Articles | Volume 9, issue 2
https://doi.org/10.5194/tc-9-691-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/tc-9-691-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Quantifying meltwater refreezing along a transect of sites on the Greenland ice sheet
Department of Geology and Geophysics, University of Wyoming, Laramie, Wyoming, USA
N. Humphrey
CORRESPONDING AUTHOR
Department of Geology and Geophysics, University of Wyoming, Laramie, Wyoming, USA
J. Harper
Department of Geosciences, University of Montana, Missoula, Montana, USA
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Joel Brown and Joel Harper
Hydrol. Earth Syst. Sci., 30, 5735–5748, https://doi.org/10.5194/hess-30-5735-2026, https://doi.org/10.5194/hess-30-5735-2026, 2026
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We present daily analysis of a 72-year snowpack evolution model driven by climate reanalysis data over a large Columbia River headwaters basin. Trends in cold content and total capillary retention reveal decreasing capacity to buffer against rain-on-snow flood events with the largest changes occurring during the last 5 weeks of the accumulation period. We demonstrate that seasonality of changes in factors related to snowpack buffering capacity is important when assessing rain-on-snow flood risk.
Andreas Colliander, Nicole-Jeanne Schlegel, Alamgir Hossan, Catherine Walker, and Joel Harper
EGUsphere, https://doi.org/10.5194/egusphere-2025-5953, https://doi.org/10.5194/egusphere-2025-5953, 2026
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We studied how melting on an Antarctic ice shelf changes the snow and ice below the surface. By combining satellite microwave measurements with a detailed computer model, we show that meltwater can travel deeper and stay longer than models usually predict. This approach makes it possible to better track hidden melt and improve future estimates of ice loss and sea-level change.
Kirsten L. Gehl, Joel T. Harper, and Neil F. Humphrey
The Cryosphere, 19, 6791–6805, https://doi.org/10.5194/tc-19-6791-2025, https://doi.org/10.5194/tc-19-6791-2025, 2025
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The geometric form of snow grains governs snow compaction and the movement of air and water within the snow. We observed unexpectedly thick and deep layers of faceted snow grains in cores drilled along the flanks of the Greenland Ice Sheet. Based on field measurements and modeling, we find that meltwater infiltration and refreezing in the cold snow generates these grains. As more of the ice sheet is affected by melting, subsurface faceting of snow crystals may become increasingly important.
Alamgir Hossan, Andreas Colliander, Nicole-Jeanne Schlegel, Joel Harper, Lauren Andrews, Jana Kolassa, Julie Z. Miller, and Richard Cullather
The Cryosphere, 19, 6077–6102, https://doi.org/10.5194/tc-19-6077-2025, https://doi.org/10.5194/tc-19-6077-2025, 2025
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Microwave L-band radiometry offers a promising new tool for estimating the total surface-to-subsurface liquid water amount (LWA) in the snow and firn in polar ice sheets. An accurate modelling of wet snow effective permittivity is a key to this. Here, we evaluated the performance of ten commonly used microwave dielectric mixing models for estimating LWA in the percolation zone of the Greenland Ice Sheet to help an appropriate choice of dielectric mixing model for LWA retrieval algorithms.
Alamgir Hossan, Andreas Colliander, Baptiste Vandecrux, Nicole-Jeanne Schlegel, Joel Harper, Shawn Marshall, and Julie Z. Miller
The Cryosphere, 19, 4237–4258, https://doi.org/10.5194/tc-19-4237-2025, https://doi.org/10.5194/tc-19-4237-2025, 2025
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We used L-band observations from the Soil Moisture Active Passive (SMAP) mission to quantify the surface and subsurface liquid water amounts (LWAs) in the percolation zone of the Greenland ice sheet. The algorithm is described, and the validation results are provided. The results demonstrate the potential for creating an LWA data product across the Greenland ice sheet (GrIS), which will advance our understanding of ice sheet physical processes for better projection of Greenland’s contribution to global sea level rise.
