EGU2020-7865
https://doi.org/10.5194/egusphere-egu2020-7865
EGU General Assembly 2020
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Greenland Ice Sheet surface runoff projections to AD2500 using degree-day model

Chao Yue1, Liyun Zhao1, and John C. Moore1,2
Chao Yue et al.
  • 1College of Global Change and Earth System Science, Beijing Normal University, Beijing, China (yuechao.bnu@gmail.com)
  • 2Arctic Centre, University of Lapland, Rovaniemi, Finland (john.moore.bnu@gmail.com)

      The Greenland ice sheet (GrIS) surface melt-water runoff dominates recent ice mass loss under global warming. We present runoff simulations during 1950-2500 over GrIS under RCP (Representative Concentration Pathways) 4.5, RCP8.5 and their extensions scenarios using three modified degree-day models, forced with five CMIP5 (Coupled Model Intercomparison Project) Earth System Models (CanESM2, BNU-ESM, HadGEM2-ES, MIROC-ESM and MIROC-ESM-CHEM). The degree-day factors are tuned at two sites on Greenland to best match the results by surface energy and mass balance model SEMIC. The modeled SMB over Greenland by modified degree-day models agree well with SEMIC in 21th century, then is applied to do projections for the 2100-2500 period. We also consider equilibrium line altitude evolution, surface topography changes and runoff-elevation feedback in the post-2100 simulations. The ensemble mean projected GrIS runoff is equivalent to sea-level rise of 7 cm (RCP4.5) and 10 cm (RCP8.5) by the end of the 21st century relative to the period 1950-2005, and 25cm (RCP4.5) and 121cm (RCP8.5) by 2500. Runoff-elevation feedback increases extra runoff of 7% (RCP4.5, RCP8.5) by 2100 and 23% (RCP4.5) and 22% (RCP8.5) by 2500. Sensitivity experiments show that 150% and 200% snowfall in post-2100 period would lead to 10% and 20% runoff increase under RCP4.5, 5% and 10% for RCP8.5, respectively.

How to cite: Yue, C., Zhao, L., and Moore, J. C.: Greenland Ice Sheet surface runoff projections to AD2500 using degree-day model, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-7865, https://doi.org/10.5194/egusphere-egu2020-7865, 2020.