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The effect of climate forcing on numerical simulations of the Cordilleran ice sheet at the Last Glacial Maximum

Seguinot, J., Khroulev, C., Rogozhina, I., Stroeven, A. P., Zhang, Q.·2014·The Cryosphere
DOI 10.5194/tc-8-1087-2014

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Abstract

Abstract. We present an ensemble of numerical simulations of the Cordilleran ice sheet during the Last Glacial Maximum performed with the Parallel Ice Sheet Model (PISM), applying temperature offsets to the present-day climatologies from five different data sets. Monthly mean surface air temperature and precipitation from WorldClim, the NCEP/NCAR reanalysis, the ERA-Interim reanalysis, the Climate Forecast System Reanalysis and the North American Regional Reanalysis are used to compute surface mass balance in a positive degree-day model. Modelled ice sheet outlines and volumes appear highly sensitive to the choice of climate forcing. For three of the four reanalysis data sets used, differences in precipitation are the major source for discrepancies between model results. We assess model performance against a geomorphological reconstruction of the ice margin at the Last Glacial Maximum, and suggest that part of the mismatch is due to unresolved orographic precipitation effects caused by the coarse resolution of reanalysis data. The best match between model output and the reconstructed ice margin is obtained using the high-resolution North American Regional Reanalysis, which we retain for simulations of the Cordilleran ice sheet in the future.

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  • Numerical ice sheet modeling simulates the western margin of the Cordilleran Ice Sheet at the continental shelf at 16 ka.

    “Numerical ice sheet modeling simulates the western margin of the Cordilleran Ice Sheet at the continental shelf at 16 ka (Seguinot et al., 2014(Seguinot et al., , 2016)), broadly consistent with previous conceptual models for the region (Fulton, 1991;Mann & Peteet, 1994;Margold et al., 2014;Ryder et al., 1991).”

    From Retreat of the Western Cordilleran Ice Sheet Margin During the Last Deglaciation (2018) · cites this paper as Seguinot et al., 2014

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Research works printed but not linked: 62

