Articles | Volume 18, issue 11
https://doi.org/10.5194/tc-18-5383-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-18-5383-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
21 Nov 2024
Research article |
| 21 Nov 2024
| 21 Nov 2024
Unravelling the sources of uncertainty in glacier runoff projections in the Patagonian Andes (40–56° S)
Rodrigo Aguayo
CORRESPONDING AUTHOR
Centro EULA, Facultad de Ciencias Ambientales, Universidad de Concepción, Concepción, Chile
Department of Water and Climate, Vrije Universiteit Brussel, Brussels, Belgium
Fabien Maussion
Department of Atmospheric and Cryospheric Sciences (ACINN), Universität Innsbruck, Innsbruck, Austria
School of Geographical Sciences, University of Bristol, Bristol, UK
Lilian Schuster
Department of Atmospheric and Cryospheric Sciences (ACINN), Universität Innsbruck, Innsbruck, Austria
Marius Schaefer
Instituto de Ciencias Físicas y Matemáticas, Universidad Austral de Chile, Valdivia, Chile
Alexis Caro
Univ. Grenoble Alpes, CNRS, IRD, INRAE, Grenoble-INP, Institut des Géosciences de l'Environnement, Grenoble, France
Patrick Schmitt
Department of Atmospheric and Cryospheric Sciences (ACINN), Universität Innsbruck, Innsbruck, Austria
Jonathan Mackay
British Geological Survey, Keyworth, Nottingham, UK
School of Geography, Earth and Environmental Sciences, University of Birmingham, Edgbaston, Birmingham, UK
Lizz Ultee
Department of Earth & Climate Sciences, Middlebury College, Middlebury, USA
Jorge Leon-Muñoz
Departamento de Química Ambiental, Universidad Católica de la Santísima Concepción, Concepción, Chile
Centro Interdisciplinario para la Investigación Acuícola (INCAR), Concepción, Chile
Centro de Energía, Universidad Católica de la Santísima Concepción, Concepción, Chile
Mauricio Aguayo
Centro EULA, Facultad de Ciencias Ambientales, Universidad de Concepción, Concepción, Chile
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Lilian Schuster, Fabien Maussion, Lukas Langhamer, and Gina E. Moseley
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Precipitation and moisture sources over an arid region in northeast Greenland are investigated from 1979 to 2017 by a Lagrangian moisture source diagnostic driven by reanalysis data. Dominant winter moisture sources are the North Atlantic above 45° N. In summer local and north Eurasian continental sources dominate. In positive phases of the North Atlantic Oscillation, evaporation and moisture transport from the Norwegian Sea are stronger, resulting in more precipitation.
Marius Schaefer, Duilio Fonseca-Gallardo, David Farías-Barahona, and Gino Casassa
The Cryosphere, 14, 2545–2565, https://doi.org/10.5194/tc-14-2545-2020, https://doi.org/10.5194/tc-14-2545-2020, 2020
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Julia Eis, Fabien Maussion, and Ben Marzeion
The Cryosphere, 13, 3317–3335, https://doi.org/10.5194/tc-13-3317-2019, https://doi.org/10.5194/tc-13-3317-2019, 2019
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To provide estimates of past glacier mass changes, an adequate initial state is required. However, information about past glacier states at regional or global scales is largely incomplete. Our study presents a new way to initialize the Open Global Glacier Model from past climate information and present-day geometries. We show that even with perfectly known but incomplete boundary conditions, the problem of model initialization leads to nonunique solutions, and we propose an ensemble approach.
Beatriz Recinos, Fabien Maussion, Timo Rothenpieler, and Ben Marzeion
The Cryosphere, 13, 2657–2672, https://doi.org/10.5194/tc-13-2657-2019, https://doi.org/10.5194/tc-13-2657-2019, 2019
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We have implemented a frontal ablation parameterization into the Open Global Glacier Model and have shown that inversion methods based on mass conservation systematically underestimate the mass turnover (and therefore the thickness) of tidewater glaciers when neglecting frontal ablation. This underestimation can rise up to 19 % on a regional scale. Not accounting for frontal ablation will have an impact on the estimate of the glaciers’ potential contribution to sea level rise.
Johannes Horak, Marlis Hofer, Fabien Maussion, Ethan Gutmann, Alexander Gohm, and Mathias W. Rotach
Hydrol. Earth Syst. Sci., 23, 2715–2734, https://doi.org/10.5194/hess-23-2715-2019, https://doi.org/10.5194/hess-23-2715-2019, 2019
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This study presents an in-depth evaluation of the Intermediate Complexity Atmospheric Research (ICAR) model for high-resolution precipitation fields in complex topography. ICAR is evaluated with data from weather stations located in the Southern Alps of New Zealand. While ICAR underestimates rainfall amounts, it clearly improves over a coarser global model and shows potential to generate precipitation fields for long-term impact studies focused on the local impact of a changing global climate.
Jonathan D. Mackay, Nicholas E. Barrand, David M. Hannah, Stefan Krause, Christopher R. Jackson, Jez Everest, Guðfinna Aðalgeirsdóttir, and Andrew R. Black
Hydrol. Earth Syst. Sci., 23, 1833–1865, https://doi.org/10.5194/hess-23-1833-2019, https://doi.org/10.5194/hess-23-1833-2019, 2019
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We project 21st century change and uncertainty in 25 river flow regime metrics (signatures) for a deglaciating river basin. The results show that glacier-fed river flow magnitude, timing and variability are sensitive to climate change and that projection uncertainty stems from incomplete understanding of future climate and glacier-hydrology processes. These findings indicate how impact studies can be better designed to provide more robust projections of river flow regime in glaciated basins.
Fabien Maussion, Anton Butenko, Nicolas Champollion, Matthias Dusch, Julia Eis, Kévin Fourteau, Philipp Gregor, Alexander H. Jarosch, Johannes Landmann, Felix Oesterle, Beatriz Recinos, Timo Rothenpieler, Anouk Vlug, Christian T. Wild, and Ben Marzeion
Geosci. Model Dev., 12, 909–931, https://doi.org/10.5194/gmd-12-909-2019, https://doi.org/10.5194/gmd-12-909-2019, 2019
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Mountain glaciers are one of the few remaining subsystems of the global climate system for which no globally applicable community-driven model exists. Here we present the Open Global Glacier Model (OGGM; www.oggm.org), developed to provide a modular and open-source numerical model framework for simulating past and future change of any glacier in the world.
Tobias Zolles, Fabien Maussion, Stephan Peter Galos, Wolfgang Gurgiser, and Lindsey Nicholson
The Cryosphere, 13, 469–489, https://doi.org/10.5194/tc-13-469-2019, https://doi.org/10.5194/tc-13-469-2019, 2019
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A mass and energy balance model was subjected to sensitivity and uncertainty analysis on two different Alpine glaciers. The global sensitivity analysis allowed for a mass balance measurement independent assessment of the model sensitivity and functioned as a reduction of the model free parameter space. A novel approach of a multi-objective optimization estimates the uncertainty of the simulated mass balance and the energy fluxes. The final model uncertainty is up to 1300 kg m−3 per year.
