Articles | Volume 16, issue 12
https://doi.org/10.5194/essd-16-5799-2024
© 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/essd-16-5799-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
20 Dec 2024
Data description paper |
| 20 Dec 2024
| 20 Dec 2024
Ice thickness and bed topography of Jostedalsbreen ice cap, Norway
Mette K. Gillespie
CORRESPONDING AUTHOR
Department of Civil Engineering and Environmental Sciences, Western Norway University of Applied Sciences, Sogndal, 6856, Norway
Liss M. Andreassen
Section for Glaciers, Ice and Snow, Norwegian Water Resources and Energy Directorate (NVE), Oslo, 0301, Norway
Matthias Huss
Laboratory of Hydraulics, Hydrology and Glaciology (VAW), ETH Zurich, Zurich, 8092, Switzerland
Swiss Federal Institute for Forest, Snow and Landscape Research (WSL), Birmensdorf, 8903, Switzerland
Department of Geosciences, University of Fribourg, Fribourg, 1700, Switzerland
Simon de Villiers
Department of Civil Engineering and Environmental Sciences, Western Norway University of Applied Sciences, Sogndal, 6856, Norway
Kamilla H. Sjursen
Department of Civil Engineering and Environmental Sciences, Western Norway University of Applied Sciences, Sogndal, 6856, Norway
Jostein Aasen
Section for Glaciers, Ice and Snow, Norwegian Water Resources and Energy Directorate (NVE), Oslo, 0301, Norway
Jostein Bakke
Department of Earth Science and the Bjerknes Centre for Climate Research, University of Bergen, Bergen, 5020, Norway
Jan M. Cederstrøm
Department of Earth Science and the Bjerknes Centre for Climate Research, University of Bergen, Bergen, 5020, Norway
Hallgeir Elvehøy
Section for Glaciers, Ice and Snow, Norwegian Water Resources and Energy Directorate (NVE), Oslo, 0301, Norway
Bjarne Kjøllmoen
Section for Glaciers, Ice and Snow, Norwegian Water Resources and Energy Directorate (NVE), Oslo, 0301, Norway
Even Loe
Statkraft, Gaupne, 6868, Norway
Marte Meland
Breheimsenteret, Jostedalen, 6871, Norway
Kjetil Melvold
Section for Glaciers, Ice and Snow, Norwegian Water Resources and Energy Directorate (NVE), Oslo, 0301, Norway
Sigurd D. Nerhus
Department of Civil Engineering and Environmental Sciences, Western Norway University of Applied Sciences, Sogndal, 6856, Norway
Torgeir O. Røthe
Department of Civil Engineering and Environmental Sciences, Western Norway University of Applied Sciences, Sogndal, 6856, Norway
Eivind W. N. Støren
Department of Earth Science and the Bjerknes Centre for Climate Research, University of Bergen, Bergen, 5020, Norway
COWI, Bergen, 5824, Norway
Kåre Øst
Norgesguidene, Jostedalen, 6871, Norway
Jacob C. Yde
Department of Civil Engineering and Environmental Sciences, Western Norway University of Applied Sciences, Sogndal, 6856, Norway
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Manuscript not accepted for further review
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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
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Erik Schytt Mannerfelt, Amaury Dehecq, Romain Hugonnet, Elias Hodel, Matthias Huss, Andreas Bauder, and Daniel Farinotti
The Cryosphere, 16, 3249–3268, https://doi.org/10.5194/tc-16-3249-2022, https://doi.org/10.5194/tc-16-3249-2022, 2022
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Earth Syst. Sci. Data, 14, 3293–3312, https://doi.org/10.5194/essd-14-3293-2022, https://doi.org/10.5194/essd-14-3293-2022, 2022
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Glacier monitoring in Switzerland started in the 19th century, providing exceptional data series documenting snow accumulation and ice melt. Raw point observations of surface mass balance have, however, never been systematically compiled so far, including complete metadata. Here, we present an extensive dataset with more than 60 000 point observations of surface mass balance covering 60 Swiss glaciers and almost 140 years, promoting a better understanding of the drivers of recent glacier change.
