File:Wdc ice core winter deltad last 6000 years 1.svg

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Captions

Captions

Wdc ice core winter delta-D last 6000 years

Summary[edit]

Description
English: Wdc ice core winter delta-D last 6000 years
Date
Source Own work
Author Merikanto

Source of data

Jones, T.R., Cuffey, K.M., Roberts, W.H.G. et al. Seasonal temperatures in West Antarctica during the Holocene. Nature 613, 292–297 (2023). https://doi.org/10.1038/s41586-022-05411-8

https://www.nature.com/articles/s41586-022-05411-8#Sec26

Original sources of data Note: The raw and diffusion-corrected data used to create this panel can be found at the following DOIs, and is also included here.

Raw WDC water-isotope data citations Jones, T. R. et al. "Mid-Holocene high-resolution water isotope time series for the WAIS Divide ice core”. U.S. Antarctic Program (USAP) Data Center. (2020). doi: https://doi.org/10.15784/601326.

White, J. W. C. et al. "Stable Isotopes of Ice in the Transition and Glacial Sections of the WAIS Divide Deep Ice Core" U.S. Antarctic Program (USAP) Data Center. (2019). doi: https://doi.org/10.15784/601274.

Raw data citation for data in the range 0-31 ka, in addition to the above citations Jones, T. R., Roberts, W. H. G., Steig, E. J., Cuffey, K. M., Markle, B. R., & White, J. W. C. Southern Hemisphere climate variability forced by Northern Hemisphere ice-sheet topography. Nature, 554, 351-355 (2018).

Diffusion-corrected WDC water-isotope data citation Jones, T. R. (2022) "Seasonal temperatures in West Antarctica during the Holocene " U.S. Antarctic Program (USAP) Data Center. doi: https://doi.org/10.15784/601603.

Diffusion-corrected data citation in the range 0-11 ka (this study), in addition to the above citations Jones, T. R., Cuffey, K. M., Roberts, W. H. G., Markle, B. R., Steig, E. J., Stevens, C. M., Valdes, P. J., Fudge, T. J., Sigl, M., Hughes, A. G., Morris, V., Vaughn, B. H., Garland, J., Vinther, B. M., Rozmiarek, K. S., Brashear, C. A., & White, J. W. C. (2022, in press). Seasonal temperatures in West Antarctica during the Holocene. Nature.

Python3 code to plot processed data

    1. plot curcve from csv, savgol filter
    1. 27.12.2023 v 0000.0000

import math import numpy as np import matplotlib.pyplot as plt

import pandas as pd

from scipy.signal import savgol_filter

infile1="./a6/41586_2022_5411_MOESM5_ESM_2_2.csv"

  1. title1="Holocene WDC ice core winter delta-D"

title1="Last 6000 years in WDC ice core winter delta-D"

xlabel1="Year AD" ylabel1="Delta-D"

xbegin1=-4000 xend1=2000

column0=3 column1=4

df00 = pd.read_csv(infile1, delimiter=";")

print(df00.head(n=1))

  1. df01=df00["Age"].replace(',', '.', inplace=True)

df01=df00.replace(',', '.', regex=True)

  1. print(df01)

x01=np.array(df01[df01.columns[column0]]).astype(float)

y01=np.array(df01[df01.columns[column1]]).astype(float) ## winter

  1. y01=np.array(df01[df01.columns[1]]).astype(float) ## winter
    1. ka bp to years bc/ad :

x02=(1.95-x01)*1000

  1. print(x01)

ys1=savgol_filter(y01, 20, 2, mode='nearest') ys2=savgol_filter(y01, 50, 2, mode='nearest') ys3=savgol_filter(y01, 100, 2, mode='nearest')

plt.plot(x02,y01, color="#0000ff") plt.plot(x02,ys1, color="#00007f") plt.plot(x02,ys2, color="#ff0000")

  1. plt.plot(x02,ys3, color="#3f0000")
  1. plt.xlim((11,0))

plt.xlim((xbegin1, xend1))

plt.xlabel(xlabel1, size=20) plt.ylabel(ylabel1, size=20) plt.xticks(size=18) plt.yticks(size=18)

plt.title(title1, size=24)

plt.grid()

plt.show()

  1. Age;Maximum_Annual_Water-Isotope_Value;;Age;Minimum_Annual_Water-Isotope_Value

Licensing[edit]

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Date/TimeThumbnailDimensionsUserComment
current14:46, 27 December 2023Thumbnail for version as of 14:46, 27 December 20231,252 × 684 (359 KB)Merikanto (talk | contribs)Uploaded own work with UploadWizard

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