Hugues Goosse, Pierre-Yves Barriat, Quentin Dalaiden, François Klein, Ben Marzeion, Fabien Maussion, Paolo Pelucchi, and Anouk Vlug
Clim. Past, 14, 1119–1133, https://doi.org/10.5194/cp-14-1119-2018, https://doi.org/10.5194/cp-14-1119-2018, 2018
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Glaciers provide iconic illustrations of past climate change, but records of glacier length fluctuations have not been used systematically to test the ability of models to reproduce past changes. One reason is that glacier length depends on several complex factors and so cannot be simply linked to the climate simulated by models. This is done here, and it is shown that the observed glacier length fluctuations are generally well within the range of the simulations.
Jonathan D. Mackay, Nicholas E. Barrand, David M. Hannah, Stefan Krause, Christopher R. Jackson, Jez Everest, and Guðfinna Aðalgeirsdóttir
The Cryosphere, 12, 2175–2210, https://doi.org/10.5194/tc-12-2175-2018, https://doi.org/10.5194/tc-12-2175-2018, 2018
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We apply a framework to compare and objectively accept or reject competing melt and run-off process models. We found no acceptable models. Furthermore, increasing model complexity does not guarantee better predictions. The results highlight model selection uncertainty and the need for rigorous frameworks to identify deficiencies in competing models. The application of this approach in the future will help to better quantify model prediction uncertainty and develop improved process models.
Ulrich Strasser, Thomas Marke, Ludwig Braun, Heidi Escher-Vetter, Irmgard Juen, Michael Kuhn, Fabien Maussion, Christoph Mayer, Lindsey Nicholson, Klaus Niedertscheider, Rudolf Sailer, Johann Stötter, Markus Weber, and Georg Kaser
Earth Syst. Sci. Data, 10, 151–171, https://doi.org/10.5194/essd-10-151-2018, https://doi.org/10.5194/essd-10-151-2018, 2018
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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.
Alejandra Stehr and Mauricio Aguayo
Hydrol. Earth Syst. Sci., 21, 5111–5126, https://doi.org/10.5194/hess-21-5111-2017, https://doi.org/10.5194/hess-21-5111-2017, 2017
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In Chile there is a lack of hydrological data, which complicates the analysis of important hydrological processes. In this study we validate a remote sensing product, i.e. the MODIS snow product, in Chile using ground observations, obtaining good results. Then MODIS was use to evaluated snow cover dynamic during 2000–2016 at five watersheds in Chile. The analysis shows that there is a significant reduction in snow cover area in two watersheds located in the northern part of the study area.
Stephan Peter Galos, Christoph Klug, Fabien Maussion, Federico Covi, Lindsey Nicholson, Lorenzo Rieg, Wolfgang Gurgiser, Thomas Mölg, and Georg Kaser
The Cryosphere, 11, 1417–1439, https://doi.org/10.5194/tc-11-1417-2017, https://doi.org/10.5194/tc-11-1417-2017, 2017
Daniel Farinotti, Douglas J. Brinkerhoff, Garry K. C. Clarke, Johannes J. Fürst, Holger Frey, Prateek Gantayat, Fabien Gillet-Chaulet, Claire Girard, Matthias Huss, Paul W. Leclercq, Andreas Linsbauer, Horst Machguth, Carlos Martin, Fabien Maussion, Mathieu Morlighem, Cyrille Mosbeux, Ankur Pandit, Andrea Portmann, Antoine Rabatel, RAAJ Ramsankaran, Thomas J. Reerink, Olivier Sanchez, Peter A. Stentoft, Sangita Singh Kumari, Ward J. J. van Pelt, Brian Anderson, Toby Benham, Daniel Binder, Julian A. Dowdeswell, Andrea Fischer, Kay Helfricht, Stanislav Kutuzov, Ivan Lavrentiev, Robert McNabb, G. Hilmar Gudmundsson, Huilin Li, and Liss M. Andreassen
The Cryosphere, 11, 949–970, https://doi.org/10.5194/tc-11-949-2017, https://doi.org/10.5194/tc-11-949-2017, 2017
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ITMIX – the Ice Thickness Models Intercomparison eXperiment – was the first coordinated performance assessment for models inferring glacier ice thickness from surface characteristics. Considering 17 different models and 21 different test cases, we show that although solutions of individual models can differ considerably, an ensemble average can yield uncertainties in the order of 10 ± 24 % the mean ice thickness. Ways forward for improving such estimates are sketched.
N. A. L. Archer, B. R. Rawlins, B. P. Machant, J. D. Mackay, and P. I. Meldrum
SOIL Discuss., https://doi.org/10.5194/soil-2016-40, https://doi.org/10.5194/soil-2016-40, 2016
Preprint withdrawn
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This study investigates the importance of using techniques, such as soil water release curves, soil shrinkage measurements and field observations to create reference points to determine the best-fit calibrations for estimating volumetric water content (VWC). We also show that calibrating soil moisture sensors in disturbed clay soils over-estimates VWC and we suggest that undisturbed soil cores provide better calibrations to estimate VWC in clay soils.
S. Biskop, F. Maussion, P. Krause, and M. Fink
Hydrol. Earth Syst. Sci., 20, 209–225, https://doi.org/10.5194/hess-20-209-2016, https://doi.org/10.5194/hess-20-209-2016, 2016
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In this study, the hydrological model J2000g was extended and applied to four selected endorheic lake basins in the southern-central part of the TP aiming to provide a more quantitative understanding of the key factors controlling their water balance. The model results indicated that the relative contribution of glacier runoff to total water inflow (between 14 and 30 %) plays a less important role compared to runoff generation from rainfall and snowmelt in non-glacierized land areas.
F. Maussion, W. Gurgiser, M. Großhauser, G. Kaser, and B. Marzeion
The Cryosphere, 9, 1663–1683, https://doi.org/10.5194/tc-9-1663-2015, https://doi.org/10.5194/tc-9-1663-2015, 2015
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Using a newly developed open-source tool, we downscale the glacier surface energy and mass balance fluxes at Shallap Glacier. This allows an unprecedented quantification of the ENSO influence on a tropical glacier at climatological time scales (1980-2013). We find a stronger and steadier anti-correlation between Pacific sea-surface temperature (SST) and glacier mass balance than previously reported and provide keys to understand its mechanism.
E. Collier, F. Maussion, L. I. Nicholson, T. Mölg, W. W. Immerzeel, and A. B. G. Bush
The Cryosphere, 9, 1617–1632, https://doi.org/10.5194/tc-9-1617-2015, https://doi.org/10.5194/tc-9-1617-2015, 2015
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We investigate the impact of surface debris on glacier energy and mass fluxes and on atmosphere-glacier feedbacks in the Karakoram range, by including debris in an interactively coupled atmosphere-glacier model. The model is run from 1 May to 1 October 2004, with a simple specification of debris thickness. We find an appreciable reduction in ablation that exceeds 5m w.e. on glacier tongues, as well as significant alterations to near-surface air temperatures and boundary layer dynamics.