Tim Steffen, Matthias Huss, Rebekka Estermann, Elias Hodel, and Daniel Farinotti
Earth Surf. Dynam., 10, 723–741, https://doi.org/10.5194/esurf-10-723-2022, https://doi.org/10.5194/esurf-10-723-2022, 2022
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Climate change is rapidly altering high-alpine landscapes. The formation of new lakes in areas becoming ice free due to glacier retreat is one of the many consequences of this process. Here, we provide an estimate for the number, size, time of emergence, and sediment infill of future glacier lakes that will emerge in the Swiss Alps. We estimate that up to ~ 680 potential lakes could form over the course of the 21st century, with the potential to hold a total water volume of up to ~ 1.16 km3.
Loris Compagno, Matthias Huss, Evan Stewart Miles, Michael James McCarthy, Harry Zekollari, Amaury Dehecq, Francesca Pellicciotti, and Daniel Farinotti
The Cryosphere, 16, 1697–1718, https://doi.org/10.5194/tc-16-1697-2022, https://doi.org/10.5194/tc-16-1697-2022, 2022
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We present a new approach for modelling debris area and thickness evolution. We implement the module into a combined mass-balance ice-flow model, and we apply it using different climate scenarios to project the future evolution of all glaciers in High Mountain Asia. We show that glacier geometry, volume, and flow velocity evolve differently when modelling explicitly debris cover compared to glacier evolution without the debris-cover module, demonstrating the importance of accounting for debris.
Iwo Wieczorek, Mateusz Czesław Strzelecki, Łukasz Stachnik, Jacob Clement Yde, and Jakub Małecki
The Cryosphere Discuss., https://doi.org/10.5194/tc-2021-364, https://doi.org/10.5194/tc-2021-364, 2022
Manuscript not accepted for further review
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Glacial lakes development around the World has been observed since the end of the Little Ice Age. The whole process is especially rapid in Arctic region what shows last researches. One of the last regions which still has not been covered by data about changes of glacial lakes is the Svalbard Archipelago (Norway). We used remote sensing materials and methods to provide information's about changes of glacial lakes and to show major activity of glacial lakes outburst floods.
Christophe Ogier, Mauro A. Werder, Matthias Huss, Isabelle Kull, David Hodel, and Daniel Farinotti
The Cryosphere, 15, 5133–5150, https://doi.org/10.5194/tc-15-5133-2021, https://doi.org/10.5194/tc-15-5133-2021, 2021
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Glacier-dammed lakes are prone to draining rapidly when the ice dam breaks and constitute a serious threat to populations downstream. Such a lake drainage can proceed through an open-air channel at the glacier surface. In this study, we present what we believe to be the most complete dataset to date of an ice-dammed lake drainage through such an open-air channel. We provide new insights for future glacier-dammed lake drainage modelling studies and hazard assessments.
Johannes Marian Landmann, Hans Rudolf Künsch, Matthias Huss, Christophe Ogier, Markus Kalisch, and Daniel Farinotti
The Cryosphere, 15, 5017–5040, https://doi.org/10.5194/tc-15-5017-2021, https://doi.org/10.5194/tc-15-5017-2021, 2021
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In this study, we (1) acquire real-time information on point glacier mass balance with autonomous real-time cameras and (2) assimilate these observations into a mass balance model ensemble driven by meteorological input. For doing so, we use a customized particle filter that we designed for the specific purposes of our study. We find melt rates of up to 0.12 m water equivalent per day and show that our assimilation method has a higher performance than reference mass balance models.
Trude Eidhammer, Adam Booth, Sven Decker, Lu Li, Michael Barlage, David Gochis, Roy Rasmussen, Kjetil Melvold, Atle Nesje, and Stefan Sobolowski
Hydrol. Earth Syst. Sci., 25, 4275–4297, https://doi.org/10.5194/hess-25-4275-2021, https://doi.org/10.5194/hess-25-4275-2021, 2021
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We coupled a detailed snow–ice model (Crocus) to represent glaciers in the Weather Research and Forecasting (WRF)-Hydro model and tested it on a well-studied glacier. Several observational systems were used to evaluate the system, i.e., satellites, ground-penetrating radar (used over the glacier for snow depth) and stake observations for glacier mass balance and discharge measurements in rivers from the glacier. Results showed improvements in the streamflow projections when including the model.