  1. Abe-Ouchi, A., Segawa, T., and Saito, F.: Climatic Conditions for modelling the Northern Hemisphere ice sheets throughout the ice age cycle, Clim. Past, 3, 423–438, https://doi.org/10.5194/cp-3-423-2007, 2007. · DOI
  2. Artemieva, I. M. and Mooney, W. D.: Thermal thickness and evolution of Precambrian lithosphere: a global study, J. Geophys. Res., 106, 16387–16414, https://doi.org/10.1029/2000JB900439, 2001. · DOI
  3. Aschwanden, A. and Blatter, H.: Mathematical modeling and numerical simulation of polythermal glaciers, J. Geophys. Res., 114, F01027, https://doi.org/10.1029/2008JF001028, 2009. · DOI
  4. Aschwanden, A., Bueler, E., Khroulev, C., and Blatter, H.: An enthalpy formulation for glaciers and ice sheets, J. Glaciol., 58, 441–457, https://doi.org/10.3189/2012JoG11J088, 2012. · DOI
  5. Aschwanden, A., A\\dhalgeirsdóttir, G., and Khroulev, C.: Hindcasting to measure ice sheet model sensitivity to initial states, The Cryosphere, 7, 1083–1093, https://doi.org/10.5194/tc-7-1083-2013, 2013. · DOI
  6. Bengtsson, L., Haines, K., Hodges, K. I., Arkin, P., Berrisford, P., Bougeault, P., Kallberg, P., Simmons, A. J., Uppala, S., Folland, C. K., Gordon, C., Rayner, N., Thorne, P. W., Jones, P., Stammer, D., and Vose, R. S.: The need for a dynamical climate reanalysis, B. Am. Meteorol. Soc., 88, 495–501, https://doi.org/10.1175/BAMS-88-4-495, 2007. · DOI
  7. Bintanja, R., van de Wal, R. S. W., and Oerlemans, J.: A new method to estimate ice age temperatures, Clim. Dynam., 24, 197–211, https://doi.org/10.1007/s00382-004-0486-x, 2005. · DOI
  8. Bueler, E. and Brown, J.: Shallow shelf approximation as a "sliding law" in a thermodynamically coupled ice sheet model, J. Geophys. Res., 114, F03008, https://doi.org/10.1029/2008JF001179, 2009. · DOI
  9. Bueler, E. and Lingle, C. S. and Brown, J.: Fast computation of a viscoelastic deformable Earth model for ice-sheet simulations, Ann. Glaciol., 46, 97–105, https://doi.org/10.3189/172756407782871567, 2007 · DOI
  10. Calov, R. and Greve, R.: A semi-analytical solution for the positive degree-day model with stochastic temperature variations, J. Glaciol., 51, 173–175, https://doi.org/10.3189/172756505781829601, 2005. · DOI
  11. Calov, R., Ganopolski, A., Petoukhov, V., Claussen, M., and Greve, R.: Large-scale instabilities of the Laurentide ice sheet simulated in a fully coupled climate-system model, Geophys. Res. Lett., 29, 2216, https://doi.org/10.1029/2002GL016078, 2002. · DOI
  12. Charbit, S., Ritz, C., and Ramstein, G.: Simulations of Northern Hemisphere ice-sheet retreat: sensitivity to physical mechanisms involved during the Last Deglaciation, Quaternary Sci. Rev., 21, 243–265, https://doi.org/10.1016/S0277-3791(01)00093-2, 2002. · DOI
  13. Charbit, S., Ritz, C., Philippon, G., Peyaud, V., and Kageyama, M.: Numerical reconstructions of the Northern Hemisphere ice sheets through the last glacial-interglacial cycle, Clim. Past, 3, 15–37, https://doi.org/10.5194/cp-3-15-2007, 2007. · DOI
  14. Charbit, S., Dumas, C., Kageyama, M., Roche, D. M., and Ritz, C.: Influence of ablation-related processes in the build-up of simulated Northern Hemisphere ice sheets during the last glacial cycle, The Cryosphere, 7, 681–698, https://doi.org/10.5194/tc-7-681-2013, 2013. · DOI
  15. Clague, J. J.: Quaternary geology of the Canadian Cordillera, in: Quaternary Geology of Canada and Greenland, edited by: Fulton, R. J., Geological Society of America, Boulder, CO, 15–95, 1989. · DOI
  16. Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P., Kobayashi, S., Andrae, U., Balmaseda, M. A., Balsamo, G., Bauer, P., Bechtold, P., Beljaars, A. C. M., van de Berg, L., Bidlot, J., Bormann, N., Delsol, C., Dragani, R., Fuentes, M., Geer, A. J., Haimberger, L., Healy, S. B., Hersbach, H., Hólm, E. V., Isaksen, L., Kållberg, P., Köhler, M., Matricardi, M., McNally, A. P., Monge-Sanz, B. M., Morcrette, J.-J., Park, B.-K., Peubey, C., de Rosnay, P., Tavolato, C., Thépaut, J.-N., and Vitart, F.: The ERA-Interim reanalysis: configuration and performance of the data assimilation system, Q. J. Roy. Meteor. Soc., 137, 553–597, https://doi.org/10.1002/qj.828, 2011. · DOI · Paper page