J. Curio, F. Maussion, and D. Scherer
Earth Syst. Dynam., 6, 109–124, https://doi.org/10.5194/esd-6-109-2015, https://doi.org/10.5194/esd-6-109-2015, 2015
M. Schaefer, H. Machguth, M. Falvey, G. Casassa, and E. Rignot
The Cryosphere, 9, 25–35, https://doi.org/10.5194/tc-9-25-2015, https://doi.org/10.5194/tc-9-25-2015, 2015
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We use a meteorological-glaciological multi-model approach to quantify, for the first time, melt and accumulation of snow on the Southern Patagonia Icefield (SPI). We were able to reproduce the high measured accumulation of snow of up to 15.4 m water equivalent per year as well as the high measured ablation of up to 11 m water equivalent per year. Mass losses of the SPI due to calving of icebergs strongly increased from 1975-2000 to 2000-2011 and were higher than losses due to surface melt.
E. Collier, L. I. Nicholson, B. W. Brock, F. Maussion, R. Essery, and A. B. G. Bush
The Cryosphere, 8, 1429–1444, https://doi.org/10.5194/tc-8-1429-2014, https://doi.org/10.5194/tc-8-1429-2014, 2014
E. Dietze, F. Maussion, M. Ahlborn, B. Diekmann, K. Hartmann, K. Henkel, T. Kasper, G. Lockot, S. Opitz, and T. Haberzettl
Clim. Past, 10, 91–106, https://doi.org/10.5194/cp-10-91-2014, https://doi.org/10.5194/cp-10-91-2014, 2014
E. Collier, T. Mölg, F. Maussion, D. Scherer, C. Mayer, and A. B. G. Bush
The Cryosphere, 7, 779–795, https://doi.org/10.5194/tc-7-779-2013, https://doi.org/10.5194/tc-7-779-2013, 2013
Related subject area
Discipline: Glaciers | Subject: Climate Interactions
Arctic glacier snowline altitudes rise 150 m over the last 4 decades
Triggers of the 2022 Larsen B multi-year landfast sea ice breakout and initial glacier response
Climatic control of the surface mass balance of the Patagonian Icefields
On the attribution of industrial-era glacier mass loss to anthropogenic climate change
Distributed summer air temperatures across mountain glaciers in the south-east Tibetan Plateau: temperature sensitivity and comparison with existing glacier datasets
Glacier runoff variations since 1955 in the Maipo River basin, in the semiarid Andes of central Chile
Impact of warming shelf waters on ice mélange and terminus retreat at a large SE Greenland glacier
A long-term dataset of climatic mass balance, snow conditions, and runoff in Svalbard (1957–2018)
Laura J. Larocca, James M. Lea, Michael P. Erb, Nicholas P. McKay, Megan Phillips, Kara A. Lamantia, and Darrell S. Kaufman
The Cryosphere, 18, 3591–3611, https://doi.org/10.5194/tc-18-3591-2024, https://doi.org/10.5194/tc-18-3591-2024, 2024
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Here we present summer snowline altitude (SLA) time series for 269 Arctic glaciers. Between 1984 and 2022, SLAs rose ∼ 150 m, equating to a ∼ 127 m shift per 1 °C of summer warming. SLA is most strongly correlated with annual temperature variables, highlighting their dual effect on ablation and accumulation processes. We show that SLAs are rising fastest on low-elevation glaciers and that > 50 % of the studied glaciers could have SLAs that exceed the maximum ice elevation by 2100.
Naomi E. Ochwat, Ted A. Scambos, Alison F. Banwell, Robert S. Anderson, Michelle L. Maclennan, Ghislain Picard, Julia A. Shates, Sebastian Marinsek, Liliana Margonari, Martin Truffer, and Erin C. Pettit
The Cryosphere, 18, 1709–1731, https://doi.org/10.5194/tc-18-1709-2024, https://doi.org/10.5194/tc-18-1709-2024, 2024
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On the Antarctic Peninsula, there is a small bay that had sea ice fastened to the shoreline (
fast ice) for over a decade. The fast ice stabilized the glaciers that fed into the ocean. In January 2022, the fast ice broke away. Using satellite data we found that this was because of low sea ice concentrations and a high long-period ocean wave swell. We find that the glaciers have responded to this event by thinning, speeding up, and retreating by breaking off lots of icebergs at remarkable rates.
Tomás Carrasco-Escaff, Maisa Rojas, René Darío Garreaud, Deniz Bozkurt, and Marius Schaefer
The Cryosphere, 17, 1127–1149, https://doi.org/10.5194/tc-17-1127-2023, https://doi.org/10.5194/tc-17-1127-2023, 2023
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In this study, we investigate the interplay between climate and the Patagonian Icefields. By modeling the glacioclimatic conditions of the southern Andes, we found that the annual variations in net surface mass change experienced by these icefields are mainly controlled by annual variations in the air pressure field observed near the Drake Passage. Little dependence on main modes of variability was found, suggesting the Drake Passage as a key region for understanding the Patagonian Icefields.
Gerard H. Roe, John Erich Christian, and Ben Marzeion
The Cryosphere, 15, 1889–1905, https://doi.org/10.5194/tc-15-1889-2021, https://doi.org/10.5194/tc-15-1889-2021, 2021
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The worldwide retreat of mountain glaciers and consequent loss of ice mass is one of the most obvious signs of a changing climate and has significant implications for the hydrology and natural hazards in mountain landscapes. Consistent with our understanding of the human role in temperature change, we demonstrate that the central estimate of the size of the human-caused mass loss is essentially 100 % of the observed loss. This assessment resolves some important inconsistencies in the literature.
Thomas E. Shaw, Wei Yang, Álvaro Ayala, Claudio Bravo, Chuanxi Zhao, and Francesca Pellicciotti
The Cryosphere, 15, 595–614, https://doi.org/10.5194/tc-15-595-2021, https://doi.org/10.5194/tc-15-595-2021, 2021
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Near surface air temperature (Ta) is important for simulating the melting of glaciers, though its variability in space and time on mountain glaciers is still poorly understood. We combine new Ta observations on glacier in Tibet with several glacier datasets around the world to explore the applicability of an existing method to estimate glacier Ta based upon glacier flow distance. We make a first step at generalising a method and highlight the remaining unknowns for this field of research.
Álvaro Ayala, David Farías-Barahona, Matthias Huss, Francesca Pellicciotti, James McPhee, and Daniel Farinotti
The Cryosphere, 14, 2005–2027, https://doi.org/10.5194/tc-14-2005-2020, https://doi.org/10.5194/tc-14-2005-2020, 2020
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We reconstruct past glacier changes (1955–2016) and estimate the committed ice loss in the Maipo River basin (semi-arid Andes of Chile), with a focus on glacier runoff. We found that glacier volume has decreased by one-fifth since 1955 and that glacier runoff shows a sequence of decreasing maxima starting in a severe drought in 1968. As meltwater originating from the Andes plays a key role in this dry region, our results can be useful for developing adaptation or mitigation strategies.
Suzanne L. Bevan, Adrian J. Luckman, Douglas I. Benn, Tom Cowton, and Joe Todd
The Cryosphere, 13, 2303–2315, https://doi.org/10.5194/tc-13-2303-2019, https://doi.org/10.5194/tc-13-2303-2019, 2019
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Kangerlussuaq Glacier in Greenland retreated significantly in the early 2000s and typified the response of calving glaciers to climate change. Satellite images show that it has recently retreated even further. The current retreat follows the appearance of extremely warm surface waters on the continental shelf during the summer of 2016, which likely entered the fjord and caused the rigid mass of sea ice and icebergs, which normally inhibits calving, to melt and break up.