Trevor R. Hillebrand, John O. Stone, Michelle Koutnik, Courtney King, Howard Conway, Brenda Hall, Keir Nichols, Brent Goehring, and Mette K. Gillespie
The Cryosphere, 15, 3329–3354, https://doi.org/10.5194/tc-15-3329-2021, https://doi.org/10.5194/tc-15-3329-2021, 2021
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We present chronologies from Darwin and Hatherton glaciers to better constrain ice sheet retreat during the last deglaciation in the Ross Sector of Antarctica. We use a glacier flowband model and an ensemble of 3D ice sheet model simulations to show that (i) the whole glacier system likely thinned steadily from about 9–3 ka, and (ii) the grounding line likely reached the Darwin–Hatherton Glacier System at about 3 ka, which is ≥3.8 kyr later than was suggested by previous reconstructions.
Hannah R. Field, William H. Armstrong, and Matthias Huss
The Cryosphere, 15, 3255–3278, https://doi.org/10.5194/tc-15-3255-2021, https://doi.org/10.5194/tc-15-3255-2021, 2021
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The growth of a glacier lake alters the hydrology, ecology, and glaciology of its surrounding region. We investigate modern glacier lake area change across northwestern North America using repeat satellite imagery. Broadly, we find that lakes downstream from glaciers grew, while lakes dammed by glaciers shrunk. Our results suggest that the shape of the landscape surrounding a glacier lake plays a larger role in determining how quickly a lake changes than climatic or glaciologic factors.
Loris Compagno, Sarah Eggs, Matthias Huss, Harry Zekollari, and Daniel Farinotti
The Cryosphere, 15, 2593–2599, https://doi.org/10.5194/tc-15-2593-2021, https://doi.org/10.5194/tc-15-2593-2021, 2021
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Recently, discussions have focused on the difference in limiting the increase in global average temperatures to below 1.0, 1.5, or 2.0 °C compared to preindustrial levels. Here, we assess the impacts that such different scenarios would have on both the future evolution of glaciers in the European Alps and the water resources they provide. Our results show that the different temperature targets have important implications for the changes predicted until 2100.
Rebecca Gugerli, Matteo Guidicelli, Marco Gabella, Matthias Huss, and Nadine Salzmann
Adv. Sci. Res., 18, 7–20, https://doi.org/10.5194/asr-18-7-2021, https://doi.org/10.5194/asr-18-7-2021, 2021
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To obtain reliable snowfall estimates in high mountain remains a challenge. This study uses daily snow water equivalent (SWE) estimates by a cosmic ray sensor on two Swiss glaciers to assess three
readily-available high-quality precipitation products. We find a large bias between in situ SWE and snowfall, which differs among the precipitation products, the two sites, the winter seasons and in situ meteorological conditions. All products have great potential for various applications in the Alps.
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
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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.
Cited articles
Åkesson, H., Nisancioglu, K. H., Giesen, R. H., and Morlighem, M.: Simulating the evolution of Hardangerjøkulen ice cap in southern Norway since the mid-Holocene and its sensitivity to climate change, The Cryosphere, 11, 281–302, https://doi.org/10.5194/tc-11-281-2017, 2017.
Andreassen, L. M., Elvehøy, H., Kjøllmoen, B., Engeset, R. V. and Haakensen, N.: Glacier mass balance and length variation in Norway, Ann. Glaciol., 42, 317–325, https://doi.org/10.3189/172756405781812826, 2005.
Andreassen, L. M., Melvold, K., Nordli, Ø., Nordli, Ø., and Rasmussen, A.: Langfjordjøkelen, a rapidly shrinking glacier in northern Norway, J. Glaciol., 58, 581–593, https://doi.org/10.3189/2012JoG11J014, 2012a.
Andreassen, L. M., Winsvold, S. H., Paul, F., and Hausberg, J. E.: Inventory of Norwegian Glaciers, NVE Report, 38-2012, Norwegian Water Resources and Energy Directorate, Oslo, Norway, ISBN 978-82-410-0826-9, 2012b.
