Articles | Volume 17, issue 6
https://doi.org/10.5194/tc-17-2343-2023
© Author(s) 2023. 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-17-2343-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Strategies for regional modeling of surface mass balance at the Monte Sarmiento Massif, Tierra del Fuego
Institut für Geographie, Friedrich-Alexander-Universität
Erlangen-Nürnberg, Erlangen 91058, Germany
David Farías-Barahona
Departamento de Geografía, Universidad de Concepción,
Concepción, 4030000, Chile
Institut für Geographie, Friedrich-Alexander-Universität
Erlangen-Nürnberg, Erlangen 91058, Germany
Thorsten Seehaus
Institut für Geographie, Friedrich-Alexander-Universität
Erlangen-Nürnberg, Erlangen 91058, Germany
Ricardo Jaña
Departamento Científico, Instituto Antártico Chileno, Punta
Arenas, 6200000, Chile
Jorge Arigony-Neto
Instituto de Oceanografia, Universidade Federal do Rio Grande, Rio
Grande, 96203, Brazil
Instituto Nacional de Ciência e Tecnologia da Criosfera, Universidade Federal do Rio Grande, Porto Alegre, 91501-970, Brazil
Inti Gonzalez
Centro de Estudios del Cuaternario de Fuego-Patagonia y
Antárctica, Punta Arenas, 6200000, Chile
Programa Doctorado Ciencias Antárticas y Subantárticas,
Universidad de Magallanes, Punta Arenas, 6200000, Chile
Anselm Arndt
Geography Department, Humboldt-Universität zu Berlin, Berlin 10099, Germany
Tobias Sauter
Geography Department, Humboldt-Universität zu Berlin, Berlin 10099, Germany
Christoph Schneider
Geography Department, Humboldt-Universität zu Berlin, Berlin 10099, Germany
Johannes J. Fürst
Institut für Geographie, Friedrich-Alexander-Universität
Erlangen-Nürnberg, Erlangen 91058, Germany
Related authors
No articles found.
Katrina Lutz, Lily Bever, Christian Sommer, Thorsten Seehaus, Angelika Humbert, Mirko Scheinert, and Matthias Braun
The Cryosphere, 18, 5431–5449, https://doi.org/10.5194/tc-18-5431-2024, https://doi.org/10.5194/tc-18-5431-2024, 2024
Short summary
Short summary
The estimation of the amount of water found within supraglacial lakes is important for understanding how much water is lost from glaciers each year. Here, we develop two new methods for estimating supraglacial lake volume that can be easily applied on a large scale. Furthermore, we compare these methods to two previously developed methods in order to determine when it is best to use each method. Finally, three of these methods are applied to peak melt dates over an area in Northeast Greenland.
Felix Pfluger, Samuel Weber, Joseph Steinhauser, Christian Zangerl, Christine Fey, Johannes Fürst, and Michael Krautblatter
EGUsphere, https://doi.org/10.5194/egusphere-2024-2509, https://doi.org/10.5194/egusphere-2024-2509, 2024
Short summary
Short summary
Our study explores permafrost-glaciers interactions with a foucs on its implication for preparing/triggering high-volume rock slope failures. Using the Bliggspitze rock slide as a case study, we demonstrate a new type of rock slope failure mechanism triggered by the uplift of the cold/warm dividing line in polythermal alpine glaciers, a widespread and currently underexplored phenomenon in alpine environments worldwide.
Kaian Shahateet, Johannes J. Fürst, Francisco Navarro, Thorsten Seehaus, Daniel Farinotti, and Matthias Braun
EGUsphere, https://doi.org/10.5194/egusphere-2024-1571, https://doi.org/10.5194/egusphere-2024-1571, 2024
Short summary
Short summary
In the present work, we provide a new ice-thickness reconstruction of the Antarctic Peninsula Ice Sheet north of 70º S by using inversion modeling. This model consists of two steps; the first takes basic assumptions of the rheology of the glacier, and the second uses mass conservation to improve the reconstruction where the previously made assumptions are expected to fail. Validation with independent data showed that our reconstruction improved compared to other reconstruction available.
Livia Piermattei, Michael Zemp, Christian Sommer, Fanny Brun, Matthias H. Braun, Liss M. Andreassen, Joaquín M. C. Belart, Etienne Berthier, Atanu Bhattacharya, Laura Boehm Vock, Tobias Bolch, Amaury Dehecq, Inés Dussaillant, Daniel Falaschi, Caitlyn Florentine, Dana Floricioiu, Christian Ginzler, Gregoire Guillet, Romain Hugonnet, Matthias Huss, Andreas Kääb, Owen King, Christoph Klug, Friedrich Knuth, Lukas Krieger, Jeff La Frenierre, Robert McNabb, Christopher McNeil, Rainer Prinz, Louis Sass, Thorsten Seehaus, David Shean, Désirée Treichler, Anja Wendt, and Ruitang Yang
The Cryosphere, 18, 3195–3230, https://doi.org/10.5194/tc-18-3195-2024, https://doi.org/10.5194/tc-18-3195-2024, 2024
Short summary
Short summary
Satellites have made it possible to observe glacier elevation changes from all around the world. In the present study, we compared the results produced from two different types of satellite data between different research groups and against validation measurements from aeroplanes. We found a large spread between individual results but showed that the group ensemble can be used to reliably estimate glacier elevation changes and related errors from satellite data.
Bastian Morales, Marcelo Somos-Valenzuela, Mario Lillo, Iñigo Irarrazaval, David Farias, Elizabet Lizama, Diego Rivera, and Alfonso Fernández
EGUsphere, https://doi.org/10.5194/egusphere-2024-1053, https://doi.org/10.5194/egusphere-2024-1053, 2024
Short summary
Short summary
Through a physical model, we explored how lacier geometry and topography configuration constrains glacier thinning in the Patagonian Icefields, the world's main glacial freshwater reservoir after Antarctica and Greenland. Our results indicate that about 53 % of the Patagonian Icefield ice flow is susceptible to thinning. Our findings allow for identifying priority glaciers for future research considering climate change projections.
Annelies Voordendag, Brigitta Goger, Rainer Prinz, Tobias Sauter, Thomas Mölg, Manuel Saigger, and Georg Kaser
The Cryosphere, 18, 849–868, https://doi.org/10.5194/tc-18-849-2024, https://doi.org/10.5194/tc-18-849-2024, 2024
Short summary
Short summary
Wind-driven snow redistribution affects glacier mass balance. A case study of Hintereisferner glacier in Austria used high-resolution observations and simulations to model snow redistribution. Simulations matched observations, showing the potential of the model for studying snow redistribution on other mountain glaciers.
Oskar Herrmann, Nora Gourmelon, Thorsten Seehaus, Andreas Maier, Johannes J. Fürst, Matthias H. Braun, and Vincent Christlein
The Cryosphere, 17, 4957–4977, https://doi.org/10.5194/tc-17-4957-2023, https://doi.org/10.5194/tc-17-4957-2023, 2023
Short summary
Short summary
Delineating calving fronts of marine-terminating glaciers in satellite images is a labour-intensive task. We propose a method based on deep learning that automates this task. We choose a deep learning framework that adapts to any given dataset without needing deep learning expertise. The method is evaluated on a benchmark dataset for calving-front detection and glacier zone segmentation. The framework can beat the benchmark baseline without major modifications.
Thorsten Seehaus, Christian Sommer, Thomas Dethinne, and Philipp Malz
The Cryosphere, 17, 4629–4644, https://doi.org/10.5194/tc-17-4629-2023, https://doi.org/10.5194/tc-17-4629-2023, 2023
Short summary
Short summary
Existing mass budget estimates for the northern Antarctic Peninsula (>70° S) are affected by considerable limitations. We carried out the first region-wide analysis of geodetic mass balances throughout this region (coverage of 96.4 %) for the period 2013–2017 based on repeat pass bi-static TanDEM-X acquisitions. A total mass budget of −24.1±2.8 Gt/a is revealed. Imbalanced high ice discharge, particularly at former ice shelf tributaries, is the main driver of overall ice loss.
Alexandra M. Zuhr, Erik Loebel, Marek Muchow, Donovan Dennis, Luisa von Albedyll, Frigga Kruse, Heidemarie Kassens, Johanna Grabow, Dieter Piepenburg, Sören Brandt, Rainer Lehmann, Marlene Jessen, Friederike Krüger, Monika Kallfelz, Andreas Preußer, Matthias Braun, Thorsten Seehaus, Frank Lisker, Daniela Röhnert, and Mirko Scheinert
Polarforschung, 91, 73–80, https://doi.org/10.5194/polf-91-73-2023, https://doi.org/10.5194/polf-91-73-2023, 2023
Short summary
Short summary
Polar research is an interdisciplinary and multi-faceted field of research. Its diversity ranges from history to geology and geophysics to social sciences and education. This article provides insights into the different areas of German polar research. This was made possible by a seminar series, POLARSTUNDE, established in the summer of 2020 and organized by the German Society of Polar Research and the German National Committee of the Association of Polar Early Career Scientists (APECS Germany).