Ward van Pelt, Veijo Pohjola, Rickard Pettersson, Sergey Marchenko, Jack Kohler, Bartłomiej Luks, Jon Ove Hagen, Thomas V. Schuler, Thorben Dunse, Brice Noël, and Carleen Reijmer
The Cryosphere, 13, 2259–2280, https://doi.org/10.5194/tc-13-2259-2019, https://doi.org/10.5194/tc-13-2259-2019, 2019
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The climate in Svalbard is undergoing amplified change compared to the global mean, which has a strong impact on the climatic mass balance of glaciers and the state of seasonal snow in land areas. In this study we analyze a coupled energy balance–subsurface model dataset, which provides detailed information on distributed climatic mass balance, snow conditions, and runoff across Svalbard between 1957 and 2018.
Cited articles
Aguayo, R.: rodaguayo/Glacier_Uncertainties: v1.0.1 (v1.0.1), Zenodo [software], https://doi.org/10.5281/zenodo.14177951, 2024.
Aguayo, R., León-Muñoz, J., Aguayo, M., Baez-Villanueva, O., Zambrano-Bigiarini, M., Fernández, A., and Jacques-Coper, M.: PatagoniaMet: A multi-source hydrometeorological dataset for Western Patagonia (v1.0), Zenodo [data set], https://doi.org/10.5281/zenodo.7992761, 2023.
Aguayo, R., León-Muñoz, J., Aguayo, M., Baez-Villanueva, O. M., Zambrano-Bigiarini, M., Fernández, A., and Jacques-Coper, M.: PatagoniaMet: A multi-source hydrometeorological dataset for Western Patagonia, Sci. Data, 11, 6, https://doi.org/10.1038/s41597-023-02828-2, 2024a.
Aguayo, R., Maussion, F., Schuster, L., Schaefer, M., Caro, A., Schmitt, P., Mackay, J., Ultee, L., Leon-Muñoz, J., and Aguayo, M.: Glacier runoff projections and their multiple sources of uncertainty in the Patagonian Andes (40–56° S), v1.1, Zenodo [data set], https://doi.org/10.5281/zenodo.11353065, 2024b.
Ayala, Á., Farías-Barahona, D., Huss, M., Pellicciotti, F., McPhee, J., and Farinotti, D.: Glacier runoff variations since 1955 in the Maipo River basin, in the semiarid Andes of central Chile, The Cryosphere, 14, 2005–2027, https://doi.org/10.5194/tc-14-2005-2020, 2020.
Banihirwe, A., Long, M., Grover, M., bonnland, Kent, J., Bourgault, P., Squire, D., Busecke, J., Spring, A., Schulz, H., Paul, K., RondeauG, and Kölling, T.: intake/intake-esm: v2023.11.10, Zenodo [software], https://doi.org/10.5281/zenodo.10103723, 2023.
Barcaza, G., Nussbaumer, S. U., Tapia, G., Valdés, J., García, J.-L., Videla, Y., Albornoz, A., and Arias, V.: Glacier inventory and recent glacier variations in the Andes of Chile, South America, Ann. Glaciol., 58, 166–180, https://doi.org/10.1017/aog.2017.28, 2017.
Beck, H. E., Wood, E. F., Pan, M., Fisher, C. K., Miralles, D. G., van Dijk, A. I. J. M., McVicar, T. R., and Adler, R. F.: MSWEP V2 Global 3-Hourly 0.1° Precipitation: Methodology and Quantitative Assessment, B. Am. Meteorol. Soc., 100, 473–500, https://doi.org/10.1175/BAMS-D-17-0138.1, 2019 (data available at: https://www.gloh2o.org/mswep/, last access: 20 November 2024).
Beck, H. E., Wood, E. F., McVicar, T. R., Zambrano-Bigiarini, M., Alvarez-Garreton, C., Baez-Villanueva, O. M., Sheffield, J., and Karger, D. N.: Bias correction of global high-resolution precipitation climatologies using streamflow observations from 9372 catchments, J. Climate, 33, 1299–1315, https://doi.org/10.1175/JCLI-D-19-0332.1, 2020.
Beck, H. E., van Dijk, A. I. J. M., Larraondo, P. R., McVicar, T. R., Pan, M., Dutra, E., and Miralles, D. G.: MSWX: Global 3-Hourly 0.1° Bias-Corrected Meteorological Data Including Near-Real-Time Updates and Forecast Ensembles, B. Am. Meteorol. Soc., 103, E710–E732, https://doi.org/10.1175/BAMS-D-21-0145.1, 2022.
Bennett, K. E., Miller, G., Busey, R., Chen, M., Lathrop, E. R., Dann, J. B., Nutt, M., Crumley, R., Dillard, S. L., Dafflon, B., Kumar, J., Bolton, W. R., Wilson, C. J., Iversen, C. M., and Wullschleger, S. D.: Spatial patterns of snow distribution in the sub-Arctic, The Cryosphere, 16, 3269–3293, https://doi.org/10.5194/tc-16-3269-2022, 2022.
Boisier, J. P.: CR2MET: A high-resolution precipitation and temperature dataset for the period 1960–2021 in continental Chile, (v2.5), Zenodo [data set], https://doi.org/10.5281/zenodo.7529682, 2023.
Braun, M. H., Malz, P., Sommer, C., Farías-Barahona, D., Sauter, T., Casassa, G., Soruco, A., Skvarca, P., and Seehaus, T. C.: Constraining glacier elevation and mass changes in South America, Nat. Clim. Change, 9, 130–136, https://doi.org/10.1038/s41558-018-0375-7, 2019.
Bravo, C., Quincey, D. J., Ross, A. N., Rivera, A., Brock, B., Miles, E., and Silva, A.: Air Temperature Characteristics, Distribution, and Impact on Modeled Ablation for the South Patagonia Icefield, J. Geophys. Res.-Atmos., 124, 907–925, https://doi.org/10.1029/2018JD028857, 2019a.
Bravo, C., Bozkurt, D., Gonzalez-Reyes, Á., Quincey, D. J., Ross, A. N., Farías-Barahona, D., and Rojas, M.: Assessing Snow Accumulation Patterns and Changes on the Patagonian Icefields, Frontiers in Environmental Science, 7, 1–18, https://doi.org/10.3389/fenvs.2019.00030, 2019b.
Breiman, L.: Random Forests, Mach. Learn., 45, 5–32, https://doi.org/10.1023/A:1010933404324, 2001.
Cannon, A. J.: Multivariate quantile mapping bias correction: an N-dimensional probability density function transform for climate model simulations of multiple variables, Clim. Dynam., 50, 31–49, https://doi.org/10.1007/s00382-017-3580-6, 2018.
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.
Caro, A., Condom, T., and Rabatel, A.: Climatic and Morphometric Explanatory Variables of Glacier Changes in the Andes (8–55° S): New Insights From Machine Learning Approaches, Front. Earth Sci., 9, 713011, https://doi.org/10.3389/feart.2021.713011, 2021.
Caro, A., Condom, T., Rabatel, A., Champollion, N., García, N., and Saavedra, F.: Hydrological response of Andean catchments to recent glacier mass loss, The Cryosphere, 18, 2487–2507, https://doi.org/10.5194/tc-18-2487-2024, 2024.