Andreassen, L. M., Elvehøy, H., Huss, M., Melvold, K., and Winsvold, S. H.: Ice thickness measurements and volume estimates for glaciers in Norway, J. Glaciol., 61, 763–775, https://doi.org/10.3189/2015JoG14J161, 2015.
Andreassen, L. M., Nagy, T., Kjøllmoen, B., and Leigh, J. R.: An inventory of Norway's glaciers and ice-marginal lakes from 2018–19 Sentinel-2 data, J. Glaciol., 68, 1085–1106, https://doi.org/10.1017/jog.2022.20, 2022.
Andreassen, L. M., Carrivick, J. L., Elvehøy, H., Kjøllmoen, B., Robson, B. A., and Sjursen, K. H.: Spatio-temporal variability in geometry and geodetic mass balance of Jostedalsbreen ice cap, Norway, Ann. Glaciol., 64, 26–43, https://doi.org/10.1017/aog.2023.70, 2023.
Binder, D., Brückl, E., Roch, K. H., Behm, M., Schöner, W., and Hynek, B.: Determination of total ice volume and ice-thickness distribution of two glaciers in the Hohe Tauern region, Eastern Alps, from GPR data, Ann. Glaciol., 50, 71–79, https://doi.org/10.3189/172756409789097522, 2009.
Carrivick, J. L., Andreassen, L. M., Nesje, A., and Yde, J. C.: A reconstruction of Jostedalsbreen during the Little Ice Age and geometric changes to outlet glaciers since then, Quaternary Sci. Rev., 284, 107501, https://doi.org/10.1016/j.quascirev.2022.107501, 2022.
Dowdeswell, J. A. and Evans, S.: Investigations of the form and flow of ice sheets and glaciers using radio-echo sounding, Rep. Prog. Phys., 67, 1821, https://doi.org/10.1088/0034-4885/67/10/R03, 2004.
Engen, S. H., Gjerde, M., Scheiber, T., Seier, G., Elvehøy, H., Abermann, J., Nesje, A., Winkler, S., Haualand, K. F., Rüther, D. C., Maschler, A., Robson, B. A., and Yde, J. C.: Investigation of the 2010 rock avalanche onto the regenerated glacier Brenndalsbreen, Norway, Landslides, 21, 2051–2072, https://doi.org/10.1007/s10346-024-02275-z, 2024.
Engeset, R. V., Jackson, M., and Schuler, T. V.: Analysis of the first jökulhlaup at Blåmannsisen, northern Norway, and implications for future events, Ann. Glaciol., 42, 35–41, https://doi.org/10.3189/172756405781812600, 2005.
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., Brinkerhoff, D. J., Clarke, G. K. C., Fürst, J. J., Frey, H., Gantayat, P., Gillet-Chaulet, F., Girard, C., Huss, M., Leclercq, P. W., Linsbauer, A., Machguth, H., Martin, C., Maussion, F., Morlighem, M., Mosbeux, C., Pandit, A., Portmann, A., Rabatel, A., Ramsankaran, R., Reerink, T. J., Sanchez, O., Stentoft, P. A., Singh Kumari, S., van Pelt, W. J. J., Anderson, B., Benham, T., Binder, D., Dowdeswell, J. A., Fischer, A., Helfricht, K., Kutuzov, S., Lavrentiev, I., McNabb, R., Gudmundsson, G. H., Li, H., and Andreassen, L. M.: How accurate are estimates of glacier ice thickness? Results from ITMIX, the Ice Thickness Models Intercomparison eXperiment, The Cryosphere, 11, 949–970, https://doi.org/10.5194/tc-11-949-2017, 2017.
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.
Farinotti, D., Brinkerhoff, D. J., Fürst, J. J., Gantayat, P., Gillet-Chaulet, F., Huss, M., Leclercq, P. W., Maurer, H., Morlighem, M., Pandit, A., Rabatel, A., Ramsankaran, R., Reerink, T. J., Robo, E., Rouges, E., Tamre, E., van Pelt, W. J. J. Werder, M. A., Azam, M. F., Li, H., and Andreassen, L. M.: Results from the ice thickness models intercomparison experiment phase 2 (ITMIX2), Front. Earth Sci., 8, 571923, https://doi.org/10.3389/feart.2020.571923, 2021.