Christian Sommer, Johannes J. Fürst, Matthias Huss, and Matthias H. Braun
The Cryosphere, 17, 2285–2303, https://doi.org/10.5194/tc-17-2285-2023, https://doi.org/10.5194/tc-17-2285-2023, 2023
Short summary
Short summary
Knowledge on the volume of glaciers is important to project future runoff. Here, we present a novel approach to reconstruct the regional ice thickness distribution from easily available remote-sensing data. We show that past ice thickness, derived from spaceborne glacier area and elevation datasets, can constrain the estimated ice thickness. Based on the unique glaciological database of the European Alps, the approach will be most beneficial in regions without direct thickness measurements.
Nora Gourmelon, Thorsten Seehaus, Matthias Braun, Andreas Maier, and Vincent Christlein
Earth Syst. Sci. Data, 14, 4287–4313, https://doi.org/10.5194/essd-14-4287-2022, https://doi.org/10.5194/essd-14-4287-2022, 2022
Short summary
Short summary
Ice loss of glaciers shows in retreating calving fronts (i.e., the position where icebergs break off the glacier and drift into the ocean). This paper presents a benchmark dataset for calving front delineation in synthetic aperture radar (SAR) images. The dataset can be used to train and test deep learning techniques, which automate the monitoring of the calving front. Provided example models achieve front delineations with an average distance of 887 m to the correct calving front.
Mohamed H. Salim, Sebastian Schubert, Jaroslav Resler, Pavel Krč, Björn Maronga, Farah Kanani-Sühring, Matthias Sühring, and Christoph Schneider
Geosci. Model Dev., 15, 145–171, https://doi.org/10.5194/gmd-15-145-2022, https://doi.org/10.5194/gmd-15-145-2022, 2022
Short summary
Short summary
Radiative transfer processes are the main energy transport mechanism in urban areas which influence the surface energy budget and drive local convection. We show here the importance of each process to help modellers decide on how much detail they should include in their models to parameterize radiative transfer in urban areas. We showed how the flow field may change in response to these processes and the essential processes needed to assure acceptable quality of the numerical simulations.
Christian Sommer, Thorsten Seehaus, Andrey Glazovsky, and Matthias H. Braun
The Cryosphere, 16, 35–42, https://doi.org/10.5194/tc-16-35-2022, https://doi.org/10.5194/tc-16-35-2022, 2022
Short summary
Short summary
Arctic glaciers have been subject to extensive warming due to global climate change, yet their contribution to sea level rise has been relatively small in the past. In this study we provide mass changes of most glaciers of the Russian High Arctic (Franz Josef Land, Severnaya Zemlya, Novaya Zemlya). We use TanDEM-X satellite measurements to derive glacier surface elevation changes. Our results show an increase in glacier mass loss and a sea level rise contribution of 0.06 mm/a (2010–2017).
Peter Friedl, Thorsten Seehaus, and Matthias Braun
Earth Syst. Sci. Data, 13, 4653–4675, https://doi.org/10.5194/essd-13-4653-2021, https://doi.org/10.5194/essd-13-4653-2021, 2021
Short summary
Short summary
Consistent and continuous data on glacier surface velocity are important inputs to time series analyses, numerical ice dynamic modeling and glacier mass flux computations. We present a new data set of glacier surface velocities derived from Sentinel-1 radar satellite data that covers 12 major glaciated regions outside the polar ice sheets. The data comprise continuously updated scene-pair velocity fields, as well as monthly and annually averaged velocity mosaics at 200 m spatial resolution.
Guisella Gacitúa, Christoph Schneider, Jorge Arigony, Inti González, Ricardo Jaña, and Gino Casassa
Earth Syst. Sci. Data, 13, 231–236, https://doi.org/10.5194/essd-13-231-2021, https://doi.org/10.5194/essd-13-231-2021, 2021
Short summary
Short summary
We performed the first successful ice thickness measurements using terrestrial ground-penetrating radar in the ablation area of Schiaparelli Glacier (Cordillera Darwin, Tierra del Fuego, Chile). Data are fundamental to understand glaciers dynamics, constrain ice dynamical modelling, and predict glacier evolution. Results show a valley-shaped bedrock below current sea level; thus further retreat of Schiaparelli Glacier will probably lead to an enlarged and strongly over-deepened proglacial lake.
Ethan Welty, Michael Zemp, Francisco Navarro, Matthias Huss, Johannes J. Fürst, Isabelle Gärtner-Roer, Johannes Landmann, Horst Machguth, Kathrin Naegeli, Liss M. Andreassen, Daniel Farinotti, Huilin Li, and GlaThiDa Contributors
Earth Syst. Sci. Data, 12, 3039–3055, https://doi.org/10.5194/essd-12-3039-2020, https://doi.org/10.5194/essd-12-3039-2020, 2020
Short summary
Short summary
Knowing the thickness of glacier ice is critical for predicting the rate of glacier loss and the myriad downstream impacts. To facilitate forecasts of future change, we have added 3 million measurements to our worldwide database of glacier thickness: 14 % of global glacier area is now within 1 km of a thickness measurement (up from 6 %). To make it easier to update and monitor the quality of our database, we have used automated tools to check and track changes to the data over time.
Tobias Sauter, Anselm Arndt, and Christoph Schneider
Geosci. Model Dev., 13, 5645–5662, https://doi.org/10.5194/gmd-13-5645-2020, https://doi.org/10.5194/gmd-13-5645-2020, 2020
Short summary
Short summary
Glacial changes play a key role from a socioeconomic, political, and scientific point of view. Here, we present the open-source coupled snowpack and ice surface energy and mass balance model, which provides a lean, flexible, and user-friendly framework for modeling distributed snow and glacier mass changes. The model provides a suitable platform for sensitivity, detection, and attribution analyses for glacier changes and a tool for quantifying inherent uncertainties.
Catrin Stadelmann, Johannes Jakob Fürst, Thomas Mölg, and Matthias Braun
The Cryosphere, 14, 3399–3406, https://doi.org/10.5194/tc-14-3399-2020, https://doi.org/10.5194/tc-14-3399-2020, 2020
Short summary
Short summary
The glaciers on Kilimanjaro are unique indicators for climatic changes in the tropical midtroposphere of Africa. A history of severe glacier area loss raises concerns about an imminent future disappearance. Yet the remaining ice volume is not well known. Here, we reconstruct ice thickness maps for the two largest remaining ice bodies to assess the current glacier state. We believe that our approach could provide a means for a glacier-specific calibration of reconstructions on different scales.
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
Short summary
Short summary
Chile hosts glaciers in a large range of latitudes and climates. To project future ice extent, a sound quantification of the energy exchange between atmosphere and glaciers is needed. We present new data for six Chilean glaciers belonging to three glaciological zones. In the Central Andes, the main energy source for glacier melt is the incoming solar radiation, while in southern Patagonia heat provided by the mild and humid air is also important. Total melt rates are higher in Patagonia.
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
Short summary
Short summary
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.
Tobias Sauter
Hydrol. Earth Syst. Sci., 24, 2003–2016, https://doi.org/10.5194/hess-24-2003-2020, https://doi.org/10.5194/hess-24-2003-2020, 2020
Short summary
Short summary
Patagonia is thought to be one of the wettest – if not the wettest – places on Earth. The plausibility of these numbers has never been carefully scrutinized, despite the significance of this topic to our understanding of observed environmental changes, such as glacier recession. The revised precipitation values are significantly smaller than the previously reported values, thus opening up a new perspective on the Patagonian glaciers' response to climate change.