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.
Chen, J., Brissette, F. P., and Leconte, R.: Uncertainty of downscaling method in quantifying the impact of climate change on hydrology, J. Hydrol., 401, 190–202, https://doi.org/10.1016/j.jhydrol.2011.02.020, 2011.
Compagno, L., Zekollari, H., Huss, M., and Farinotti, D.: Limited impact of climate forcing products on future glacier evolution in Scandinavia and Iceland, J. Glaciol., 67, 727–743, https://doi.org/10.1017/jog.2021.24, 2021.
Condom, T., Martínez, R., Pabón, J. D., Costa, F., Pineda, L., Nieto, J. J., López, F., and Villacis, M.: Climatological and Hydrological Observations for the South American Andes: In situ Stations, Satellite, and Reanalysis Data Sets, Front. Earth Sci., 8, 1–20, https://doi.org/10.3389/feart.2020.00092, 2020.
Davies, B. J. and Glasser, N. F.: Accelerating shrinkage of Patagonian glaciers from the Little Ice Age (∼ AD 1870) to 2011, J. Glaciol., 58, 1063–1084, https://doi.org/10.3189/2012JoG12J026, 2012.
Drenkhan, F., Buytaert, W., Mackay, J. D., Barrand, N. E., Hannah, D. M., and Huggel, C.: Looking beyond glaciers to understand mountain water security, Nat. Sustain., 6, 130–138, https://doi.org/10.1038/s41893-022-00996-4, 2022.
Dussaillant, I., Berthier, E., Brun, F., Masiokas, M., Hugonnet, R., Favier, V., Rabatel, A., Pitte, P., and Ruiz, L.: Two decades of glacier mass loss along the Andes, Nat. Geosci., 12, 802–808, https://doi.org/10.1038/s41561-019-0432-5, 2019.
Eyring, V., Bony, S., Meehl, G. A., Senior, C. A., Stevens, B., Stouffer, R. J., and Taylor, K. E.: Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization, Geosci. Model Dev., 9, 1937–1958, https://doi.org/10.5194/gmd-9-1937-2016, 2016.
Farinotti, D.: A consensus estimate for the ice thickness distribution of all glaciers on Earth – dataset, ETH Zürich [data set], https://doi.org/10.3929/ethz-b-000315707, 2019.
Farinotti, D., Huss, M., Bauder, A., Funk, M., and Truffer, M.: A method to estimate the ice volume and ice-thickness distribution of alpine glaciers, J. Glaciol., 55, 422–430, https://doi.org/10.3189/002214309788816759, 2009.
Farinotti, D., Huss, M., Fürst, J. J., Landmann, J., Machguth, H., Maussion, F., and Pandit, A.: A consensus estimate for the ice thickness distribution of all glaciers on Earth, Nat. Geosci., 12, 168–173, https://doi.org/10.1038/s41561-019-0300-3, 2019.
Gabbi, J., Farinotti, D., Bauder, A., and Maurer, H.: Ice volume distribution and implications on runoff projections in a glacierized catchment, Hydrol. Earth Syst. Sci., 16, 4543–4556, https://doi.org/10.5194/hess-16-4543-2012, 2012.
Garreaud, R. D., Alvarez-Garreton, C., Barichivich, J., Boisier, J. P., Christie, D., Galleguillos, M., LeQuesne, C., McPhee, J., and Zambrano-Bigiarini, M.: The 2010–2015 megadrought in central Chile: impacts on regional hydroclimate and vegetation, Hydrol. Earth Syst. Sci., 21, 6307–6327, https://doi.org/10.5194/hess-21-6307-2017, 2017.
Gateño, F., Mendoza, P. A., Vásquez, N., Lagos-Zúñiga, M., Jiménez, H., Jerez, C., Vargas, X., Rubio-Álvarez, E., and Montserrat, S.: Screening CMIP6 models for Chile based on past performance and code genealogy, Climatic Change, 177, 87, https://doi.org/10.1007/s10584-024-03742-1, 2024.
Hanus, S., Schuster, L., Burek, P., Maussion, F., Wada, Y., and Viviroli, D.: Coupling a large-scale glacier and hydrological model (OGGM v1.5.3 and CWatM V1.08) – towards an improved representation of mountain water resources in global assessments, Geosci. Model Dev., 17, 5123–5144, https://doi.org/10.5194/gmd-17-5123-2024, 2024.
Hausfather, Z., Marvel, K., Schmidt, G. A., Nielsen-Gammon, J. W., and Zelinka, M.: Climate simulations: recognize the `hot model' problem, Nature, 605, 26–29, https://doi.org/10.1038/d41586-022-01192-2, 2022.
Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., Muñoz-Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D., Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P., Biavati, G., Bidlot, J., Bonavita, M., De Chiara, G., Dahlgren, P., Dee, D., Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer, A., Haimberger, L., Healy, S., Hogan, R. J., Hólm, E., Janisková, M., Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., de Rosnay, P., Rozum, I., Vamborg, F., Villaume, S., and Thépaut, J.-N.: The ERA5 global reanalysis, Q. J. Roy. Meteor. Soc., 146, 1999–2049, https://doi.org/10.1002/qj.3803, 2020.
Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., and Thépaut, J.-N.: ERA5 monthly averaged data on single levels from 1940 to present, Copernicus Climate Change Service (C3S) Climate Data Store (CDS) [data set], https://doi.org/10.24381/cds.f17050d7, 2023.
Hock, R., Maussion, F., Marzeion, B., and Nowicki, S.: What is the global glacier ice volume outside the ice sheets?, J. Glaciol., 69, 204–210, https://doi.org/10.1017/jog.2023.1, 2023.
Hugonnet, R., McNabb, R., Berthier, E., Menounos, B., Nuth, C., Girod, L., Farinotti, D., Huss, M., Dussaillant, I., Brun, F., and Kääb, A.: Accelerated global glacier mass loss in the early twenty-first century, Nature, 592, 726–731, https://doi.org/10.1038/s41586-021-03436-z, 2021.
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.
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.
Huss, M., Zemp, M., Joerg, P. C., and Salzmann, N.: High uncertainty in 21st century runoff projections from glacierized basins, J. Hydrol., 510, 35–48, https://doi.org/10.1016/j.jhydrol.2013.12.017, 2014.
Huss, M., Bookhagen, B., Huggel, C., Jacobsen, D., Bradley, R. S., Clague, J. j., Vuille, M., Buytaert, W., Cayan, D. R., Greenwood, G., Mark, B. G., Milner, A. M., Weingartner, R., and Winder, M.: Toward mountains without permanent snow and ice, Earths Future, 5, 418–435, https://doi.org/10.1002/2016EF000514, 2017.
Immerzeel, W. W., Lutz, A. F., Andrade, M., Bahl, A., Biemans, H., Bolch, T., Hyde, S., Brumby, S., Davies, B. J., Elmore, A. C., Emmer, A., Feng, M., Fernández, A., Haritashya, U., Kargel, J. S., Koppes, M., Kraaijenbrink, P. D. A., Kulkarni, A. V., Mayewski, P. A., Nepal, S., Pacheco, P., Painter, T. H., Pellicciotti, F., Rajaram, H., Rupper, S., Sinisalo, A., Shrestha, A. B., Viviroli, D., Wada, Y., Xiao, C., Yao, T., and Baillie, J. E. M.: Importance and vulnerability of the world's water towers, Nature, 577, 364–369, https://doi.org/10.1038/s41586-019-1822-y, 2020.
