Articles | Volume 15, issue 6
https://doi.org/10.5194/tc-15-3007-2021
© Author(s) 2021. 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-15-3007-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Brief communication: Growth and decay of an ice stupa in alpine conditions – a simple model driven by energy-flux observations over a glacier surface
Institute for Marine and Atmospheric Research, Utrecht University,
Princetonplein 5, Utrecht, 3585CC, the Netherlands
Suryanarayanan Balasubramanian
Department of Geosciences, University of Fribourg, Fribourg, Switzerland
Conradin Clavuot
Architecture Clavuot, Gäugelistrasse 49, Chur 7000, Switzerland
Felix Keller
Academia Engiadina, Samedan, Switzerland
Department of Environmental Systems Science, ETH, Zurich, Switzerland
Related authors
Johannes Oerlemans, Jack Kohler, and Adrian Luckman
The Cryosphere, 16, 2115–2126, https://doi.org/10.5194/tc-16-2115-2022, https://doi.org/10.5194/tc-16-2115-2022, 2022
Short summary
Short summary
Tunabreen is a 26 km long tidewater glacier. It is the most frequently surging glacier in Svalbard, with four documented surges in the past 100 years. We have modelled this glacier to find out how it reacts to future climate change. Careful calibration was done against the observed length record for the past 100 years. For a 50 m increase in the equilibrium line altitude (ELA) the length of the glacier will be shortened by 10 km after about 100 years.
Johannes Oerlemans
The Cryosphere, 12, 3001–3015, https://doi.org/10.5194/tc-12-3001-2018, https://doi.org/10.5194/tc-12-3001-2018, 2018
Short summary
Short summary
Monacobreen is a 40 km long surge-type tidewater glacier in northern Spitsbergen. The front is retreating fast. Calculations with a glacier model predict that due to future climate warming this glacier will have lost 20 to 40 % of its volume by the year 2100. Because of the glacier's memory, much of the response will come after 2100, even if the climatic conditions would stabilize.
Antonija Rimac, Sharon van Geffen, and Johannes Oerlemans
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2017-67, https://doi.org/10.5194/gmd-2017-67, 2017
Revised manuscript not accepted
Short summary
Short summary
The main aim of this paper is to use explicit glacier flow-line models of a different complexity to analyse the glacier length and volume evolution, and to disentangle climatic signals from geometric effects. We compare length and volume evolution of a synthetically designed glaciers simulated using Full-Stokes model based on Elmer/Ice code with the results obtained using SIA model.
J. Oerlemans and W. J. J. van Pelt
The Cryosphere, 9, 767–779, https://doi.org/10.5194/tc-9-767-2015, https://doi.org/10.5194/tc-9-767-2015, 2015
Short summary
Short summary
Many glaciers on Svalbard are surging glaciers. A surge is a rapid advance of the glacier snout during a few years, followed by a long period of quiescence. During the surge ice flows to lower terrain and experiences higher melt rates in summer. Here we investigate the impact of surging on the long-term effects of climate warming. We have modelled Abrahamsenbreen in northern Spitsbergen as a typical case. We show that surges tend to accelerate glacier retreat when temperature increases.
R. S. W. van de Wal, C. J. P. P. Smeets, W. Boot, M. Stoffelen, R. van Kampen, S. H. Doyle, F. Wilhelms, M. R. van den Broeke, C. H. Reijmer, J. Oerlemans, and A. Hubbard
The Cryosphere, 9, 603–611, https://doi.org/10.5194/tc-9-603-2015, https://doi.org/10.5194/tc-9-603-2015, 2015
Short summary
Short summary
This paper addresses the feedback between ice flow and melt rates. Using 20 years of data covering the whole ablation area, we show that there is not a strong positive correlation between annual ice velocities and melt rates. Rapid variations around the equilibrium line indicate the possibility of rapid variations high on the ice sheet.
