Since the ocean data has less conversion issues, it is definitely a lot easier to work with. Sea level is pretty much fixed and for the satellite era we have actual surface and layers to deal with. So on the way to hopefully bigger and better things, this post expands on the "layers" method of teasing out sensitivities to different forcing events.
Globally, there is no seasonal signal in any of the data. Averaging globally natural smooths the season "signal". When only hemisphere data is used, the Reynold's Oiv2 data has a strong seasonal cycle which needs to be removed for simple chart comparisons. The satellite data doesn't have a significant season signal, so that has likely been removed before the data published online. So the Hemisphere and other comparisons have a few more steps and more places for me to screw up.
The result is a comparison where the actual forcing changes can be compared. Some rescaling may be required, but it provides a reasonable picture of how the Stratosphere anomaly is an amplification of surface energy flux variation.
Now don't get too excite sports fans, there is still a CO2 signature in there, it just looks a lot lower that those fat tail estimates.