EGU26-17009, updated on 14 Mar 2026
https://doi.org/10.5194/egusphere-egu26-17009
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Poster | Tuesday, 05 May, 10:45–12:30 (CEST), Display time Tuesday, 05 May, 08:30–12:30
 
Hall X5, X5.280
Surface Mass Balance Model CISSEMBEL linking ice sheets and ESMs: Results of standalone GrSMBMIP simulations
Christian Rodehacke1,2, Kristiina Verro1, Nicolaj Hansen1, Uta Krebs-Kanzow2, and Ruth Mottram1
Christian Rodehacke et al.
  • 1Danish Meteorological Institute, NCKF, Copenhagen, Denmark (cr@dmi.dk)
  • 2Alfred Wegener Institute Helmholtz-Center for Polar and Marine Research, Paleo Dynamik, Bremerhaven, Germany

When you want to know the future of the Greenland ice sheet, you are confronted with the question: What will be Greenland's surface mass balance (SMB) in the future? 

The Copenhagen Ice-Snow Surface Energy and Mass Balance Model (CISSEMBEL) is a unified surface mass balance model developed at the Danish Meteorological Institute (DMI) that serves dual purposes in climate modeling. First, it operates as a standalone model to compute surface mass balance (SMB) from a wide range of atmospheric forcing data, including reanalysis products, meteorological forecasts, and automatic weather station (AWS) observations. Second, it acts as an innovative coupling framework that integrates SMB modeling into an atmospheric model. Since CISSEMBEL corrects dynamically elevation differences between the coarsely resolved orography in global atmosphere models and the high-resolution target during runtime, CISSEMBEL delivers boundary conditions essential for accurate atmosphere-ice sheet interactions. Ultimately, it enables a seamless integration of Ice Sheet Models (ISMs) into Earth System Models (ESMs).

In this presentation, we show CISSEMBEL results following the protocol of the Greenland Ice Sheet (GrIS) SMB model intercomparison project (GrSMBMIP). We present results on the grid of the used EraInterim (EraI) forcing as well as higher-resolution simulations on an Ice Sheet Model Intercomparison (ISMIP) grid. Our model results show that initialization affects the final results. Also, the different downscaling approaches (directly to a higher-resolution target or via height classes) available in CISSEMBEL deliver similar results. Since various parameterizations are available, the user can analyze their impact on results and explore the consequences on the SMB that determines Greenland’s future.

How to cite: Rodehacke, C., Verro, K., Hansen, N., Krebs-Kanzow, U., and Mottram, R.: Surface Mass Balance Model CISSEMBEL linking ice sheets and ESMs: Results of standalone GrSMBMIP simulations, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17009, https://doi.org/10.5194/egusphere-egu26-17009, 2026.