Fischer, A.: Calculation of glacier volume from sparse ice-thickness data, applied to Schaufelferner, Austria, J. Glaciol., 55, 453–460, https://doi.org/10.3189/002214309788816740, 2009.
Flowers, G. E. and Clarke, G. K. C.: Surface and bed topography of Trapridge Glacier, Yukon Territory, Canada: digital elevation models and derived hydraulic geometry, J. Glaciol., 45, 165–174, https://doi.org/10.3189/S0022143000003142, 1999.
Frank, T. and van Pelt, W. J. J.: Ice volume and thickness of all Scandinavian glaciers and ice caps, J. Glaciol., 1–14, https://doi.org/10.1017/jog.2024.25, online first, 2024.
Frank, T., van Pelt, W. J. J., and Kohler, J.: Reconciling ice dynamics and bed topography with a versatile and fast ice thickness inversion, The Cryosphere, 17, 4021–4045, https://doi.org/10.5194/tc-17-4021-2023, 2023.
Frémand, A. C., Fretwell, P., Bodart, J. A., Pritchard, H. D., Aitken, A., Bamber, J. L., Bell, R., Bianchi, C., Bingham, R. G., Blankenship, D. D., Casassa, G., Catania, G., Christianson, K., Conway, H., Corr, H. F. J., Cui, X., Damaske, D., Damm, V., Drews, R., Eagles, G., Eisen, O., Eisermann, H., Ferraccioli, F., Field, E., Forsberg, R., Franke, S., Fujita, S., Gim, Y., Goel, V., Gogineni, S. P., Greenbaum, J., Hills, B., Hindmarsh, R. C. A., Hoffman, A. O., Holmlund, P., Holschuh, N., Holt, J. W., Horlings, A. N., Humbert, A., Jacobel, R. W., Jansen, D., Jenkins, A., Jokat, W., Jordan, T., King, E., Kohler, J., Krabill, W., Kusk Gillespie, M., Langley, K., Lee, J., Leitchenkov, G., Leuschen, C., Luyendyk, B., MacGregor, J., MacKie, E., Matsuoka, K., Morlighem, M., Mouginot, J., Nitsche, F. O., Nogi, Y., Nost, O. A., Paden, J., Pattyn, F., Popov, S. V., Rignot, E., Rippin, D. M., Rivera, A., Roberts, J., Ross, N., Ruppel, A., Schroeder, D. M., Siegert, M. J., Smith, A. M., Steinhage, D., Studinger, M., Sun, B., Tabacco, I., Tinto, K., Urbini, S., Vaughan, D., Welch, B. C., Wilson, D. S., Young, D. A., and Zirizzotti, A.: Antarctic Bedmap data: Findable, Accessible, Interoperable, and Reusable (FAIR) sharing of 60 years of ice bed, surface, and thickness data, Earth Syst. Sci. Data, 15, 2695–2710, https://doi.org/10.5194/essd-15-2695-2023, 2023.
Fürst, J. J., Gillet-Chaulet, F., Benham, T. J., Dowdeswell, J. A., Grabiec, M., Navarro, F., Pettersson, R., Moholdt, G., Nuth, C., Sass, B., Aas, K., Fettweis, X., Lang, C., Seehaus, T., and Braun, M.: Application of a two-step approach for mapping ice thickness to various glacier types on Svalbard, The Cryosphere, 11, 2003–2032, https://doi.org/10.5194/tc-11-2003-2017, 2017.
Gärtner-Roer, I., Naegeli, K., Huss, M., Knecht, T., Machguth, H., and Zemp, M.: A database of worldwide glacier thickness observations, Global Planet. Change, 122, 330–344, https://doi.org/10.1016/j.gloplacha.2014.09.003, 2014.
Giesen, R. H. and Oerlemans, J.: Response of the ice cap Hardangerjøkulen in southern Norway to the 20th and 21st century climates, The Cryosphere, 4, 191–213, https://doi.org/10.5194/tc-4-191-2010, 2010.
Gillespie, M. K., Yde, J. C., Andresen, M. S., Citterio, M., and Gillespie, M. A. K.: Ice geometry and thermal regime of Lyngmarksbræen Ice Cap, West Greenland, J. Glaciol., 69, 2126–2138, https://doi.org/10.1017/jog.2023.89, 2023.