Kirstin Hoffmann, Francisco Fernandoy, Hanno Meyer, Elizabeth R. Thomas, Marcelo Aliaga, Dieter Tetzner, Johannes Freitag, Thomas Opel, Jorge Arigony-Neto, Christian Florian Göbel, Ricardo Jaña, Delia Rodríguez Oroz, Rebecca Tuckwell, Emily Ludlow, Joseph R. McConnell, and Christoph Schneider
The Cryosphere, 14, 881–904, https://doi.org/10.5194/tc-14-881-2020, https://doi.org/10.5194/tc-14-881-2020, 2020
Thorsten Seehaus, Philipp Malz, Christian Sommer, Stefan Lippl, Alejo Cochachin, and Matthias Braun
The Cryosphere, 13, 2537–2556, https://doi.org/10.5194/tc-13-2537-2019, https://doi.org/10.5194/tc-13-2537-2019, 2019
Short summary
Short summary
The glaciers in Peru are strongly affected by climate change and have shown significant ice loss in the last century. We present the first multi-temporal, countrywide quantification of glacier area and ice mass changes. A glacier area loss of −548.5 ± 65.7 km2 (−29 %) and ice mass loss of −7.62 ± 1.05 Gt is obtained for the period 2000–2016. The ice loss rate increased towards the end of the observation period. The glacier changes revealed can be attributed to regional climatic changes and ENSO.
Peter Friedl, Thorsten C. Seehaus, Anja Wendt, Matthias H. Braun, and Kathrin Höppner
The Cryosphere, 12, 1347–1365, https://doi.org/10.5194/tc-12-1347-2018, https://doi.org/10.5194/tc-12-1347-2018, 2018
Short summary
Short summary
Fleming Glacier is the biggest tributary glacier of the former Wordie Ice Shelf. Radar satellite data and airborne ice elevation measurements show that the glacier accelerated by ~27 % between 2008–2011 and that ice thinning increased by ~70 %. This was likely a response to a two-phase ungrounding of the glacier tongue between 2008 and 2011, which was mainly triggered by increased basal melt during two strong upwelling events of warm circumpolar deep water.
Thorsten Seehaus, Alison J. Cook, Aline B. Silva, and Matthias Braun
The Cryosphere, 12, 577–594, https://doi.org/10.5194/tc-12-577-2018, https://doi.org/10.5194/tc-12-577-2018, 2018
Short summary
Short summary
The ice sheet of northern Antarctic Peninsula has been significantly affected by climate change within the last century. A temporally and spatially detailed study on the evolution of glacier retreat and flow speeds of 74 basins is provided. Since 1985 a total frontal retreat of 238 km2 and since 1992 regional mean changes in ice flow by up to 58 % are observed. The trends in ice dynamics are correlated with geometric parameters of the glacier catchments and regional climatic settings.
Rebecca Möller, Marco Möller, Peter A. Kukla, and Christoph Schneider
Earth Syst. Sci. Data, 10, 53–60, https://doi.org/10.5194/essd-10-53-2018, https://doi.org/10.5194/essd-10-53-2018, 2018
Short summary
Short summary
Deposits of volcanic tephra alter the energy balance at the surface of a glacier. The effects reach from intensified melt to complete insulation, mainly depending on tephra thickness. Data from a field experiment on Iceland reveal an additional minor dependency on tephra type and suggest a substantially different behavior of tephra-covered snowpacks than of tephra-covered glacier ice. The related 50-day dataset of hourly records can readily be used for model calibration and validation purposes.
Johannes Jakob Fürst, Fabien Gillet-Chaulet, Toby J. Benham, Julian A. Dowdeswell, Mariusz Grabiec, Francisco Navarro, Rickard Pettersson, Geir Moholdt, Christopher Nuth, Björn Sass, Kjetil Aas, Xavier Fettweis, Charlotte Lang, Thorsten Seehaus, and Matthias Braun
The Cryosphere, 11, 2003–2032, https://doi.org/10.5194/tc-11-2003-2017, https://doi.org/10.5194/tc-11-2003-2017, 2017
Short summary
Short summary
For the large majority of glaciers and ice caps, there is no information on the thickness of the ice cover. Any attempt to predict glacier demise under climatic warming and to estimate the future contribution to sea-level rise is limited as long as the glacier thickness is not well constrained. Here, we present a two-step mass-conservation approach for mapping ice thickness. Measurements are naturally reproduced. The reliability is readily assessible from a complementary map of error estimates.
Melanie Rankl, Johannes Jakob Fürst, Angelika Humbert, and Matthias Holger Braun
The Cryosphere, 11, 1199–1211, https://doi.org/10.5194/tc-11-1199-2017, https://doi.org/10.5194/tc-11-1199-2017, 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
Short summary
Short summary
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.
Tobias Sauter and Stephan Peter Galos
The Cryosphere, 10, 2887–2905, https://doi.org/10.5194/tc-10-2887-2016, https://doi.org/10.5194/tc-10-2887-2016, 2016
Short summary
Short summary
The paper deals with the micrometeorological conditions on mountain glaciers. We use idealized large-eddy simulations to study the heat transport associated with the local wind systems and its impact on the energy exchange between atmosphere and glaciers. Our results demonstrate how the sensible heat flux variablility on glaciers is related to topographic effects and that the energy surplus is strong enough to significantly increase the local glacier melting rates.
J. Kropáček, N. Neckel, B. Tyrna, N. Holzer, A. Hovden, N. Gourmelen, C. Schneider, M. Buchroithner, and V. Hochschild
Nat. Hazards Earth Syst. Sci., 15, 2425–2437, https://doi.org/10.5194/nhess-15-2425-2015, https://doi.org/10.5194/nhess-15-2425-2015, 2015
Short summary
Short summary
The supraglacial lake basin was mapped by DGPS and the SFM approach from terrestrial photographs. The maximum filling capacity of the lake was estimated, with a maximum discharge of 77.8 m3/s, calculated using an empirical relation. The flooded area in the valley was delineated by employing a raster-based hydraulic model. A coincidence of the GLOF events with high values of cumulative above-zero temperature and precipitation calculated from the HAR data set was revealed.
J. J. Fürst, G. Durand, F. Gillet-Chaulet, N. Merino, L. Tavard, J. Mouginot, N. Gourmelen, and O. Gagliardini
The Cryosphere, 9, 1427–1443, https://doi.org/10.5194/tc-9-1427-2015, https://doi.org/10.5194/tc-9-1427-2015, 2015
Short summary
Short summary
We present a comprehensive high-resolution assimilation of Antarctic surface velocities with a flow model. The inferred velocities are in very good agreement with observations, even when compared to recent studies on individual shelves. This quality allows to identify a pattern in the velocity mismatch that points at pinning points not present in the input geometry. We identify seven potential pinning points around Antarctica, for now uncharted, providing prominent resistance to the ice flow.
J. J. Fürst, H. Goelzer, and P. Huybrechts
The Cryosphere, 9, 1039–1062, https://doi.org/10.5194/tc-9-1039-2015, https://doi.org/10.5194/tc-9-1039-2015, 2015
A. Rivera, R. Zamora, J. A. Uribe, R. Jaña, and J. Oberreuter
The Cryosphere, 8, 1445–1456, https://doi.org/10.5194/tc-8-1445-2014, https://doi.org/10.5194/tc-8-1445-2014, 2014
T. Sauter, M. Möller, R. Finkelnburg, M. Grabiec, D. Scherer, and C. Schneider
The Cryosphere, 7, 1287–1301, https://doi.org/10.5194/tc-7-1287-2013, https://doi.org/10.5194/tc-7-1287-2013, 2013
Related subject area
Discipline: Glaciers | Subject: Energy Balance Obs/Modelling
Brief Communication: Accurate and autonomous snow water equivalent measurements using a cosmic ray sensor on a Himalayan glacier
Surface heat fluxes at coarse blocky Murtèl rock glacier (Engadine, eastern Swiss Alps)
Evaluation of reanalysis data and dynamical downscaling for surface energy balance modeling at mountain glaciers in western Canada
Modeling of surface energy balance for Icelandic glaciers using remote-sensing albedo
Long-term firn and mass balance modelling for Abramov Glacier in the data-scarce Pamir Alay
The surface energy balance during foehn events at Joyce Glacier, McMurdo Dry Valleys, Antarctica
Sub-seasonal variability of supraglacial ice cliff melt rates and associated processes from time-lapse photogrammetry
Cloud forcing of surface energy balance from in situ measurements in diverse mountain glacier environments
Modelling glacier mass balance and climate sensitivity in the context of sparse observations: application to Saskatchewan Glacier, western Canada
Understanding monsoon controls on the energy and mass balance of glaciers in the Central and Eastern Himalaya
SNICAR-ADv4: a physically based radiative transfer model to represent the spectral albedo of glacier ice
Firn changes at Colle Gnifetti revealed with a high-resolution process-based physical model approach
Seasonal and interannual variability of melt-season albedo at Haig Glacier, Canadian Rocky Mountains
Surface energy fluxes on Chilean glaciers: measurements and models
Using 3D turbulence-resolving simulations to understand the impact of surface properties on the energy balance of a debris-covered glacier
Incorporating moisture content in surface energy balance modeling of a debris-covered glacier
Surface melt and the importance of water flow – an analysis based on high-resolution unmanned aerial vehicle (UAV) data for an Arctic glacier
Glacio-hydrological melt and run-off modelling: application of a limits of acceptability framework for model comparison and selection
Navaraj Pokhrel, Patrick Wagnon, Fanny Brun, Arbindra Khadka, Tom Matthews, Audrey Goutard, Dibas Shrestha, Baker Perry, and Marion Réveillet
EGUsphere, https://doi.org/10.5194/egusphere-2024-1760, https://doi.org/10.5194/egusphere-2024-1760, 2024
Short summary
Short summary
We studied snow processes in the accumulation area of Mera Glacier (Central Himalaya, Nepal) by deploying a cosmic ray counting sensor that allows to track the evolution of the snow water equivalent. We suspect significant surface melting, water percolation and refreezing within the snowpack, that might be missed by traditional mass balance surveys.
