Has Global Warming Stalled?

Guest Post By Werner Brozek, Edited By Just The Facts

In order to answer the question in the title, we need to know what time period is a reasonable period to take into consideration. As well, we need to know exactly what we mean by “stalled”. For example, do we mean that the slope of the temperature-time graph must be 0 in order to be able to claim that global warming has stalled? Or do we mean that we have to be at least 95% certain that there indeed has been warming over a given period?

With regards to what a suitable time period is, NOAA says the following:

”The simulations rule out (at the 95% level) zero trends for intervals of 15 yr or more, suggesting that an observed absence of warming of this duration is needed to create a discrepancy with the expected present-day warming rate.”

To verify this for yourself, see page 23 of this NOAA Climate Assessment.

Below we present you with just the facts and then you can assess whether or not global warming has stalled in a significant manner. The information will be presented in three sections and an appendix. The first section will show for how long there has been no warming on several data sets. The second section will show for how long there has been no significant warming on several data sets. The third section will show how 2012 ended up in comparison to other years. The appendix will illustrate sections 1 and 2 in a different way. Graphs and tables will be used to illustrate the data.

Section 1

This analysis uses the latest month for which data is available on WoodForTrees.org (WFT). (If any data is updated after this report is sent off, I will do so in the comments for this post.) All of the data on WFT is also available at the specific sources as outlined below. We start with the present date and go to the furthest month in the past where the slope is a least slightly negative. So if the slope from September is 4 x 10^-4 but it is – 4 x 10^-4 from October, we give the time from October so no one can accuse us of being less than honest if we say the slope is flat from a certain month.

On all data sets below, the different times for a slope that is at least very slightly negative ranges from 8 years and 3 months to 16 years and 1 month:

1. For GISS, the slope is flat since May 2001 or 11 years, 7 months. (goes to November)

2. For Hadcrut3, the slope is flat since May 1997 or 15 years, 7 months. (goes to November)

3. For a combination of GISS, Hadcrut3, UAH and RSS, the slope is flat since December 2000 or an even 12 years. (goes to November)

4. For Hadcrut4, the slope is flat since November 2000 or 12 years, 2 months. (goes to December.)

5. For Hadsst2, the slope is flat since March 1997 or 15 years, 10 months. (goes to December)

6. For UAH, the slope is flat since October 2004 or 8 years, 3 months. (goes to December)

7. For RSS, the slope is flat since January 1997 or 16 years and 1 month. (goes to January) RSS is 193/204 or 94.6% of the way to Ben Santer’s 17 years.

The following graph, also used as the header for this article, shows just the lines to illustrate the above. Think of it as a sideways bar graph where the lengths of the lines indicate the relative times where the slope is 0. In addition, the sloped wiggly line shows how CO2 has increased over this period:

The next graph shows the above, but this time, the actual plotted points are shown along with the slope lines and the CO2 is omitted:

WoodForTrees.org – Paul Clark – Click the pic to view at source

Section 2

For this analysis, data was retrieved from WoodForTrees.org and the ironically named SkepticalScience.com. This analysis indicates how long there has not been significant warming at the 95% level on various data sets. The first number in each case was sourced from WFT. However the second +/- number was taken from SkepticalScience.com

For RSS the warming is not significant for over 23 years.

For RSS: +0.127 +/-0.136 C/decade at the two sigma level from 1990

For UAH, the warming is not significant for over 19 years.

For UAH: 0.143 +/- 0.173 C/decade at the two sigma level from 1994

For Hacrut3, the warming is not significant for over 19 years.

For Hadcrut3: 0.098 +/- 0.113 C/decade at the two sigma level from 1994

For Hacrut4, the warming is not significant for over 18 years.

For Hadcrut4: 0.095 +/- 0.111 C/decade at the two sigma level from 1995

For GISS, the warming is not significant for over 17 years.

For GISS: 0.116 +/- 0.122 C/decade at the two sigma level from 1996

If you want to know the times to the nearest month that the warming is not significant for each set, they are as follows: RSS since September 1989; UAH since April 1993; Hadcrut3 since September 1993; Hadcrut4 since August 1994; GISS since October 1995 and NOAA since June 1994.

Section 3

This section shows data about 2012 in the form of tables. Each table shows the six data sources along the left, namely UAH, RSS, Hadcrut4, Hadcrut3, Hadsst2, and GISS. Along the top, are the following:

1. 2012. Below this, I indicate the present rank for 2012 on each data set.