Anja Løkkegaard, Kenneth D. Mankoff, Christian Zdanowicz, Gary D. Clow, Martin P. Lüthi, Samuel H. Doyle, Henrik H. Thomsen, David Fisher, Joel Harper, Andy Aschwanden, Bo M. Vinther, Dorthe Dahl-Jensen, Harry Zekollari, Toby Meierbachtol, Ian McDowell, Neil Humphrey, Anne Solgaard, Nanna B. Karlsson, Shfaqat A. Khan, Benjamin Hills, Robert Law, Bryn Hubbard, Poul Christoffersen, Mylène Jacquemart, Julien Seguinot, Robert S. Fausto, and William T. Colgan
The Cryosphere, 17, 3829–3845, https://doi.org/10.5194/tc-17-3829-2023, https://doi.org/10.5194/tc-17-3829-2023, 2023
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This study presents a database compiling 95 ice temperature profiles from the Greenland ice sheet and peripheral ice caps. Ice viscosity and hence ice flow are highly sensitive to ice temperature. To highlight the value of the database in evaluating ice flow simulations, profiles from the Greenland ice sheet are compared to a modeled temperature field. Reoccurring discrepancies between modeled and observed temperatures provide insight on the difficulties faced when simulating ice temperatures.
Joel Harper, Toby Meierbachtol, Neil Humphrey, Jun Saito, and Aidan Stansberry
The Cryosphere, 15, 5409–5421, https://doi.org/10.5194/tc-15-5409-2021, https://doi.org/10.5194/tc-15-5409-2021, 2021
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We use surface and borehole measurements to investigate the generation and fate of basal meltwater in the ablation zone of western Greenland. The rate of basal meltwater generation at borehole study sites increases by up to 20 % over the winter period. Accommodation of all basal meltwater by expansion of isolated subglacial cavities is implausible. Other sinks for water do not likely balance basal meltwater generation, implying water evacuation through a connected drainage system in winter.
Cited articles
Ambach, W.: Interpretation of the positive-degree-day factor by heat balance characteristics – West Greenland, Nord. Hydrol., 19, 217–224, 1988.
Benson, C.: Stratigraphic studies in the snow and firn of the Greenland Icesheet, Cold Regions Research and Engineering Laboratory – Research Report 70, US Army Snow, Ice, and Permafrost Research Establishment, Engineer Research and Development Center (US), 1962.
Bougamont, M., Bamber, J. L., and Greuell, W.: A surface mass balance model for the Greenland Ice Sheet, J. Geophys. Res., 110, F04018, https://doi.org/10.1029/2005JF000348, 2005.
Braithwaite, R. J.: Positive degree-day factors for ablation on the Greenland ice sheet studied by energy-balance modelling, J. Glaciol., 41, 153–160, 1995.
Brown, J., Harper, J., Pfeffer, W., Humphrey, N., and Bradford, J.: High resolution study of layering within the percolation and soaked facies of the Greenland Icesheet, Ann. Glaciol., 52, 35–42, 2011.
Calonne, N., Flin, F., Morin, S., Lesaffre, B., du Roscoat, S. R., and Geindreau, C.: Numerical and experimental investigations of the effective thermal conductivity of snow, Geophys. Res. Lett., 38, L23501, https://doi.org/10.1029/2011GL049234, 2011.
Carslaw, H. and Jaeger, J.: Conduction of heat in solids, Oxford University Press, 2nd Edn., New York, 1986.
Carson, J., Lovatt, S., Tanner, D., and Cleland, A.: Thermal conductivity bounds for isotropic, porous materials, Int. J. Heat Mass Tran., 48, 2150–2158, 2005.
Cuffey, K. and Paterson, W.: The Physics of Glaciers, Elsevier, 4th Edn., Burlington, MA, 2010.
Enderlin, E., Howat, I., Jeong, S., Noh, M.-J., van Angelen, J., and van den Broeke, M.: An improved mass budget for the Greenland ice sheet, Geophys. Res. Lett., 41, 866–872, https://doi.org/10.1002/2013GL059010, 2014.
Ettema, J., van den Broeke, M., van Meijgaard, E., van de Berg, W., Bamber, J., Box, J., and Bales, R.: Higher surface mass balance of the Greenland Ice Sheet revealed by high resolution climate modeling, Geophys. Res. Lett., 36, L12501, https://doi.org/10.1029/2009GL038110, 2009.
Fettweis, X.: Reconstruction of the 1979–2006 Greenland ice sheet surface mass balance using the regional climate model MAR, The Cryosphere, 1, 21–40, https://doi.org/10.5194/tc-1-21-2007, 2007.
