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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Greg Goodman
February 11, 2013 2:19 am
MikeB
February 11, 2013 2:20 am

Last Wednesday,, David Attenborough said on the BBC’s much acclaimed nature programme ‘Africa’ that the world had warmed by 3.5 deg. C over the last 2 decades. So much for temperatures being flat!
But it seems that the BBC has now backed down on this claim.
http://www.telegraph.co.uk/earth/environment/climatechange/9861908/BBC-backs-down-on-David-Attenboroughs-climate-change-statistics.html
The comment, first broadcast in the final episode of the Africa series last Wednesday, was removed from Sunday night’s repeat of the show.

cRR Kampen
February 11, 2013 2:35 am

So the extra heat must have gone into the oceans, where it fed Irene, Sandy and Nemo and is melting sea- and shelf ice everywhere.

February 11, 2013 2:50 am

E.M.Smith:
At February 10, 2013 at 9:25 pm you say

So the whole “Global Average Temperature” idea is broken in two very different ways, either one of which makes the whole idea bogus… But nobody wants to hear that, warmers or skeptics, as then they have to admit all their arguments over average temperature are vacuous

Not true.
For many years several of us have been pointing out those and other fundamental problems with the global temperature data sets. Please read Appendix B and the list of signatories to that Appendix in the item at
http://www.publications.parliament.uk/pa/cm200910/cmselect/cmsctech/memo/climatedata/uc0102.htm
Richard

Kelvin Vaughan
February 11, 2013 3:06 am

MikeB says:
February 11, 2013 at 2:20 am
Last Wednesday,, David Attenborough said on the BBC’s much acclaimed nature programme ‘Africa’ that the world had warmed by 3.5 deg. C over the last 2 decades. So much for temperatures being flat!
He probably misread the script and missed the point in front. Don’t forget he is getting old and his eyesight is probably not good.
The Central England Temperature maximum trend for March has gone up 0.5 degrees C since 1994 whereas the minimum has fallen 1 degree C. If you look at the maximums and minimums for each month they are all doing different things. Some months are warming and some months are cooling.
If plot all the 1sts of January since 1878 you can see an 88 year (approx) sine wave.

February 11, 2013 3:24 am

Philip Shehan:
Your entire post at February 11, 2013 at 1:27 am says

More cherry picking.
Let’s just concentrate on one of the data sets shown – the claim that Hadcrut4 temperature data is flat since November 2000.
Look also at the data from 1999. Or compare the entire Muana Loa data set from 1958 with temperature.
And remember, “statistical significance” here is at the 95% level. That is, even a 94% probability that the data is not a chance result fails at this level.
http://tinyurl.com/atsx4os

I know it is a big ask for you, but please try not to be idiotic.
The question being addressed is “Has global warming stalled?”.
That question is about the here and now: it is not about some other time.
There is only one period to choose when considering what is happening NOW: i.e. back in time from the present (we can’t go forward because we don’t know the future). Any other period is a ‘cherry pick’: indeed, it is inappropriate.
So, the real issue is determination of how far back in time is needed discern global warming.
And an important consideration in this determination is whether or not (at the 95% level) a zero trend has existed for 15 or more years. This is because in 2008 NOAA reported that the climate models show “Near-zero and even negative trends are common for intervals of a decade or less in the simulations”.
But, the climate models RULE OUT “(at the 95% level) zero trends for intervals of 15 yr or more”.
I explain this with reference, quote, page number and link to the NOAA 2008 report in my post at February 10, 2013 at 5:48 pm.
Furthermore, the appropriate comparison to MLO CO2 records is over the determined period(s) of (at the 95% level) a zero trend(s). It is not “since 1958” because the global temperature has had (at the 95% level) a positive trend since then and, therefore, it would be an ‘apples to umbrellas’ comparison.
I understand your difficulty. What the models “rule out” nature has done, and this falsifies your cherished models. You need to come to terms with it.
Richard

wayne Job
February 11, 2013 3:40 am

I have but one question, if the rather dubious corrections to the older temperatures { people in the old days did not read the thermometers correctly} the trend may be down rather than zero.
This is more of a worry than warming, the last long cold spell some time ago was not conducive to comfort nor the growing of food.
It bothers me that I have young grand children and fools are squandering our future capacity to adapt quickly to a fate worse than a degree or two of warming.