2. Anom 1. Here I give the average anomaly for 2012.

3. Warm. This indicates the warmest year on record so far for that particular data set. Note that two of the data sets have 2010 as the warmest year and four have 1998 as the warmest year.

4. Anom 2. This is the average anomaly of the warmest year just to its left.

5. Month. This is the month where that particular data set showed the highest anomaly. The months are identified by the first two letters of the month and the last two numbers of the year.

6. Anom 3. This is the anomaly of the month immediately to the left.

7. 11ano. This is the average anomaly for the year 2011. (GISS and UAH were 10th warmest in 2011. All others were 13th warmest for 2011.)

Anomalies for different years:

Source 2012 anom warm anom month anom 11ano
UAH 9th 0.161 1998 0.419 Ap98 0.66 0.130
RSS 11th 0.192 1998 0.55 Ap98 0.857 0.147
Had4 10th 0.436 2010 0.54 Ja07 0.818 0.399
Had3 10th 0.403 1998 0.548 Fe98 0.756 0.340
sst2 8th 0.342 1998 0.451 Au98 0.555 0.273
GISS 9th 0.56 2010 0.66 Ja07 0.93 0.54

If you wish to verify all rankings, go to the following:

For UAH, see here, for RSS see here and for Hadcrut4, see here. Note the number opposite the 2012 at the bottom. Then going up to 1998, you will find that there are 9 numbers above this number. That confirms that 2012 is in 10th place. (By the way, 2001 came in at 0.433 or only 0.001 less than 0.434 for 2012, so statistically, you could say these two years are tied.)

For Hadcrut3, see here. You have to do something similar to Hadcrut4, but look at the numbers at the far right. One has to back to the 1940s to find the previous time that a Hadcrut3 record was not beaten in 10 years or less.

For Hadsst2, see here. View as for Hadcrut3. It came in 8th place with an average anomaly of 0.342, narrowly beating 2006 by 2/1000 of a degree as that came in at 0.340. In my ranking, I did not consider error bars, however 2006 and 2012 would statistically be a tie for all intents and purposes.

For GISS, see here. Check the J-D (January to December) average and then check to see how often that number is exceeded back to 1998.

For the next two tables, we again have the same six data sets, but this time the anomaly for each month is shown. [The table is split in half to fit, if you know how to compress it to fit the year, please let us know in comments The last column has the average of all points to the left.]

Source Jan Feb Mar Apr May Jun
UAH -0.134 -0.135 0.051 0.232 0.179 0.235
RSS -0.060 -0.123 0.071 0.330 0.231 0.337
Had4 0.288 0.208 0.339 0.525 0.531 0.506
Had3 0.206 0.186 0.290 0.499 0.483 0.482
sst2 0.203 0.230 0.241 0.292 0.339 0.352
GISS 0.36 0.39 0.49 0.60 0.70 0.59
Source Jul Aug Sep Oct Nov Dec Avg
UAH 0.130 0.208 0.339 0.333 0.282 0.202 0.161
RSS 0.290 0.254 0.383 0.294 0.195 0.101 0.192
Had4 0.470 0.532 0.515 0.527 0.518 0.269 0.434
Had3 0.445 0.513 0.514 0.499 0.482 0.233 0.403
sst2 0.385 0.440 0.449 0.432 0.399 0.342 0.342
GISS 0.51 0.57 0.66 0.70 0.68 0.44 0.56

To see the above in the form of a graph, see the WFT graph below.:

Appendix

In this part, we are summarizing data for each set separately.

RSS

The slope is flat since January 1997 or 16 years and 1 month. (goes to January) RSS is 193/204 or 94.6% of the way to Ben Santer’s 17 years.

For RSS the warming is not significant for over 23 years.

For RSS: +0.127 +/-0.136 C/decade at the two sigma level from 1990.

For RSS, the average anomaly for 2012 is 0.192. This would rank 11th. 1998 was the warmest at 0.55. The highest ever monthly anomaly was in April of 1998 when it reached 0.857. The anomaly in 2011 was 0.147 and it will come in 13th.

Following are two graphs via WFT. Both show all plotted points for RSS since 1990. Then two lines are shown on the first graph. The first upward sloping line is the line from where warming is not significant at the 95% confidence level. The second straight line shows the point from where the slope is flat.

