomeroy, and Warren D. Helgason
Hydrol. Earth Syst. Sci., 23, 1–17, https://doi.org/10.5194/hess-23-1-2019, https://doi.org/10.5194/hess-23-1-2019, 2019
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As snow cover becomes patchy during snowmelt, energy is advected from warm snow-free surfaces to cold snow-covered surfaces. This paper proposes a simple sensible and latent heat advection model for snowmelt situations that can be coupled to one-dimensional energy balance snowmelt models. The model demonstrates that sensible and latent heat advection fluxes can compensate for one another, especially in early melt periods.
Fanny Larue, Alain Royer, Danielle De Sève, Alexandre Roy, and Emmanuel Cosme
Hydrol. Earth Syst. Sci., 22, 5711–5734, https://doi.org/10.5194/hess-22-5711-2018, https://doi.org/10.5194/hess-22-5711-2018, 2018
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A data assimilation scheme was developed to improve snow water equivalent (SWE) simulations by updating meteorological forcings and snowpack states using passive microwave satellite observations. A chain of models was first calibrated to simulate satellite observations over northeastern Canada. The assimilation was then validated over 12 stations where daily SWE measurements were acquired during 4 winters (2012–2016). The overall SWE bias is reduced by 68 % compared to original SWE simulations.
Michael L. Follum, Jeffrey D. Niemann, Julie T. Parno, and Charles W. Downer
Hydrol. Earth Syst. Sci., 22, 2669–2688, https://doi.org/10.5194/hess-22-2669-2018, https://doi.org/10.5194/hess-22-2669-2018, 2018
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Spatial patterns of snow and frozen ground within watersheds can impact the volume and timing of runoff. Commonly used snow and frozen ground simulation methods were modified to better account for the effects of topography and land cover on the spatial patterns of snow and frozen ground. When tested using a watershed in Vermont the modifications resulted in more accurate temporal and spatial simulation of both snow and frozen ground.
Jan Seibert, Marc J. P. Vis, Irene Kohn, Markus Weiler, and Kerstin Stahl
Hydrol. Earth Syst. Sci., 22, 2211–2224, https://doi.org/10.5194/hess-22-2211-2018, https://doi.org/10.5194/hess-22-2211-2018, 2018
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In many glacio-hydrological models glacier areas are assumed to be constant over time, which is a crucial limitation. Here we describe a novel approach to translate mass balances as simulated by the (glacio)hydrological model into glacier area changes. We combined the Δh approach of Huss et al. (2010) with the bucket-type model HBV and introduced a lookup table approach, which also allows periods with advancing glaciers to be represented, which is not possible with the original Huss method.
Muhammad Fraz Ismail and Wolfgang Bogacki
Hydrol. Earth Syst. Sci., 22, 1391–1409, https://doi.org/10.5194/hess-22-1391-2018, https://doi.org/10.5194/hess-22-1391-2018, 2018
Marit Van Tiel, Adriaan J. Teuling, Niko Wanders, Marc J. P. Vis, Kerstin Stahl, and Anne F. Van Loon
Hydrol. Earth Syst. Sci., 22, 463–485, https://doi.org/10.5194/hess-22-463-2018, https://doi.org/10.5194/hess-22-463-2018, 2018
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Glaciers are important hydrological reservoirs. Short-term variability in glacier melt and also glacier retreat can cause droughts in streamflow. In this study, we analyse the effect of glacier changes and different drought threshold approaches on future projections of streamflow droughts in glacierised catchments. We show that these different methodological options result in different drought projections and that these options can be used to study different aspects of streamflow droughts.
Felix N. Matt, John F. Burkhart, and Joni-Pekka Pietikäinen
Hydrol. Earth Syst. Sci., 22, 179–201, https://doi.org/10.5194/hess-22-179-2018, https://doi.org/10.5194/hess-22-179-2018, 2018
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Certain particles that have the ability to absorb sunlight deposit onto mountain snow via atmospheric transport mechanisms and then lower the snow's ability to reflect sunlight, which increases snowmelt. Herein we present a model aiming to simulate this effect and model the impacts on the streamflow of a southern Norwegian river. We find a significant difference in streamflow between simulations with and without the effect of light absorbing particles applied, in particular during spring melt.