Dominik Amschwand, Martin Scherler, Martin Hoelzle, Bernhard Krummenacher, Anna Haberkorn, Christian Kienholz, and Hansueli Gubler
The Cryosphere, 18, 2103–2139, https://doi.org/10.5194/tc-18-2103-2024, https://doi.org/10.5194/tc-18-2103-2024, 2024
Short summary
Short summary
Rock glaciers are coarse-debris permafrost landforms that are comparatively climate resilient. We estimate the surface energy balance of rock glacier Murtèl (Swiss Alps) based on a large surface and sub-surface sensor array. During the thaw seasons 2021 and 2022, 90 % of the net radiation was exported via turbulent heat fluxes and only 10 % was transmitted towards the ground ice table. However, early snowmelt and droughts make these permafrost landforms vulnerable to climate warming.
Christina Draeger, Valentina Radić, Rachel H. White, and Mekdes Ayalew Tessema
The Cryosphere, 18, 17–42, https://doi.org/10.5194/tc-18-17-2024, https://doi.org/10.5194/tc-18-17-2024, 2024
Short summary
Short summary
Our study increases our confidence in using reanalysis data for reconstructions of past glacier melt and in using dynamical downscaling for long-term simulations from global climate models to project glacier melt. We find that the surface energy balance model, forced with reanalysis and dynamically downscaled reanalysis data, yields <10 % difference in the modeled total melt energy when compared to the same model being forced with observations at our glacier sites in western Canada.
Andri Gunnarsson, Sigurdur M. Gardarsson, and Finnur Pálsson
The Cryosphere, 17, 3955–3986, https://doi.org/10.5194/tc-17-3955-2023, https://doi.org/10.5194/tc-17-3955-2023, 2023
Short summary
Short summary
A model was developed with the possibility of utilizing satellite-derived daily surface albedo driven by high-resolution climate data to estimate the surface energy balance (SEB) for all Icelandic glaciers for the period 2000–2021.
Marlene Kronenberg, Ward van Pelt, Horst Machguth, Joel Fiddes, Martin Hoelzle, and Felix Pertziger
The Cryosphere, 16, 5001–5022, https://doi.org/10.5194/tc-16-5001-2022, https://doi.org/10.5194/tc-16-5001-2022, 2022
Short summary
Short summary
The Pamir Alay is located at the edge of regions with anomalous glacier mass changes. Unique long-term in situ data are available for Abramov Glacier, located in the Pamir Alay. In this study, we use this extraordinary data set in combination with reanalysis data and a coupled surface energy balance–multilayer subsurface model to compute and analyse the distributed climatic mass balance and firn evolution from 1968 to 2020.
Marte G. Hofsteenge, Nicolas J. Cullen, Carleen H. Reijmer, Michiel van den Broeke, Marwan Katurji, and John F. Orwin
The Cryosphere, 16, 5041–5059, https://doi.org/10.5194/tc-16-5041-2022, https://doi.org/10.5194/tc-16-5041-2022, 2022
Short summary
Short summary
In the McMurdo Dry Valleys (MDV), foehn winds can impact glacial meltwater production and the fragile ecosystem that depends on it. We study these dry and warm winds at Joyce Glacier and show they are caused by a different mechanism than that found for nearby valleys, demonstrating the complex interaction of large-scale winds with the mountains in the MDV. We find that foehn winds increase sublimation of ice, increase heating from the atmosphere, and increase the occurrence and rates of melt.
Marin Kneib, Evan S. Miles, Pascal Buri, Stefan Fugger, Michael McCarthy, Thomas E. Shaw, Zhao Chuanxi, Martin Truffer, Matthew J. Westoby, Wei Yang, and Francesca Pellicciotti
The Cryosphere, 16, 4701–4725, https://doi.org/10.5194/tc-16-4701-2022, https://doi.org/10.5194/tc-16-4701-2022, 2022
Short summary
Short summary
Ice cliffs are believed to be important contributors to the melt of debris-covered glaciers, but this has rarely been quantified as the cliffs can disappear or rapidly expand within a few weeks. We used photogrammetry techniques to quantify the weekly evolution and melt of four cliffs. We found that their behaviour and melt during the monsoon is strongly controlled by supraglacial debris, streams and ponds, thus providing valuable insights on the melt and evolution of debris-covered glaciers.
Jonathan P. Conway, Jakob Abermann, Liss M. Andreassen, Mohd Farooq Azam, Nicolas J. Cullen, Noel Fitzpatrick, Rianne H. Giesen, Kirsty Langley, Shelley MacDonell, Thomas Mölg, Valentina Radić, Carleen H. Reijmer, and Jean-Emmanuel Sicart
The Cryosphere, 16, 3331–3356, https://doi.org/10.5194/tc-16-3331-2022, https://doi.org/10.5194/tc-16-3331-2022, 2022
Short summary
Short summary
We used data from automatic weather stations on 16 glaciers to show how clouds influence glacier melt in different climates around the world. We found surface melt was always more frequent when it was cloudy but was not universally faster or slower than under clear-sky conditions. Also, air temperature was related to clouds in opposite ways in different climates – warmer with clouds in cold climates and vice versa. These results will help us improve how we model past and future glacier melt.
Christophe Kinnard, Olivier Larouche, Michael N. Demuth, and Brian Menounos
The Cryosphere, 16, 3071–3099, https://doi.org/10.5194/tc-16-3071-2022, https://doi.org/10.5194/tc-16-3071-2022, 2022
Short summary
Short summary
This study implements a physically based, distributed glacier mass balance model in a context of sparse direct observations. Carefully constraining model parameters with ancillary data allowed for accurately reconstructing the mass balance of Saskatchewan Glacier over a 37-year period. We show that the mass balance sensitivity to warming is dominated by increased melting and that changes in glacier albedo and air humidity are the leading causes of increased glacier melt under warming scenarios.
Stefan Fugger, Catriona L. Fyffe, Simone Fatichi, Evan Miles, Michael McCarthy, Thomas E. Shaw, Baohong Ding, Wei Yang, Patrick Wagnon, Walter Immerzeel, Qiao Liu, and Francesca Pellicciotti
The Cryosphere, 16, 1631–1652, https://doi.org/10.5194/tc-16-1631-2022, https://doi.org/10.5194/tc-16-1631-2022, 2022
Short summary
Short summary
The monsoon is important for the shrinking and growing of glaciers in the Himalaya during summer. We calculate the melt of seven glaciers in the region using a complex glacier melt model and weather data. We find that monsoonal weather affects glaciers that are covered with a layer of rocky debris and glaciers without such a layer in different ways. It is important to take so-called turbulent fluxes into account. This knowledge is vital for predicting the future of the Himalayan glaciers.
Chloe A. Whicker, Mark G. Flanner, Cheng Dang, Charles S. Zender, Joseph M. Cook, and Alex S. Gardner
The Cryosphere, 16, 1197–1220, https://doi.org/10.5194/tc-16-1197-2022, https://doi.org/10.5194/tc-16-1197-2022, 2022
Short summary
Short summary
Snow and ice surfaces are important to the global climate. Current climate models use measurements to determine the reflectivity of ice. This model uses physical properties to determine the reflectivity of snow, ice, and darkly pigmented impurities that reside within the snow and ice. Therefore, the modeled reflectivity is more accurate for snow/ice columns under varying climate conditions. This model paves the way for improvements in the portrayal of snow and ice within global climate models.
Enrico Mattea, Horst Machguth, Marlene Kronenberg, Ward van Pelt, Manuela Bassi, and Martin Hoelzle
The Cryosphere, 15, 3181–3205, https://doi.org/10.5194/tc-15-3181-2021, https://doi.org/10.5194/tc-15-3181-2021, 2021
Short summary
Short summary
In our study we find that climate change is affecting the high-alpine Colle Gnifetti glacier (Swiss–Italian Alps) with an increase in melt amounts and ice temperatures.
