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updated scripts
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bearecinos committed Sep 6, 2019
1 parent c7435ee commit dedf407
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Showing 7 changed files with 133 additions and 268 deletions.
92 changes: 37 additions & 55 deletions cryo_plots/alaska_volume_per_config.py
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Original file line number Diff line number Diff line change
Expand Up @@ -96,40 +96,29 @@ def read_experiment_file_vbsl(filename):
exp_name = []
exp_number = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13]

#print(full_exp_name[0:13])

for f in full_exp_name[0:13]:
volume, tails, basedir = read_experiment_file(f)
volume_no_calving += [np.around(volume,2)]
exp_name += [basedir]
#print('Experiment name', exp_number)
#print('Volume before calving', volume_no_calving)

volume_no_calving_sle = []
for value in volume_no_calving:
volume_no_calving_sle.append(calculate_sea_level_equivalent(value))
#print('Volume before calving SLE', volume_no_calving_sle)

# Extract volumes for calving experiments
# Reading calving experiments contained in 4_2_With_calving_exp_onlyMT
#print(full_exp_name[8:len(full_exp_name)])
volume_calving = []
exp_name_c = []
exp_number_c = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13]


for f in full_exp_name[13:len(full_exp_name)]:
volume, tails, basedir= read_experiment_file(f)
volume_calving += [np.around(volume,2)]
exp_name_c += [basedir]
#print('Experiment name', exp_number_c)
#print('Volume after calving', volume_calving)


volume_calving_sle = []
for value in volume_calving:
volume_calving_sle.append(calculate_sea_level_equivalent(value))
#print('Volume after calving SLE', volume_calving_sle)

# Extract volumes from volume_below_sea_level.csv
# for the different configurations
Expand All @@ -144,7 +133,6 @@ def read_experiment_file_vbsl(filename):
d +'/volume_below_sea_level.csv'))

full_dir_name = sorted(full_dir_name)
#print(full_dir_name)

# Reading no calving volumes below sea level
vbsl = []
Expand All @@ -157,10 +145,6 @@ def read_experiment_file_vbsl(filename):
vbsl_c += [np.around(volume_c,2)]
exp_name_bsl += [tails]

# print('Experiment', exp_number)
# print('Volume bsl no calving', vbsl)
# print('Volume bsl calving', vbsl_c)

# sea level equivalent
vbsl_sle = []
vbsl_c_sle = []
Expand All @@ -169,18 +153,18 @@ def read_experiment_file_vbsl(filename):
vbsl_sle.append(calculate_sea_level_equivalent(i))
vbsl_c_sle.append(calculate_sea_level_equivalent(j))

#print('Volume bsl no calving in s.l.e', vbsl_sle)
#print('Volume bsl calving in s.l.e', vbsl_c_sle)

percentage = []
for i, j in zip(volume_no_calving, volume_calving):
percentage.append(calculate_volume_percentage(i,j))

print('FOR THE PAPER')
print('----------------')
print('Percentage', min(percentage), max(percentage))

print('Percent for columbia', calculate_volume_percentage(270.40, 349.39))
print('Gt equivalent columbia', 2.98161468959857/1.091)

# Make a dataframe with each configuration output
d = {'Experiment No': exp_number,
'Volume no calving in s.l.e': volume_no_calving_sle,
'Volume no calving bsl in s.l.e': vbsl_sle,
Expand All @@ -195,40 +179,56 @@ def read_experiment_file_vbsl(filename):
'Volume differences in km3':
[np.abs(a - b) for a, b in zip(volume_no_calving,volume_calving)]
}

ds = pd.DataFrame(data=d)

ds = ds.sort_values(by=['Experiment No'])
ds.to_csv(os.path.join(plot_path,
'MT_glaciers_volume_per_exp.csv'))
print('----------- For de paper ------------------')
print('Mean and std volume with calving',
np.round(np.mean(volume_calving_sle),2), np.round(np.std(volume_calving_sle),2))
print('Mean and std volume no calving',
np.round(np.mean(volume_no_calving_sle),2), np.round(np.std(volume_no_calving_sle),2))

print('----------- For de paper more information ------------------')

print('Mean and std volume with calving for all config',
np.round(np.mean(volume_calving_sle),2),
np.round(np.std(volume_calving_sle),2))

print('Mean and std volume no calving for all config',
np.round(np.mean(volume_no_calving_sle),2),
np.round(np.std(volume_no_calving_sle),2))

print('Mean and std volume below sea level with calving',
np.round(np.mean(vbsl_c_sle),2), np.round(np.std(vbsl_c_sle),2))
np.round(np.mean(vbsl_c_sle),2),
np.round(np.std(vbsl_c_sle),2))

print('Mean and std volume below sea level without calving',
np.round(np.mean(vbsl_sle),2), np.round(np.std(vbsl_sle),2))
np.round(np.mean(vbsl_sle),2),
np.round(np.std(vbsl_sle),2))

print('TABLE',ds)

print('is vbsl bigger than differnces', vbsl_c > ds['Volume differences in km3'].values)
print('For the paper check if the volume below sea level is bigger than diff among config.')
print(vbsl_c > ds['Volume differences in km3'].values)

diff_config = np.diff(volume_calving)

total = abs(diff_config / volume_calving[0:-1])*100

print('volume after calving differences between configs', total)


