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File:Sunspot-co2.jpg

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  • English: Global average temperature, atmospheric CO2, and sunspot activity since 1850. Thick lines for temperature and sunspots represent a 25 year moving average smoothing of the raw data
Français : Evolution récente de la température mondiale moyenne et du taux moyen de CO2 atmosphérique, comparé à l'activité des w:fr:taches solairestaches solaires depuis 1850. Les lignes épaisses de variation de température et de taches solaires représentent un lissage des données (sur 25 années de données brutes)

Source edit

on en Wikipédia

Data Sources edit

  1. (light blue) Law Dome CO2 Data: ftp://ftp.ncdc.noaa.gov/pub/data/paleo/icecore/antarctica/law/law_co2.txt
  2. (blue) Mauna Loa CO2 data:http://www.esrl.noaa.gov/gmd/ccgg/trends/co2_mm_mlo.dat
  3. (red) Temperature Data: http://www.cru.uea.ac.uk/cru/data/temperature/hadcrut3gl.txt archive copy at the Wayback Machine
  4. (orange) Sunspot data:http://sidc.oma.be/DATA/yearssn.dat archive copy at the Wayback Machine

Plot Generation edit

 
This plot was created with Matplotlib.

The plot was generated by the following Python script: 

# -*- coding: utf-8 -*-
import numpy as np
import matplotlib.pylab as plt
import urllib
 
def smooth(signal, window_size):
    extended_signal = signal[window_size:0:-1] + signal + signal[-1:-window_size:-1]
    s = np.array(extended_signal)
    w = np.hamming(window_size)
    y = np.convolve(w/w.sum(), s, mode="same")
    return y[window_size:-window_size+1]
 
temp_file = urllib.urlopen("http://www.cru.uea.ac.uk/cru/data/temperature/hadcrut3gl.txt")
data_rows = [x.split() for x in temp_file][0:-1:2]
temp_years = [int(x[0]) for x in data_rows]
temps = [float(x[-1]) for x in data_rows]
 
#co2_file = urllib.urlopen("http://web.archive.org/web/20070829134646/http://www.esrl.noaa.gov/gmd/ccgg/trends/co2_mm_mlo.dat")
co2_file = urllib.urlopen("ftp://ftp.cmdl.noaa.gov/ccg/co2/trends/co2_mm_mlo.txt")
data_rows = [x.split() for x in co2_file if not x.startswith("#") and x.find("-99.99") == -1]
co2_years = [(float(x[0]) + (float(x[1])-0.5)/12.) for x in data_rows]
co2concs = [float(x[3]) for x in data_rows]
 
lawco2_file = urllib.urlopen("ftp://ftp.ncdc.noaa.gov/pub/data/paleo/icecore/antarctica/law/law_co2.txt")
data_rows = [x.split() for x in lawco2_file if x.startswith("     1")]
del data_rows[[float(x[0]) for x in data_rows].index(1010.):]
lawco2_years = [float(x[0]) for x in data_rows]
lawco2concs = [float(x[-1]) for x in data_rows]
 
sunspot_file = urllib.urlopen("http://sidc.oma.be/DATA/yearssn.dat")
data_rows = [x.split() for x in sunspot_file if "*" not in x]
sun_years = [float(x[0]) for x in data_rows]
sunspots = [float(x[-1]) for x in data_rows]
 
smoothed_temps = smooth(temps, 25)
smoothed_sunspots = smooth(sunspots, 25)
 
base_ax = plt.axes()
base_ax.yaxis.tick_left()
plt.yticks([])
plt.xlim(1850,2012)
plt.xlabel("Year", size=16)
plt.title("Temperature, CO$_2$, and Sunspots", size=22)
 
temp_ax = plt.axes([0.125,0.5,0.775,0.4], frameon=False)
temp_ax.yaxis.tick_left()
plt.plot(temp_years, temps, '#FF2200')
tline  = plt.plot(temp_years, smoothed_temps, '#AA0000', lw=3)
plt.xlim(1850,2012)
plt.yticks(np.arange(-0.6,0.6,0.2))
plt.ylabel(u'Temperature anomaly (C)', size=14)
plt.xticks([])
 
co2_ax = plt.axes([0.125,0.3,0.775,0.4], frameon=False)
co2_ax.yaxis.tick_right()
co2_ax.yaxis.set_label_position("right")
co2_ax.xaxis.tick_bottom()
plt.plot(co2_years, co2concs, '#44AAFF')
cline = plt.plot(lawco2_years, lawco2concs, '#2288EE', lw=2)
plt.xlim(1850,2012)
plt.ylabel(r'CO$_2$ (ppm)', size=14)
plt.xticks([])
 
sun_ax = plt.axes([0.125,0.1,0.775,0.4], frameon=False)
sun_ax.yaxis.tick_left()
plt.plot(sun_years, sunspots, "#FFDD00")
sline = plt.plot(sun_years, smoothed_sunspots, "#FF9900", lw=3)
plt.xlim(1850,2012)
plt.yticks(np.arange(0,200,50))
plt.ylabel("Sunspot number", size=14)
plt.xticks([])
 
plt.axes(base_ax)
plt.legend((tline, cline, sline), ("Temperature", "CO$_2$", "Sunspots"), "upper left")
plt.savefig("temp-co2-sunspot.svg")
plt.show()

The plot can likely be updated for more recent data using these same script, though minor modifications may be required for changes in data formats, locations, etc.

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. Subject to disclaimers.
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This licensing tag was added to this file as part of the GFDL licensing update.
GNU head Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in the section entitled GNU Free Documentation License. Subject to disclaimers.

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current10:12, 17 June 2007Thumbnail for version as of 10:12, 17 June 2007971 × 782 (71 KB)Szdori (talk | contribs)*en: Global average temperature, atmospheric CO2, and sunspot activity since 1850. *Source: [http://en.wikipedia.org/wiki/Image:Temp-sunspot-co2.svg] {{GFDL-self-with-disclaimers}}

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