  17. Duk-Rodkin, A.: Glacial limits map of Yukon Territory, Geol. Surv. of Can., Ottawa, Ont., Open File 3694, https://doi.org/10.4095/210739, 1999. · DOI
  18. Dyke, A. S.: An outline of North American deglaciation with emphasis on central and northern Canada, in: Quaternary Glaciations – Extent and Chronology, Part II, edited by: Ehlers, J. and Gibbard, P. L., Elsevier, 373–424, https://doi.org/10.1016/S1571-0866(04)80209-4, 2004. · DOI
  19. Fausto, R. S., Ahlstrøm, A. P., Van As, D., Bøggild, C. E., and Johnsen, S. J.: A new present-day temperature parameterization for Greenland, J. Glaciol., 55, 95–105, https://doi.org/10.3189/002214309788608985, 2009a. · DOI
  20. Fausto, R. S., Ahlstrøm, A. P., Van As, D., Johnsen, S. J., Langen, P. L., and Steffen, K.: Improving surface boundary conditions with focus on coupling snow densification and meltwater retention in large-scale ice-sheet models of Greenland, J. Glaciol., 55, 869–878, https://doi.org/10.3189/002214309790152537, 2009b. · DOI
  21. Gesch, D. B., Verdin, K. L., and Greenlee, S. K.: New land surface digital elevation model covers the Earth, Eos, Transactions American Geophysical Union, 80, 69–70, https://doi.org/10.1029/99EO00050, 1999. · DOI
  22. Gregoire, L. J., Payne, A. J., and Valdes, P. J.: Deglacial rapid sea level rises caused by ice-sheet saddle collapses, Nature, 487, 219–222, https://doi.org/10.1038/nature11257, 2012. · DOI
  23. Greve, R., Wyrwoll, K.-H., and Eisenhauer, A.: Deglaciation of the Northern Hemisphere at the onset of the Eemian and Holocene, Ann. Glaciol., 28, 1–8, https://doi.org/10.3189/172756499781821643, 1999. · DOI
  24. Hebeler, F., Purves, R. S., and Jamieson, S. S.: The impact of parametric uncertainty and topographic error in ice-sheet modelling, J. Glaciol., 54, 899–919, https://doi.org/10.3189/002214308787779852, 2008. · DOI
  25. Hijmans, R. J., Cameron, S. E., Parra, J. L., Jones, P. G., and Jarvis, A.: Very high resolution interpolated climate surfaces for global land areas, Int. J. Climatol., 25, 1965–1978, https://doi.org/10.1002/joc.1276, 2005. · DOI
  26. 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. · DOI
  27. Hunter, J. D.: Matplotlib: a 2-D graphics environment, Comput. Sci. Eng., 9, 90–95, https://doi.org/10.1109/MCSE.2007.55, 2007. · DOI · Paper page
  28. Huybrechts, P. and T'siobbel, S.: A three-dimensional climate-ice-sheet model applied to the Last Glacial Maximum, Ann. Glaciol., 25, 333–339, https://doi.org/10013/epic.12066, 1996. · DOI
  29. Jackson, L. E. and Clague, J. J.: The Cordilleran ice sheet: one hundred and fifty years of exploration and discovery, Géogr. phys. Quatern., 45, 269–280, https://doi.org/10.7202/032874ar, 1991. · DOI
  30. Janssens, I. and Huybrechts, P.: The treatment of meltwater retention in mass-balance parameterizations of the Greenland ice sheet, Ann. Glaciol., 31, 133–140, https://doi.org/10.3189/172756400781819941, 2000. · DOI
  31. Johnson, J. and Fastook, J. L.: Northern Hemisphere glaciation and its sensitivity to basal melt water, Quaternary Int., 95–96, 65–74, https://doi.org/10.1016/S1040-6182(02)00028-9, 2002. · DOI
  32. Joussaume, S. and Taylor, K.: Status of the Paleoclimate Modeling Intercomparison Project (PMIP), in: First International AMIP Conference, Proceedings of the first international AMIP Conference, edited by: Gates, W. L., World. Meteorol. Organ., Geneva, 425–430, 1995.
  33. Kalnay, E., Kanamitsu, M., Kistler, R., Collins, W., Deaven, D., Gandin, L., Iredell, M., Saha, S., White, G., Woollen, J., Zhu, Y., Leetmaa, A., Reynolds, R., Chelliah, M., Ebisuzaki, W., Higgins, W., Janowiak, J., Mo, K. C., Ropelewski, C., Wang, J., Jenne, R., and Joseph, D.: The NCEP/NCAR 40-year reanalysis project, B. Am. Meteorol. Soc., 77, 437–471, https://doi.org/10.1175/1520-0477(1996)0772.0.CO;2, 1996. · DOI