Gillespie, M. K., Andreassen, L. M., Huss, M., de Villiers, S., Sjursen, K. H., Aasen, J., Bakke, J., Cederstrøm, J. M., Elvehøy, H., Kjøllmoen, B., Loe, E., Meland, M., Melvold, K., Nerhus, S. D., Røthe, T. O., Støren, E. W. N., Øst, K., and Yde, J. C.: Jostedalsbreen ice thickness and bed topography, Norwegian Nasjonalt Vitenarkiv (NVA) [data set], https://doi.org/10.58059/yhwr-rx55, 2024.
GlaThiDa Consortium: Glacier Thickness Database 3.1.0, World Glacier Monitoring Service, Zurich, Switzerland, https://doi.org/10.5904/wgms-glathida-2020-10, 2020.
Glen, J. W.: The creep of polycrystalline ice, P. Roy. Soc. Lond. A-Math., 228, 519–538, https://doi.org/10.1098/rspa.1955.0066, 1955.
Grab, M., Mattea, E., Bauder, A., Huss, M., Rabenstein, L., Hodel, E., Linsbauer, A., Langhammer, L., Schmid, L., and Church, G.: Ice thickness distribution of all Swiss glaciers based on extended ground-penetrating radar data and glaciological modeling, J. Glaciol., 67, 1074–1092, https://doi.org/10.1017/jog.2021.55, 2021.
Hooke, R. L., Laumann, T., and Kennett, M. I.: Austdalsbreen, Norway: Expected reaction to a 40 m increase in water level in the lake into which the glacier calves, Cold Reg. Sci. Technol., 17, 2, https://doi.org/10.1016/S0165-232X(89)80002-3, 1989.
Huss, M. and Farinotti, D.: Distributed ice thickness and volume of all glaciers around the globe, J. Geophys. Res.-Earth, 117, F04010, https://doi.org/10.1029/2012JF002523, 2012.
Huss, M. and Farinotti, D.: A high-resolution bedrock map for the Antarctic Peninsula, The Cryosphere, 8, 1261–1273, https://doi.org/10.5194/tc-8-1261-2014, 2014.
Haakensen, N. and Wold, B.: Breheimen-Stryn: Undersøkelse av bunntopografi på Bødalsbreen, NVE Report, Norwegian Water Resources and Energy Directorate, Oslo, Norway, 17–86, ISBN 82-554-0479-1, 1986.
IPCC: Climate Change 2021: The Physical Science Basis, Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press, https://doi.org/10.1017/9781009157896, 2021.
Johansson, F. E., Bakke, J., Støren, E. N., Gillespie, M. K., and Laumann, T.: Mapping of the Subglacial Topography of Folgefonna Ice Cap in Western Norway – Consequences for Ice Retreat Patterns and Hydrological Changes, Front. Earth Sci., 10, 886361, https://doi.org/10.3389/feart.2022.886361, 2022.
Kennett, M.: Kartlegging av istykkelse og feltavgrensning på Spørteggbreen 1989, NVE Report, 15-1989, oppdragsrapport1989_15.pdf (nve.no), Norwegian Water Resources and Energy Directorate, Oslo, Norway, 1989.
Kennett, M.: Kartlegging av istykkelse og feltavgrensning på Blåmannsisen 1990, NVE Report, 8-1990 oppdragsrapport1990_08.pdf (nve.no), Norwegian Water Resources and Energy Directorate, Oslo, Norway, 1990.
Kjøllmoen, B., Andreassen, L.M. and Elvehøy H.: Glaciological investigations in Norway 2023, NVE Report, 22-2024, Norwegian Water Resources and Energy Directorate, Oslo, Norway, ISBN 978-82-410-2283-8, 2024.
Lapazaran, J. J., Martín-Español, A., Navarro, F. J., and Otero, J.: On the errors involved in ice-thickness estimates I: ground-penetrating radar measurement errors, J. Glaciol., 62, 1008–1020, https://doi.org/10.1017/jog.2016.93, 2016.