The second graph shows the above, but in addition, there are two extra lines. These show the upper and lower lines for the 95% confidence limits. Note that the lower line is almost horizontal but slopes slightly downward. This indicates that there is a slightly larger than a 5% chance that cooling has occurred since 1990 according to RSS per graph 1 and graph 2.

UAH

The slope is flat since October 2004 or 8 years, 3 months. (goes to December)

For UAH, the warming is not significant for over 19 years.

For UAH: 0.143 +/- 0.173 C/decade at the two sigma level from 1994

For UAH the average anomaly for 2012 is 0.161. This would rank 9th. 1998 was the warmest at 0.419. The highest ever monthly anomaly was in April of 1998 when it reached 0.66. The anomaly in 2011 was 0.130 and it will come in 10th.

Following are two graphs via WFT. Everything is identical as with RSS except the lines apply to UAH. Graph 1 and graph 2.

Hadcrut4

The slope is flat since November 2000 or 12 years, 2 months. (goes to December.)

For Hacrut4, the warming is not significant for over 18 years.

For Hadcrut4: 0.095 +/- 0.111 C/decade at the two sigma level from 1995

With Hadcrut4, the anomaly for 2012 is 0.436. This would rank 10th. 2010 was the warmest at 0.54. The highest ever monthly anomaly was in January of 2007 when it reached 0.818. The anomaly in 2011 was 0.399 and it will come in 13th.

Following are two graphs via WFT. Everything is identical as with RSS except the lines apply to Hadcrut4. Graph 1 and graph 2.

Hadcrut3

The slope is flat since May 1997 or 15 years, 7 months (goes to November)

For Hacrut3, the warming is not significant for over 19 years.

For Hadcrut3: 0.098 +/- 0.113 C/decade at the two sigma level from 1994

With Hadcrut3, the anomaly for 2012 is 0.403. This would rank 10th. 1998 was the warmest at 0.548. The highest ever monthly anomaly was in February of 1998 when it reached 0.756. One has to back to the 1940s to find the previous time that a Hadcrut3 record was not beaten in 10 years or less. The anomaly in 2011 was 0.340 and it will come in 13th.

Following are two graphs via WFT. Everything is identical as with RSS except the lines apply to Hadcrut3. Graph 1 and graph 2.

Hadsst2

The slope is flat since March 1997 or 15 years, 10 months. (goes to December)

The Hadsst2 anomaly for 2012 is 0.342. This would rank in 8th. 1998 was the warmest at 0.451. The highest ever monthly anomaly was in August of 1998 when it reached 0.555. The anomaly in 2011 was 0.273 and it will come in 13th.

Sorry! The only graph available for Hadsst2 is this.

GISS

The slope is flat since May 2001 or 11 years, 7 months. (goes to November)

For GISS, the warming is not significant for over 17 years.

For GISS: 0.116 +/- 0.122 C/decade at the two sigma level from 1996

The GISS anomaly for 2012 is 0.56. This would rank 9th. 2010 was the warmest at 0.66. The highest ever monthly anomaly was in January of 2007 when it reached 0.93. The anomaly in 2011 was 0.54 and it will come in 10th.

Following are two graphs via WFT. Everything is identical as with RSS except the lines apply to GISS. Graph 1 and graph 2.

Conclusion

Above, various facts have been presented along with sources from where all facts were obtained. Keep in mind that no one is entitled to their own facts. It is only in the interpretation of the facts for which legitimate discussions can take place. After looking at the above facts, do you think that we should spend billions to prevent catastrophic warming? Or do you think that we should take a “wait and see” attitude for a few years to be sure that future warming will be as catastrophic as some claim it will be? Keep in mind that even the MET office felt the need to revise its forecasts. Look at the following and keep in mind that the MET office believes that the 1998 mark will be beaten by 2017. Do you agree?

