People send me stuff.
Engineer and aerospace pioneer Burt Rutan writes to me in an email today:
The chart the Alarmists do not want you to see. Human Carbon emissions vs. The ‘Gold Standard’ global temperature data set (chart from C3).
The alarmists are now fighting hard to protect their reputations and their damaged careers, not fighting to protect a failed theory of Dangerous Human GHG warming.
The grey bars represent CO2 emissions in gigatons (GT).
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I just noticed “Sincitylivin’s” comments. It really gets tedious deconstructing all the nonsense that one person can bring here, after they load up on their talking points at an unreliable alarmist blog.
While I find some links showing that ‘ocean acidification’ is unscientific nonsense, Sincitylivin can use this to help him get over his climate fright.
No amount of positive examples proves a theory correct. However, a single contrary example proves a theory wrong.
The current lack of warming shows that AGW theory is wrong in its present form (CO2 is the basis for AGW). No amount of positive examples can overcome this. This is the scientific method.
Bart says:
January 25, 2013 at 10:03 am
The graphs you’ve shown suppress low-frequency, long-term information–that’s what a derivative does. In electronics, a differentiator circuit can be used as a high-pass filter; you could literally boost the treble and supress the bass in your stereo with it. So, once you’ve taken the derivative, your signal has little to say about long-term trends.
As you’ve noted, the information is still in there, but it’s been suppressed so much that you can’t hope to see anything about long-term trends on a noisy signal by eyeballing a couple of lines on a graph. In fact, taking a derivative is a pretty good recipe for preventing any information about long-term trends from being noiticed.
Bart says:
January 25, 2013 at 10:08 am
And so it was. Thanks for letting me know. [Mod: Thanks for fixing the other formatting problem too; my apologies for that as well.] Here is the link that I meant to post:
http://www.woodfortrees.org/plot/esrl-co2/mean:24/scale:0.0095/offset:-3.1/plot/gistemp/from:1959/mean:24
Absolute CO2 actually does correlate well with temperature in the long term. Of course, with that sort of short-term fluctuations in temperature, a graph, by itself, does not indicate which is cause and which effect, or whether both stem from a common cause, or whether it is mere coincidence. Those who believe that CO2 is driving temperature expect this due to greenhouse gas theory, and use graphs like the one linked above for confirmation.
Correlations between the rate of change of CO2 vs. temperature are interesting, not least because what you find is exactly what you would expect from some known mechanisms opperating on an annual timeframe (with variations lasting several years). But the whole idea of scary AGW is that it should operate over much longer timeframes, and your efforts will run into a brick wall whenever a believer brings up the short-term vs. long-term issue, and points out that you’re looking only at short-term changes when it’s long-term changes that they fear. Especially because the known mechanisms for short-term changes won’t work for the long-term ones.
A claim has been made that “adjustment” of the y scale by” nefarious people” to produces the following plots:
http://www.woodfortrees.org/plot/rss/from:1979/plot/rss/from:1979/trend/plot/esrl-co2/from:1979/scale:0.008/offset:-2.81
http://www.woodfortrees.org/plot/hadcrut4gl/from:1958/mean:12/plot/esrl-co2/from:1958/normalise/scale:0.75/offset:0.2
The slopes of the latter two plots in degrees C / CO2 concentration (in parts per thousand) are:
The WFT plot 1979 to the present 8 C/ppt
The WFT plot from 1958 9 C/ppt
It is claimed that the following plots represent the real situation, but no is given as to why the selection of the y-scaling of CO2 concentration not entirely arbitrary:
http://www.woodfortrees.org/plot/rss/from:1995/plot/rss/from:1996.83/trend/plot/esrl-co2/from:1996.83/normalise
http://wattsupwiththat.files.wordpress.com/2012/08/1-s2-0-s0921818112001658-gr11.jpg
And in fact the arbitrariness is demonstrated by the fact that the slopes of the latter two plots are.
The WFT plot from 1997 30 C/ppt
The slope for the wordpress plot from 1980 13 C/ppt
“So, once you’ve taken the derivative, your signal has little to say about long-term trends.”