MikeB
February 11, 2013 3:48 am

So the extra heat must have gone into the oceans, where it fed Irene, Sandy and Nemo and is melting sea- and shelf ice everywhere.

Yes, it must have done mustn’t it? We can’t find it there but that’s no problem, where else can it have gone? ( This begs the question of why it should suddenly decide to store itself in the ocean instead of warming the air as it did before)
On the other hand, if the extra heat is not hiding somewhere then there is something wrong with the theory – and we can’t have that.
Sherlock Holmes said to Holmes…

It is a capital mistake to theorise before one has data. Insensibly one begins to twist facts to suit theories, instead of making a theory to fit the facts

garymount
February 11, 2013 4:48 am
Nigel Harris
February 11, 2013 5:03 am

None of the analysis presented here actually answers the question asked at the top of the page “Has global warming stalled?”. To answer that question, you need to start with the null hypothesis (to be disproved) that global warming has not stalled, but continues unabated.
Take Hadcrut4 for example. You give two facts: the trend from Nov 2000 is flat, and the trend since 1995 does not show significant warming (i.e. it fails to reject a null hypothesis of no warming at the 95% level). However, if you also look at what was happening before these dates, you can compare before and after.
For Hadcrut4, after Nov 2000, the trend is -0.008 +/- 0.171 C/decade. Between 1900 and Nov 2000 the trend was +0.064 +/- 0.010. The rising trend of 0.064 is well within the 2-sigma bounds of the trend since Nov 2000. It is also possible that the trend has doubled to 0.128 per decade, as that is also comfortably within the 95% limits of the trend since Nov 2000. So there is no statistical evidence presented here that suggests that temperature is not continuing to rise at at the rate that it was rising prior to Nov 2000, or even at a significantly faster rate.
It is indeed within the bounds of 95% confidence limits that global warming has stalled. It is also possible that it has reversed is now heading downwards. But it is also statistically quite possible that it has continued or even increased in trend.
As for the fact that trend since 1995 does not show significant warming; at 0.095 +/- 0.111 it may not be statistically distinguishable from a zero trend, but the trend estimated from this data is actually HIGHER than the long-run trend since 1900.
The same failure to answer the basic question is true of every fact presented here. Just because a cherry-picked period (and the analysis in this post is the very definition of cherry-picking!) has a trend that is statistically indistinguishable from zero doesn’t mean that global warming has stalled. You need to show that the trend is statistically distinguishable from continued (or even accelerated) warming.

February 11, 2013 5:09 am

Werner when we apply significance tests to this data as to whether the trend is warming we ought to be applying a ‘one tailed’ test not a ‘two tailed’ test. The latter says that there’s a 95% chance of being in the range whereas the former says there’s a 2.5% chance of being below the lower bound. In the case of the RSS data there’s an ~3% chance of being below 0, therefore you’d say that warming was significant at the 95% level. A better way of testing would be to use a test like the Pearson test and work with the correlation coef but you’d still use the ‘one tailed’ version. The 95% cut-off is commonly used in science and engineering often thought of as 20:1 odds of being right.

Jim Ryan
February 11, 2013 5:21 am

…the extra heat….
Begging the question.

