Guest essay by Ken Stewart

Here’s an alternative way to view The Pause. Rather than analysing temperature trends over time, here I compare temperature with carbon emissions and carbon dioxide concentration, and on the way look at a couple of interesting facts that need highlighting.
I use energy data from the BP Statistical Review of World Energy 2015, CO2 data from NOAA, and Temperature data from UAH.
I need to get two important issues out of the way.
Firstly, total energy consumption. Figure 1 shows global energy consumption from all sources for 2014.
Fig. 1: Global Energy Consumption in Million Tonnes of Oil Equivalent

I aggregated coal, oil, and gas into one fossil fuel category. It is plainly obvious that fossil fuels are going to be around for a long time, unless there is a massive multiplication of (a) nuclear energy production, which may not appeal to some environmentalists, or (b) hydro-electricity dams, but that may not appeal either, and are there enough rivers?, or (c) windfarms and large scale solar, with storage, to produce 30 times what they produce now just to meet current demand. Cheap, reliable energy supply is going to depend on technological breakthroughs in the next 100 years and fossil fuels in the meantime.
Secondly, the recent increase in carbon dioxide concentrations is almost entirely anthropogenic.
Figure 2: CO2 concentration as a function of global energy consumption from 1965 to 2014:

99% of CO2 increase can be explained by energy use in all forms.
Now, before Global Warming Enthusiasts drool all over their keyboards, let’s look at how this relates to temperature.
I have calculated 12 month running means of CO2 concentration and TLT anomalies. From November 1979 to November 2015- CO2 concentration increased from 336.6 ppm to 400.57 ppm. What happened in this period to global lower troposphere temperatures- arguably a better indicator of global warming than surface temperatures because they show what the bulk of the atmosphere is doing?
Fig. 3: Tropospheric temperature anomalies vs CO2 concentration:

43.5% of the temperature increase over the satellite era can be explained by/ is associated with the increase of about 64 ppm of CO2. The relationship is anything but linear, however the linear trend indicates, if warming continues at the same rate while CO2 increases by 100 ppm, that temperature anomalies will increase by about 0.63C. By this estimate, doubling CO2 concentration from 280 ppm (what many believe to be pre-industrial concentration) will result in a temperature increase from whatever the global temperature was 250 years ago, of 1.76C. According to HadCruT4, we’ve already seen about 0.8C increase since 1850, so we’re nearly halfway there! Not only that, but we’ll stay below 2 degrees of warming without the need for any emissions reductions!
But the temperature increase is not linear. The next plot shows the tropospheric temperature/ CO2 relationship while temperatures have paused.
Fig. 4: TLT vs CO2, from 363 ppm to 400 ppm:

That, my friends is the true indicator of The Pause: while CO2 has increased by almost 37 ppm (out of 64 ppm), temperature has remained flat. The trend is +0.01C per 100 ppm CO2.
Finally, I’ve separated the record into three phases: before, during, and after the large step change in the 1990s culminating in the 1997-98 El Nino and the following La Nina.
Fig. 5: Temperature vs CO2 during the first phase, when CO2 increased by 20 ppm:

Fig. 6: Temperature vs CO2 during the second phase, when CO2 increased by about 14 ppm:

Fig. 7: Temperature vs CO2 during the last phase, when CO2 increased by about 29.3 ppm:

Therefore I conclude:
Barring a miraculous breakthrough, renewable energy has no hope of replacing cheap, reliable fossil fuels in the foreseeable future- thankfully!
Greenhouse gas increase is anthropogenic;
CO2 increase has probably caused some small temperature increase;
The relationship between CO2 and temperature in the satellite era is weak, with 58% of the CO2 increase occurring while temperatures have paused;
Therefore temperature change is probably caused mainly by natural factors;
Even if the long term “linear” trend continues, this rate is not alarming, and would lead to a temperature increase during a doubling of CO2 of less than 1.8C.
I find it amusing that Global Warming Enthusiasts pin their hopes for an end to The Pause on a strong El Nino- in other words, on natural variability, the very thing that is supposed to have been overwhelmed by greenhouse warming.
What other dynamics link Mauna Loa CO2 levels and industrial emissions?
A) deforestation, driving net CO2 increase ie reduction of forest sinks (more or less); and/or
B) disturbance of microbial/fungal rhyzo soil ecosystems via pesticides and monocropping; and/or
C) disturbance of oceanic microbia/plankton/algae balances by input of CO2, nitrogen, phosphorous runoff
A B & C all correlate with economic activity, which correlates with industrial emissions – the growth curves are probably all similar
All three go to @richard Courtney’s point about some “disturbance of global CO2 balance” as a possible cause of the CO2 rise.
And then there was the discovery of 3 trillion trees, 2.6 trillion more than previously “assumed.” Rather large delta sinkage living, sourcing when dead.
Per IPCC AR5 Figure & Table 6.1 land use/deforestation is relatively small amount and subject to large uncertainty.
A question about interpreting the meaning of the correlation coefficient [r-squared]. Is it correct to say “It measures how much of the variation in Y is determined by variation in x.” such that a 43% coefficient means 43% of the variation in temperature is driven by Co2 [and 57% by something else]?
Randy,
The meaning is “x% of the variation in Y can be explained by X” this goes along with the caveat that there may be confounding or lurking variables. After getting your strong correlation you would want to do a regression plot and look for a pattern which would indicate serious problems with the relationship. Before you go into any kind of causation you need to be able to explain the link, control for all known variables and test your hypothesis. Obviously, sometimes you can’t do those things and it just means there is a possible linear relationship. One thing to consider, any two variables that increase steadily over time, that are put into a scatter plot will show a very strong linear correlation, even things like tennis shoe sales and the movement of a star…..
v/r,
David Riser
Your observations are the reason Trenberth had to invent the heat hiding deep in the oceans where we don’t measure it, and NOAA had to work so hard at finding it without the ARGO data.
You’ve shown that the direct causation-factor is not correct, but the direct-causation-mitigated-by-something-else idea still works.
Reblogged this on rave|rant|reflect and commented:
Global Warming discourse is a theater of absurd!
It is absurd to ascribe global temperature rise (if it indeed is happening) to one variable – CO2 based only on statistical correlation and go on and switch to the so called renewables or non-carbon fuels on a massive scale.
We don’t yet understand effects of solar installations all over. We know that that large hydro electric dams have serious consequences. We know that massive wind farms can affect ecology. Somehow we believe that large solar plants would be without bad effects. Can we think of effects of reflected sun rays thrown back into atmosphere? Can we think of the heat arising of efficiency losses in solar generation?
The fact is that unless we reduce overall energy consumption we will continue to heat the planet because every energy conversion (for generation and consumption) results in heat. The different sources will make a difference in pollution, access and affordability. That’s all.
But reducing overall energy consumption will mean lower general consumption by those who have in favor of the poor who need to consume more for their well being.
Reducing overall consumption will also need check on population growth. There not even a mention of it in global warming discourse.
Hey,
Ken Stewart,
that ‘Obligatory smokestack image [for any] mention of energy and CO2’
is best Pat and Patachon
and you know it.
just stopp cuddeling – changing sides.