Hiroyuki Hirashima, Francesco Avanzi, and Satoru Yamaguchi
Hydrol. Earth Syst. Sci., 21, 5503–5515, https://doi.org/10.5194/hess-21-5503-2017, https://doi.org/10.5194/hess-21-5503-2017, 2017
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We reproduced the formation of capillary barriers and the development of preferential flow through snow using a multi-dimensional water transport model, which was then validated using laboratory experiments of liquid water infiltration into layered, initially dry snow. Simulation results showed that the model reconstructs some relevant features of capillary barriers and the timing of liquid water arrival at the snow base.
Claudio Bravo, Thomas Loriaux, Andrés Rivera, and Ben W. Brock
Hydrol. Earth Syst. Sci., 21, 3249–3266, https://doi.org/10.5194/hess-21-3249-2017, https://doi.org/10.5194/hess-21-3249-2017, 2017
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We present an analysis of meteorological conditions and melt for Universidad Glacier in central Chile. This glacier is characterized by high melt rates over the ablation season, representing a mean contribution of between 10 and 13 % of the total runoff observed in the upper Tinguiririca Basin during the November 2009 to March 2010 period. Few studies have quantified the glacier melt contribution to river runoff in Chile, and this work represents a new precedent for the Andes.
Sebastian Würzer, Nander Wever, Roman Juras, Michael Lehning, and Tobias Jonas
Hydrol. Earth Syst. Sci., 21, 1741–1756, https://doi.org/10.5194/hess-21-1741-2017, https://doi.org/10.5194/hess-21-1741-2017, 2017
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We discuss a dual-domain water transport model in a physics-based snowpack model to account for preferential flow (PF) in addition to matrix flow. So far no operationally used snow model has explicitly accounted for PF. The new approach is compared to existing water transport models and validated against in situ data from sprinkling and natural rain-on-snow (ROS) events. Our work demonstrates the benefit of considering PF in modelling hourly snowpack runoff, especially during ROS conditions.
Kelly E. Gleason, Anne W. Nolin, and Travis R. Roth
Hydrol. Earth Syst. Sci., 21, 1137–1147, https://doi.org/10.5194/hess-21-1137-2017, https://doi.org/10.5194/hess-21-1137-2017, 2017
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We present a coupled modeling approach used to objectively identify representative snow-monitoring locations in a forested watershed in the western Oregon Cascades mountain range. The resultant Forest Elevational Snow Transect (ForEST) represents combinations of forested and open land cover types at low, mid-, and high elevations.
Rafael Pimentel, Javier Herrero, and María José Polo
Hydrol. Earth Syst. Sci., 21, 805–820, https://doi.org/10.5194/hess-21-805-2017, https://doi.org/10.5194/hess-21-805-2017, 2017
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This study analyses the subgrid variability of the snow distribution in a Mediterranean region and formulates a parametric approach that includes these scale effects in the physical modelling of snow by means of accumulation–depletion curves associated with snow evolution patterns, by means of terrestrial photography. The results confirm that the use of these on a cell scale provides a solid foundation for the extension of point snow models to larger areas.
Nena Griessinger, Jan Seibert, Jan Magnusson, and Tobias Jonas
Hydrol. Earth Syst. Sci., 20, 3895–3905, https://doi.org/10.5194/hess-20-3895-2016, https://doi.org/10.5194/hess-20-3895-2016, 2016
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In Alpine catchments, snowmelt is a major contribution to runoff. In this study, we address the question of whether the performance of a hydrological model can be enhanced by integrating data from an external snow monitoring system. To this end, a hydrological model was driven with snowmelt input from snow models of different complexities. Best performance was obtained with a snow model, which utilized data assimilation, in particular for catchments at higher elevations and for snow-rich years.
Jacob C. Yde, Niels T. Knudsen, Jørgen P. Steffensen, Jonathan L. Carrivick, Bent Hasholt, Thomas Ingeman-Nielsen, Christian Kronborg, Nicolaj K. Larsen, Sebastian H. Mernild, Hans Oerter, David H. Roberts, and Andrew J. Russell
Hydrol. Earth Syst. Sci., 20, 1197–1210, https://doi.org/10.5194/hess-20-1197-2016, https://doi.org/10.5194/hess-20-1197-2016, 2016
E. Cornwell, N. P. Molotch, and J. McPhee
Hydrol. Earth Syst. Sci., 20, 411–430, https://doi.org/10.5194/hess-20-411-2016, https://doi.org/10.5194/hess-20-411-2016, 2016
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We present a high-resolution snow water equivalent estimation for the 2001–2014 period over the extratropical Andes Cordillera of Argentina and Chile, the first of its type. The effect of elevation on accumulation is confirmed, although this is less marked in the northern portion of the domain. The 3000–4000 m a.s.l. elevation band contributes the bulk of snowmelt, but the 4000–5000 m a.s.l. band is a significant source and deserves further monitoring and research.