Graham W
February 11, 2013 5:28 am

Tom Curtis says:
February 10, 2013 at 4:24 pm
“As usual, the purported skeptics here fail to look at the interesting question, what is the longest period for each data set such that all trends shorter than that period are differ[ent] from a trend of 0.21 C per decade (the IPCC predicted value) by a statistically significant amount.”
A nonsensical question really, since if you pick any specific time period within any temperature data set and then look at trends, within that period, of a shorter length of time – all these shorter length trends will automatically have a higher level of uncertainty attached to them (the shorter the time period the greater the uncertainty in the data) and therefore the chances of them being statistically distinguishable, at the 95% level, from a trend of 0.21 C per decade will of course be lower and lower the shorter the trends get.
However, there’s plenty of long periods of time where the trend is different from a trend of 0.21 C per decade by a statistically significant amount, for instance, using this tool:
http://www.skepticalscience.com/trend.php
And looking at the HADCRUT 4 data from 1863 – 2013, you get a trend of 0.051 +/- 0.007 C/decade. So that’s a 150 year period where the trend only has a 5% chance of being higher than 0.058 C/decade, nowhere near as high as 0.21 C per decade.
It’s the same story with every other trend data set you can look at with the trend calculator – apart from the two satellite data sets since of course the data doesn’t go back as far. Can’t get a 150 year period with that. Interestingly though, with those satellite datasets, the trend since satellite records began, to present, is still statistically distinguishable from a trend of 0.21 C per decade, with 95% confidence in one case. The two results are:
RSS: 0.133 +/- 0.073 C/decade (so a maximum trend – at the 95% confidence level – of 0.2060 C per decade…still not as high as the IPCC predicted value of 0.21 C per decade unless you’re going to round up to 2 decimal places…and it could also be as low as 0.06 C/decade with the same level of confidence.
UAH: 0.138 +/- 0.074 C/decade (so a maximum trend – at the 95% confidence level – of 0.2120 C…so JUST within the bounds of their prediction. Could also be as low as 0.064 C/decade.

DirkH
February 11, 2013 5:48 am

Philip Shehan says:
February 11, 2013 at 1:27 am
“More cherry picking.
Let’s just concentrate on one of the data sets shown – the claim that Hadcrut4 temperature data is flat since November 2000.
Look also at the data from 1999. Or compare the entire Muana Loa data set from 1958 with temperature.”
See Richard Courtney’s comment above. It is NOAA’s falsification criterion. Complain to NOAA. Stop confusing the Null Hypothesis with the weird CO2AGW theory’s predictions. CO2AGW is falsified NOW; this is enough. Make a new theory. (But I hope you fund yourselves next time)
cRR Kampen says:
February 11, 2013 at 2:35 am
“So the extra heat must have gone into the oceans, where it fed Irene, Sandy and Nemo and is melting sea- and shelf ice everywhere.”
Do you have any evidence for a radiative imbalance that has not been fudged with a junkyard climate model?

Espen
February 11, 2013 6:17 am

cRR Kampen says:
February 11, 2013 at 2:35 am
So the extra heat must have gone into the oceans, where it fed Irene, Sandy and Nemo and is melting sea- and shelf ice everywhere.
Antidotes for your ignorance are just a click away: http://wattsupwiththat.com/2013/02/08/bob-tisdale-shows-how-forecast-the-facts-brad-johnson-is-fecklessly-factless-about-ocean-warming/

Hot under the collar
February 11, 2013 6:29 am

Kelvin Vaughan says: ……”he probably misread the script and missed the point in front. Don’t forget he is getting old and his eyesight is probably not good.”
Oh no he didn’t misread the script. Don’t expect the BBC to miss a trick and not slip a bit of global warming propaganda in if they think they can get away with it. The ‘source’ of the warming figures were ‘unbiased’ ‘reliable’ ‘scientific’ / sarc, green campaign organisations such as Greenpeace and the WWF.
http://blogs.telegraph.co.uk/news/jamesdelingpole/100202234/no-david-attenborough-africa-hasnt-warmed-by-3-5-degrees-c-in-two-decades/

Boblo
February 11, 2013 6:46 am

And yet a February 7 post on RealClimate, “2012 Updates on Model-Observation Results” concludes that all is well with the models. Would appreciate comments on their main tricks.

February 11, 2013 7:59 am

It’s chaotic. Why bother?

Hot under the collar
February 11, 2013 8:06 am

Climate Control Central Command (Modelling Secretariat) says: …….
Re: [/sarcasm ? Mod]
Mod, I think it was more parody / satire personally.

Doug Danhoff
February 11, 2013 8:40 am

Boblo, did you really believe the good folks at RealClimate would say anything different? Truely they are the “deniers”. They are denying the proof of the failure of their climate models… a standard of proof they themselves established.

