if __name__ == '__main__':
initial_length = 22000
glacier = Glacier(max_bed_height=3900, length=initial_length, slope=0.1)
elas = [2900, 3100, 2800, 2700, 3000, 2800, 3400, 3300, 3200, 3500]
time = np.arange(0, 501, step=1)
lengths = []
ela_index = 0
time_delta = 1
e_folding = 1 / math.e
e_year = None
e_length = None
for year in time:
lengths.append(glacier.length_over_time(time_delta, elas[ela_index]))
glacier.length = lengths[-1]
if 1 < year < 99 and (year % 10 == 9):
ela_index += 1
elif e_folding and (1 - (lengths[-1] / initial_length)) > e_folding:
e_year = year
e_length = lengths[-1]
e_folding = None
plt.figure(figsize=(12, 8))
plt.plot(time, lengths)
plt.scatter(e_year,
e_length,
marker='+',
s=300,
color='orange',
glacier = Glacier()
measured_length = []
linear_equilibrium_length = []
max_surfaces = []
ela = []
critical_ela = []
measured_thickness = []
mean_thickness = []
static_thickness = []
for basin, data in BASINS.items():
glacier.max_bed_height = data['bed_height']
glacier.length = data['length_of_segment']
glacier.slope = calc_slope(data['min_surface'], data['max_surface'],
data['length_of_segment'])
max_surfaces.append(data['max_surface'])
ela.append(glacier.ela_from_length())
critical_ela.append(glacier.critical_ela())
measured_length.append(data['length_of_segment'] / 1000)
linear_equilibrium_length.append(
glacier.linear_equilibrium_length(
ela[-1], thickness=data['mean_ice_thickness']) / 1000)
measured_thickness.append(data['mean_ice_thickness'])
mean_thickness.append(glacier.mean_thickness())
static_thickness.append(glacier.static_mean_thickness())
