Articles | Volume 15, issue 7
https://doi.org/10.5194/tc-15-3135-2021
https://doi.org/10.5194/tc-15-3135-2021
Research article
 | 
08 Jul 2021
Research article |  | 08 Jul 2021

Twentieth century global glacier mass change: an ensemble-based model reconstruction

Jan-Hendrik Malles and Ben Marzeion

Related authors

Freshwater input from glacier melt outside Greenland alters modeled northern high-latitude ocean circulation
Jan-Hendrik Malles, Ben Marzeion, and Paul G. Myers
Earth Syst. Dynam., 16, 347–377, https://doi.org/10.5194/esd-16-347-2025,https://doi.org/10.5194/esd-16-347-2025, 2025
Short summary
Projecting the Response of Greenland's Peripheral Glaciers to Future Climate Change: Glacier Losses, Sea Level Impact, Freshwater Contributions, and Peak Water Timing
Muhammad Shafeeque, Jan-Hendrik Malles, Anouk Vlug, Marco Möller, and Ben Marzeion
EGUsphere, https://doi.org/10.5194/egusphere-2024-2184,https://doi.org/10.5194/egusphere-2024-2184, 2024
This preprint is open for discussion and under review for The Cryosphere (TC).
Short summary
Assessing global water mass transfers from continents to oceans over the period 1948–2016
Denise Cáceres, Ben Marzeion, Jan Hendrik Malles, Benjamin Daniel Gutknecht, Hannes Müller Schmied, and Petra Döll
Hydrol. Earth Syst. Sci., 24, 4831–4851, https://doi.org/10.5194/hess-24-4831-2020,https://doi.org/10.5194/hess-24-4831-2020, 2020
Short summary

Related subject area

Discipline: Glaciers | Subject: Numerical Modelling
Inter-model differences in 21st century glacier runoff for the world's major river basins
Finn Wimberly, Lizz Ultee, Lilian Schuster, Matthias Huss, David R. Rounce, Fabien Maussion, Sloan Coats, Jonathan Mackay, and Erik Holmgren
The Cryosphere, 19, 1491–1511, https://doi.org/10.5194/tc-19-1491-2025,https://doi.org/10.5194/tc-19-1491-2025, 2025
Short summary
A minimal machine-learning glacier mass balance model
Marijn van der Meer, Harry Zekollari, Matthias Huss, Jordi Bolibar, Kamilla Hauknes Sjursen, and Daniel Farinotti
The Cryosphere, 19, 805–826, https://doi.org/10.5194/tc-19-805-2025,https://doi.org/10.5194/tc-19-805-2025, 2025
Short summary
Physically based modelling of glacier evolution under climate change in the tropical Andes
Jonathan D. Mackay, Nicholas E. Barrand, David M. Hannah, Emily Potter, Nilton Montoya, and Wouter Buytaert
The Cryosphere, 19, 685–712, https://doi.org/10.5194/tc-19-685-2025,https://doi.org/10.5194/tc-19-685-2025, 2025
Short summary
New glacier thickness and bed topography maps for Svalbard
Ward van Pelt and Thomas Frank
The Cryosphere, 19, 1–17, https://doi.org/10.5194/tc-19-1-2025,https://doi.org/10.5194/tc-19-1-2025, 2025
Short summary
Sea-level rise contribution from Ryder Glacier in Northern Greenland varies by an order of magnitude by 2300 depending on future emissions
Felicity Alice Holmes, Jamie Barnett, Henning Åkesson, Mathieu Morlighem, Johan Nilsson, Nina Kirchner, and Martin Jakobsson
EGUsphere, https://doi.org/10.5194/egusphere-2024-3839,https://doi.org/10.5194/egusphere-2024-3839, 2024
Short summary

Cited articles

Bahr, D. B.: Global distributions of glacier properties: A stochastic scaling paradigm, Water Resour. Res., 33, 1669–1679, https://doi.org/10.1029/97WR00824, 1997. a
Bahr, D. B., Meier, M. F., and Peckham, S. D.: The physical basis of glacier volume-area scaling, J. Geophys. Res.-Sol. Ea., 102, 20355–20362, https://doi.org/10.1029/97JB01696, 1997. a
Bahr, D. B., Pfeffer, W. T., and Kaser, G.: A review of volume-area scaling of glaciers, Rev. Geophys., 53, 95–140, https://doi.org/10.1002/2014RG000470, 2015. a, b, c
Bamber, J. L., Westaway, R. M., Marzeion, B., and Wouters, B.: The land ice contribution to sea level during the satellite era, Environ. Res. Lett., 13, 063008, https://doi.org/10.1088/1748-9326/aac2f0, 2018. a, b, c
Ciracì, E., Velicogna, I., and Swenson, S.: Continuity of the Mass Loss of the World's Glaciers and Ice Caps From the GRACE and GRACE Follow-On Missions, Geophys. Res. Lett., 47, e2019GL086926, https://doi.org/10.1029/2019GL086926, 2020. a, b, c
Download
Short summary
To better estimate the uncertainty in glacier mass change modeling during the 20th century we ran an established model with an ensemble of meteorological data sets. We find that the total ensemble uncertainty, especially in the early 20th century, when glaciological and meteorological observations at glacier locations were sparse, increases considerably compared to individual ensemble runs. This stems from regions with a lot of ice mass but few observations (e.g., Greenland periphery).
Share