WoodForTrees.org – Paul Clark – Click the pic to view at source
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Philip Shehan
February 14, 2013 12:32 am

Graham: First, apologies – still have not found the particular reference I mentioned above. 7 pm here in Melbourne as I am typing this and been busy today.
Generally, climate theory has always acknowledged that climate depends on anthropogenic and natural factors. When people first began to postulate that increasing CO2 and other greenhouse gases would cause warming they recognised that at that time the anthropogenic signal was not detectable from the natural forcings.
The Melbourne University climate scientist David Karoly first became interested in the climate change question believing he could account for changes using natural forcings only. He found he could not and thus became one of those who accept AGW.
In 1981 Hansen thought a clear anthropogenic signal may emerge in the 80’s but possibly not until the end of the century.
http://pubs.giss.nasa.gov/docs/1981/1981_Hansen_etal.pdf
“Summary. The global temperature rose by 0.20C between the middle 1960’s and
1980, yielding a warming of 0.4°C in the past century. This temperature increase is
consistent with the calculated greenhouse effect due to measured increases of
atmospheric carbon dioxide. Variations of volcanic aerosols and possibly solar
luminosity appear to be primary causes of observed fluctuations about the mean trend
of increasing temperature. It is shown that the anthropogenic carbon dioxide warming
should emerge from the noise level of natural climate variability by the end of the
century, and there is a high probability of warming in the 1980’s…”
Of course climate models which evaluated the various contributions were rudimentary then and this 1981 paper considers only CO2 ,volacanoes and the sun but gave a pretty good fit for temperature data up till then (Fig 5 ).
In the last 3 decades work has been continually done to refine the theory and the models. My post above gave examples of these refinements from 2001 and 2006. It has not happened recently to account for a slowdown of warming in the last decade.
No one with any knowledge of the science has ever thought that global temperatures can be explained by increases in greenhouse gases alone.

Philip Shehan
February 14, 2013 3:55 am

John Brooks:
Where are you getting your numbers from? When I run this program
http://www.skepticalscience.com/trend.php
with Hadcrut4 between 1958 and November 2012, I get this result:
Trend: 0.123 ±0.024 °C/decade
That is, warming between 0.147 and 0.099
I am not sure what period you are referring to here:
“Except, in 3 months since then both the upper and lower values were below zero”
And where does this come from:
“So I can’t understand how you could get a date in 1995 where it was possible at the 95% certainty level that there was no warming.”
For Hadcrut4 from 1995 to the present I get
1995: 0.098 ± 0.111
Anyway, once again I submit you are overinterpreting the data. As I noted at 3:27 pm on Feb 11, the shorter the time period, the greater the 95% range because the signal to noise is becoming very low. As you come in from 1995 results become increasingly meaningless.
The Hadcrut4 result from 5 years ago is obvious nonsense in any practical sense.
Trend: 0.080 ±0.657 °C/decade
Warming or cooling of 6.5 degrees over the next century?!?
I would be very surprised if any data set since 1995 did not include zero.

Graham W
February 14, 2013 5:36 am

Thanks for the response Philip. I would say though that the crux of your post is this:
“No one with any knowledge of the science has ever thought that global temperatures can be explained by increases in greenhouse gases alone.”
And I’d just like to remind you that this is not what I was suggesting either. I said:
“Isn’t the idea of natural forcings not having such a cooling effect over the 70s to late 90s warming period and then suddenly having a cooling effect like they supposedly have now less logical than the idea of CO2 having little effect and climate change being dominated by natural forcings? Because if you argue that the natural forcings changed from being positive over that period to being negative (or lower) recently to try to defend the former position, then that explanation would also apply to the latter position…only the latter position also makes more sense being as how CO2 levels have risen at an increasing rate?”
So the “former position” I am referring to is this idea that natural forcings have recently over-shadowed, if that’s the right word (probably not) the effect of CO2 whereas over the 70s to late 90s warming period this was not the case. This is implied by your statement “The apparent change recently have been explained by the contribution of natural forcings (solar cycles, el nino/la nina etc) which are giving a cooling contribution”, since if the forcings are having this cooling effect now, why didn’t they previously? Then, anticipating a response, I continued “if you argue that the natural forcings changed from being positive over that period to being negative (or lower) recently to try to defend the former position, then that explanation would also apply to the latter position…only the latter position also makes more sense being as how CO2 levels have risen at an increasing rate?”
The “latter position” referring to the idea that CO2 levels have little effect and climate change is dominated by natural forcings.
Nowhere in my comments have I argued that anyone suggests “global temperatures can be explained by increases in greenhouse gases alone”.
As for the points you have made at the end of your post of February 14th at 3:55am, specifically:
“I would be very surprised if any data set since 1995 did not include zero”.
It would surprise me an enormous amount if a trend since 1995 DID include zero, if the computed trend was higher than the typical 95% level usually associated with whatever time frame you’re looking at! What I’m trying to say is, take for example the HADCRUT 4 data, a typical 15 year period (more recently) will tend to have error bars in the area of +/- 0.125 or something close to that. So if the true trend in the data was any greater than this, the computed trend for the data would be discernible from zero with 95% confidence (the result would be a positive trend greater than its associated error margin). If the true trend was still the 0.17 C/decade that people claim applies to the last 30 years, then this trend would still be “visible” above the noise even over 15 years…but it isn’t. This shows us that the rate of warming has certainly decreased, more recently. There is then a need to investigate and explain why this is happening…and then you’re back to the points I’ve already made in my previous comment of February 13th, 6:03pm, and clarified further at the beginning of this one.

