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a list of relevant papers

papers we read in the basal-sliding reading class (fall 2023):

  • Brondex, J., Gagliardini, O., Gillet-Chaulet, F. and Durand, G., 2017. Sensitivity of grounding line dynamics to the choice of the friction law. Journal of Glaciology, 63(241), pp.854-866. url
  • Kamb, B. and LaChapelle, E., 1964. Direct observation of the mechanism of glacier sliding over bedrock. Journal of Glaciology, 5(38), pp.159-172. url
  • Schoof, C., 2005. The effect of cavitation on glacier sliding. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 461(2055), pp.609-627.url
  • Gimbert, F., Gilbert, A., Gagliardini, O., Vincent, C. and Moreau, L., 2021. Do existing theories explain seasonal to multi‐decadal changes in glacier basal sliding speed?. Geophysical Research Letters, 48(15), p.e2021GL092858. url
  • Zoet, L.K. and Iverson, N.R., 2020. A slip law for glaciers on deformable beds. Science, 368(6486), pp.76-78. url
  • Iken, A., 1981. The effect of the subglacial water pressure on the sliding velocity of a glacier in an idealized numerical model. Journal of Glaciology, 27(97), pp.407-421.url
  • Hoffman, A.O., Christianson, K., Holschuh, N., Case, E., Kingslake, J. and Arthern, R., 2022. The impact of basal roughness on inland Thwaites Glacier sliding. Geophysical Research Letters, 49(14), p.e2021GL096564. url

ML-glaciology papers:

  • Riel, B., Minchew, B. and Bischoff, T., 2021. Data‐driven inference of the mechanics of slip along glacier beds using physics‐informed neural networks: Case study on rutford ice stream, Antarctica. Journal of Advances in Modeling Earth Systems, 13(11), p.e2021MS002621. url
  • Bolibar, J., Sapienza, F., Maussion, F., Lguensat, R., Wouters, B. and Pérez, F., 2023. Universal Differential Equations for glacier ice flow modelling. Geoscientific Model Development Discussions, 2023, pp.1-26. url
  • Jouvet, G., Cordonnier, G., Kim, B., Lüthi, M., Vieli, A. and Aschwanden, A., 2022. Deep learning speeds up ice flow modelling by several orders of magnitude. Journal of Glaciology, 68(270), pp.651-664.url
  • Jouvet, G., 2023. Inversion of a Stokes glacier flow model emulated by deep learning. Journal of Glaciology, 69(273), pp.13-26. url
  • Wang, Y., Lai, C.Y. and Cowen-Breen, C., 2022. Discovering the rheology of Antarctic Ice Shelves via physics-informed deep learning. (preprint) url

bed properties papers:

  • Aitken, A.R., Li, L., Kulessa, B., Schroeder, D.M., Jordan, T.A., Whittaker, J.M., Anandakrishnan, S., Dawson, E.J., Wiens, D.A., Eisen, O. and Siegert, M.J., 2023. Antarctic sedimentary basins and their influence on ice sheet dynamics. Authorea Preprints. url
  • Jordan, T.A., Riley, T.R. and Siddoway, C.S., 2020. The geological history and evolution of West Antarctica. Nature Reviews Earth & Environment, 1(2), pp.117-133.url