In the near future this trend could threaten the viability of the oldest ice core record in the Alps.
To reach our conclusions, for the first time we used the meteorological data of the highest permanent weather station in Europe (Capanna Margherita, 4560 m), together with an advanced numeric simulation of the glacier.
Shawn J. Marshall and Kristina Miller
The Cryosphere, 14, 3249–3267, https://doi.org/10.5194/tc-14-3249-2020, https://doi.org/10.5194/tc-14-3249-2020, 2020
Short summary
Short summary
Surface-albedo measurements from 2002 to 2017 from Haig Glacier in the Canadian Rockies provide no evidence of long-term trends (i.e., the glacier does not appear to be darkening), but there are large variations in albedo over the melt season and from year to year. The glacier ice is exceptionally dark in association with forest fire fallout but is effectively cleansed by meltwater or rainfall. Summer snowfall plays an important role in refreshing the glacier surface and reducing summer melt.
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
Short summary
Short summary
Chile hosts glaciers in a large range of latitudes and climates. To project future ice extent, a sound quantification of the energy exchange between atmosphere and glaciers is needed. We present new data for six Chilean glaciers belonging to three glaciological zones. In the Central Andes, the main energy source for glacier melt is the incoming solar radiation, while in southern Patagonia heat provided by the mild and humid air is also important. Total melt rates are higher in Patagonia.
Pleun N. J. Bonekamp, Chiel C. van Heerwaarden, Jakob F. Steiner, and Walter W. Immerzeel
The Cryosphere, 14, 1611–1632, https://doi.org/10.5194/tc-14-1611-2020, https://doi.org/10.5194/tc-14-1611-2020, 2020
Short summary
Short summary
Drivers controlling melt of debris-covered glaciers are largely unknown. With a 3D turbulence-resolving model the impact of surface properties of debris on micrometeorological variables and the conductive heat flux is shown. Also, we show ice cliffs are local melt hot spots and that turbulent fluxes and local heat advection amplify spatial heterogeneity on the surface.This work is important for glacier mass balance modelling and for the understanding of the evolution of debris-covered glaciers.
Alexandra Giese, Aaron Boone, Patrick Wagnon, and Robert Hawley
The Cryosphere, 14, 1555–1577, https://doi.org/10.5194/tc-14-1555-2020, https://doi.org/10.5194/tc-14-1555-2020, 2020
Short summary
Short summary
Rocky debris on glacier surfaces is known to affect the melt of mountain glaciers. Debris can be dry or filled to varying extents with liquid water and ice; whether debris is dry, wet, and/or icy affects how efficiently heat is conducted through debris from its surface to the ice interface. Our paper presents a new energy balance model that simulates moisture phase, evolution, and location in debris. ISBA-DEB is applied to West Changri Nup glacier in Nepal to reveal important physical processes.
Eleanor A. Bash and Brian J. Moorman
The Cryosphere, 14, 549–563, https://doi.org/10.5194/tc-14-549-2020, https://doi.org/10.5194/tc-14-549-2020, 2020
Short summary
Short summary
High-resolution measurements from unmanned aerial vehicle (UAV) imagery allowed for examination of glacier melt model performance in detail at Fountain Glacier. This work capitalized on distributed measurements at 10 cm resolution to look at the spatial distribution of model errors in the ablation zone. Although the model agreed with measurements on average, strong correlation was found with surface water. The results highlight the contribution of surface water flow to melt at this location.
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
Short summary
Short summary
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.
Cited articles
Albrecht, T., Winkelmann, R., and Levermann, A.: Glacial-cycle simulations of the Antarctic Ice Sheet with the Parallel Ice Sheet Model (PISM) – Part 2: Parameter ensemble analysis, The Cryosphere, 14, 633–656, https://doi.org/10.5194/tc-14-633-2020, 2020.
Arigony-Neto, J., Jaña, R., Gonzalez, Inti, Schneider, C., and Temme, F.: Meteorological Observations at Schiaparelli Glacier Automatic Weather Station (AWSglacier), Cordillera Darwin, Chile, 2013–2019, PANGAEA [data set], https://doi.org/10.1594/PANGAEA.958694, 2023.
Arndt, A., Scherer, D., and Schneider, C.: Atmosphere Driven Mass-Balance
Sensitivity of Halji Glacier, Himalayas, Atmosphere, 12, 426,
https://doi.org/10.3390/atmos12040426, 2021a.
Arndt, A., Sauter, T., and Saß, B.: COSIPY v1.4, Zenodo [code], https://doi.org/10.5281/zenodo.4439551, 2021b.
Ayala, A., Pellicciotti, F., and Shea, J. M.: Modeling 2 m air temperatures
over mountain glaciers: Exploring the influence of katabatic cooling and
external warming, J. Geophys. Res.-Atmos., 120, 3139–3157,
https://doi.org/10.1002/2015JD023137, 2015.
Barandun, M., Pohl, E., Naegeli, K., McNabb, R., Huss, M., Berthier, E., Saks, T., and Heolzle, M.: Hot spots of glacier mass balance variability in Central Asia, Geophys. Res. Lett., 48, e2020GL092084, https://doi.org/10.1029/2020GL092084, 2021.
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.
Barstad, I. and Smith, R. B.: Evaluation of an orographic precipitation
model, J. Hydrometeorol., 6, 85–99, https://doi.org/10.1175/JHM-404.1, 2005.
Bentley, C. R.: Mass balance of the Antarctic ice sheet: observational
aspects, in: Mass Balance of the Cryosphere, Observations and Modelling of Contemporary and Future Changes, edited by: Houghton, J., Bamber, J., and Payne, A., Cambridge University Press, Cambridge, 459–490,
https://doi.org/10.1017/cbo9780511535659.014, 2009.
Bown, F., Rivera, A., Zenteno, P., Bravo, C., and Cawkwell, F.: First
Glacier Inventory and Recent Glacier Variation on Isla Grande de Tierra Del
Fuego and Adjacent Islands in Southern Chile, in: Global Land Ice Measurements
from Space, edited by: Kargel, J., Leonard, G., Bishop, M., Kääb, A., and Raup, B., Springer, Berlin, Heidelberg, 661–674,
https://doi.org/10.1007/978-3-540-79818-7_28, 2014.
Bown, F., Rivera, A., Peȩtlicki, M., Bravo, C., Oberreuter, J., and Moffat,
C.: Recent ice dynamics and mass balance of Jorge Montt Glacier, Southern
Patagonia Icefield, J. Glaciol., 65, 732–744,
https://doi.org/10.1017/jog.2019.47, 2019.
Braithwaite, R.: Positive degree-day factors for ablation on the Greenland
ice sheet studied by energy-balance modelling, J. Glaciol., 41, 153–160,
https://doi.org/10.3189/S0022143000017846, 1995.
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, Front. Environ. Sci., 7,
1–18, https://doi.org/10.3389/fenvs.2019.00030, 2019b.
Brock, B., Willis, I., and Sharp, M.: Measurement and parameterization of aerodynamic roughness length variations at Haut Glacier d’Arolla, Switzerland, J. Glaciol., 52, 281–297, https://doi.org/10.3189/172756506781828746, 2006.
Buisán, S. T., Earle, M. E., Collado, J. L., Kochendorfer, J., Alastrué, J., Wolff, M., Smith, C. D., and López-Moreno, J. I.: Assessment of snowfall accumulation underestimation by tipping bucket gauges in the Spanish operational network, Atmos. Meas. Tech., 10, 1079–1091, https://doi.org/10.5194/amt-10-1079-2017, 2017.
Buttstädt, M., Möller, M., Iturraspe, R., and Schneider, C.: Mass balance evolution of Martial Este Glacier, Tierra del Fuego (Argentina) for the period 1960–2099, Adv. Geosci., 22, 117–124, https://doi.org/10.5194/adgeo-22-117-2009, 2009.
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.
Carrivick, J. L., Davies, B. J., James, W. H. M., Quincey, D. J., and
Glasser, N. F.: Distributed ice thickness and glacier volume in southern
South America, Global Planet. Change, 146, 122–132,
https://doi.org/10.1016/j.gloplacha.2016.09.010, 2016.
Cogley, J. C., Rasmussen, L. A., Arendt, A. A., Bauder, A., Braithwaite, R.
J., Jansson, P., Kaser, G., Möller, M., Nicholson, M., and Zemp, M.:
Glossary of Glacier Mass Balance and Related Terms, IACS Contrib. No. 2,
2011.