Graham W
February 14, 2013 5:52 am

John Brookes says:
February 14, 2013 at 12:15 am
“Is it because I’m not taking into account autocorrelation? Or some other error?”
I believe the skeptical science trend calculator does take autocorrelation into account so yes, I think that might be the reason for your results differing to ones obtained from the trend calculator.

Graham W
February 14, 2013 6:01 am

P.S (to post to Philip Shehan):
The trend in HADCRUT 4 data from 1975 – 1990 is 0.184 +/-0.141. The trend from 1975 – 1991 is 0.207 +/- 0.129. The trend from 1995 – 2013 is 0.095 +/- 0.110. The trend from 1975 – 2013 is 0.169 +/- 0.037. I hope, considering the points I have made, this makes sense as to what I’m suggesting with these trends…it’s clear the rate of warming has recently slowed.

Werner Brozek
February 14, 2013 8:08 am

John Brookes says:
February 14, 2013 at 12:15 am
Then I ran it for every start data until 5 years ago, and each time took the end point to be Nov 2012. The earliest start date for which the 95% confidence interval included zero was April 1997.
In addition to
Philip Shehan says:
February 14, 2013 at 3:55 am
I would like to make the following comments. When I made the post, SkS was only up to October, 2012, but since then, they have updated to the end of December so there is no reason to not just put in 2013 as the end date. I also do not know where your numbers are from. Perhaps you have a different program with different criteria? We had a discussion about this point earlier. But for what it is worth, here is my latest with the update to the end of December.
Section 2
For this analysis, data was retrieved from SkepticalScience.com. This analysis indicates for how long there has not been significant warming according to their criteria. The numbers below start from January of the year indicated. Things have now been updated to the end of December 2012. In every case, note that the magnitude of the second number is larger than the first number.
(I am well aware of the fact that RSS and UAH have really jumped in January 2013, but SkS does not show January yet.)
For RSS the warming is not significant for over 23 years.
For RSS: +0.126 +/-0.135 C/decade at the two sigma level from 1990
For UAH, the warming is not significant for over 19 years.
For UAH: 0.143 +/- 0.170 C/decade at the two sigma level from 1994
For Hadcrut3, the warming is not significant for over 19 years.
For Hadcrut3: 0.095 +/- 0.115 C/decade at the two sigma level from 1994
For Hadcrut4, the warming is not significant for over 18 years.
For Hadcrut4: 0.095 +/- 0.110 C/decade at the two sigma level from 1995
For GISS, the warming is not significant for over 17 years.
For GISS: 0.111 +/- 0.124 C/decade at the two sigma level from 1996
If you want to know the times to the nearest month that the warming is not significant for each set, they are as follows: RSS since August 1989; UAH since May 1993; Hadcrut3 since August 1993; Hadcrut4 since July 1994; GISS since June 1995 and NOAA since May 1994.

Werner Brozek
February 14, 2013 8:19 am

Graham W says:
February 14, 2013 at 5:36 am
It would surprise me an enormous amount if a trend since 1995 DID include zero,
The trend for Hadcrut3 from March 1997 (1997.17) to 2013 is:
Trend: 0.000 ±0.135 °C/decade (2σ)
This means there has been no warming on Hadcrut3 for 15 years and 10 months. Right?

D.B. Stealey
February 14, 2013 9:36 am

Graham W,
Thank you for pointing out in your 6:03 pm comment above the rank dissembling of the climate alarmists’ story. They are not honest. When the facts contradict their narrative, they pull the “O, Look over there! A squirrel!” routine, change their strawmen, and try to argue from a different direction by moving the goal posts that they previously set. They are desperate to keep their false alarm alive, despite a lack of any testable evidence showing that CO2=CAGW.
The facts show clearly that warming is moderating [and it is certainly not accelerating, as some falsely claim].
Not that there is anything wrong with continued global warming, if it should resume. The planet has been much warmer earlier in the Holocene, and during those warm periods the biosphere teemed with life.
The day the alarmist contingent begins acknowledging the true scientific facts of the matter is the day that their false alarm begins to collapse. They can only keep it alive with provable lies, such as the false claim of ‘accelerating’ global warming.