S. Frey and H. Holzmann
Hydrol. Earth Syst. Sci., 19, 4517–4530, https://doi.org/10.5194/hess-19-4517-2015, https://doi.org/10.5194/hess-19-4517-2015, 2015
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Temperature index melt models often lead to snow accumulation in high mountainous elevations. We developed a simple conceptual snow redistribution model working on a commonly used grid cell size of 1x1km. That model is integrated in the hydrological rainfall runoff model COSERO. Applying the model to the catchment of Oetztaler Ache, Austria, could prevent the accumulation of snow in the upper altitudes and lead to an improved model efficiency regarding discharge and snow coverage (MODIS).
Z. H. He, F. Q. Tian, H. V. Gupta, H. C. Hu, and H. P. Hu
Hydrol. Earth Syst. Sci., 19, 1807–1826, https://doi.org/10.5194/hess-19-1807-2015, https://doi.org/10.5194/hess-19-1807-2015, 2015
S. J. Marshall
Hydrol. Earth Syst. Sci., 18, 5181–5200, https://doi.org/10.5194/hess-18-5181-2014, https://doi.org/10.5194/hess-18-5181-2014, 2014
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This paper presents a new 12-year glacier meteorological, mass balance, and run-off record from the Canadian Rocky Mountains. This provides insight into the glaciohydrological regime of the Rockies. For the period 2002-2013, about 60% of glacier meltwater run-off originated from seasonal snow and 40% was derived from glacier ice and firn. Ice and firn run-off is concentrated in the months of August and September, at which time it contributes significantly to regional-scale water resources.
J. You, D. G. Tarboton, and C. H. Luce
Hydrol. Earth Syst. Sci., 18, 5061–5076, https://doi.org/10.5194/hess-18-5061-2014, https://doi.org/10.5194/hess-18-5061-2014, 2014
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This paper evaluates three improvements to an energy balance snowmelt model aimed to represent snow surface temperature while retaining the parsimony of a single layer. Surface heat flow is modeled using a forcing term related to the vertical temperature difference and a restore term related to the temporal gradient of surface temperature. Adjustments for melt water refreezing and thermal conductivity when the snow is shallow are introduced. The model performs well at the three test sites.
Z. H. He, J. Parajka, F. Q. Tian, and G. Blöschl
Hydrol. Earth Syst. Sci., 18, 4773–4789, https://doi.org/10.5194/hess-18-4773-2014, https://doi.org/10.5194/hess-18-4773-2014, 2014
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In this paper, we propose a new method for estimating the snowmelt degree-day factor (DDFS) directly from MODIS snow covered area (SCA) and ground-based snow depth data without calibration. Snow density is estimated as the ratio between observed precipitation and changes in the snow volume for days with snow accumulation. DDFS values are estimated as the ratio between changes in the snow water equivalent and difference between the daily temperature and a threshold value for days with snowmelt.
K. Förster, G. Meon, T. Marke, and U. Strasser
Hydrol. Earth Syst. Sci., 18, 4703–4720, https://doi.org/10.5194/hess-18-4703-2014, https://doi.org/10.5194/hess-18-4703-2014, 2014
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Four snow models of different complexity (temperature-index vs. energy balance models) are compared using observed and dynamically downscaled atmospheric analysis data as input. Biases in simulated precipitation lead to lower model performance. However, simulated meteorological conditions are proven to be a valuable meteorological data source as they provide model input in regions with limited availability of observations and allow the application of energy balance approaches.
N. Wever, T. Jonas, C. Fierz, and M. Lehning
Hydrol. Earth Syst. Sci., 18, 4657–4669, https://doi.org/10.5194/hess-18-4657-2014, https://doi.org/10.5194/hess-18-4657-2014, 2014
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We simulated a severe rain-on-snow event in the Swiss Alps in October 2011 with a detailed multi-layer snow cover model. We found a strong modulating effect of the incoming rainfall signal by the snow cover. Initially, water from both rainfall and snow melt was absorbed by the snowpack. But once the snowpack released the stored water, simulated outflow rates exceeded rainfall and snow melt rates. The simulations suggest that structural snowpack changes enhanced the outflow during this event.
