That first graph shows a δ18O graph against time for GISP2 in
Greenland (Air temperatures at the summit of the Greenland Ice Sheet !), compared against an atmospheric CO2 from EPICA Dome C in
Antarctica. Apart from the regional differences and the fact that the measurement was of local
air temperatures, a δ18O measurement is less accurate that a Deuterium proxy, since the D proxy is measured on the ice, and the δ18O on the tiny air bubbles. Carrying out δ18O isotopic analysis on such a small sample increases the error level, not to mention the regional variation (geographically about as far as you can get). Watt's up with that?
Even Dodgy Dave Evans' trick of ignoring 85% of the ocean heat data is eclipsed by such blatant dodginess. He is not worthy.
A total variation in CO2 of 20ppm over the range 260-280 ppm is likely to be associated with a temperature difference (Mean Global Surface) of about 0.1 degrees and that would be swamped by other forcings. In other words, nobody in their right minds would expect much of a correlation. It's another strawman.
It's like comparing apples with pears - in the case of Watts, deliberately.
On the second graph, you seem to have dropped the strawman for a moment.
Ajax wrote on Aug 7
th, 2013 at 10:22am:
It is thought that these large temperature fluctuations are triggered by Milankovitch cycles - variations in the earth's orbit that change the amount of energy from the sun that reaches us.
However, on their own, these cycles are not enough to explain the changes in temperature.
The full explanation seems to be that the small change in temperature caused by the changing orbit are amplified by natural processes on earth. These cause CO2 to be released from the oceans and the biosphere, causing an increased greenhouse effect.
Good. That's mainstream Climatology. You have accurately represented it.