Graham W
February 14, 2013 10:36 am

Werner, thanks for this article! Yes it’s most likely that there’s no warming with the trend you’ve posted in your response to me. However you’ve taken my quote out of context there a bit, what I’ve said only makes sense if you add in the rest of the sentence (well it makes sense as you’ve written it but its not what I’m saying).
What I was trying to say to Philip Shehan is that you won’t get a trend where the error bars include zero if the computed trend is greater than the error bars. So in other words if you have a trend of say 0.143 +/- 0.142, then zero is not an option at the 95% confidence level. Hence the trend is statistically discernible from zero with 95% confidence and you know there will be some degree of warming.
And the point I was making by saying that was, if the true trend in the data was 0.17 C, then you would get a statistically significant (i.e statistically discernible from zero) result even over a short length of time such as 15 years…because the typical error bars for such a length of time are around 0.12 or 0.13 C/decade above and beneath the computed trend (in HADCRUT 4 data for 15 year periods). The fact that this is not happening in recent periods but DID happen in prior periods suggests (in fact proves for certain) that the rate of warming has slowed.
Slowed/stalled, whatever you like. Basically the opposite of what was projected to happen with an increasing rate of CO2 level increase.

February 14, 2013 12:12 pm

richardscourtney says:
February 11, 2013 at 4:33 pm
Phil.:
At February 11, 2013 at 3:12 pm you say
The data is correct, but it can not be compared with the results of models which don’t contain a model for the ENSO phenomenon. Yes to incorporate a model for ENSO would be nice, but since it’s a phenomenon which doesn’t occur on a regular basis that’s difficult to do! What has been done is to account for the known events and then compare, which shows no such extended flat period.
I feedback what I read that to say because if this is how I understand your comment then other will, too.
You are saying that when the empirical data don’t agree with the model then the empirical data must be adjusted to agree.

That’s a very strange interpretation! What I said was that if you wish to compare the results of a model which does not include a model for an important phenomenon with the empirical data in which that phenomenon does occur then you must make an a posteriori correction. Whether the adjustment is made to the modelled result or the empirical data doesn’t matter as long as it’s done correctly. What you and others have been doing is using a result obtained from models which don’t include ENSO and applying it to real world data which does include ENSO, that’s apples to oranges!
That contravenes every principle of scientific modelling.
But as stated that isn’t what’s being done.
Of course, one may want to exclude the effect of ENSO from the data because the model does not emulate ENSO. But nobody understands ENSO and, therefore, parsimony dictates the exclusion needs to be interpolation across – or extrapolation across – an ENSO event. Any other ‘adjustment’ for ENSO is a fudge.
ENSO cannot be predicted ahead of time because it’s not a regular event, that doesn’t mean it’s not understood, just like volcanoes, we have a fairly good idea what eruptions will do but we can’t predict when they will occur or what their magnitude will be but after the fact the effect can be estimated. Your idea of interpolation across an ENSO event isn’t clear since in the time frame considered there are multiple events of both positive and negative sign.

D.B. Stealey
February 14, 2013 12:25 pm

Graham W says:
“Slowed/stalled, whatever you like. Basically the opposite of what was projected to happen with an increasing rate of CO2 level increase.”
That is the central point in the entire debate. All the predictions of runaway global warming due to rising CO2 have been falsified.
Empirical evidence shows conclusively that CO2 does not have the effect predicted by the alarmist crowd.
It turns out that the putative ‘correlation’ between T and CO2 was nothing but a short term coincidence. Thus, the entire basis for the AGW scare has been deconstructed. The only empirical measurements between CO2 and T show that ∆T causes ∆CO2; not vice-versa.
The alarmist crowd started off with the incorrect premise that ∆CO2 was the cause of ∆T, therefore, the conclusions based on that false premise are necessarily wrong. That is precisely what the planet is telling us. But alarmists have so much of their ego and their belief system tied up in the incorrect assumption that CO2 causes temperature changes, that they cannot gracefully withdraw from the argument. But most WUWT readers know the truth.