Intergovernmental Panel on Climate Change (IPCC): High Mountain Areas, in: The Ocean and Cryosphere in a Changing Climate: Special Report of the Intergovernmental Panel on Climate Change, Cambridge University Press, 2022, 131–202, 2022.
Iriarte, J. L., Pantoja, S., and Daneri, G.: Oceanographic Processes in Chilean Fjords of Patagonia: From small to large-scale studies, Prog. Oceanogr., 129, 1–7, https://doi.org/10.1016/j.pocean.2014.10.004, 2014.
Iturbide, M., Fernández, J., Gutiérrez, J. M., Bedia, J., Cimadevilla, E., Díez-Sierra, J., Manzanas, R., Casanueva, A., Baño-Medina, J., Milovac, J., Herrera, S., Cofiño, A. S., San Martín, D., García-Díez, M., Hauser, M., Huard, D., and Yelekci, Ö.: Repository supporting the implementation of FAIR principles in the IPCC-WGI Atlas, Zenodo [data set], https://doi.org/10.5281/ZENODO.3691645, 2021.
Kaser, G., Großhauser, M., and Marzeion, B.: Contribution potential of glaciers to water availability in different climate regimes, P. Natl. Acad. Sci. USA, 107, 20223–20227, https://doi.org/10.1073/pnas.1008162107, 2010.
Lange, S.: ISIMIP3 bias adjustment fact sheet, https://www.isimip.org/documents/413/ISIMIP3b_bias_adjustment_fact_sheet_Gnsz7CO.pdf (last access: 18 November 2024), 2021.
Li, F., Maussion, F., Wu, G., Chen, W., Yu, Z., Li, Y., and Liu, G.: Influence of glacier inventories on ice thickness estimates and future glacier change projections in the Tian Shan range, Central Asia, J. Glaciol., 69, 266–280, https://doi.org/10.1017/jog.2022.60, 2022.
Logan, T., Aoun, A., Bourgault, P., Dupuis, É., Huard, D., Lavoie, J., Rondeau-Genesse, G., Smith, T. J., Alegre, R., Barnes, C., Biner, S., Caron, D., Ehbrecht, C., Fyke, J., Keel, T., Labonté, M.-P., Lierhammer, L., Low, J.-F., Quinn, J., Roy, P., Squire, D., Stephens, A., Tanguy, M., and Whelan, C.: Ouranosinc/xclim: v0.39.0, Zenodo [code], https://doi.org/10.5281/zenodo.7274811, 2022.
Mackay, J. D., Barrand, N. E., Hannah, D. M., Krause, S., Jackson, C. R., Everest, J., Aðalgeirsdóttir, G., and Black, A. R.: Future evolution and uncertainty of river flow regime change in a deglaciating river basin, Hydrol. Earth Syst. Sci., 23, 1833–1865, https://doi.org/10.5194/hess-23-1833-2019, 2019.
Malles, J., Maussion, F., Ultee, L., Kochtitzky, W., Copland, L., and Marzeion, B.: Exploring the impact of a frontal ablation parameterization on projected 21st-century mass change for Northern Hemisphere glaciers, J. Glaciol., 69, 1317–1332, https://doi.org/10.1017/jog.2023.19, 2023.
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.
Marzeion, B., Hock, R., Anderson, B., Bliss, A., Champollion, N., Fujita, K., Huss, M., Immerzeel, W. W., Kraaijenbrink, P., Malles, J., Maussion, F., Radić, V., Rounce, D. R., Sakai, A., Shannon, S., van de Wal, R., and Zekollari, H.: Partitioning the Uncertainty of Ensemble Projections of Global Glacier Mass Change, Earth's Future. 8, e2019EF001470, https://doi.org/10.1029/2019EF001470, 2020.
Masiokas, M., Rabatel, A., Rivera, A., Ruiz, L., Pitte, P., Ceballos, J. L., Barcaza, G., Soruco, A., and Bown, F.: A review of the current state and recent changes of the Andean cryosphere, Front. Earth Sci., 8, 99, https://doi.org/10.3389/FEART.2020.00099, 2020.
Masiokas, M. H., Cara, L., Villalba, R., Pitte, P., Luckman, B. H., Toum, E., Christie, D. A., Le Quesne, C., and Mauget, S.: Streamflow variations across the Andes (18°–55° S) during the instrumental era, Sci. Rep.-UK, 9, 17879, https://doi.org/10.1038/s41598-019-53981-x, 2019.
Maussion, F., Butenko, A., Champollion, N., Dusch, M., Eis, J., Fourteau, K., Gregor, P., Jarosch, A. H., Landmann, J., Oesterle, F., Recinos, B., Rothenpieler, T., Vlug, A., Wild, C. T., and Marzeion, B.: The Open Global Glacier Model (OGGM) v1.1, Geosci. Model Dev., 12, 909–931, https://doi.org/10.5194/gmd-12-909-2019, 2019.
McCarthy, M., Meier, F., Fatichi, S., Stocker, B. D., Shaw, T. E., Miles, E., Dussaillant, I., and Pellicciotti, F.: Glacier Contributions to River Discharge During the Current Chilean Megadrought, Earths Future, 10, e2022EF002852, https://doi.org/10.1029/2022EF002852, 2022.
McMillan, H. K.: A review of hydrologic signatures and their applications, WIREs Water, 8, e1499, https://doi.org/10.1002/wat2.1499, 2021.
Mernild, S. H., Liston, G. E., Hiemstra, C., and Wilson, R.: The Andes Cordillera. Part III: glacier surface mass balance and contribution to sea level rise (1979–2014), Int. J. Climatol., 37, 3154–3174, https://doi.org/10.1002/joc.4907, 2017.
Millan, R., Rignot, E., Rivera, A., Martineau, V., Mouginot, J., Zamora, R., Uribe, J., Lenzano, G., De Fleurian, B., Li, X., Gim, Y., and Kirchner, D.: Ice Thickness and Bed Elevation of the Northern and Southern Patagonian Icefields, Geophys. Res. Lett., 46, 6626–6635, https://doi.org/10.1029/2019GL082485, 2019.
Millan, R., Mouginot, J., and Rabatel, A.: Global mapping of surface ice flow velocity and ice thickness of glaciers around the world from Millan et al. (2022), Theia [data set], https://doi.org/10.6096/1007, 2021.
Millan, R., Mouginot, J., Rabatel, A., and Morlighem, M.: Ice velocity and thickness of the world's glaciers, Nat. Geosci., 15, 124–129, https://doi.org/10.1038/s41561-021-00885-z, 2022.
Milner, A. M., Khamis, K., Battin, T. J., Brittain, J. E., Barrand, N. E., Füreder, L., Cauvy-Fraunié, S., Gíslason, G. M., Jacobsen, D., Hannah, D. M., Hodson, A. J., Hood, E., Lencioni, V., Ólafsson, J. S., Robinson, C. T., Tranter, M., and Brown, L. E.: Glacier shrinkage driving global changes in downstream systems, P. Natl. Acad. Sci. USA, 114, 9770–9778, https://doi.org/10.1073/pnas.1619807114, 2017.