Laumann, T. and Nesje, A.: The impact of climate change on future frontal variations of Briksdalsbreen, western Norway, J. Glaciol., 55, 789–796, https://doi.org/10.3189/002214309790152366, 2009.
Laumann, T. and Nesje, A.: Spørteggbreen, western Norway, in the past, present and future: Simulations with a two-dimensional dynamical glacier model, Holocene, 24, 842–852, https://doi.org/10.1177/0959683614530446, 2014.
Laumann, T. and Wold, B.: Reactions of a calving glacier to large changes in water level, Ann. Glaciol., 16, 158–162, https://doi.org/10.3189/1992AoG16-1-158-162, 1992.
Lindbäck, K., Kohler, J., Pettersson, R., Nuth, C., Langley, K., Messerli, A., Vallot, D., Matsuoka, K., and Brandt, O.: Subglacial topography, ice thickness, and bathymetry of Kongsfjorden, northwestern Svalbard, Earth Syst. Sci. Data, 10, 1769–1781, https://doi.org/10.5194/essd-10-1769-2018, 2018.
Linsbauer, A., Paul, F., and Haeberli, W.: Modeling glacier thickness distribution and bed topography over entire mountain ranges with GlabTop: Application of a fast and robust approach, J. Geophys. Res.-Earth, 117, F03007, https://doi.org/10.1029/2011JF002313, 2012.
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.
Mingo, L. and Flowers, G. E.: An integrated lightweight ice-penetrating radar system, J. Glaciol., 56, 709–714, https://doi.org/10.3189/002214310793146179, 2010.
Morlighem, M., Williams, C. N., Rignot, E., An, L., Arndt, J. E., Bamber, J. L., Catania, G., Chauché, N., Dowdeswell, J. A., Dorschel, B., Fenty, I., Hogan, K., Howat, I., Hubbard, A., Jakobsson, M., Jordan, T. M., Kjeldsen, K. K., Millan, R., Mayer, L., Mouginot, J., Noël, B. P. Y., O'Cofaigh, C., Palmer, S., Rysgaard, S., Seroussi, H., Siegert, M. J., Slabon, P., Straneo, F., van den Broeke, M. R., Weinrebe, W., Wood, M., and Zinglersen, K. B.: BedMachine v3: Complete bed topography and ocean bathymetry mapping of Greenland from multibeam echo sounding combined with mass conservation, Geophys. Res. Lett., 44, 11051–11061, 10.1002/2017GL074954, 2017.
Navarro, F. and Eisen, O.: Ground-penetrating radar in glaciological applications, in: Remote sensing of glaciers: Techniques for topographic, spatial and thematic mapping of glaciers, Taylor & Francis London, 195–229, https://doi.org/10.1201/b10155, 2009.
Nesje, A., Johannessen, T., and Birks, H. J. B.: Briksdalsbreen, western Norway: climatic effects on the terminal response of a temperate glacier between AD 1901 and 1994, Holocene, 5, 343–347, https://doi.org/10.1177/095968369500500310, 1995.
Ogier, C., van Manen, D.-J., Maurer, H., Räss, L., Hertrich, M., Bauder, A., and Farinotti, D.: Ground penetrating radar in temperate ice: englacial water inclusions as limiting factor for data interpretation, J. Glaciol., 69, 1874–1885, https://doi.org/10.1017/jog.2023.68, 2023.
Østrem, G., Liestøl, O., and Wold, B.: Glaciological investigations at Nigardsbreen, Norway, Nor. Geogr. Tidsskr., 30, 187–209, https://doi.org/10.1080/00291957608552005, 1976.
Paul, F., Andreassen L. M., and Winsvold, S. H.: A new glacier inventory for the Jostedalsbreen region, Norway, from Landsat TM scenes of 2006 and changes since 1966, Ann. Glaciol., 52, 153–162, https://doi.org/10.3189/172756411799096169, 2011.
Pettersson, R., Christoffersen, P., Dowdeswell, J. A., Pohjola, V. A., Hubbard, A., and Strozzi, T.: Ice thickness and basal conditions of Vestfonna ice cap, eastern Svalbard, Geogr. Ann. A, 93, 311–322, https://doi.org/10.1111/j.1468-0459.2011.00438.x, 2011.