Graham W
February 14, 2013 12:54 pm

D.B.Stealey, I think you may well be right! It is hard for people to accept that “the consensus” has been overturned. However this has been shown to happen before in the history of science! So there’s no reason it can’t be the case this time.

Werner Brozek
February 14, 2013 12:57 pm

I would like to express my thanks to JTF and Anthony Watts along with all who have added their thoughts so far.
JTF, If there was ever any doubt about the attention grabbing abilities of the graphic at the start of the article, I believe it has been settled since I was very pleased to see that even Andrew Bolt from Australia used it, (along with many other facts from the article).
See:
http://blogs.news.com.au/heraldsun/andrewbolt/index.php/heraldsun/comments/craig_emerson_was_wrong_on_global_warming_and_must_retract/

CoRev
February 14, 2013 2:16 pm

Werner and JTF, well done and thanks

Philip Shehan
February 14, 2013 7:26 pm

Graham, I was not suggesting that you needed reminding that climatologists have always known and said that climate is multifactorial, but I often think others do.
With regard to your comment (and forgive me if this is not the gist of what you are saying) I think it is incorrect to say that it is only latterly that particular emphasis has been made as to how “natural” forcings affect temperature. The extent to which natural forcings combine to override an increase due to rising CO2 concentration varies from time to time.
If you have a “perfect storm” of cooling events occurring at the same time, such as volcanic eruption, a low point in the solar cycle and an el nino event you will get a dramatic total cooling effect. At other times the natural forcings partially cancel or give a positive contribution (eg the extreme el nino southern summer of 1997/1998).
And dramatic cooling periods have occurred in the past. To quote from one of my posts above:
“The temperature behaviour before and after 1945 is another demonstration of what I have been saying. The temperatures seem to drop off a cliff for the 16 year period after 1940 but recover and continue an upward trend thereafter, with a similar slope as for the period 1910 to 1940.
http://www.woodfortrees.org/plot/hadcrut3vgl/compress:12/offset/plot/hadcrut3vgl/from:1850/to:2010/trend/offset/plot/hadcrut3vgl/from:1940/to:1956/trend
If you look at the models I gave in the above posts none of them seem to adequately account for the local peak around 1940 with or without the AGW contribution. I submit that the models are pretty good at hindcasting otherwise but obviously there are some things they cannot account for yet.”
Since I wrote that I came across a possible explanation of the models to fully account for the local peak
“The biggest disagreement is just prior to and during world war II, when the method of measuring sea surface temperature changed, which may have caused a discrepancy in the observed temperature data.”
http://web.archive.org/web/20100322194954/http://tamino.wordpress.com/2010/01/13/models-2/
Of course as CO2 concentrations rise with time and the positive contribution from that forcing becomes larger, periods when a combination of negative forcings can overide that effect will become rarer.

Philip Shehan
February 14, 2013 7:28 pm

Sorry, clearly the perfect storm would require a la nina event not el nino as I typed above.

D.B. Stealey
February 14, 2013 7:36 pm

Thank you, Graham. I have no doubt that scientific skeptics are right. None at all.
But Shehan — contrary to all scientific evidence — remains a True Believer:
“Of course as CO2 concentrations rise with time and the positive contribution from that forcing becomes larger, periods when a combination of negative forcings can overide that effect will become rarer.”
Translation: ‘Global warming causes the observed global cooling. Pay no attention to the fact that the planet is falsifying our alarmist case. Somehow, catastrophic AGW must still be true!’
Cognitive dissonance in action.

Philip Shehan
February 14, 2013 9:41 pm

I try to ignore this person but his interpretation of my post as saying ‘Global warming causes the observed global cooling” yet again shows his total failure of comprehension or reasoning ability.