K. Fujita and A. Sakai
Hydrol. Earth Syst. Sci., 18, 2679–2694, https://doi.org/10.5194/hess-18-2679-2014, https://doi.org/10.5194/hess-18-2679-2014, 2014
D. Freudiger, I. Kohn, K. Stahl, and M. Weiler
Hydrol. Earth Syst. Sci., 18, 2695–2709, https://doi.org/10.5194/hess-18-2695-2014, https://doi.org/10.5194/hess-18-2695-2014, 2014
C. Fu, I. Popescu, C. Wang, A. E. Mynett, and F. Zhang
Hydrol. Earth Syst. Sci., 18, 1225–1237, https://doi.org/10.5194/hess-18-1225-2014, https://doi.org/10.5194/hess-18-1225-2014, 2014
M. Shrestha, L. Wang, T. Koike, H. Tsutsui, Y. Xue, and Y. Hirabayashi
Hydrol. Earth Syst. Sci., 18, 747–761, https://doi.org/10.5194/hess-18-747-2014, https://doi.org/10.5194/hess-18-747-2014, 2014
G. A. Artan, J. P. Verdin, and R. Lietzow
Hydrol. Earth Syst. Sci., 17, 5127–5139, https://doi.org/10.5194/hess-17-5127-2013, https://doi.org/10.5194/hess-17-5127-2013, 2013
Cited articles
Abermann, J., Lambrecht, A., Fischer, A., and Kuhn, M.: Quantifying changes and
trends in glacier area and volume in the Austrian Ötztal Alps (1969–1997–2006),
The Cryosphere, 3, 205–215, https://doi.org/10.5194/tc-3-205-2009, 2009. a
Allen, R. G., Pereira, L. S., Raes, D., and Smith, M.: Crop evapotranspiration:
guidelines for computing crop water requirements, FAO Irrigation and Drainage
Paper 56, Food and Agriculture Organization, Rome, 1998. a
Anderson, E. A.: A point energy and mass balance model of a snow cover,
Tech. Rep. NWS 19, NOAA, Silver Spring, MD, 1976. 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, 2005. a
Beniston, M.: Climatic Change in Mountain Regions: A Review of Possible
Impacts, Climatic Change, 59, 5–31, 2003. a
Beniston, M., Keller, F., Koffi, B., and Goyette, S.: Estimates of snow
accumulation and volume in the Swiss Alps under changing climatic conditions,
Theor. Appl. Climatol., 76, 125–140, 2003. a
Cannon, A. J., Sobie, S. R., Murdock, T. Q., Cannon, A. J., Sobie, S. R., and
Murdock, T. Q.: Bias Correction of GCM Precipitation by Quantile Mapping: How
Well Do Methods Preserve Changes in Quantiles and Extremes?, J. Climate, 28,
6938–6959, https://doi.org/10.1175/JCLI-D-14-00754.1, 2015. a
Collins, D. N.: Climatic warming, glacier recession and runoff from Alpine basins
after the Little Ice Age maximum, Ann. Glaciol., 48, 119–124, 2008. a
Corripio, J.: Modelling the energy balance of high altitude glacierised basins
in the Central Andes, PhD thesis, University of Edinburgh, Edinburgh, 2002. a
Déqué, M.: Frequency of precipitation and temperature extremes over
France in an anthropogenic scenario: Model results and statistical correction
according to observed values, Global Planet. Change, 57, 16–26, 2007. a
Finger, D., Heinrich, G., Gobiet, A., and Bauder, A.: Projections of future
water resources and their uncertainty in a glacierized catchment in the Swiss
Alps and the subsequent effects on hydropower production during the 21st century,
Water Resour. Res., 48, W02521, https://doi.org/10.1029/2011WR010733, 2012. a, b, c, d
Förster, K., Hanzer, F., Winter, B., Marke, T., and Strasser, U.: An
open-source MEteoroLOgical observation time series DISaggregation Tool
(MELODIST v0.1.1), Geosci. Model Dev., 9, 2315–2333, https://doi.org/10.5194/gmd-9-2315-2016, 2016. a
Frei, P., Kotlarski, S., Liniger, M. A., and Schär, C.: Future snowfall in
the Alps: projections based on the EURO-CORDEX regional climate models, The
Cryosphere, 12, 1–24, https://doi.org/10.5194/tc-12-1-2018, 2018. a