Cullen, N., Mölg, T., Kaser, G., Steffen, K., and Hardy, D.: Energy-balance model validation on the top of Kilimanjaro, Tanzania, using eddy covariance data, Ann. Glaciol., 46, 227–233, https://doi.org/10.3189/172756407782871224, 2007.
Dadic, R., Mott, R., Lehning, M., and Burlando, P.: Parameterization for
wind-induced preferential deposition of snow, Hydrol. Process., 24,
1994–2006, https://doi.org/10.1002/hyp.7776, 2010.
DGA: Metodología de inventario público de glaciares, SDT
No. 447, 2022. Ministerio de Obras Públicas, Dirección
General de Aguas Unidad de Glaciología y Nieves, realizado por:
Casassa, G., Espinoza, A., Segovia, A., and Huenante, J., 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.
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., Carenzo, M., Pellicciotti, F., Bauder, A., and Funk, M.: A
comparison of empirical and physically based glacier surface melt models for
long-term simulations of glacier response, J. Glaciol., 60, 1199–1207,
https://doi.org/10.3189/2014JoG14J011, 2014.
Gacitúa, G., Schneider, C., and Casassa, G.: Ice thickness observations in Glacier Schiaparelli, Cordillera Darwin, Chile, PANGAEA [data set], https://doi.org/10.1594/PANGAEA.919331, 2020.
Gacitúa, G., Schneider, C., Arigony, J., González, I., Jaña, R., and Casassa, G.: First ice thickness measurements in Tierra del Fuego at Schiaparelli Glacier, Chile, Earth Syst. Sci. Data, 13, 231–236, https://doi.org/10.5194/essd-13-231-2021, 2021.
Gardner, A. S. and Sharp, M.: Sensitivity of net mass-balance estimates to
near-surface temperature lapse rates when employing the degree-day method to
estimate glacier melt, Ann. Glaciol., 50, 80–86,
https://doi.org/10.3189/172756409787769663, 2009.
Gardner, A. S., Sharp, M. J., Koerner, R. M., Labine, C., Boon, S.,
Marshall, S. J., Burgess, D. O., and Lewis, D.: Near-surface temperature
lapse rates over arctic glaciers and their implications for temperature
downscaling, J. Climate, 22, 4281–4298,
https://doi.org/10.1175/2009JCLI2845.1, 2009.
Garreaud, R. D., Vuille, M., Compagnucci, R., and Marengo, J.: Present-day
South American climate, Palaeogeogr. Palaeocl., 281, 180–195,
https://doi.org/10.1016/j.palaeo.2007.10.032, 2009.
Glasser, N. F., Harrison, S., Winchester, V., and Aniya, M.: Late
Pleistocene and Holocene palaeoclimate and glacier fluctuations in
Patagonia, Global Planet. Change, 43, 79–101,
https://doi.org/10.1016/j.gloplacha.2004.03.002, 2004.
Groos, A. R., Mayer, C., Smiraglia, C., Diolaiuti, G., and Lambrecht, A.: A
first attempt to model region-wide glacier surface mass balances in the
Karakoram: Findings and future challenges,
Geogr. Fis. Din. Quat., 40, 137–159, https://doi.org/10.4461/GFDQ.2017.40.10, 2017.
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.
Gurgiser, W., Molg, T., Nicholson, L., and Kaser, G.: Mass-balance model
parameter transferability on a tropical glacier, J. Glaciol., 59, 845–858,
https://doi.org/10.3189/2013JoG12J226, 2013.
Hanna, E., Mernild, S., de Villiers, S., and Yde, J.: Surface air
temperature variations and lapse rates on Olivares Gamma Glacier, Rio
Olivares Basin, Central Chile, from a novel meteorological sensor network,
Meteorol. Appl., 2017, 12–14, 2017.
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 hourly 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.adbb2d47, 2023a.
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 hourly data on pressure levels from 1940 to present, Copernicus Climate Change Service (C3S) Climate Data Store (CDS) [data set], https://doi.org/10.24381/cds.bd0915c6, 2023b.
Heynen, M., Miles, E., Ragettli, S., Buri, P., Immerzeel, W. W., and
Pellicciotti, F.: Air temperature variability in a high-elevation Himalayan
catchment, Ann. Glaciol., 57, 212–222, https://doi.org/10.3189/2016AoG71A076,
2016.
Hock, R.: A distributed temperature-index ice- and snowmelt model including
potential direct solar radiation, J. Glaciol., 45, 101–111, 1999.
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.
Huintjes, E., Sauter, T., Schroter, B., Maussion, F., Yang, W.,
Kropaček, J., Buchroithner, M., Scherer, D., Kang, S., and Schneider,
C.: Evaluation of a Coupled Snow and Energy Balance Model for Zhadang
Glacier, Tibetan Plateau, Using Glaciological Measurements and Time-Lapse
Photography, Arct. Antarct. Alp. Res., 47, 573–590,
https://doi.org/10.1657/AAAR0014-073, 2015.
Jaña, R., Gonzalez, I., Arigony-Neto, J., Izaguirre, E., Schneider, C., Weidemann, S. S., and Temme, F.: Ablation Stake Measurements at Schiaparelli Glacier, Cordillera Darwin, Chile, 2013–2019, PANGAEA [data set], https://doi.org/10.1594/PANGAEA.958668, 2023.
Jarosch, A. H., Anslow, F. S., and Clarke, G. K. C.: High-resolution
precipitation and temperature downscaling for glacier models, Clim. Dynam.,
38, 391–409, https://doi.org/10.1007/s00382-010-0949-1, 2012.
Jiang, Q. and Smith, R. B.: Cloud timescales and orographic precipitation,
J. Atmos. Sci., 60, 1543–1559, https://doi.org/10.1175/2995.1, 2003.
Koch, J.: Little Ice Age and recent glacier advances in the Cordillera
Darwin, Tierra del Fuego, Chile, Anales del Instituto de la Patagonia, 43,
127–136, https://doi.org/10.4067/s0718-686x2015000100011, 2015.
Koppes, M., Hallet, B., and Anderson, J.: Synchronous acceleration of ice
loss and glacial erosion, Glaciar olocenli, chilean Tierra del Fuego, J. Glaciol., 55, 207–220, https://doi.org/10.3189/002214309788608796, 2009.
Lehning, M., Löwe, H., Ryser, M., and Raderschall, N.: Inhomogeneous
precipitation distribution and snow transport in steep terrain, Water Resour.
Res., 44, 1–19, https://doi.org/10.1029/2007WR006545, 2008.
Lenaerts, J. T. M., van den Broeke, M. R., van Wessem, J. M., van de Berg,
W. J., van Meijgaard, E., van Ulft, L. H., and Schaefer, M.: Extreme
precipitation and climate grolocenen patagonia revealed by high-resolution
regional atmospheric climate modeling, J. Climate, 27, 4607–4621,
https://doi.org/10.1175/JCLI-D-13-00579.1, 2014.
Lopez, P., Chevallier, P., Favier, V., Pouyaud, B., Ordenes, F., and
Oerlemans, J.: A regional view of fluctuations in glacier length in southern
South America, Global Planet. Change, 71, 85–108,
https://doi.org/10.1016/j.gloplacha.2009.12.009, 2010.
MacDougall, A. H. and Flowers, G. E.: Spatial and temporal transferability
of a distributed energy-balance glacier melt model, J. Climate, 24,
1480–1498, https://doi.org/10.1175/2010JCLI3821.1, 2011.
Machguth, H., Paul, F., Hoelzle, M., and Haeberli, W.: Distributed glacier mass-balance modelling as an important component of modern multi-level glacier monitoring, Ann. Glaciol., 43, 335–343, https://doi.org/10.3189/172756406781812285, 2006.
Masiokas, M. H., Rivera, A., Espizua, L. E., Villalba, R., Delgado, S., and
Aravena, J. C.: Glacier fluctuations in extratropical South America during
the past 1000 years, Palaeogeogr. Palaeocl., 281, 242–268,
https://doi.org/10.1016/j.palaeo.2009.08.006, 2009.
Meier, W. J. H., Grießinger, J., Hochreuther, P., and Braun, M. H.: An
updated multi-temporal glacier inventoolocenen patagonian andes with changes
between the little ice age and 2016, Front. Earth Sci., 6, 62,
https://doi.org/10.3389/feart.2018.00062, 2018.
Meier, W. J. H., Aravena, J. C., Grießinger, J., Hochreuther, P.,
Soto-Rogel, P., Zhu, H., de Pol-Holz, R., Schneider, C., and Braun,
Molocenete holocene glacial fluctuations of Schiaparelli Glacier at Monte
Sarmiento Massif, Tierra del Fuego (54∘ 24′s),
Geosciences, 9, 340, https://doi.org/10.3390/geosciences9080340, 2019.