Fettweis, X., Tedesco, M., van den Broeke, M., and Ettema, J.: Melting trends over the Greenland ice sheet (1958–2009) from spaceborne microwave data and regional climate models, The Cryosphere, 5, 359–375, https://doi.org/10.5194/tc-5-359-2011, 2011.
Forster, R. R., Box, J. E., van den Broeke, M., Miege, C., Burgess, E. W., van Angelen, J., Lenaerts, J. T., Koenig, L. S., Paden, J., Lewis, C., Gogineni, S., Leuschen, C., and McConnell, J. R.: Extensive liquid meltwater storage in firn within the Greenland ice sheet, Nat. Geosci., 7, 95–98, https://doi.org/10.1038/NGEO2043, 2014.
Greuell, W. and Konzelmann, T.: Numerical modelling of the energy balance and the englacial temperature of the Greenland Ice Sheet. Calculations for the ETH-Camp location (West Greenland, 1155 m a.s.l.), Global Planet. Change, 9, 91–114, 1994.
Hanna, E., Huybrechts, P., Janssens, I., Cappelen, J., Steffen, K., and Stephens, A.: Runoff and mass balance of the Greenland ice sheet: 1958–2003, J. Geophys. Res., 110, D13108, https://doi.org/10.1029/2004JD005641, 2005.
Hanna, E., McConnell, J., Das, S., Cappelen, J., and Stephens, A.: Observed and modeled Greenland Ice sheet snow accumulation, 1958–2003, and links with regional climate forcing, J. Climate, 19, 344–358, 2006.
Harper, J., Humphrey, N., Pfeffer, T., Brown, J., and Fettweis, X.: Greenland ice-sheet contribution to sea-level rise buffered by meltwater storage in firn, Nature, 491, 240–243, https://doi.org/10.1038/nature11566, 2012.
Harper, J., Humphrey, N., Pfeffer, T., and Brown, J.: Firn stratigraphy and temperature to 10 m depth in the percolation zone of western Greenland, 2007–2009: INSTAAR Occasional Paper, 60, 2011.
Hock, R.: Temperature index melt modelling in mountain areas, J. Hydrol., 282, 104–115, https://doi.org/10.1016/S0022-1694(03)00257-9, 2003.
Hock, R.: Glacier melt: a review of processes and their modelling, Prog. Phys. Geog., 29, 362–391, https://doi.org/10.1191/0309133305pp453.ra, 2005.
Humphrey, N., Harper, J., and Pfeffer, W.: Thermal tracking of melt water retention in Greenland's accumulation area, J. Geophys. Res., 112, F01010, https://doi.org/10.1029/2011JF002083, 2012.
Janssens, I. and Huybrechts, P.: The treatment of melt-water retention in mass-balance parameterizations of the Greenland ice shee, Ann. Glaciol., 31, 133–140, 2000.
Mernild, S., Liston, G., Hiemstra, C., and Christensen, J.: Greenland ice sheet surface mass balance modeling in a 131 yr perspective, J. Hydrometeorol., 11, 3–25, https://doi.org/10.1175/2009jhm1140.1, 2010.
Oerlemans, J.: The mass balance of the Greenland ice sheet: sensitivity to climate change as revealed by energy balance modelling, Holocene, 1, 40–49, 1991.
Parry, V., Nienow, P., Mair, D., Scott, J., Hubbard, B., Steffen, K., and Wingham, D.: Investigations of meltwater refreezing and density variations in the snowpack and firn within the percolation zone of the Greenland ice sheet, Ann. Glaciol., 46, 61–68, 2007.
Pfeffer, T., Meier, M., and Illangasekare, T.: Retention of Greenland runoff by refreezing: implications for projected future sea level change, J. Geophys. Res., 96, 22117–22124, 1991.
Pfeffer, W. and Humphrey, N.: Determination of timing and location of water movement and ice layer formation by temperature measurements in sub-freezing snow, J. Glaciol., 42, 292–304, 1996.
Pfeffer, W. and Humphrey, N.: Formation of ice layers by infiltration and refreezing of meltwater, Ann. Glaciol., 26, 83–91, 1998.
Reeh, N.: Parameterization of melt rate and surface temperature on the greenland ice sheet, Polarforschung, 59, 113–128, 1991.
