The Azimuth Project Carbon image gallery

Annual average atmospheric $CO_2$ concentrations at eight sites across the globe (data taken from the SIO Air Sampling Network) The following chart shows the annual change in $CO_2$ concentration for Antarctica from the above data set: The following chart shows the annual change in $CO_2$ concentration for the Vostok data set: Note: The data used for the horizontal axis above is the “Age of Ice”. In some cases, the slope was undefined because the data had the same “Age of Ice” for different depths and different concentrations. Therefore, in such case, an “Age of Ice” was estimated using the nearest “age/depth” estimate.

It may be more appropriate to the use the “Mean Age of Air in the Ice”. The following chart uses “Mean Age of Air in Ice” as the horizontal axis: Note: No data has been estimated in producing this chart.

Zooming in on the same data set, we see: The following chart shows the seasonal variations in CO2 concentrations in Antarctica from the SIO data: The following data compares Mauna Loa, Hawaii and South Pole, Antarctica from the SIO data set:  The following chart shows the seasonal change in CO2 for 8 SIO sites in the year 2003: The following chart shows the daily $CO_2$ measurements taken from Jubany Station Antarctica from Feb 16, 1994 to DeC 31, 2009: The following chart is just a sketch and may need revision. The Jubany Station data above was combined with the total world $CO_2$ emissions from energy consumption data obtained from EIA. A rough conversion of .13 ppmv/gigaton was used. The emissions data was integrated to obtain the cumulative addition of $CO_2$ to the atmosphere and the integration constant was chosen so that the two charts agree on Dec 31, 1994. The motivation for this chart is related to the carbon dioxide puzzle.

When you have one data set containing $CO_2$ concentration and another data set containing rates of change in $CO_2$ concentrations, in order to compare the two data sets, it is better to integrate the rates rather than differentiate the concentrations. Differentiation amplifies errors and integration dampens errors. category: carbon, visualization