File:H1-stadial ngrip delta o18 1.svg
Original file (SVG file, nominally 1,620 × 630 pixels, file size: 226 KB)
Captions
Captions
Summary edit
| Description |
English: Heinrich event H-1 in NGRIP ice core oxygen isotope data |
| Date | |
| Source | Own work |
| Author | Merikanto |
δ18O values and dust concentrations
The dataset provides NGRIP δ18O
values, dust concentrations, and GICC05 ages in 5cm depth resolution for the
period 0-60 ka (δ18O) and 10-60 ka (dust).
The dataset accompany the following papers:
NGRIP members, Nature, 431, 147-151, 2004. DOI: 10.1038/nature02805
Gkinis et al., Earth Planet. Sci. Lett., 405, 132-141, 2014. DOI:
10.1016/j.epsl.2014.08.022
Ruth et al., J. Geophys. Res., 108, 4098, 2003. DOI: 4010.1029/2002JD002376
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- drawing climate diagram in python 3
- version 4000.0002
- 6.10.2021
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import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from scipy import interpolate
from matplotlib.ticker import (MultipleLocator, AutoMinorLocator)
import scipy.signal
import matplotlib.colors as colors
import math as math
datafilename="ngrip1.csv"
captionibase=", NGRIP delta-O18"
captioni="Stadial GS-2 (H-1)"+captionibase
savename="ngrip_dryas.svg"
beginx=14500
endx=18000
- beginx=10500
- endx=11700
beginy=-34
endy=-40
beginy=-34
endy=-40
beginy=-32
endy=-42
beginy=-31
endy=-42
beginy=-35
endy=-49
- beginy=-30
- endy=-50
figsizex=18
figsizey=7
yearspan=math.fabs(endx-beginx)
dfin0=pd.read_csv(datafilename, sep=";")
lst1=['gicc05_age','delta_O18']
dfin1 = dfin0[dfin0.columns.intersection(lst1)]
x0=dfin1['gicc05_age']
y0=dfin1['delta_O18']
x=np.array(x0)
y=np.array(y0)
size0=14
size1=16
size2=18
size3=22
x_sm = np.array(x)
y_sm = np.array(y)
x_smooth = np.linspace(beginx,endx, yearspan*10)
funk1 = interpolate.interp1d(x_sm, y_sm, kind="cubic")
y_smooth = funk1(x_smooth)
y_savgol1 = scipy.signal.savgol_filter(y_smooth,11, 3)
y_savgol2 = scipy.signal.savgol_filter(y_smooth,501, 3)
- a=np.outer(np.ones(2),y_smooth)
a=np.outer(np.ones(2),y_savgol2)
cmap1="RdBu"
cmap1="hsv"
cmap1="seismic"
cmap1="bwr"
clam1="coolwarm1"
print (type(cmap1))
- fig=plt.gca()
- plt.figure(figsize=(figsizex, figsizey))
plt.rcParams["figure.figsize"] = [figsizex, figsizey]
- plt.imshow(a,aspect='auto', cmap=cmap1, extent=[beginx, endx,-50,-30], alpha=0.5)
plt.imshow(a,aspect='auto', cmap=cmap1, extent=[beginx, endx,endy,beginy], alpha=0.5)
plt.xlim(beginx, endx)
plt.ylim(endy, beginy)
plt.plot(x_smooth, y_savgol1, color="#0000ff", alpha=0.33, linewidth=1)
plt.plot(x_smooth, y_savgol2, color="#0000ff", linewidth=2)
plt.title(captioni, fontsize=size3, color="#0000af")
plt.xlabel('Age BP', color="darkgreen", fontsize=21)
plt.ylabel('delta-O18', color="darkgreen", fontsize=21)
plt.xticks(fontsize=17)
plt.yticks(fontsize=17)
plt.gca().invert_xaxis()
- mng = plt.get_current_fig_manager()
- mng.window.state('zoomed')
plt.savefig('figure.svg', dpi=120)
plt.show()
Licensing edit
- You are free:
- to share – to copy, distribute and transmit the work
- to remix – to adapt the work
- Under the following conditions:
- attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- share alike – If you remix, transform, or build upon the material, you must distribute your contributions under the same or compatible license as the original.
File history
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 17:21, 6 October 2021 | | 1,620 × 630 (226 KB) | Merikanto (talk | contribs) | Upload |
| 14:08, 15 September 2020 |  | 1,118 × 608 (146 KB) | Merikanto (talk | contribs) | Uploaded own work with UploadWizard |
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