Gudmundsson, L., Bremnes, J. B., Haugen, J. E., and Engen-Skaugen, T.: Technical
Note: Downscaling RCM precipitation to the station scale using statistical
transformations – a comparison of methods, Hydrol. Earth Syst. Sci., 16,
3383–3390, https://doi.org/10.5194/hess-16-3383-2012, 2012. a
Gutmann, E., Barstad, I., Clark, M., Arnold, J., and Rasmussen, R.: The
Intermediate Complexity Atmospheric Research Model (ICAR), J. Hydrometeorol.,
17, 957–973, https://doi.org/10.1175/JHM-D-15-0155.1, 2016. a
Hanzer, F., Marke, T., and Strasser, U.: Distributed, explicit modeling of
technical snow production for a ski area in the Schladming region (Austrian
Alps), Cold Regions Science and Technology, 108, 113–124, 2014. a
Hanzer, F., Förster, K., Winter, B., and Marke, T.: melodist: MELODIST 0.1.2,
https://doi.org/10.5281/zenodo.1123277, 2017. a
Helfricht, K., Kuhn, M., Keuschnig, M., and Heilig, A.: Lidar snow cover studies
on glaciers in the Ötztal Alps (Austria): comparison with snow depths
calculated from GPR measurements, The Cryosphere, 8, 41–57, https://doi.org/10.5194/tc-8-41-2014, 2014. a
Hofer, M., Nemec, J., Cullen, N. J., and Weber, M.: Evaluating predictor
strategies for regression-based downscaling with a focus on glacierized
mountain environments, J. Appl. Meteorol. Clim., 56, 1707–1729, https://doi.org/10.1175/JAMC-D-16-0215.1, 2017. a, b
Huss, M. and Farinotti, D.: Distributed ice thickness and volume of all glaciers
around the globe, J. Geophys. Res.-Ea. Surf., 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, 54, https://doi.org/10.3389/feart.2015.00054, 2015. a, b
Huss, M., Farinotti, D., Bauder, A., and Funk, M.: Modelling runoff from
highly glacierized alpine drainage basins in a changing climate, Hydrol. Process.,
22, 3888–3902, 2008. a
Huss, M., Funk, M., and Ohmura, A.: Strong Alpine glacier melt in the 1940s
due to enhanced solar radiation, Geophys. Res. Lett., 36, L23501, https://doi.org/10.1029/2009GL040789, 2009. a, b
Jacob, D., Petersen, J., Eggert, B., Alias, A., Christensen, O. B., Bouwer, L.
M., Braun, A., Colette, A., Déqué, M., Georgievski, G., Georgopoulou,
E., Gobiet, A., Menut, L., Nikulin, G., Haensler, A., Hempelmann, N., Jones, C.,
Keuler, K., Kovats, S., Kröner, N., Kotlarski, S., Kriegsmann, A., Martin,
E., van Meijgaard, E., Moseley, C., Pfeifer, S., Preuschmann, S., Radermacher,
C., Radtke, K., Rechid, D., Rounsevell, M., Samuelsson, P., Somot, S., Soussana,
J.-F., Teichmann, C., Valentini, R., Vautard, R., Weber, B., and Yiou, P.:
EURO-CORDEX: new high-resolution climate change projections for European impact
research, Reg. Environ. Change, 14, 563–578, 2013. a
Jansson, P., Hock, R., and Schneider, T.: The concept of glacier storage: a
review, J. Hydrol., 282, 116–129, 2003. a
Jordan, R.: A one-dimensional temperature model for a snow cover: Technical
documentation for SNTHERM 89, Tech. rep., Hanover, NH, 1991. a
Jouvet, G., Huss, M., Funk, M., and Blatter, H.: Modelling the retreat of
Grosser Aletschgletscher, Switzerland, in a changing climate, J. Glaciol., 57, 1033–1045, 2011. a
Klemeš, V.: The modelling of mountain hydrology: the ultimate challenge,
in: Hydrology of Mountainous Areas, IAHS Publication 190, edited by: Molnar, L.,
IAHS Press, Wallingford, UK, 29–43, 1990. a
Kuhn, M. and Batlogg, N.: Glacier runoff in Alpine headwaters in a changing
climate, in: Hydrology, Water Resources and Ecology in Headwaters, IAHS Publ.