Melkonian, A. K., Willis, M. J., Pritchard, M. E., Rivera, A., Bown, F., and Bernstein, S. A.: Satellite-derived volume loss rates and glacier speeds for the Cordillera Darwin Icefield, Chile, The Cryosphere, 7, 823–839, https://doi.org/10.5194/tc-7-823-2013, 2013.
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.
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.
Mölg, T., Cullen, N. J., Hardy, D. R., Winkler, M., and Kaser, G.:
Quantifying climate change in the tropical midtroposphere over East Africa
from glacier shrinkage on Kilimanjaro, J. Climate, 22, 4162–4181,
https://doi.org/10.1175/2009JCLI2954.1, 2009a.
Mölg, T., Cullen, N. J., and Kaser, G.: Solar radiation, cloudiness and
longwave radiation over low-latitude glaciers: Implications for mass-balance
modelling, J. Glaciol., 55, 292–302,
https://doi.org/10.3189/002214309788608822, 2009b.
Mölg, T., Maussion, F., Yang, W., and Scherer, D.: The footprint of Asian monsoon dynamics in the mass and energy balance of a Tibetan glacier, The Cryosphere, 6, 1445–1461, https://doi.org/10.5194/tc-6-1445-2012, 2012.
Mott, R., Faure, F., Lehning, M., Löwe, H., Hynek, B., Michlmayer, G.,
Prokop, A., and Schöner, W.: Simulation of seasonal snow-cover
distribution for glacierized sites on Sonnblick, Austria, with the Alpine3D
model, Ann. Glaciol., 49, 155–160,
https://doi.org/10.3189/172756408787814924, 2008.
Mutz, S. G. and Aschauer, J.: Empirical glacier mass-balance models for
South America, J. Glaciol., 68, 1–15, https://doi.org/10.1017/jog.2022.6, 2022.
Netto, G., Arigony-Neto, J., Jaña, R., Gonzalez, On, Schneider, C., and Temme, F.: Ablation Measurements at Schiaparelli Glacier, Cordillera Darwin, Chile, with an automatic ablation sensor, 2016–2017, PANGAEA [data set], https://doi.org/10.1594/PANGAEA.958623, 2023.
Oerlemans, J.: Glaciers and climate change, A.A. Balkema Publishers, Dordrecht, 2001.
Oerlemans, J. and Knap, W. H.: A 1 year record of global radiation and
albedo in the ablation zone of Morteratschgletscher, Switzerland, J. Glaciol.,
44, 231–238, https://doi.org/10.1017/S0022143000002574, 1998.
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, J. Glaciol., 51, 573–587,
https://doi.org/10.3189/172756505781829124, 2005.
Pellicciotti, F., Helbing, J., Rivera, A., Favier, V., Corripio, J., Araos,
J., Sicart, J.-E., and Carenzo, M.: A study of the energy balance and melt
regime on Juncal Norte Glacier, semi-arid Andes of central Chile, using melt
models of different complexity, Hydrol. Process., 22, 3980–3997, https://doi.org/10.1002/hyp.7085, 2008.
Petersen, L., Pellicciotti, F., Juszak, I., Carenzo, M., and Brock, B.:
Suitability of a constant air temperature lapse rate over an Alpine glacier:
testing the Greuell and Böhm model as an alternative, Ann. Glaciol., 54,
120–130, https://doi.org/10.3189/2013AoG63A477, 2013.
Pollard, D., Chang, W., Haran, M., Applegate, P., and DeConto, R.: Large ensemble modeling of the last deglacial retreat of the West Antarctic Ice Sheet: comparison of simple and advanced statistical techniques, Geosci. Model Dev., 9, 1697–1723, https://doi.org/10.5194/gmd-9-1697-2016, 2016.
Porter, C. and Santana, A.: Rapid 20th Century Retreat of Ventisquero
Marinelli in the Cordillera Darwin Icefield, Anales del Instituto de la
Patagonia, 31, 17–26, 2003.
Rada, C. and Martinez, N.: UNCHARTED: Cordillera Darwin v0.98,
figshare, https://doi.org/10.6084/m9.figshare.19246140.v1, 2022.
Rasmussen, R., Baker, B., Kochendorfer, J., Meyers, T., Landolt, S.,
Fischer, A.P., Black, J., Thériault, J.M., Kucera, P., Gochis, D.,
Smith, C., Nitu, R., Hall, M., Ikeda, K., and Gutmann, E.: How Well Are We
Measuring Snow: The NOAA/FAA/NCAR Winter Precipitation Test Bed, B. Am.
Meteorol. Soc., 93, 811–829, https://doi.org/10.1175/BAMS-D-11-00052.1, 2012.
Réveillet, M., Vincent, C., Six, D., and Rabatel, A.: Which empirical
model is best suited to simulate glacier mass balances?, J. Glaciol., 63,
39–54, https://doi.org/10.1017/jog.2016.110, 2017.
Rignot, E., Rivera, A., and Casassa, G.: Contribution of the Patagonia
Icefields of South America to Sea Level Rise, Science, 302, 434–437,
https://doi.org/10.1126/science.1087393, 2003.
Rott, H., Müller, F., Nagler, T., and Floricioiu, D.: The imbalance of glaciers after disintegration of Larsen-B ice shelf, Antarctic Peninsula, The Cryosphere, 5, 125–134, https://doi.org/10.5194/tc-5-125-2011, 2011.
Rounce, D. R., Khurana, T., Short, M. B., Hock, R., Shean, D. E., and Brinkerhoff, D. J.:
Quantifying parameter uncertainty in a largescale 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.
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.
Sauter, T. and Galos, S. P.: Effects of local advection on the spatial sensible heat flux variation on a mountain glacier, The Cryosphere, 10, 2887–2905, https://doi.org/10.5194/tc-10-2887-2016, 2016.
Sauter, T., Arndt, A., and Schneider, C.: COSIPY v1.3 – an open-source coupled snowpack and ice surface energy and mass balance model, Geosci. Model Dev., 13, 5645–5662, https://doi.org/10.5194/gmd-13-5645-2020, 2020.
Schaefer, M., Machguth, H., Falvey, M., and Casassa, G.: Modeling past and
future surface mass balance of the Northern Patagonia Icefield, J. Geophys.
Res.-Earth, 118, 571–588, https://doi.org/10.1002/jgrf.20038, 2013.
Schaefer, M., Machguth, H., Falvey, M., Casassa, G., and Rignot, E.: Quantifying mass balance processes on the Southern Patagonia Icefield, The Cryosphere, 9, 25–35, https://doi.org/10.5194/tc-9-25-2015, 2015.
Schneider, C., Glaser, M., Kilian, R., Santana, A., Butorovic, N., and
Casassa, G.: Weather Observations Across the Southern Andes at 53∘
S, Phys. Geogr., 24, 97–119, https://doi.org/10.2747/0272-3646.24.2.97, 2003.
Schneider, C., Kilian, R., and Glaser, M.: Energy balance in the ablation
zone during the summer season at the Gran Campo Nevado Ice Cap in the
Southern Andes, Global Planet. Change, 59, 175–188,
https://doi.org/10.1016/j.gloplacha.2006.11.033, 2007.
Schneider, C., Langhamer, L., Weidemann, S. S., and Temme, F.: Meteorological Observations at Schiaparelli Glacier Automatic Weather Station (AWSrock), Cordillera Darwin, Chile, 2015–2020, PANGAEA [data set], https://doi.org/10.1594/PANGAEA.956569, 2023.
Schuler, T. v., Crochet, P., Hock, R., Jackson, M., Barstad, I., and
Jóhannesson, T.: Distribution of snow accumulation on the Svartisen ice
cap, Norway, assessed by a model of orographic precipitation, Hydrol. Process., 22, 3998–4008, https://doi.org/10.1002/hyp.7073, 2008.
Seehaus, T., Marinsek, S., Helm, V., Skvarca, P., and Braun, M.: Changes in
ice dynamics, elevation and mass discharge of
Dinsmoor–Bombardier–Edgeworth glacier system, Antarctic Peninsula, Earth
Planet. Sc. Lett., 427, 125–135, https://doi.org/10.1016/j.epsl.2015.06.047,
2015.
Seehaus, T., Cook, A. J., Silva, A. B., and Braun, M.: Changes in glacier dynamics in the northern Antarctic Peninsula since 1985, The Cryosphere, 12, 577–594, https://doi.org/10.5194/tc-12-577-2018, 2018.