As can be plainly seen, there is still a trend in the derivative of CO2. That trend integrates into the curvature of the absolute CO2. And, that curvature is what falsifies significant contribution from human sources. I’ve written extensively about all of this above. Please familiarize yourself with the argument before going any further.
“Absolute CO2 actually does correlate well with temperature in the long term.”
No, it doesn’t. This is the flip side of your argument above: integrating suppresses higher frequency information. So, all you’ve got is a similarity in very low frequency, which is very easy to match on a superficial level when you are allowing yourself to pick and choose the offset and linear terms.
“…your efforts will run into a brick wall whenever a believer brings up the short-term vs. long-term issue…”
There is no issue. The dCO2/dt relationship with temperature integrates precisely into the observed CO2 and matches all the variation as well as the longer term trend and curvature. Occam’s Razor then kicks in.
To do what you are proposing, there would have to be implausibly complicated mechanisms in place which high pass filter the temperature contribution, and low pass filter the human contributions, and match the two outcomes precisely in phase so that it looks like temperature only is all that is needed. Which is more likely? Such fantastic processing of the signals to make it look just like it would when it is only temperature driving it, or in fact that it is only temperature which is driving it?
When talking of temperature it is useful to remember the record has been diddled and the error bars large. … the CRU computed sampling (measurement) error… start at 0.5°C, which is the mark where any indication of global warming is just statistical noise and not reality. Most of the data is in the +/- 1°C range, which means any attempt to claim a global increase below this threshold is mathematically false.
‘KevinUK’ does a great job working in collaboration with Verity Jones on ‘mapping’ possible global warming/cooling in both the NOAA and GISS GCHN raw and adjusted datasets for different time segments and presenting a visual representation of these adjustments.
A graphic representation of the station drop out problem from diggingintheclay by Verity Jones (check out the posts on either side for a lot more information)
There are 69 posts by ChiefIO starting here that go into detail on the ramifications of the station dropout by country.
Verity Jones also did a lot of work on the issue in this section of her blog:
http://diggingintheclay.wordpress.com/2010/02/25/of-missing-temperatures-and-filled-in-data-part-1/
http://diggingintheclay.wordpress.com/2010/03/02/of-missing-temperatures-and-filled-in-data-part-2/
http://diggingintheclay.wordpress.com/2010/03/14/no-more-cold-turkey/
http://diggingintheclay.wordpress.com/2010/03/21/climate-syndrome-china-meltdown/
and many more
Mike McMillan put together flick graphs of ALL the USHCN individual stations for Iowa
http://www.rockyhigh66.org/stuff/USHCN_revisions_iowa.htm
and all USHCN stations in Wisconsin
http://www.rockyhigh66.org/stuff/USHCN_revisions_wisconsin.htm
and Illinois
http://www.rockyhigh66.org/stuff/USHCN_revisions.htm
This is for the 2009 ‘raw V1’ and 2010 ‘raw V2’ data.
The real killers are Jo Nova’s posts
as a result of the above findings… Threat of ANAO Audit means Australia’s BOM throws out temperature set, starts again, gets same results and the New Zealand temperature record is running into similar problems: Don’t mention the Peer Review! New Zealand’s NIWA bury the Australian review otherwise known as The Goat ate the Data a similar problem to Phil Jones “The Dog ate the Data” and the worst Data Tampering: GISS Caught Red-Handed Manipulating Data To Produce Arctic Climate History Revision This leaves no doubt the ‘adjustments’ that always favor CAGW are intentionally bias.
IMHO the surface temperature data recorded is so messed up and shoddy there is no way to find a real warming trend. The actual raw temperature graph as it should be presented.
Well, Gail, I have to disagree. I think the CO2 measurements offer corroboration of the adjustments, as the correlation between the adjusted temperatures and the CO2 derivative is readily apparent.
That temperatures and CO2 should be so correlated I explain here. I think the keepers of the records are not fraudsters, merely not up to the job of drawing the correct inferences from the data.
Reblogged this on Globalcooler's Weblog and commented:
I had seen where CO2 had gone up in concentration with no temperature increase but this points out the total emissions over two like time spans with two very different outcomes. Theory falsified! -Kirt