no. 248, Proceedings of the HeadWater'98 conference, April 1998, Meran/Merano,
Italy, 79–88, 1998. a
Kuhn, M. and Olefs, M.: Auswirkung von Klimaänderungen auf das Abflussverhalten
von vergletscherten Einzugsgebieten im Hinblick auf Speicherkraftwerke, in:
StartClim2007E, Institute of Meteorology and Geophysics, University of Innsbruck,
Vienna, Austria, 2007. a
Kuhn, M., Lambrecht, A., and Abermann, J.: The Austrian glacier inventory GI 2,
1998, in: ArcGIS (shapefile) format, PANGAEA, 2015. a
Marke, T., Strasser, U., Hanzer, F., Stötter, J., Wilcke, R. A. I., and
Gobiet, A.: Scenarios of Future Snow Conditions in Styria (Austrian Alps),
J. Hydrometeorol., 16, 261–277, 2015. a
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, b, c
Marzeion, B., Jarosch, A. H., and Hofer, M.: Past and future sea-level change
from the surface mass balance of glaciers, The Cryosphere, 6, 1295–1322,
https://doi.org/10.5194/tc-6-1295-2012, 2012. a
Marzeion, B., Jarosch, A. H., and Gregory, J. M.: Feedbacks and mechanisms
affecting the global sensitivity of glaciers to climate change, The Cryosphere,
8, 59–71, https://doi.org/10.5194/tc-8-59-2014, 2014. a
Maurer, E. P. and Pierce, D. W.: Bias correction can modify climate model
simulated precipitation changes without adverse effect on the ensemble mean,
Hydrol. Earth Syst. Sci., 18, 915–925, https://doi.org/10.5194/hess-18-915-2014, 2014. a
Milano, M., Reynard, E., Bosshard, N., and Weingartner, R.: Simulating future
trends in hydrological regimes in Western Switzerland, J. Hydrol., 4, 748–761, 2015. a
Ohmura, A., Bauder, A., Müller, H., and Kappenberger, G.: Long-term change
of mass balance and the role of radiation, Ann. Glaciol., 46, 367–374, 2007. a
Pellicciotti, F., Brock, B., Strasser, U., Burlando, P., Funk, M., and
Corripio, J.: An enhanced temperature-index glacier melt model including the
shortwave radiation balance: Development and testing for Haut Glacier
d'Arolla, Switzerland, Journal of Glaciology, 51, 573–587, 2005. a
Pomeroy, J. W., Gray, D. M., Brown, T., Hedstrom, N. R., Quinton, W. L.,
Granger, R. J., and Carey, S. K.: The cold regions hydrological model: a
platform for basing process representation and model structure on physical
evidence, Hydrol. Process., 21, 2650–2667, 2007. a
Prasch, M., Marke, T., Strasser, U., and Mauser, W.: Large scale integrated
hydrological modelling of the impact of climate change on the water balance with
DANUBIA, Adv. Sci. Res., 7, 61–70, https://doi.org/10.5194/asr-7-61-2011, 2011. a
Ragettli, S., Pellicciotti, F., Bordoy, R., and Immerzeel, W. W.: Sources of
uncertainty in modeling the glaciohydrological response of a Karakoram
watershed to climate change, Water Resour. Res., 49, 6048–6066, 2013. a
Schaefli, B.: Projecting hydropower production under future climates: a guide
for decision-makers and modelers to interpret and design climate change impact
assessments, Wiley Interdisciplin. Rev.: Water, 2, 271–289, 2015. a
Schaefli, B. and Gupta, H. V.: Do Nash values have value?, Hydrol. Process.,
21, 2075–2080, 2007. a
Schmucki, E., Marty, C., Fierz, C., and Lehning, M.: Simulations of 21st century
snow response to climate change in Switzerland from a set of RCMs, Int. J.
Climatol., 35, 3262–3273, 2015a. a
Schmucki, E., Marty, C., Fierz, C., Weingartner, R., and Lehning, M.: Impact
of climate change in Switzerland on socioeconomic snow indices, Theor. Appl.
