Code for a Minimum Glacier Model (MGM), written for an assignment for the course Ice and Climate. Here, the model is applied to the glacier Veteranen on Spitsbergen.
First import the modules:
from glacier import *
Then a glacier can be 'created' with
glacier = LinearBedModel(b0, s)
glacier = ConcaveBedModel(b0, ba, xl)
glacier = CustomBedModel(x, y)
where the first line creates a model for a linear bed with maximum bed elevation b0 and slope s,
the second line creates a model for an exponentially decreasing bed with top elevation b0, final elevation ba and length-scale xl
and the third line creates a model for a custom bed given by two arrays x with x-coordinates and y with corresponding y-coordinates.
Other parameters are for example the ice parameters alpha, beta and nu and the calving parameters c and kappa.
The glacier can be simulated in time (using a Forward Euler scheme) by using
glacier.integrate(dt, time, E)
where dt is the timestep, time is the simulated time and E is the equilibrium line altitude.
The result can be plotted using the data in glacier.t for time and glacier.L for glacier length or using the function
glacier.plot()
For full explanation, see the notebooks.