# Reading Farinotti 2019 regional volume for MT glaciers.
farinotti_data = pd.read_csv(os.path.join(MAIN_PATH,
'input_data/farinotti_volume.csv'))
#Sum the volumes in farinotti data
vol_fari = farinotti_data['vol_itmix_m3'].sum()*1e-9
vol_bsl_fari = farinotti_data['vol_bsl_itmix_m3'].sum()*1e-9

#print(farinotti_data)

print('FOR THE PAPER')
print('our estimate after calving', np.round(np.mean(volume_calving_sle),2))
print('farinotti', calculate_sea_level_equivalent(vol_fari))
print('percentage of vol change',
calculate_volume_percentage(np.mean(volume_calving),vol_fari))

# Plot settings
# Plot everything!
# Set figure width and height in cm
width_cm = 12
height_cm = 8
Expand All @@ -249,26 +249,13 @@ def read_experiment_file_vbsl(filename):
ind = np.arange(N)
graph_width = 0.35
labels = np.append(ds['Experiment No'].values, 14)
print(labels)

vol_fari = farinotti_data['vol_itmix_m3'].sum()*1e-9
vol_bsl_fari = farinotti_data['vol_bsl_itmix_m3'].sum()*1e-9



bars1 = np.append(ds['Volume no calving bsl km3'].values, vol_bsl_fari)
bars2 = np.append(ds['Volume no calving in km3'].values, vol_fari)
#print(bars2)

bars3 = ds['Volume with calving bsl km3'].values
bars4 = ds['Volume with calving in km3'].values





print(bars1)

sns.set_color_codes()
sns.set_color_codes("colorblind")

Expand All @@ -277,53 +264,48 @@ def read_experiment_file_vbsl(filename):

p1_extra = ax1.barh(ind[8:13], bars1[8:13]*-1,
color="indianred", edgecolor="white", height=graph_width,
alpha=0.7)
alpha=0.5)

p2 = ax1.barh(ind[0:8], bars2[0:8], color=sns.xkcd_rgb["ocean blue"],
height=graph_width, edgecolor="white")

p2_extra = ax1.barh(ind[8:13], bars2[8:13], color=sns.xkcd_rgb["ocean blue"],
height=graph_width, edgecolor="white",
alpha=0.7)
alpha=0.5)

p3 = ax1.barh(ind[0:8] - graph_width, bars3[0:8]*-1,
color="indianred",edgecolor="white", height=graph_width)

p3_extra = ax1.barh(ind[8:13] - graph_width, bars3[8:13]*-1,
color="indianred", edgecolor="white", alpha=0.7,
color="indianred", edgecolor="white", alpha=0.5,
height=graph_width)

p4 = ax1.barh(ind[0:8] - graph_width, bars4[0:8], color=sns.xkcd_rgb["teal green"],
edgecolor="white",
height=graph_width)

p4_extra = ax1.barh(ind[8:13] - graph_width, bars4[8:13], color=sns.xkcd_rgb["teal green"],
edgecolor="white", alpha=0.7,
edgecolor="white", alpha=0.5,
height=graph_width)

fari_low = ax1.barh(ind[-1]-graph_width, bars1[13:14]*-1, color="indianred",
edgecolor="white", alpha=0.7,
edgecolor="white",
height=graph_width)

fari = ax1.barh(ind[-1]-graph_width, bars2[13:14], color=sns.xkcd_rgb["grey"],
edgecolor="white", height=graph_width)


ax1.set_xticks([-1000, 0, 1000, 2000, 3000, 4000, 5000])
ax1.set_xticklabels(abs(ax1.get_xticks()), fontsize=20)

#ax1.plot(bars5, 13)

ax2.set_xlim(ax1.get_xlim())
#ax2.tick_params('Volume [mm SLE]', fontsize=20)
ax2.set_xticks(ax1.get_xticks())
array = ax1.get_xticks()
#print(array)

# Get the other axis on sea level equivalent
sle = []
for value in array:
sle.append(np.round(abs(calculate_sea_level_equivalent(value)),2))
#print(sle)

ax2.set_xticklabels(sle,fontsize=20)
ax2.set_xlabel('Volume [mm SLE]', fontsize=18)
Expand Down
16 changes: 0 additions & 16 deletions cryo_plots/calculate_volume_below_sea_level.py
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Original file line number Diff line number Diff line change
Expand Up @@ -76,22 +76,6 @@
thick_c = cc['thick']
vol_c = cc['volume']

## TODO: delete this part because now I dont have the flowline shortage
## problem
# if len(surface) != len(thick):
# plt.figure()
# plt.plot(surface, color='r')
# plt.plot(thick, color='grey')
# plt.title(
# 'Glacier ' + gdir.rgi_id + ' flowline No.' + np.str(f) +
# ' out of ' + np.str(len(fls)))
# plt.savefig(os.path.join(cfg.PATHS['working_dir'],
# gdir.rgi_id + '_' + np.str(
# f) + '.png'))
# # Warning('({}) something went wrong with the '
# # 'inversion'.format(gdir.rgi_id))
# pass
# else:
bed = surface - thick
bed_c = surface - thick_c

Expand Down
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