M. N. A. Maris, B. de Boer, S. R. M. Ligtenberg, M. Crucifix, W. J. van de Berg, and J. Oerlemans
The Cryosphere, 8, 1347–1360, https://doi.org/10.5194/tc-8-1347-2014, https://doi.org/10.5194/tc-8-1347-2014, 2014
P. W. Leclercq, J. Oerlemans, H. J. Basagic, I. Bushueva, A. J. Cook, and R. Le Bris
The Cryosphere, 8, 659–672, https://doi.org/10.5194/tc-8-659-2014, https://doi.org/10.5194/tc-8-659-2014, 2014
J. Oerlemans
The Cryosphere, 7, 1557–1564, https://doi.org/10.5194/tc-7-1557-2013, https://doi.org/10.5194/tc-7-1557-2013, 2013
M. M. Helsen, W. J. van de Berg, R. S. W. van de Wal, M. R. van den Broeke, and J. Oerlemans
Clim. Past, 9, 1773–1788, https://doi.org/10.5194/cp-9-1773-2013, https://doi.org/10.5194/cp-9-1773-2013, 2013
W. J. J. van Pelt, J. Oerlemans, C. H. Reijmer, R. Pettersson, V. A. Pohjola, E. Isaksson, and D. Divine
The Cryosphere, 7, 987–1006, https://doi.org/10.5194/tc-7-987-2013, https://doi.org/10.5194/tc-7-987-2013, 2013
M. N. A. Maris, B. de Boer, and J. Oerlemans
Clim. Past, 8, 803–814, https://doi.org/10.5194/cp-8-803-2012, https://doi.org/10.5194/cp-8-803-2012, 2012
M. M. Helsen, R. S. W. van de Wal, M. R. van den Broeke, W. J. van de Berg, and J. Oerlemans
The Cryosphere, 6, 255–272, https://doi.org/10.5194/tc-6-255-2012, https://doi.org/10.5194/tc-6-255-2012, 2012
I. G. M. Wientjes, R. S. W. Van de Wal, G. J. Reichart, A. Sluijs, and J. Oerlemans
The Cryosphere, 5, 589–601, https://doi.org/10.5194/tc-5-589-2011, https://doi.org/10.5194/tc-5-589-2011, 2011
M. A. G. den Ouden, C. H. Reijmer, V. Pohjola, R. S. W. van de Wal, J. Oerlemans, and W. Boot
The Cryosphere, 4, 593–604, https://doi.org/10.5194/tc-4-593-2010, https://doi.org/10.5194/tc-4-593-2010, 2010
M. van den Broeke, P. Smeets, J. Ettema, C. van der Veen, R. van de Wal, and J. Oerlemans
The Cryosphere, 2, 179–189, https://doi.org/10.5194/tc-2-179-2008, https://doi.org/10.5194/tc-2-179-2008, 2008
J. Oerlemans, M. Dyurgerov, and R. S. W. van de Wal
The Cryosphere, 1, 59–65, https://doi.org/10.5194/tc-1-59-2007, https://doi.org/10.5194/tc-1-59-2007, 2007
Johannes Oerlemans, Jack Kohler, and Adrian Luckman
The Cryosphere, 16, 2115–2126, https://doi.org/10.5194/tc-16-2115-2022, https://doi.org/10.5194/tc-16-2115-2022, 2022
Short summary
Short summary
Tunabreen is a 26 km long tidewater glacier. It is the most frequently surging glacier in Svalbard, with four documented surges in the past 100 years. We have modelled this glacier to find out how it reacts to future climate change. Careful calibration was done against the observed length record for the past 100 years. For a 50 m increase in the equilibrium line altitude (ELA) the length of the glacier will be shortened by 10 km after about 100 years.
Johannes Oerlemans
The Cryosphere, 12, 3001–3015, https://doi.org/10.5194/tc-12-3001-2018, https://doi.org/10.5194/tc-12-3001-2018, 2018
Short summary
Short summary
Monacobreen is a 40 km long surge-type tidewater glacier in northern Spitsbergen. The front is retreating fast. Calculations with a glacier model predict that due to future climate warming this glacier will have lost 20 to 40 % of its volume by the year 2100. Because of the glacier's memory, much of the response will come after 2100, even if the climatic conditions would stabilize.
Antonija Rimac, Sharon van Geffen, and Johannes Oerlemans
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2017-67, https://doi.org/10.5194/gmd-2017-67, 2017
Revised manuscript not accepted
Short summary
Short summary
The main aim of this paper is to use explicit glacier flow-line models of a different complexity to analyse the glacier length and volume evolution, and to disentangle climatic signals from geometric effects. We compare length and volume evolution of a synthetically designed glaciers simulated using Full-Stokes model based on Elmer/Ice code with the results obtained using SIA model.
J. Oerlemans and W. J. J. van Pelt
The Cryosphere, 9, 767–779, https://doi.org/10.5194/tc-9-767-2015, https://doi.org/10.5194/tc-9-767-2015, 2015
Short summary
Short summary
Many glaciers on Svalbard are surging glaciers. A surge is a rapid advance of the glacier snout during a few years, followed by a long period of quiescence. During the surge ice flows to lower terrain and experiences higher melt rates in summer. Here we investigate the impact of surging on the long-term effects of climate warming. We have modelled Abrahamsenbreen in northern Spitsbergen as a typical case. We show that surges tend to accelerate glacier retreat when temperature increases.
R. S. W. van de Wal, C. J. P. P. Smeets, W. Boot, M. Stoffelen, R. van Kampen, S. H. Doyle, F. Wilhelms, M. R. van den Broeke, C. H. Reijmer, J. Oerlemans, and A. Hubbard
The Cryosphere, 9, 603–611, https://doi.org/10.5194/tc-9-603-2015, https://doi.org/10.5194/tc-9-603-2015, 2015
Short summary
Short summary
This paper addresses the feedback between ice flow and melt rates. Using 20 years of data covering the whole ablation area, we show that there is not a strong positive correlation between annual ice velocities and melt rates. Rapid variations around the equilibrium line indicate the possibility of rapid variations high on the ice sheet.