Climatol., 127, 875–889, 2015b. a
Seiser, B., Helfricht, K., Huss, M., Fischer, A., Veulliet, E., Schönlaub,
H., Kuhn, M., and Strasser, U.: MUSICALS – (MUltiscale Snow/ICemelt Discharge
Simulation into ALpine ReservoirS): Validation of a method to estimate ice
volume and ice thickness distribution in the Ötztal Alps, Tyrol, Austria,
Geophys. Res. Abstr., Vienna, Austria, 2012. a
Smiatek, G., Kunstmann, H., and Senatore, A.: EURO-CORDEX regional climate
model analysis for the Greater Alpine Region: Performance and expected future
change, J. Geophys. Res.-Atmos., 121, 7710–7728, 2016. a
Sonntag, D.: Important new values of the physical constants of 1986, vapour
pressure formulations based on the ITS-90, and psychrometer formulae, Z.
Meteorol., 70, 340–344, 1990. a
Steger, C., Kotlarski, S., Jonas, T., and Schär, C.: Alpine snow cover in
a changing climate: a regional climate model perspective, Clim. Dynam.,
41, 735–754, 2012. a
Stewart, I. T.: Changes in snowpack and snowmelt runoff for key mountain regions,
Hydrol. Process., 23, 78–94, 2009. a
Strasser, U.: Spatial and temporal variability of meteorological variables at
Haut Glacier d'Arolla (Switzerland) during the ablation season 2001: Measurements
and simulations, J. Geophys. Res., 109, D03103, https://doi.org/10.1029/2003JD003973, 2004. a
Strasser, U., Bernhardt, M., Weber, M., Liston, G. E., and Mauser, W.: Is snow
sublimation important in the alpine water balance?, The Cryosphere, 2, 53–66,
https://doi.org/10.5194/tc-2-53-2008, 2008. a
Strasser, U., Warscher, M., and Liston, G. E.: Modeling Snow-Canopy Processes
on an Idealized Mountain, J. Hydrometeorol., 12, 663–677, 2011. a
Tecklenburg, C., Francke, T., Kormann, C., and Bronstert, A.: Modeling of water
balance response to an extreme future scenario in the Ötztal catchment,
Austria, Adv. Geosci., 32, 63–68, 2012. a
Teutschbein, C. and Seibert, J.: Is bias correction of regional climate model (RCM)
simulations possible for non-stationary conditions?, Hydrol. Earth Syst. Sci.,
17, 5061–5077, https://doi.org/10.5194/hess-17-5061-2013, 2013. a, b
Themeßl, M. J., Gobiet, A., and Heinrich, G.: Empirical-statistical
downscaling and error correction of regional climate models and its impact on
the climate change signal, Climatic Change, 112, 449–468, 2011b. a
Thrasher, B., Maurer, E. P., McKellar, C., and Duffy, P. B.: Technical Note:
Bias correcting climate model simulated daily temperature extremes with quantile
mapping, Hydrol. Earth Syst. Sci., 16, 3309–3314, https://doi.org/10.5194/hess-16-3309-2012, 2012. a
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
Waichler, S. R. and Wigmosta, M. S.: Development of Hourly Meteorological
Values From Daily Data and Significance to Hydrological Modeling at H. J. Andrews
Experimental Forest, J. Hydrometeorol., 4, 251–263, 2003. a
Walter, M. T., Brooks, E. S., McCool, D. K., King, L. G., Molnau, M., and Boll,
J.: Process-based snowmelt modeling: does it require more input data than
temperature-index modeling?, J. Hydrol., 300, 65–75, 2005. a
Wijngaard, R. R., Helfricht, K., Schneeberger, K., Huttenlau, M., Schneider,
K., and Bierkens, M. F. P.: Hydrological response of the Ötztal glacierized
catchments to climate change, Nord. Hydrol., 47, 979–995, 2016. a
Yokoyama, R., Shirasawa, M., and Pike, R. J.: Visualizing topography by openness:
a new application of image processing to digital elevation models, Photogram.
Eng. Remote Sens., 68, 257–266, 2002. 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, 2014. a
Short summary
Climate change effects on snow, glaciers, and hydrology are investigated for the Ötztal Alps region (Austria) using a hydroclimatological model driven by climate projections for the RCP2.6, RCP4.5, and RCP8.5 scenarios. The results show declining snow amounts and strongly retreating glaciers with moderate effects on catchment runoff until the mid-21st century, whereas annual runoff volumes decrease strongly towards the end of the century.
Climate change effects on snow, glaciers, and hydrology are investigated for the Ötztal Alps...
