File:Slushball earth temperature s 1p0sol co2 2.5ppm 2.png
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DescriptionSlushball earth temperature s 1p0sol co2 2.5ppm 2.png |
English: Temperature of snowball Earth throughout the year if CO2 1 ppmv and S=1 sol |
Date | |
Source | Own work |
Author | Merikanto |
Python climlab source code |
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####################################3
#
## slushball Earth
#
## seasonal climlab energy balance model
# python3/climlab code
#
# 23.10.2023 0000.0004a
#
##########################3
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import cm
import climlab
from climlab import constants as const
from climlab.process.diagnostic import DiagnosticProcess
from climlab.domain.field import Field, global_mean
numyears=10
plotvar=0 ## 1,2,3 lot temp, ice, mean albedo
S1=1365.2*1
#S1=1361*0.93
co2=2.5
orbit={'ecc': 0.0167643, 'long_peri': 280.32687, 'obliquity': 23.459277, 'S0':S1}
#orbit={'ecc': 0.0, 'long_peri': 0.0, 'obliquity': 0.0, 'S0':S1}
title0=' Slushball Earth '
title1='Temperatures throughout the year °C \n if S0 = '+ str(S1) +' W m-2 , pressure of CO2 = '+str(co2)+' ppm volume'
class tanalbedo(DiagnosticProcess):
def __init__(self, **kwargs):
super(tanalbedo, self).__init__(**kwargs)
self.add_diagnostic('albedo')
Ts = self.state['Ts']
self._compute_fixed()
def _compute_fixed(self):
Ts = self.state['Ts']
try:
lon, lat = np.meshgrid(self.lon, self.lat)
except:
lat = self.lat
phi = lat
try:
albedo=np.zeros(len(phi));
albedo=0.42-0.20*np.tanh(0.052*(Ts-3))
except:
albedo = np.zeros_like(phi)
dom = next(iter(self.domains.values()))
self.albedo = Field(albedo, domain=dom)
def _compute(self):
self._compute_fixed()
return {}
# creating EBM model
#ebm= climlab.EBM(CO2=co2,orbit={'ecc': 0.0167643, 'long_peri': 280.32687, 'obliquity': 23.459277, 'S0':S1})
ebm0= climlab.EBM_seasonal(water_depth=10.0, a0=0.3, num_lat=90, lum_lon=None, num_lev=10,num_lon=None
, orbit=orbit)
ebm=climlab.process_like(ebm0)
#ebm.step_forward()
#print(ebm.diagnostics)
#quit(-1)
surface = ebm.domains['Ts']
# define new insolation and SW process
ebm.remove_subprocess('insolation')
insolation = climlab.radiation.DailyInsolation(domains=surface, orb = orbit, **ebm.param)
insolation.S0=S1
##sun = climlab.radiation.DailyInsolation(domains=model.Ts.domain)
ebm.add_subprocess('insolation', insolation)
#ebm.step_forward()
#print(insolation.diagnostics)
#print (insolation.insolation)
#print (np.max(insolation.insolation))
##print(insolation.S0)
#quit(-1)
ebm.remove_subprocess('albedo')
alb = climlab.surface.albedo.StepFunctionAlbedo(state=ebm.state, Tf=-10, **ebm.param)
#alb = climlab.surface.albedo.ConstantAlbedo(domains=surface, **ebm.param)
#alb = tanalbedo(state=ebm.state, **ebm.param)
ebm.add_subprocess('albedo', alb)
ebm.remove_subprocess('SW')
SW = climlab.radiation.absorbed_shorwave.SimpleAbsorbedShortwave(insolation=insolation.insolation, state = ebm.state, albedo = alb.albedo, **ebm.param)
ebm.add_subprocess('SW', SW)
ebm.remove_subprocess('Lw')
LW = climlab.radiation.aplusbt.AplusBT_CO2(CO2=co2,state=ebm.state, **ebm.param)
ebm.add_subprocess('LW', LW)
#print(SW.diagnostics)
#quit(-1)
#ebm.CO2=co2
ebm.remove_subprocess('diffusion')
diff = climlab.dynamics.MeridionalMoistDiffusion(state=ebm.state, timestep=ebm.timestep)
ebm.add_subprocess('diffusion', diff)
#print (ebm)
ebm.step_forward()