M. N. A. Maris, B. de Boer, S. R. M. Ligtenberg, M. Crucifix, W. J. van de Berg, and J. Oerlemans
The Cryosphere, 8, 1347–1360, https://doi.org/10.5194/tc-8-1347-2014, https://doi.org/10.5194/tc-8-1347-2014, 2014
P. W. Leclercq, J. Oerlemans, H. J. Basagic, I. Bushueva, A. J. Cook, and R. Le Bris
The Cryosphere, 8, 659–672, https://doi.org/10.5194/tc-8-659-2014, https://doi.org/10.5194/tc-8-659-2014, 2014
J. Oerlemans
The Cryosphere, 7, 1557–1564, https://doi.org/10.5194/tc-7-1557-2013, https://doi.org/10.5194/tc-7-1557-2013, 2013
M. M. Helsen, W. J. van de Berg, R. S. W. van de Wal, M. R. van den Broeke, and J. Oerlemans
Clim. Past, 9, 1773–1788, https://doi.org/10.5194/cp-9-1773-2013, https://doi.org/10.5194/cp-9-1773-2013, 2013
W. J. J. van Pelt, J. Oerlemans, C. H. Reijmer, R. Pettersson, V. A. Pohjola, E. Isaksson, and D. Divine
The Cryosphere, 7, 987–1006, https://doi.org/10.5194/tc-7-987-2013, https://doi.org/10.5194/tc-7-987-2013, 2013
M. N. A. Maris, B. de Boer, and J. Oerlemans
Clim. Past, 8, 803–814, https://doi.org/10.5194/cp-8-803-2012, https://doi.org/10.5194/cp-8-803-2012, 2012
M. M. Helsen, R. S. W. van de Wal, M. R. van den Broeke, W. J. van de Berg, and J. Oerlemans
The Cryosphere, 6, 255–272, https://doi.org/10.5194/tc-6-255-2012, https://doi.org/10.5194/tc-6-255-2012, 2012
I. G. M. Wientjes, R. S. W. Van de Wal, G. J. Reichart, A. Sluijs, and J. Oerlemans
The Cryosphere, 5, 589–601, https://doi.org/10.5194/tc-5-589-2011, https://doi.org/10.5194/tc-5-589-2011, 2011
M. A. G. den Ouden, C. H. Reijmer, V. Pohjola, R. S. W. van de Wal, J. Oerlemans, and W. Boot
The Cryosphere, 4, 593–604, https://doi.org/10.5194/tc-4-593-2010, https://doi.org/10.5194/tc-4-593-2010, 2010
M. van den Broeke, P. Smeets, J. Ettema, C. van der Veen, R. van de Wal, and J. Oerlemans
The Cryosphere, 2, 179–189, https://doi.org/10.5194/tc-2-179-2008, https://doi.org/10.5194/tc-2-179-2008, 2008
J. Oerlemans, M. Dyurgerov, and R. S. W. van de Wal
The Cryosphere, 1, 59–65, https://doi.org/10.5194/tc-1-59-2007, https://doi.org/10.5194/tc-1-59-2007, 2007
Cited articles
Berrizbeitia, S. E., Cago, E. J., and Muneer, T.: Empirical models of the
estimation of solar sky-diffusive radiation. A review and experimental
analysis, Energies, 13, 701, https://doi.org/10.3390/en13030701, 2020.
Garratt, J.: The Atmospheric Boundary Layer, Cambridge University Press, 316 pp., ISBN 0521380529, 1992.
Li, D. H. W., Lou, S. W., and Lam, J. C.: An analysis of global, direct and
diffuse solar radiation, Energy Procedia, 75, 388–393, 2015.
Nüsser, M., Dame, J., Kraus, B., Baghel, R., and Schmidt, S.: Socio-hydrology of artificial
glaciers in Ladakh, India: assessing adaptive strategies in a changing
cryosphere, Reg. Environ. Change, 19, 1327–1337, https://doi.org/10.1007/s10113-018-1372-0, 2018.
Oerlemans, J., Giesen, R. H., and Van den Broeke, M. R.: Retreating alpine
glaciers: increased melt rates due to accumulation of dust (Vadret da
Morteratsch, Switzerland), J. Glaciol., 55, 729–736, 2009.
Short summary
An ice stupa is a cone-like ice mass storing water in the form of ice. By sprinkling water on the cone during cold conditions an ice stupa can grow to achieve an appreciable mass (typically 1 × 106 kg) and release this in spring and summer in the form of meltwater. In Ladakh ice stupas are currently used more and more for irrigation purposes. We present a simple model with which the rate of growth and decay of a stupa can be calculated for given climatic conditions.
An ice stupa is a cone-like ice mass storing water in the form of ice. By sprinkling water on...