Werner Brozek
February 11, 2013 9:00 am

Nigel Harris says:
February 11, 2013 at 5:03 am
None of the analysis presented here actually answers the question asked at the top of the page “Has global warming stalled?”.
Thank you for your excellent points! I know there is a difference of opinion as to exactly what the 95% refers to in NOAA’s statement. I am not going to get into semantics here. For me, the most important facts are that RSS, Hadsst2 and Hadcrut3 show a slope of 0 for over 15 years. I realize there are error bars, but they have a 50% chance of going up or down from the point of 0 slope. So at the minimum, these three sets would be proof that global warming has stalled for a significant period of time. As for the other three sets, there could be room for debate here.
P.S. Thank you for a good idea!
Max™ says:
February 11, 2013 at 2:18 am

Werner Brozek
February 11, 2013 9:13 am

Phil. says:
February 11, 2013 at 5:09 am
Thank you! So I want to be sure I said the correct thing. Earlier, I said the following:
“If you go to:
http://www.skepticalscience.com/trend.php
And if you then start from 1989.67, you would find:
“0.131 ±0.132 °C/decade (2σ)”
In other words, the warming is not significant at 95% since September 1989.”
Is this last statement completely correct or should it be modified in some way? If so, how? Thanks!

Gail Combs
February 11, 2013 9:24 am

sceptical says:
February 10, 2013 at 9:04 pm
Wow, this may be the final nail. The U.N. conspiracy has stalled temperature rise to really through off those who don’t see the conspiracy.
>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>
No it is not.
As long as the Mass Media papers over the cracks and no reporter will touch it, the Propaganda Machine will keep deflecting attention to ‘Weather Wierding’
The banks, financiers, and large corporations (advertisers) have much to much riding on this scam. (See my comment here on the MSM – banker connections )
For those like _Jim who think people are in control of corporation stock: Start with A Brief History Of The Mutual Fund “…Shady dealings at major fund companies demonstrated that mutual funds aren’t always benign investments managed by folks who have their shareholders’ best interests in mind….” Mutual funds separate the ‘owner’ of the stock from the ‘voter of the stock’ and therefore shift control of the company into the hands of the mutual funds.

World’s Stocks Controlled by Select Few
A recent analysis of the 2007 financial markets of 48 countries has revealed that the world’s finances are in the hands of just a few mutual funds, banks, and corporations. This is the first clear picture of the global concentration of financial power……
A pair of physicists at the Swiss Federal Institute of Technology in Zurich did a physics-based analysis of the world economy … revealing what they called the “backbone” of each country’s financial market. These backbones represented the owners of 80 percent of a country’s market capital, yet consisted of remarkably few shareholders….
…. Glattfelder said. “If you then look at who is at the end of these links, you find that it’s the same guys

Then there are our ‘benign’ bankers: Top Senate Democrat: bankers “own” the U.S. Congress and the last fleecing of the sheep: How AIG Bailout Drivings More Foreclosures and this article “How Wall Street Insiders Are Using the Bailout to Stage a Revolution” and this interview Heist of the century
Finally this article:

Ignoring Elites, Historians Are Missing a Major Factor in Politics and History
Steve Fraser, Gary Gerstel (2005)
Over the last quarter-century, historians have by and large ceased writing about the role of ruling elites in the country’s evolution. Or if they have taken up the subject, they have done so to argue against its salience for grasping the essentials of American political history. Yet there is something peculiar about this recent intellectual aversion, even if we accept as true the beliefs that democracy, social mobility, and economic dynamism have long inhibited the congealing of a ruling stratum. This aversion has coincided, after all, with one of the largest and fastest-growing disparities in the division of income and wealth in American history….Neglecting the powerful had not been characteristic of historical work before World War II.