  34. Kaufman, D. S. and Manley, W. F.: Pleistocene Maximum and Late Wisconsinan glacier extents across Alaska, USA, in: Quaternary Glaciations – Extent and Chronology, Part II, edited by: Ehlers, J. and Gibbard, P. L., Elsevier, 9–27, https://doi.org/10.1016/S1571-0866(04)80182-9, 2004. · DOI
  35. Kleman, J., Jansson, K., De Angelis, H., Stroeven, A., Hättestrand, C., Alm, G., and Glasser, N.: North American ice sheet build-up during the last glacial cycle, 115–21 kyr, Quaternary Sci. Rev., 29, 2036–2051, https://doi.org/10.1016/j.quascirev.2010.04.021, 2010. · DOI
  36. Langen, P. L., Solgaard, A. M., and Hvidberg, C. S.: Self-inhibiting growth of the Greenland ice sheet, Geophys. Res. Lett., 39, L12502, https://doi.org/10.1029/2012GL051810, 2012. · DOI
  37. Lingle, C. S. and Clark, J. A.: A numerical model of interactions between a marine ice sheet and the solid Earth: application to a West Antarctic ice stream, J. Geophys. Res., 90, 1100–1114, https://doi.org/10.1029/JC090iC01p01100, 1985. · DOI
  38. Margold, M., Jansson, K. N., Kleman, J., and Stroeven, A. P.: Glacial meltwater landforms of central British Columbia, J. Maps, 7, 486–506, https://doi.org/10.4113/jom.2011.1205, 2011. · DOI
  39. Marshall, S. J. and Clarke, G. K. C.: Modeling North American freshwater runoff through the Last Glacial Cycle, Quaternary Res., 52, 300–315, https://doi.org/10.1006/qres.1999.2079, 1999. · DOI
  40. Martin, M. A., Winkelmann, R., Haseloff, M., Albrecht, T., Bueler, E., Khroulev, C., and Levermann, A.: The Potsdam Parallel Ice Sheet Model (PISM-PIK) – Part 2: Dynamic equilibrium simulation of the Antarctic ice sheet, The Cryosphere, 5, 727–740, https://doi.org/10.5194/tc-5-727-2011, 2011. · DOI
  41. Mesinger, F., DiMego, G., Kalnay, E., Mitchell, K., Shafran, P. C., Ebisuzaki, W., Jović, D., Woollen, J., Rogers, E., Berbery, E. H., Ek, M. B., Fan, Y., Grumbine, R., Higgins, W., Li, H., Lin, Y., Manikin, G., Parrish, D., and Shi, W.: North American regional reanalysis, B. Am. Meteorol. Soc., 87, 343–360, https://doi.org/10.1175/BAMS-87-3-343, 2006. · DOI
  42. Neteler, M., Bowman, M., Landa, M., and Metz, M.: GRASS GIS: a multi-purpose Open Source GIS, Environ. Modell. Softw., 31, 124–130, https://doi.org/10.1016/j.envsoft.2011.11.014, 2011. · DOI
  43. Pattyn, F.: Antarctic subglacial conditions inferred from a hybrid ice sheet/ice stream model, Earth Planet. Sc. Lett., 295, 451–461, https://doi.org/10.1016/j.epsl.2010.04.025, 2010. · DOI
  44. Peltier, W. R.: Ice Age paleotopography, Sience, 265, 195–201, https://doi.org/10.1126/science.265.5169.195, 1994. · DOI
  45. Porter, S. C. and Swanson, T. W.: Radiocarbon age constraints on rates of advance and retreat of the Puget Lobe of the Cordilleran Ice Sheet during the last glaciation, Quaternary Res., 50, 205–213, https://doi.org/10.1006/qres.1998.2004, 1998. · DOI · Paper page
  46. Quiquet, A., Punge, H. J., Ritz, C., Fettweis, X., Gallée, H., Kageyama, M., Krinner, G., Salas y Mélia, D., and Sjolte, J.: Sensitivity of a Greenland ice sheet model to atmospheric forcing fields, The Cryosphere, 6, 999–1018, https://doi.org/10.5194/tc-6-999-2012, 2012. · DOI
  47. 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. · DOI
  48. Robert, B. L.: Modeling the Cordilleran ice sheet, Géogr. Phys. Quatern., 45, 287–299, https://doi.org/10.7202/032876ar, 1991. · DOI
  49. Rodgers, K. B., Charbit, S., Kageyama, M., Philippon, G., Ramstein, G., Ritz, C., Yin, J., Lohmann, G., Lorenz, S. J., and Khodri, M.: Sensitivity of Northern Hemispheric continental ice sheets to tropical SST during deglaciation, Geophys. Res. Lett., 31, L02206, https://doi.org/10.1029/2003GL018375, 2004. · DOI
  50. Rogozhina, I. and Rau, D.: Vital role of daily temperature variability in surface mass balance parameterizations of the Greenland Ice Sheet, The Cryosphere, 8, 575–585, https://doi.org/10.5194/tc-8-575-2014, 2014. · DOI
