Ice sheets and glaciers contribute to sea level rise as they lose mass due to enhanced climate warming. We focus on one of the largest ice sheets, the Greenland ice sheet. Passing a critical tipping point through positive melt-elevation feedback would trigger an irreversible process, resulting in the Greenland ice sheet no longer growing and hence rising the sea level by more than 7 meters.
Thus, the goal is to analyze the impacts of parameter uncertainties on a nonlinear and one-dimensional Greenland ice sheet model. To do this, probabilistic and sensitivity analyses are applied to the model. Further, an approach to analyze the sensitivity of the branches of equilibria of a bifurcation is given to gain more understanding about the model and to enhance its quality.