Reijmer, C. H., van den Broeke, M. R., Fettweis, X., Ettema, J., and Stap, L. B.: Refreezing on the Greenland ice sheet: a comparison of parameterizations, The Cryosphere, 6, 743–762, https://doi.org/10.5194/tc-6-743-2012, 2012.
Rignot, E., Velicogna, I., van den Broeke, M., Monaghan, A., and Lenaerts, J.: Acceleration of the contribution of the Greenland and Antarctic icesheets to sea level rise, Geophys. Res. Lett., 38, L05503, https://doi.org/10.1029/2011GL046583, 2011.
Schwerdtfeger, P.: Theoretical derivation of the thermal conductivity and diffusivity of snow, General Assembly of Berkeley Commission of Snow and Ice, 61, 75–81, 1963.
Shepherd, A., Ivins, E. R., A, G., Barletta, V. R., Bentley, M. J., Bettadpur, S., Briggs, K. H., Bromwich, D. H., Forsberg, R., Galin, N., Horwath, M., Jacobs, S., Joughin, I., King, M. A., Lenaerts, J. T. M., Li, J., Ligtenberg, S. R. M., Luckman, A., Luthcke, S. B., McMillan, M., Meister, R., Milne, G., Mouginot, J., Muir, A., Nicolas, J. P., Paden, J., Payne, A. J., Pritchard, H., Rignot, E., Rott, H., Sorensen, L. S., Scambos, T. A., Scheuchl, B., Schrama, E. J. O., Smith, B., Sundal, A. V., van Angelen, J. H., van de Berg, W. J., van den Broeke, M. R., Vaughan, D. G., Velicogna, I., Wahr, J., Whitehouse, P. L., Wingham, D. J., Yi, D., Young, D., and Zwally, H. J.: A reconciled estimate of ice-sheet mass balance, Science, 338, 1183–1189, https://doi.org/10.1126/science.1228102, 2012.
Sturm, M., Holmgren, J., Konig, M., and Morris, K.: The thermal conductivity of seasonal snow, J. Glaciol., 143, 26–41, 1997.
Tedesco, M., Fettweis, X., Mote, T., Wahr, J., Alexander, P., Box, J. E., and Wouters, B.: Evidence and analysis of 2012 Greenland records from spaceborne observations, a regional climate model and reanalysis data, The Cryosphere, 7, 615–630, https://doi.org/10.5194/tc-7-615-2013, 2013.
Tedesco, M., Fettweis, X., Alexander, P., Green, G., and Datta, T.: MAR Greenland Outputs June 2007–September 2008, CCNY Digital Archive, available at: http://www.cryocity.org/mar-explorer.html, 2014.
Vaughan, D., Comiso, J., Allison, I., Carrasco, J., Kaser, G., Kwok, R., Mote, P., Murray, T., Paul, F., Ren, J., Rignot, E., Solomina, O., Steffen, K., and Zhang, T.: 2013: Observations: Cryosphere, in: Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, edited by: Stocker, T., Qin, D., Plattner, G.-K., Tignor, M., Allen, S., Boschung, J., Nauels, A., Xia, Y., Bex, V., and Midgley, P., Cambridge University Press, New York, NY, USA, 2014.
Wright, A. P., Wadham, J. L., Siegert, M. J., Luckman, A., Kohler, J., and Nuttall, A. M.: Modeling the refreezing of meltwater as superimposed ice on a high Arctic glacier: a comparison of approaches, J. Geophys. Res., 112, F04016, https://doi.org/10.1029/2007JF000818, 2007.
Yen, Y.-C.: Review of thermal properties of snow, ice and sea ice, Tech. Rep. 81–10, US Army Cold Regions Research and Engineering Laboratory, Hanover, NH, USA, 1981.
Short summary
On the Greenland Ice Sheet, a significant quantity of surface melt water refreezes after infiltrating into the cold underlying firn. This paper presents a new method for estimating the amount of water refreezing using temperature measurements. The method is applied to temperature data from a transect of 11 sites and the results provide some of the first measurement-based estimates of refreezing quantities which can be used to improve modeling and better understand the refreezing process.
On the Greenland Ice Sheet, a significant quantity of surface melt water refreezes after...