Plewes, L. A. and Hubbard, B.: A review of the use of radio-echo sounding in glaciology, Prog. Phys. Geogr., 25, 203–236, https://doi.org/10.1177/030913330102500203, 2001.
Rounce, D. R., Hock, R., Maussion, F., Hugonnet, R., Kochtitzky, W., Huss, M., Berthier, E., Brinkerhoff, D., Compagno, L., and Copland, L.: Global glacier change in the 21st century: Every increase in temperature matters, Science, 379, 78–83, https://doi.org/10.1126/science.abo1324, 2023.
Sætrang, A. C.: Istykkelsesmålinger med breradar på Austdalsbreen, Heli-Anlegg Report, 5–88, 1988.
Sætrang, A. C. and Holmqvist, E.: Kartlegging av istykkelse på nordre Jostedalsbreen, NVE Report, 8-1987, 1987.
Sætrang, A. C. and Wold, B.: Results from the radio echo-sounding on parts of the Jostedalsbreen ice cap, Norway, Ann. Glaciol., 8, 156–158, https://doi.org/10.3189/S026030550000135X, 1986.
Schlegel, R., Kulessa, B., Murray, T., and Eisen, O.: Towards a common terminology in radioglaciology, Ann. Glaciol., 63, 8–12, https://doi.org/10.1017/aog.2023.2, 2022.
Seier, G., Abermann, J., Andreassen, L. M., Carrivick, J. L., Kielland, P. H., Löffler, K., Nesje, A., Robson, B. A., Røthe, T. O., Scheiber, T., Winkler, S., and Yde, J. C.: Glacier thinning, recession and advance, and the associated evolution of a glacial lake between 1966 and 2021 at Austerdalsbreen, western Norway, Land. Degrad. Dev., 35, 394–414, https://doi.org/10.1002/ldr.4923, 2024.
Sellevold, M. and Kloster, K.: Seismic measurements on the glacier Hardangerjøkulen, Western Norway, Nor. Polarinst. Årb, 87–91, http://hdl.handle.net/11250/172801 (last access: 10 December 2024), 1964.
Smith, B. E. and Evans, S.: Radio echo sounding: absorption and scattering by water inclusion and ice lenses, J. Glaciol., 11, 133–146, https://doi.org/10.3189/S0022143000022541, 1972.
Sverrisson, M., Jóhannesson, Æ., and Björnsson, H.: Instruments and Methods: Radio-Echo Equipment for Depth Sounding of Temperate Glaciers, J. Glaciol., 25, 477–486, https://doi.org/10.3189/S0022143000015318, 1980.
Terratec: Laserskanning for nasjonal detaljert høydemodell, NDH Jostedalsbreen 2pkt (høydedata.no), https://hoydedata.no/LaserServices/REST/DownloadPDF.ashx?projectId=4706 (last access: 10 December 2024), 2020.
Welty, E., Zemp, M., Navarro, F., Huss, M., Fürst, J. J., Gärtner-Roer, I., Landmann, J., Machguth, H., Naegeli, K., Andreassen, L. M., Farinotti, D., Li, H., and GlaThiDa Contributors: Worldwide version-controlled database of glacier thickness observations, Earth Syst. Sci. Data, 12, 3039–3055, https://doi.org/10.5194/essd-12-3039-2020, 2020.
Yde, J. C., Gillespie, M. K., Løland, R., Ruud, H., Mernild, S. H., Villiers, S. D., Knudsen, N. T., and Malmros, J. K.: Volume measurements of Mittivakkat Gletscher, southeast Greenland, J. Glaciol., 60, 1199–1207, https://doi.org/10.3189/2014JoG14J047, 2014.
Short summary
We present an extensive ice thickness dataset from Jostedalsbreen ice cap that will serve as a baseline for future studies of regional climate-induced change. Results show that Jostedalsbreen currently (~2020) has a maximum ice thickness of ~630 m, a mean ice thickness of 154 ± 22 m and an ice volume of 70.6 ±10.2 km3. Ice of less than 50 m thickness covers two narrow regions of Jostedalsbreen, and the ice cap is likely to separate into three parts in a warming climate.
We present an extensive ice thickness dataset from Jostedalsbreen ice cap that will serve as a...
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