#ebm.diagnostics
#ebm.integrate_years(numyears)
ebm.integrate_converge()
#print(ebm.Ts)
#plt.plot(ebm.Ts)
#plt.show()
num_steps_per_year = int(ebm.time['num_steps_per_year'])
mean_year = np.empty(num_steps_per_year)
for m in range(num_steps_per_year):
ebm.step_forward()
mean_year[m] = ebm.global_mean_temperature()
Tmean_year = np.mean(mean_year)
print(round(Tmean_year,2))
if(plotvar==0):
num_steps_per_year = int(ebm.time['num_steps_per_year'])
Tyear = np.empty((ebm.lat.size, num_steps_per_year))
for m in range(num_steps_per_year):
ebm.step_forward()
Tyear[:,m] = np.squeeze(ebm.Ts)
Tmin=np.min(Tyear)
Tmax=np.max(Tyear)
fig = plt.figure(figsize=(5,5))
ax = fig.add_subplot(111)
factor = 365. / num_steps_per_year
#cmap1=plt.cm.seismic
#cmap1=plt.cm.turbo
cmap1=plt.cm.coolwarm
#cmap1=plt.cm.winter
#cmap1=plt.cm.cool_r
#cmap1=plt.cm.cool
#cmap1=cmap1.reversed()
#levels1=[-80,-70,-60,-50,-40,-30]
levels2=[-200,-100,-70,-60,-50,-40,-30,-20,-10,0,10,20,30,40,50,60,80,100,200,300,500]
Tminv=-100
Tmaxv=120
#cax = ax.contourf(factor * np.arange(num_steps_per_year),
# ebm.lat, Tyear[:,:],
# cmap=cmap1, vmin=Tminv, vmax=Tmaxv, antialiased=False, levels=256)
ax.imshow(Tyear[:,:],origin="lower", extent=[0,360,-90,90],cmap=cmap1, vmin=Tminv, vmax=Tmaxv, interpolation="bicubic")
cs1 = ax.contour(factor * np.arange(num_steps_per_year),ebm.lat, Tyear[:,:], origin="lower", extent=[0,360,-90,90],colors='#00005f', vmin=Tminv, vmax=Tmaxv, levels=levels2)
ax.clabel(cs1, cs1.levels, inline=True, fontsize=14)
#cbar1 = plt.colorbar(cax)
ax.set_title(title1, fontsize=12)
fig.suptitle(title0, fontsize=22)
##ax_set_suptitle(title0, fontsize=18)
ax.tick_params(axis='x', labelsize=12)
ax.tick_params(axis='y', labelsize=12)
ax.set_xlabel('Days of year', fontsize=13)
ax.set_ylabel('Latitude', fontsize=13)
plt.tight_layout()
plt.savefig('1000dpi.svg', dpi=1000)
if(plotvar==1):
if 'Tf' in ebm.subprocess['albedo'].param.keys():
Tf = ebm.subprocess['albedo'].param['Tf']
else:
print('No ice considered in this model. Can not plot.')
num_steps_per_year = int(ebm.time['num_steps_per_year'])
ice_year = np.empty((ebm.lat.size, num_steps_per_year))
for m in range(num_steps_per_year):
ebm.step_forward()
ice_year[:,m] = np.where(np.squeeze(ebm.Ts) <= Tf, 0, 1)
fig = plt.figure(figsize=(5,5))
ax = fig.add_subplot(111)
factor = 365. / num_steps_per_year
cax = ax.contourf(factor * np.arange(num_steps_per_year),
ebm.lat, ice_year[:,:],
cmap=plt.cm.seismic, vmin=0, vmax=1, levels=2)
cbar1 = plt.colorbar(cax)
ax.set_title('Ice throughout the year', fontsize=14)
ax.set_xlabel('Days of year', fontsize=14)
ax.set_ylabel('Latitude', fontsize=14)
if(plotvar==2):
fig = plt.figure(figsize=(7.5,5))
# Temperature plot
ax2 = fig.add_subplot(111)
ax2.plot(ebm.lat,ebm.albedo)
ax2.set_title('Albedo', fontsize=14)
ax2.set_xlabel('latitude', fontsize=10)
ax2.set_ylabel('', fontsize=12)
ax2.set_xticks([-90,-60,-30,0,30,60,90])
ax2.set_xlim([-90,90])
ax2.set_ylim([0,1])
ax2.grid()
plt.show()
plt.show()
|
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Date/Time | Thumbnail | Dimensions | User | Comment | |
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current | 06:39, 23 October 2023 | 1,011 × 574 (163 KB) | Merikanto (talk | contribs) | Update of code | |
15:18, 17 May 2023 | 1,350 × 718 (163 KB) | Merikanto (talk | contribs) | Uploaded own work with UploadWizard |
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