On Robberies committed with paper:
“Of all the contrivances for cheating the laboring classes of mankind, none has been more effectual than that which deludes them with paper money. This is one of the most effectual of inventions to fertilize the rich man’s field by the sweat of the poor man’s brow. Ordinary tyranny, oppression, excessive taxation: These bear lightly the happiness of the mass of the community, compared with fraudulent currencies and robberies committed with depreciated paper.” ~ Daniel Webster 1832

The newest ‘Paper’
World Bank Carbon Finance Report for 2007
The carbon economy is the fastest growing industry globally with US$84 billion of carbon trading conducted in 2007, doubling to $116 billion in 2008, and expected to reach over $200 billion by 2012 and over $2,000 billion by 2020.

The ‘Carbon Economy’ is just the newest twist on the old game of “cheating the laboring classes of mankind” because every single one of those dollars come from the pockets of the laboring classes and finds its way into the pockets of the financiers with nothing given in return except the false promise that we are ‘Controlling the Climate’
Waking Activists up to these facts is where the true fight is. People may not understand Physics and Chemistry and Statistics but they do understand scams and frauds. In our favor the trust in bankers/financiers is at an all time low. It does not matter if you are far right or far left, or in the middle, we should all be on the same side when preventing a massive rip-off and the ‘collateral damage’ of the deaths of thousands if not millions.
The people behind the fraud know this is where the fight is. They have been very proactive against us in several different ways. These include:
1. Funding activists through foundations. They even muddy the funding trail by setting up go-betweens such as the Tides Foundation
2. Controlling the activists. This activity started long ago with the ‘Innocents’ Clubs’ and has moved to the modern NGOs

“Very few of even the larger international NGOs are operationally democratic, in the sense that members elect officers or direct policy on particular issues,” notes Peter Spiro. “Arguably it is more often money than membership that determines influence, and money more often represents the support of centralized elites, such as major foundations, than of the grass roots.” The CGG [Commission on Global Governance] has benefited substantially from the largesse of the MacArthur, Carnegie, and Ford Foundations…. http://www.afn.org/~govern/strong.html

3. Repeating ad nauseum their claim that ‘deniers’ are funded by ‘Big Oil’ .
4. Declaring that ‘deniers’ are mentally deficient. To aid this latest tactic Dr. Lewandowsky is trying to publish two peer-reviewed papers designed to make skeptics look like flat-earth mouth breathers unfit for polite society.

Werner Brozek
February 11, 2013 9:28 am

Nigel Harris says:
February 11, 2013 at 1:51 am
looks rather different if you put a simple linear trend line through the data presented.
http://www.woodfortrees.org/plot/hadcrut4gl/from:1990/mean:12/offset:-0.16/plot/hadcrut4gl/from:1990/mean:12/offset:-0.16/trend

Take a closer look at this. 2012 ended at 0.274. The slope of the line is 0.015. So if we multiply this by 5 to get us to 2017, we get 0.075, and adding to 0.274 gives 0.35 which is less than 0.40. So it would have to rise at a faster slope than is shown to reach the 1998 mark.

February 11, 2013 9:39 am

Sherlock Holmes says
It is a capital mistake to theorize before one has data. Insensibly one begins to twist facts to suit theories, instead of making a theory to fit the facts
Werner Brozek starts
In order to answer the question in the title, we need to know what time period is a reasonable period to take into consideration.
Henry says
A reasonable time period is one normal solar cycle i.e. at least 11 years.
http://www.woodfortrees.org/plot/hadcrut4gl/from:2002/to:2014/plot/hadcrut4gl/from:2002/to:2014/trend/plot/hadcrut3vgl/from:2002/to:2014/plot/hadcrut3vgl/from:2002/to:2014/trend/plot/rss/from:2002/to:2014/plot/rss/from:2002/to:2014/trend/plot/gistemp/from:2002/to:2014/plot/gistemp/from:2002/to:2014/trend/plot/hadsst2gl/from:2002/to:2014/plot/hadsst2gl/from:2002/to:2014/trend/plot/uah/from:2002/to:2014/trend
It is clear the odd one out here is UAH because it must have some calibration errors.
Obviously I did what Sherlock did, making my own dataset ensuring strict requirements for each weather station to be included.
My own data set for means shows a downward slope of -0.02 degree C per annum since 2000.
For the maxima I was able to do a best fit sine wave. We will be cooling until about 2038.