  51. Rogozhina, I., Hagedoorn, J. M., Martinec, Z., Fleming, K., Soucek, O., Greve, R., and Thomas, M.: Effects of uncertainties in the geothermal heat flux distribution on the Greenland ice sheet: an assessment of existing heat flow models, J. Geophys. Res., 117, F02025, https://doi.org/10.1029/2011JF002098, 2012. · DOI
  52. Saha, S., Moorthi, S., Pan, H.-L., Wu, X., Wang, J., Nadiga, S., Tripp, P., Kistler, R., Woollen, J., Behringer, D., Liu, H., Stokes, D., Grumbine, R., Gayno, G., Wang, J., Hou, Y.-T., Chuang, H.-Y., Juang, H.-M. H., Sela, J., Iredell, M., Treadon, R., Kleist, D., Delst, P. V., Keyser, D., Derber, J., Ek, M., Meng, J., Wei, H., Yang, R., Lord, S., van den Dool, H., Kumar, A., Wang, W., Long, C., Chelliah, M., Xue, Y., Huang, B., Schemm, J.-K., Ebisuzaki, W., Lin, R., Xie, P., Chen, M., Zhou, S., Higgins, W., Zou, C.-Z., Liu, Q., Chen, Y., Han, Y., Cucurull, L., Reynolds, R. W., Rutledge, G., and Goldberg, M.: The NCEP climate forecast system reanalysis, B. Am. Meteorol. Soc., 91, 1015–1057, https://doi.org/10.1175/2010BAMS3001.1, 2010. · DOI
  53. Seguinot, J.: Spatial and seasonal effects of temperature variability in a positive degree day surface melt model, J. Glaciol., 59, 1202–1204, https://doi.org/10.3189/2013JoG13J081, 2013. · DOI
  54. Shea, J. M., Moore, R. D., and Stahl, K.: Derivation of melt factors from glacier mass-balance records in western Canada, J. Glaciol., 55, 123–130, https://doi.org/10.3189/002214309788608886, 2009. · DOI
  55. Stroeven, A. P., Fabel, D., Codilean, A. T., Kleman, J., Clague, J. J., Miguens-Rodriguez, M., and Xu, S.: Investigating the glacial history of the northern sector of the Cordilleran ice sheet with cosmogenic 10Be concentrations in quartz, Quaternary Sci. Rev., 29, 3630–3643, https://doi.org/10.1016/j.quascirev.2010.07.010, 2010. · DOI · Paper page
  56. Stroeven, A. P., Fabel, D., Margold, M., Clague, J. J., and Xu, S.: Investigating absolute chronologies of glacial advances in the NW sector of the Cordilleran ice sheet with terrestrial in situ cosmogenic nuclides, Quaternary Sci. Rev., 92, 429–443, https://doi.org/10.1016/j.quascirev.2013.09.026, 2014. · DOI
  57. Tarasov, L. and Peltier, W. R.: Terminating the 100 kyr ice age cycle, J. Geophys. Res., 102, 21665–21693, https://doi.org/10.1029/97JD01766, 1997. · DOI
  58. Tarasov, L. and Peltier, W. R.: A geophysically constrained large ensemble analysis of the deglacial history of the North American ice-sheet complex, Quaternary Sci. Rev., 23, 359–388, https://doi.org/10.1016/j.quascirev.2003.08.004, 2004. · DOI
  59. Trabant, D. C. and Mayo, L. R.: Estimation and effects of internal accumulation on five glaciers in Alaska, Ann. Glaciol., 6, 113–117, 1985. · DOI
  60. Winkelmann, R., Martin, M. A., Haseloff, M., Albrecht, T., Bueler, E., Khroulev, C., and Levermann, A.: The Potsdam Parallel Ice Sheet Model (PISM-PIK) – Part 1: Model description, The Cryosphere, 5, 715–726, https://doi.org/10.5194/tc-5-715-2011, 2011. · DOI
  61. Yoshimori, M., Weaver, A. J., Marshall, S. J., and Clarke, G. K. C.: Glacial termination: sensitivity to orbital and CO2 forcing in a coupled climate system model, Clim. Dynam., 17, 571–588, https://doi.org/10.1007/s003820000134, 2001. · DOI
  62. Zweck, C. and Huybrechts, P.: Modeling of the Northern Hemisphere ice sheets during the last glacial cycle and glaciological sensitivity, J. Geophys. Res., 110, D07103, https://doi.org/10.1029/2004JD005489, 2005. · DOI

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Metadata

Authors
Seguinot, J., Khroulev, C., Rogozhina, I., Stroeven, A. P., & Zhang, Q.
ORCID
Venue
The Cryosphere
Publisher
Copernicus GmbH
Published
2014-06-23
Volume
8
Issue
3
Pages
1087-1103
ISSN
1994-0424
DOI
10.5194/tc-8-1087-2014
Cited by
24
References
1
Language
en
Licence
creativecommons.org/licenses/by/3.0/ (vor)

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