Here is the correlation between CO2 and Annual Mean Temperature followed by the correlation
between Total Solar Irradiance and temperature.
Solar correlates better than CO2 as a drive of climate!
Clearly the US annual temperatures over the last century have correlated far
better with cycles in the sun and oceans than carbon dioxide. The correlation with
carbon dioxide seems to have vanished or even reversed in the last decade.
Given the recent cooling of the Pacific and Atlantic and rapid decline in solar
activity, we might anticipate given these correlations, temperatures to accelerate
Planetary Temperature set only by sun & atmospheric pressure
Saturday, August 22, 2015
New paper confirms the gravito-thermal greenhouse effect on 6 planets including Earth,
An important new paper published in Advances in Space Research determines that the
Earth surface temperature (as well as the surface temperatures of 5 other rocky planets
in our solar system) can be very accurately determined (R2 = 0.9999! & tiny standard
error σ=0.0078) solely on the basis of two variables:
1) atmospheric pressure at the surface, and
2) solar irradiance at the top of the atmosphere,
and without any consideration of any greenhouse gas concentrations or 'radiative
forcing' from greenhouse gases whatsoever.
Thus, the paper adds to the works of at least 40 others (partial list below) who
have falsified the Arrhenius radiative theory of catastrophic global warming from
increased levels of CO2, and also thereby demonstrated that the Maxwell/Clausius/Carnot/Boltzmann/Feynman
atmospheric mass/gravity/pressure greenhouse theory is instead the correct explanation
of the 33C greenhouse effect on Earth, and which is independent of "radiative forcing"
from greenhouse gases.
Using observed data from the planets Earth, Venus, the Moon, Mars, Titan, and Triton,
"apply the Dimensional Analysis (DA) methodology to a well-constrained data set
of six celestial bodies representing highly diverse physical environments in the
solar system, i.e. Venus, Earth, the Moon, Mars, Titan (a moon of Saturn), and Triton
(a moon of Neptune). Twelve prospective relationships (models) suggested by DA are
investigated via non-linear regression analyses involving dimensionless products
comprised of solar irradiance, greenhouse-gas partial pressure/density and total
atmospheric pressure/density as forcing variables, and two temperature ratios as
dependent (state) variables. One non-linear regression model is found to statistically
outperform the rest by a wide margin. Our analysis revealed that GMATs [Global Mean
Atmospheric Temperatures] of rocky planets can accurately be predicted over a broad
range of atmospheric conditions [0% to over 96% greenhouse gases] and radiative regimes
only using two forcing variables: top-of-the-atmosphere solar irradiance and total
surface atmospheric pressure [a function of atmospheric mass & gravity]. The new
model displays characteristics of an emergent macro-level thermodynamic relationship
heretofore unbeknown to science that deserves further investigation and possibly
a theoretical interpretation."