Here is a graph that suggests something intriguing about climate dynamics — global temperature from 1979-2009 from UAH satellite records for land, southern hemisphere ocean, and globe, each fit with a 3rd order polynomial. Also plotted is the difference between SH Ocean and Global temperatures, and the difference between SH Ocean and Land temperatures. Notice that the 3rd order polynomial of the differences is almost dead straight! The Ocean-Land difference tends to drop a bit in the last 5 years.
This shows that despite the ups and downs of temperature, the divergence between global and ocean temperatures has been almost linear over 30 years.
Cosmic Ray Flux effects are postulated to be much stronger over clear air with insufficient condensation nuclei. Hence, oceans and particularly the southern hemisphere oceans could be most sensitive to variations in CRF.
There is evidence from various measures of CRF, such as the Be10 concentration in ice cores, that the CRF has been increasing. If that is the case, could the land-ocean divergence be attributed to CRF? Another plausible explanation is that land temperatures have increased due to urban heat effect (UHI) during that time, due to placement of thermometers in burgeoning urban areas.
Also of note is the sigmoidal curve, present even with higher order polynomials. Could also be attributed to the the influence of the solar activity magnetic cycle of approximately 22 years, over which the polarity of the Sun’s magnetic dipole reverses?
Making too much of short time periods is not advisable when talking about climate which changes over longer periods. Still it is fascinating to see how easily patterns emerge in support of solar modulated CRF based climate changes.