Minowa, M., Schaefer, M., Sugiyama, S., Sakakibara, D., and Skvarca, P.: Frontal ablation and mass loss of the Patagonian icefields, Earth Planet. Sc. Lett., 561, 116811, https://doi.org/10.1016/j.epsl.2021.116811, 2021.
Morales, M. S., Cook, E. R., Barichivich, J., Christie, D. A., Villalba, R., LeQuesne, C., Srur, A. M., Ferrero, M. E., González-Reyes, Á., Couvreux, F., Matskovsky, V., Aravena, J. C., Lara, A., Mundo, I. A., Rojas, F., Prieto, M. R., Smerdon, J. E., Bianchi, L. O., Masiokas, M. H., Urrutia-Jalabert, R., Rodriguez-Catón, M., Muñoz, A. A., Rojas-Badilla, M., Alvarez, C., Lopez, L., Luckman, B. H., Lister, D., Harris, I., Jones, P. D., Williams, A. P., Velazquez, G., Aliste, D., Aguilera-Betti, I., Marcotti, E., Flores, F., Muñoz, T., Cuq, E., and Boninsegna, J. A.: Six hundred years of South American tree rings reveal an increase in severe hydroclimatic events since mid-20th century, P. Natl. Acad. Sci. USA, 117, 16816–16823, https://doi.org/10.1073/pnas.2002411117, 2020.
NASA JPL: NASADEM Merged DEM Global 1 arc second V001, NASA EOSDIS Land Processes Distributed Active Archive Center [data set], https://doi.org/10.5067/MEaSUREs/NASADEM/NASADEM_HGT.001, 2020.
O'Neill, B. C., Tebaldi, C., van Vuuren, D. P., Eyring, V., Friedlingstein, P., Hurtt, G., Knutti, R., Kriegler, E., Lamarque, J.-F., Lowe, J., Meehl, G. A., Moss, R., Riahi, K., and Sanderson, B. M.: The Scenario Model Intercomparison Project (ScenarioMIP) for CMIP6, Geosci. Model Dev., 9, 3461–3482, https://doi.org/10.5194/gmd-9-3461-2016, 2016.
Pasquini, A. I., Cosentino, N. J., and Depetris, P. J.: The Main Hydrological Features of Patagonia's Santa Cruz River: An Updated Assessment, in: Environmental Assessment of Patagonia's Water Resources, edited by: Torres, A. I. and Campodonico, V. A., Environmental Earth Sciences, Springer, Cham, https://doi.org/10.1007/978-3-030-89676-8_9, 2021.
Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Prettenhofer, P., Weiss, R., Dubourg, V., Vanderplas, J., Passos, A., Cournapeau, D., Brucher, M., Perrot, M., and Duchesnay, É.: Scikit-learn: Machine Learning in Python, J. Mach. Learn. Res., 12, 2825–2830, 2011.
Pesci, M. H., Schulte Overberg, P., Bosshard, T., and Förster, K.: From global glacier modeling to catchment hydrology: bridging the gap with the WaSiM-OGGM coupling scheme, Frontiers in Water, 5, 296344, https://doi.org/10.3389/frwa.2023.1296344, 2023.
Poff, N. L., Allan, J. D., Bain, M. B., Karr, J. R., Prestegaard, K. L., Richter, B. D., Sparks, R. E., and Stromberg, J. C.: The Natural Flow Regime, BioScience, 47, 769–784, https://doi.org/10.2307/1313099, 1997.
Pritchard, H. D.: Asia's shrinking glaciers protect large populations from drought stress, Nature, 569, 649–654, https://doi.org/10.1038/s41586-019-1240-1, 2019.
Rasul, G. and Molden, D.: The Global Social and Economic Consequences of Mountain Cryospheric Change, Frontiers in Environmental Science, 7, 91, https://doi.org/10.3389/fenvs.2019.00091, 2019.
RGI Consortium: Randolph Glacier Inventory – A Dataset of Global Glacier Outlines, Version 6, National Snow and Ice Data Center [data set], https://doi.org/10.7265/4m1f-gd79, 2017.
RGI Consortium: Randolph Glacier Inventory – A Dataset of Global Glacier Outlines, NSIDC-0770, Version 7, National Snow and Ice Data Center [data set], https://doi.org/10.5067/F6JMOVY5NAVZ, 2023.
Richter, B. D., Baumgartner, J. V., Powell, J., and Braun, D. P.: A Method for Assessing Hydrologic Alteration within Ecosystems, Conserv. Biol., 10, 1163–1174, https://doi.org/10.1046/j.1523-1739.1996.10041163.x, 1996.
Rounce, D. R., Khurana, T., Short, M. B., Hock, R., Shean, D. E., and Brinkerhoff, D. J.: Quantifying parameter uncertainty in a large-scale glacier evolution model using Bayesian inference: application to High Mountain Asia, J. Glaciol., 66, 175–187, https://doi.org/10.1017/jog.2019.91, 2020.
Rounce, D. R., Hock, R., Maussion, F., Hugonnet, R., Kochtitzky, W., Huss, M., Berthier, E., Brinkerhoff, D., Compagno, L., Copland, L., Farinotti, D., Menounos, B., and McNabb, R. W.: Global glacier change in the 21st century: Every increase in temperature matters, Science, 379, 78–83, https://doi.org/10.1126/science.abo1324, 2023.
Ruiz, L., Pitte, P., Rivera, A., Schaefer, M., and Masiokas, M. H.: Current State and Recent Changes of Glaciers in the Patagonian Andes (∼ 37° S to 55° S), in: Freshwaters and Wetlands of Patagonia: Ecosystems and Socioecological Aspects, edited by: Mataloni, G. and Quintana, R. D., Springer International Publishing, Cham, 59–91, https://doi.org/10.1007/978-3-031-10027-7_4, 2022.
Sauter, T.: Revisiting extreme precipitation amounts over southern South America and implications for the Patagonian Icefields, Hydrol. Earth Syst. Sci., 24, 2003–2016, https://doi.org/10.5194/hess-24-2003-2020, 2020.
Schmidt, L., Heße, F., Attinger, S., and Kumar, R.: Challenges in Applying Machine Learning Models for Hydrological Inference: A Case Study for Flooding Events Across Germany, Water Resour. Res., 56, e2019WR025924, https://doi.org/10.1029/2019WR025924, 2020.
Schuster, L., Rounce, D. R., and Maussion, F.: Glacier projections sensitivity to temperature-index model choices and calibration strategies, Ann. Glaciol., 1–16, https://doi.org/10.1017/aog.2023.57, 2023.
Somers, L. D., McKenzie, J. M., Mark, B. G., Lagos, P., Ng, G. C., Wickert, A. D., Yarleque, C., Baraër, M., and Silva, Y.: Groundwater Buffers Decreasing Glacier Melt in an Andean Watershed—But Not Forever, Geophys. Res. Lett., 46, 13016–13026, https://doi.org/10.1029/2019GL084730, 2019.