Seehaus, T., Malz, P., Sommer, C., Lippl, S., Cochachin, A., and Braun, M.: Changes of the tropical glaciers throughout Peru between 2000 and 2016 – mass balance and area fluctuations, The Cryosphere, 13, 2537–2556, https://doi.org/10.5194/tc-13-2537-2019, 2019.
Shaw, T. E., Brock, B. W., Fyffe, C. L., Pellicciotti, F., Rutter, N., and
Diotri, F.: Air temperature distribution and energy-balance modelling of a
debris-covered glacier, J. Glaciol., 62, 185–198,
https://doi.org/10.1017//jog.2016.31, 2016.
Shen, Y., Shen, Y., Goetz, J., and Brenning, A.: Spatial-temporal variation
of near-surface temperature lapse rates over the Tianshan Mountains, central
Asia, J. Geophys. Res.-Atmos., 121, 14006–14017,
https://doi.org/10.1002/2016JD025711, 2016.
Six, D., Wagnon, P., Sicart, J. E., and Vincent, C.: Meteorological controls
on snow and ice ablation for two contrasting months on Glacier de
Saint-Sorlin, France, Ann. Glaciol., 50, 66–72,
https://doi.org/10.3189/172756409787769537, 2009.
Smith, R. B. and Barstad, I.: A linear theory of orographic precipitation, J. Atmos. Sci., 61, 1377–1391,
https://doi.org/10.1175/1520-0469(2004)061<1377:ALTOOP>2.0.CO;2, 2004.
Smith, R. B. and Evans, J. P.: Orographic precipitation and water vapor
fractionation over the southern Andes, J. Hydrometeorol., 8, 3–19,
https://doi.org/10.1175/JHM555.1, 2007.
Strelin, J. and Iturraspe, R.: Recent evolution and mass balance of
Cordón Martial glaciers, Cordillera Fueguina Oriental, Global Planet. Change, 59, 17–26, https://doi.org/10.1016/j.gloplacha.2006.11.019, 2007.
Strelin, J., Casassa, G., Rosqvist, G., and Holmlund, P.: Holocene
glaciations in the Ema Glacier valley, Monte Sarmiento Massif, Tierra del
Fuego, Palaeogeogr. Palaeocl., 260, 299–314,
https://doi.org/10.1016/j.palaeo.2007.12.002, 2008.
Strozzi, T., Luckman, A., Murray, T., Wegmuller, U., and Werner, C. L.:
Glacier motion estimation using SAR offset-tracking procedures,
IEEE T. Geosci. Remote, 40, 2384–2391, https://doi.org/10.1109/TGRS.2002.805079, 2002.
Stuefer, M., Rott, H., and Skvarca, P.: Glaciar Perito Moreno, Patagonia:
Climate sensitivities and glacier characteristics preceding the 2003/04 and
2005/06 damming events, J. Glaciol., 53, 3–16,
https://doi.org/10.3189/172756507781833848, 2007.
Sommer, C., Malz, P., Seehaus, T. C., Lippl, S., Zemp, M., and Braun, M. H.: Rapid glacier retreat and downwasting throughout the European Alps in the early 21st century, Nat. Commun. 11, 3209, https://doi.org/10.1038/s41467-020-16818-0, 2020.
Temme, F.: positive-deg-day-model v1.0 (v1.0), Zenodo [code], https://doi.org/10.5281/zenodo.8009967, 2023a.
Temme, F.: simplified-energy-balance-model v1.0 (v1.0), Zenodo [code], https://doi.org/10.5281/zenodo.8009978, 2023b.
Temme, F., Turton, J. V., Mölg, T., and Sauter, T.: Flow regimes and
Föhn types characterize the local climate of Southern Patagonia,
Atmosphere, 11, 899, https://doi.org/10.3390/ATMOS11090899, 2020.
Temme, F., Farías-Barahona, D., Seehaus, T., Jaña, R., Arigony-Neto, J., Gonzalez, I., Arndt, A., Sauter, T., Schneider, C., and Fürst, J. J.: Surface mass balance of the Monte Sarmiento Massif (2000–2022), Tierra del Fuego, Chile, Zenodo [data set], https://doi.org/10.5281/zenodo.7798666, 2023.
van Pelt, W. J. J., Oerlemans, J., Reijmer, C. H., Pohjola, V. A., Pettersson, R., and van Angelen, J. H.: Simulating melt, runoff and refreezing on Nordenskiöldbreen, Svalbard, using a coupled snow and energy balance model, The Cryosphere, 6, 641–659, https://doi.org/10.5194/tc-6-641-2012, 2012.
Villalba, R., Lara, A., Boninsegna, J. A., Masiokas, M., Delgado, S.,
Aravena, J. C., Roig, F. A., Schmelter, A., Wolodarsky, A., and Ripalta, A.:
Large-Scale Temperature Changes Across the Southern Andes: 20th-Century
Variations in the Context of the Past 400 Years, in: Climate Variability and Change in High Elevation Regions: Past, Present & Future. Advances in Global Change Research, vol. 15, edited by: Diaz, H. F., Springer, Dordrecht, 177–232,
https://doi.org/10.1007/978-94-015-1252-7_10, 2003.
Warscher, M., Strasser, U., Kraller, G., Marke, T., Franz, H., and
Kunstmann, H.: Performance of complex snow cover descriptions in a
distributed hydrological model system: A case study for the high Alpine
terrain of the Berchtesgaden Alps, Water Resour. Res., 49, 2619–2637,
https://doi.org/10.1002/wrcr.20219, 2013.
Weidemann, S., Sauter, T., Schneider, L., and Schneider, C.: Impact of two
conceptual precipitation downscaling schemes on mass-balance modeling of
Gran Campo Nevado ice cap, Patagonia, J. Glaciol., 59, 1106–1116,
https://doi.org/10.3189/2013JoG13J046, 2013.
Weidemann, S. S., Sauter, T., Malz, P., Jaña, R., Arigony-Neto, J.,
Casassa, G., and Schneider, C.: Glacier mass changes of lake-terminating
grey and tyndall glaciers at the southern patagonia icefield derived from
geodetic observations and energy and mass balance modeling, Front. Earth Sci.,
6, 1–16, https://doi.org/10.3389/feart.2018.00081, 2018a.
Weidemann, S., Sauter, T., Kilian, R., Steger, D., Butorovic, N., and
Schneider, C.: A 17-year Record of Meteorological Observations Across the Gran
Campo Nevado Ice Cap in Southern Patagonia, Chile, Related to Synoptic
Weather Types and Climate Modes, Front. Earth Sci., 6, 53,
https://doi.org/10.3389/feart.2018.00053, 2018b.
Weidemann, S. S., Arigony-Neto, J., Jaña, R., Netto, G., Gonzalez, I.,
Casassa, G., and Schneider, C.: Recent climatic mass balance of the
schiaparelli glacier at the monte sarmiento massif and reconstruction of
little ice age climate by simulating steady-state glacier conditions,
Geosciences, 10, 1–17, https://doi.org/10.3390/geosciences10070272, 2020.
Willis, M. J., Melkonian, A. K., Pritchard, M. E., and Rivera, A.: Ice loss
from the Southern Patagonian Ice Field, South America, between 2000 and
2012, Geophys. Res. Lett., 39, 1–6, https://doi.org/10.1029/2012GL053136,
2012.
Winstral, A. and Marks, D.: Simulating wind fields and snow redistribution
using terrain-based parameters to model snow accumulation and melt over a
semi-arid mountain catchment, Hydrol. Process., 16, 3585–3603,
https://doi.org/10.1002/hyp.1238, 2002.
Ziemen, F. A., Hock, R., Aschwanden, A., Khroulev, C., Kienholz, C.,
Melkonian, A., and Zhang, J.: Modeling the evolution of the Juneau Icefield
between 1971 and 2100 using the Parallel Ice Sheet Model (PISM), J. Glaciol.,
62, 199–214, https://doi.org/10.1017/jog.2016.13, 2016.
Zolles, T., Maussion, F., Galos, S. P., Gurgiser, W., and Nicholson, L.: Robust uncertainty assessment of the spatio-temporal transferability of glacier mass and energy balance models, The Cryosphere, 13, 469–489, https://doi.org/10.5194/tc-13-469-2019, 2019.
Short summary
Calibration of surface mass balance (SMB) models on regional scales is challenging. We investigate different calibration strategies with the goal of achieving realistic simulations of the SMB in the Monte Sarmiento Massif, Tierra del Fuego. Our results show that the use of regional observations from satellite data can improve the model performance. Furthermore, we compare four melt models of different complexity to understand the benefit of increasing the processes considered in the model.
Calibration of surface mass balance (SMB) models on regional scales is challenging. We...