File:Younger Dryas-Preboreal boundary on Ngrip 50 dataset.png

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Summary[edit]

Description
English: This file is GNUPLOT based on subset of NGRIP delta-oxygen data file Younger Dryas/Preboreal boundary on NGRIP ice core delta-oxygen 18/16 data set ftp://ftp.ncdc.noaa.gov/pub/data/paleo/icecore/greenland/summit/ngrip/isotopes/ngrip-d18o-50yr.txt
Date
Source Own work
Author Merikanto

Addtitional information[edit]

Source of data is

http://www.iceandclimate.nbi.ku.dk/data/ http://www.iceandclimate.nbi.ku.dk/data/NGRIP_d18O_and_dust_5cm.xls

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

    3. drawing climate diagram in python 3
    4. version 2.11
    5. 11.9.2020


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

def running_mean(x, N): 

   cumsum = np.cumsum(np.insert(x, 0, 0)) 
   return (cumsum[N:] - cumsum[:-N]) / float(N)


datafilename="ngrip1.csv" captioni="Younger Dryas-Preboreal boundary in NGRIP ice core" savename="ngrip_dryas.svg"

figsizex=16 figsizey=8

  1. x = []
  2. y = []
  3. y2= []


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']

  1. y20=dfin1['GISP_dO18']
  2. y30=dfin1['GISP2_dO18']


x=np.array(x0) y=np.array(y0)

  1. y2=np.array(y20)
  2. y3=np.array(y30)
  1. list1=[]
  1. list1.append(y)
  2. list1.append(y2)
  3. list1.append(y3)
  1. data1=np.array(list1)
  1. print (np.shape(data1))
  1. data_avg1=np.average(data1, axis=0)
  1. print(x)
  2. print(y)
  1. quit(0)

size0=14 size1=16 size2=18 size3=24


  1. y_savgol = scipy.signal.savgol_filter(y,31, 3)

y_savgol = scipy.signal.savgol_filter(y,71, 3)


  1. y_running = running_mean(y, 31)


x_sm = np.array(x) y_sm = np.array(y) x_smooth = np.linspace(x_sm.min(), x_sm.max(), 20000) funk1 = interpolate.interp1d(x_sm, y_sm, kind="cubic") y_smooth = funk1(x_smooth)


fig, ax1 = plt.subplots()


  1. ax1.axis((11600,14000,0,ymax1))

ax1.set_xlim(11200,12000)

  1. ax1.set_ylim(-30.0, -45.0)

ax1.set_ylim(-35.0, -42.0)


plt.gca().invert_xaxis() plt.gca().invert_yaxis()

ax1.set_ylabel('delta-O18', color='#0000ff', fontsize=size2+2)


ax1.plot(x,y, color="#a0a0ff", linewidth=1,label="NGRIP delta-O18")

  1. ax1.plot(x_smooth,y_smooth, color="#0000ff", linewidth=3,label="NGRIP delta-O18")

ax1.plot(x,y_savgol, color="#FF0000", linewidth=3, label="SavGol filter, 71 and 3")

  1. ax1.plot(x,y_running, color="#FF0000", linewidth=3)


  1. ax1.plot(x,data_avg1, color="#ff0000", linewidth=2, linestyle=":", label="Average of NGRIP, GISP, GISP2 delta-O18")


ax1.tick_params(axis='both', which='major', labelsize=size2)

ax1.xaxis.set_minor_locator(MultipleLocator(50)) ax1.xaxis.set_minor_locator(MultipleLocator(10))

ax1.yaxis.set_minor_locator(MultipleLocator(1.0)) ax1.yaxis.set_minor_locator(MultipleLocator(0.1))

ax1.grid(which='major', linestyle='-', linewidth='0.1', color='black') ax1.grid(which='minor', linestyle=':', linewidth='0.1', color='black')


ax1.set_xlabel('Age BP', color="darkgreen", fontsize=size2)


ax1.set_title(captioni, fontsize=size3, color="#0000af")

plt.legend(fontsize=size0)

fig = plt.gcf() fig.set_size_inches(figsizex, figsizey, forward=True)


plt.savefig(savename, format="svg", dpi = 100)

plt.show()



Licensing[edit]

I, the copyright holder of this work, hereby publish it under the following license:
w:en:Creative Commons
attribution share alike
This file is licensed under the Creative Commons Attribution-Share Alike 3.0 Unported license.
You are free:
  • to share – to copy, distribute and transmit the work
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Under the following conditions:
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  • 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.

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Date/TimeThumbnailDimensionsUserComment
current16:56, 12 September 2020Thumbnail for version as of 16:56, 12 September 20201,527 × 797 (310 KB)Merikanto (talk | contribs)New data and layout
12:33, 27 December 2013Thumbnail for version as of 12:33, 27 December 2013640 × 480 (8 KB)Merikanto~commonswiki (talk | contribs)User created page with UploadWizard

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