Svetnik, V., Liaw, A., Tong, C., Culberson, J. C., Sheridan, R. P., and Feuston, B. P.: Random Forest: A Classification and Regression Tool for Compound Classification and QSAR Modeling, J. Chem. Inf. Comp. Sci., 43, 1947–1958, https://doi.org/10.1021/ci034160g, 2003.
Tang, G., Clark, M. P., and Papalexiou, S. M.: EM-Earth: The Ensemble Meteorological Dataset for Planet Earth, B. Am. Meteorol. Soc., 103, E996–E1018, https://doi.org/10.1175/BAMS-D-21-0106.1, 2022.
Tang, G., Clark, M. P., Knoben, W. J. M., Liu, H., Gharari, S., Arnal, L., Beck, H. E., Wood, A. W., Newman, A. J., and Papalexiou, S. M.: The Impact of Meteorological Forcing Uncertainty on Hydrological Modeling: A Global Analysis of Cryosphere Basins, Water Resour. Res., 59, e2022WR033767, https://doi.org/10.1029/2022WR033767, 2023.
Tarek, M., Brissette, F., and Arsenault, R.: Uncertainty of gridded precipitation and temperature reference datasets in climate change impact studies, Hydrol. Earth Syst. Sci., 25, 3331–3350, https://doi.org/10.5194/hess-25-3331-2021, 2021.
Temme, F., Farías-Barahona, D., Seehaus, T., Jaña, R., Arigony-Neto, J., Gonzalez, I., Arndt, A., Sauter, T., Schneider, C., and Fürst, J. J.: Strategies for regional modeling of surface mass balance at the Monte Sarmiento Massif, Tierra del Fuego, The Cryosphere, 17, 2343–2365, https://doi.org/10.5194/tc-17-2343-2023, 2023.
Tokarska, K. B., Stolpe, M. B., Sippel, S., Fischer, E. M., Smith, C. J., Lehner, F., and Knutti, R.: Past warming trend constrains future warming in CMIP6 models, Science Advances, 6, eaaz9549, https://doi.org/10.1126/sciadv.aaz9549, 2020.
Ultee, L., Coats, S., and Mackay, J.: Glacial runoff buffers droughts through the 21st century, Earth Syst. Dynam., 13, 935–959, https://doi.org/10.5194/esd-13-935-2022, 2022.
Van Tiel, M., Stahl, K., Freudiger, D., and Seibert, J.: Glacio–hydrological model calibration and evaluation, WIREs Water, 7, e1483, https://doi.org/10.1002/wat2.1483, 2020.
Van Tiel, M., Van Loon, A. F., Seibert, J., and Stahl, K.: Hydrological response to warm and dry weather: do glaciers compensate?, Hydrol. Earth Syst. Sci., 25, 3245–3265, https://doi.org/10.5194/hess-25-3245-2021, 2021.
Van Tiel, M., Weiler, M., Freudiger, D., Moretti, G., Kohn, I., Gerlinger, K., and Stahl, K.: Melting Alpine Water Towers Aggravate Downstream Low Flows: A Stress-Test Storyline Approach, Earths Future, 11, e2022EF003408, https://doi.org/10.1029/2022EF003408, 2023.
Van Wyk de Vries, M., Romero, M., Penprase, S. B., Ng, G.-H. C., and Wickert, A. D.: Increasing rate of 21st century volume loss of the Patagonian Icefields measured from proglacial river discharge, J. Glaciol., 69, 1187–1202, https://doi.org/10.1017/jog.2023.9, 2023.
Viviroli, D., Kummu, M., Meybeck, M., Kallio, M., and Wada, Y.: Increasing dependence of lowland populations on mountain water resources, Nat. Sustain., 3, 917–928, https://doi.org/10.1038/s41893-020-0559-9, 2020.
Wang, H., Chen, J., Xu, C., Zhang, J., and Chen, H.: A Framework to Quantify the Uncertainty Contribution of GCMs Over Multiple Sources in Hydrological Impacts of Climate Change, Earth's Future, 8, e2020EF001602, https://doi.org/10.1029/2020EF001602, 2020.
Watanabe, M., Yanagawa, A., Watanabe, S., Hirabayashi, Y., and Kanae, S.: Quantifying the range of future glacier mass change projections caused by differences among observed past-climate datasets, Clim. Dynam., 53, 2425–2435, https://doi.org/10.1007/s00382-019-04868-0, 2019.
Werder, M. A., Huss, M., Paul, F., Dehecq, A., and Farinotti, D.: A Bayesian ice thickness estimation model for large-scale applications, J. Glaciol., 66, 137–152, https://doi.org/10.1017/jog.2019.93, 2020.
Wiersma, P., Aerts, J., Zekollari, H., Hrachowitz, M., Drost, N., Huss, M., Sutanudjaja, E. H., and Hut, R.: Coupling a global glacier model to a global hydrological model prevents underestimation of glacier runoff, Hydrol. Earth Syst. Sci., 26, 5971–5986, https://doi.org/10.5194/hess-26-5971-2022, 2022.
Wimberly, F., Ultee, L., Schuster, L., Huss, M., Rounce, D. R., Maussion, F., Coats, S., Mackay, J., and Holmgren, E.: Inter-model differences in 21st Century Glacier Runoff for the World's Major River Basins, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2024-1778, 2024.
Zalazar, L., Ferri, L., Castro, M., Gargantini, H., Gimenez, M., Pitte, P., Ruiz, L., Masiokas, M., Costa, G., and Villalba, R.: Spatial distribution and characteristics of Andean ice masses in Argentina: results from the first National Glacier Inventory, J. Glaciol., 66, 938–949, https://doi.org/10.1017/jog.2020.55, 2020.
Zambrano-Bigiarini, M.: Temporal and spatial evaluation of long-term satellite-based precipitation products across the complex topographical and climatic gradients of Chile, Proc. SPIE 10782, Remote Sensing and Modeling of the Atmosphere, Oceans, and Interactions VII, 1078202, 23 October 2018, https://doi.org/10.1117/12.2513645, 2018.
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.
Zekollari, H., Huss, M., Farinotti, D., and Lhermitte, S.: Ice-Dynamical Glacier Evolution Modeling—A Review, Rev. Geophys., 60, e2021RG000754, https://doi.org/10.1029/2021RG000754, 2022.
Zekollari, H., Huss, M., Schuster, L., Maussion, F., Rounce, D. R., Aguayo, R., Champollion, N., Compagno, L., Hugonnet, R., Marzeion, B., Mojtabavi, S., and Farinotti, D.: 21st century global glacier evolution under CMIP6 scenarios and the role of glacier-specific observations, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2024-1013, 2024.
Zhao, H., Su, B., Lei, H., Zhang, T., and Xiao, C.: A new projection for glacier mass and runoff changes over High Mountain Asia, Sci. Bull.., 68, 43–47, https://doi.org/10.1016/j.scib.2022.12.004, 2023.
Short summary
Predicting how much water will come from glaciers in the future is a complex task, and there are many factors that make it uncertain. Using a glacier model, we explored 1920 scenarios for each glacier in the Patagonian Andes. We found that the choice of the historical climate data was the most important factor, while other factors such as different data sources, climate models and emission scenarios played a smaller role.
Predicting how much water will come from glaciers in the future is a complex task, and there are...
