File:Changes of temperature of world 1500 2000 ad 01 01.png
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Captions
Summary
editDescriptionChanges of temperature of world 1500 2000 ad 01 01.png |
English: Changes of mean temperature of world 1500 - 2000 AD. Degrees Celsius, relative. |
Date | |
Source | Own work |
Author | Merikanto |
Last Millennium Reanalysis (LMR) Project Data Page - version 2
https://atmos.washington.edu/~hakim/lmr/LMRv2/
LMR v2.1
global-mean temperature
https://atmos.washington.edu/%7Ehakim/lmr/LMRv2/gmt_MCruns_ensemble_full_LMRv2.1.nc
Reference of data source
Tardif, R., G. J. Hakim, W. A. Perkins, K. A. Horlick, M. P. Erb, J. Emile-Geay, D. M. Anderson, E. J. Steig, and D. Noone, 2019: Last Millennium Reanalysis with an expanded proxy database and seasonal proxy modeling. Clim. Past, 15, 1251-1273, doi:10.5194/cp-15-1251-2019.
Anderson, D. M., R. Tardif, K. Horlick, M. P. Erb, G. J. Hakim, D. Noone, W. A. Perkins, E. J. Steig, 2019: Additions to the Last Millennium Reanalysis multi-proxy database. Data Science Journal, 18(1), doi:10.5334/dsj-2019-002.
-
- plot LMR data
- https://atmos.washington.edu/~hakim/lmr/LMRv2/
- Last Millennium Reanalysis (LMR) Project Data Page - version 2
- LMR v2.1
- python xarray
-
- 2023.05.13 0000.0000
-
import xarray as xr
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.colors as colors
from matplotlib.ticker import (MultipleLocator, AutoMinorLocator)
import matplotlib.ticker as tck
import datetime
import numpy as np
from scipy import interpolate
import scipy.signal
import math as math
captioni="Mean temperature changes of world between 1500 - 2000 AD"
- subtitle="deg C"
file_path = './data/gmt_MCruns_ensemble_full_LMRv2.1.nc'
- file_path = './data/nhmt_MCruns_ensemble_full_LMRv2.1.nc'
- file_path = './data/shmt_MCruns_ensemble_full_LMRv2.1.nc'
ds = xr.open_dataset(file_path)
k1=ds.gmt[:]
k2=np.array(k1)
- y=k2[:,1,1]
- y=np.mean(axis=1)
y=np.mean(k2, axis=(1, 2))
print(np.shape(y))
- quit(-1)
- for iy in range(100):
- for ix in range(20):
- y2=k2[:,ix,iy]
- plt.plot(y2,color="#000070", alpha=0.01, linewidth=1 )
yys1=[]
yys2=[]
for iy in range(100):
yys1.append(np.mean(k2, axis=2))
for iy in range(20):
yys2.append(np.mean(k2, axis=1))
print (np.shape(yys1[1]))
- quit()
- for iy in range(20):
- plt.plot(yys2[iy], color="#0000ff", alpha=0.01, linewidth=1 )
for iy in range(100):
plt.plot(yys1[iy], color="#8080ff", alpha=0.005, linewidth=1 )
plt.plot(y, color="#7f0000", alpha=0.8, linewidth=2)
- plt.grid(True)
plt.xlim(1500,2000)
- plt.ylim(-0.5, 0.2)
- plt.ylim(-1, 1)
plt.ylim(-0.7, 0.7)
- plt.axhline(y = ylimit1, color = 'g', linestyle = ':', linewidth=2)
- plt.locator_params(axis='x', nbins=10)
- plt.axis.xaxis.set_minor_locator(MultipleLocator(5))
- plt.axes().xaxis.set_minor_locator(MultipleLocator(5))
- plt.axes().yaxis.set_minor_locator(tck.AutoMinorLocator())
plt.gca().xaxis.set_major_locator(plt.MultipleLocator(100))
plt.gca().xaxis.set_minor_locator(plt.MultipleLocator(20))
- plt.gca().yaxis.set_major_locator(plt.MultipleLocator(100))
- plt.gca().yaxis.set_minor_locator(plt.MultipleLocator(10))
plt.grid(which='major', linestyle=':', linewidth='0.5', color='blue', alpha=.5)
- Customize the minor grid
plt.grid(which='minor', linestyle=':', linewidth='0.5', color='green', alpha=.5)
plt.title(captioni, fontsize=18, color="#0000af")
- plt.suptitle(subtitle,fontsize=14)
plt.xlabel('Year AD', color="darkgreen", fontsize=21)
plt.ylabel("Delta T deg Celsius", color="darkgreen", fontsize=21)
plt.xticks(fontsize=17)
plt.yticks(fontsize=17)
- plt.gca().invert_yaxis()
- mng = plt.get_current_fig_manager()
- mng.window.state('zoomed')
plt.savefig('figure.svg')
plt.show()
quit(-1)
Licensing
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Date/Time | Thumbnail | Dimensions | User | Comment | |
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current | 09:17, 13 May 2023 | 1,579 × 865 (172 KB) | Merikanto (talk | contribs) | Uploaded own work with UploadWizard |
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