Graham W
February 15, 2013 4:03 am

Philip Shehan: My point was that a cooling or warming effect of “natural forcings” (here defined as “all climate forcings bar anthropogenic CO2”) will have always affected the climate regardless of anthropogenic CO2.
Now, there is a period of relatively rapid increase in temperatures from the 70s to the 90s, and subsequent to that (90s to present) this period we are identifying as a time of relatively reduced temperature increase/possibly “stalled” temperatures…and also possibly, at least for a part of the most recent time, cooling temperatures!
The difference between the rate of rise in temperatures over these periods could be explained in different ways. Let’s say at one extreme end of these “different ways”, climate sensitivity to CO2 is very high, and at the other end of the spectrum, climate sensitivity to CO2 is very low (even non-existent).
With both extremes, and with everything inbetween, the difference in rate of rise in temperatures can be accounted for by variation in the warming or cooling effect of natural forcings, to different extents. However, and this is the crux of my entire point really: it is surely more logical to opt for the low end of the “sensitivity to CO2” spectrum since if the sensitivity to CO2 was higher, the fact of such rapidly rising CO2 levels over the entire time period examined (1970-present) would outweigh the effect from natural forcings (since that’s what a high climate sensitivity to CO2 means in the first place)…but this has not been shown to be what has happened/is happening as far as the temperature response is concerned.
You are then arguing about what has happened in the past – back to the 40s to 70s era – but the levels of CO2 in the atmosphere were far less back then compared to what has been happening with CO2 levels over the period from the 70s to the present. Hence, back then, natural climate forcings should have dominated climate change more so than they do now (assuming higher climate sensitivity to CO2). So if anything, that adds to the skeptic argument, rather than detracting from it. We should be even less likely to be seeing a reduction in rate of temperature rise now than we did back then, if climate sensitivity to CO2 is high.
So climate sensitivity to CO2 must be at the lower end of the spectrum. Exactly how low is hard to say, but it is more logical for it to be lower and not higher for these reasons.

Werner Brozek
February 15, 2013 9:07 am

Hello JTF,
I will do the three tables in a vertical format for next time. Of course this would reduce it to two tables. Naturally the one table will be much shorter at the start of the year since there are far fewer months to show. But with the vertical format, extra months can easily be added without running out of room at the side. It has the further advantage that I can write “2012 anomaly” instead of “anom1” to save space and then explain what it says.
I will of course make all edits. But as near as I can tell, SkS updates every two months, so if you want an update every month, some things such as the longest time there is no significant warming will not change every month.
Then there is the problem with WFT. GISS, Hadcrut3 and WTI are still not updated past November. As I alluded to above, I can use SkS which I did for the December slope for GISS and Hadcrut3. WTI can be done, but it is extremely awkward without WFT and I doubt it is worth the effort.
As for the month/date/time, sometimes the Hadcrut3 and 4 values come out sooner and sometimes later. I think the best thing to do is wait for these to show up and then I could send you an email and have the new post show up the following Sunday at the usual time. I have no problem doing it every month, but I just wonder if things change enough to warrant it. For example, if the period of significance changes in the third decimal place or if the time for a straight line changes from 11 years and 7 months to 11 years and 9 months, is it worth a new post to mention this? We could certainly try it monthly and see how the interest is. How about if we have a post after all January data is in and then play it by ear? Perhaps every two or three months may be more appropriate?
You had mentioned your own article at one time where you wanted to incorporate some of my stuff. Just send me an email when you want the very latest from me for anything in this post.

February 15, 2013 2:24 pm

Werner, I also believe this should be a monthly article at least for a while. This has gained much attention at many blogs. Some just noting the obvious and others trying to refute. Those trying the refutation approach are hilariously deflecting from the data.
So, let me repeat. Well done!.

Philip Shehan
February 15, 2013 4:53 pm

Corey. I am not defelecting from the data, I am subjecting it to statistical analysis. As a biomedical research sceintist, I have some understanding of these matters.
With all due respect to Werner and his efforts, there is a falure to recognise that the concept of statistical significance is largely dependent on sample size. If the sample size is too small you are wasting time and effort and establishing nothing of importance.
One extreme example of that here is the person who examined the last five years, which shows that over the next century, temperatutes might rise by about 6 C. Or fall by about 6 C. You have to look at 30 decades to come up with a sufficiaently small error range to decide whether temperatures are rising or falling with atrend that can be considered as having some accuracy.
I have recently been involved in a clinical trial for a medical treatment, double blind, with hundreds of subjects.
No one in their right mind would declare on the basis of 16 subjects that the medication was or was not effective.

Philip Shehan
February 15, 2013 4:55 pm

Just read my post. Sorry for the typos. Sunday morning here and have not had my coffee.

Philip Shehan
February 15, 2013 5:06 pm

PS. I think I can state without violating any confidentiality agreements that preliminary results indciate the treatment to be highly effective (one might even hazard using the term “cure”) for a very serious and widespread disease.