By Christopher Monckton of Brenchley
The monthly satellite lower-troposphere temperature anomaly from Remote Sensing Systems, Inc., is now available.
Taking the least-squares linear-regression trend on this dataset (the bright blue horizontal line through the dark blue data), there has now been no global warming – at all – for 17 years 5 months.
Would readers like to make a projection of how many mainstream media outlets will report this surely not uninteresting fact?
It shows that the Hiatus hernia for true believers in the New Religion continues.
My own prediction is that the number of media reporting 17 years 5 months without any global warming will be approximately equal to the number of general-circulation models that predicted such a long Pause notwithstanding ever-rising CO2 concentration.
Print out the graph as a postcard and send it to the editor of a newspaper near you that has shut down democratic debate by announcing that it will refuse to print any letters at all from “climate deniers”.
richardscourtney says:
February 7, 2014 at 4:05 am
Well, quite!
And the Idiot, in the same post you referenced, quoted wikipedia!!! Apart from the probability that the article he quotes has been Connolley-ised to death, my son and daughter, who both graduated in the last 10 years, were told in no uncertain terms that any referencing of wikipedia in any shape or form would lead to a loss of marks (quite apart from a loss of credibility).
Hello, a penalty marker has been thrown. I’m guessing it’s for mentioning C0nn0lley, but I sppose it could be for w1k1ped1a or 1diot. I await the decision of the officials.
Mr. Dohbro says linear regression is not an appropriate method of determining the trend on stochastic data. However, it was developed precisely for that purpose, and it is one of many methods that might be used. Mr. Dohbro does not suggest what method he would prefer, besides saying that it should be non-linear. One might, for instance, use a higher-order fit, or one might use an AR(n) auto-regressive model, though the former would reveal little over less than half a century and the latter is unnecessary in global temperature records because for obvious reasons they exhibit no seasonality.
However, I have used linear regression because that is what the IPCC uses and that is what Professor Jones uses. As anyone versed in Socratic elenchus will appreciate, using the methods of one’s opponents in debate leaves them less wriggle-room when – as here – results based on their own methods are at odds with their conclusions.
Andy L says he suspects that the Great el Niño of 1998, more strongly represented in the RSS dataset than in the other four, may be partly responsible for levelling what might otherwise be a slight uptrend. He asks what the RSS trend is from 1999, after the Great el Niño event of 1998 had ended. The answer is that there is an insignificant uptrend of 1/25 K since 1999.
The self-proclaimed “Village Idiot”, in a characteristically spiteful, unconstructive and ill-informed comment, raises – as is its wont – a scatter-gun series of half-baked objections. It says I call myself a scientific non-scientist. Well, at least I attempt to examine the actual data rather than adopting some arbitrary standpoint that is as aprioristic as it is indefensible.
“Village Idiot” says I “prefer” the RSS dataset. No, as it well knows, I regularly post here using all five datasets, three terrestrial and two satellite. However, it is possible that over the past couple of decades RSS may be the most accurate of the datasets because it alone correctly represents the relative magnitudes of the Great el Niño, which was severe enough to cause widespread coral bleaching, and of the subsequent el Niños, which were not. I suspect, but have not yet verified, that the other datasets apply self-correcting dampers to their data to reduce the magnitude of sudden anomalies such as that of 1998.
It (the “Idiot”, that is) goes on to say that I have “constructed a graph that points down”. I have not “constructed” anything. I have merely taken the data off the satellites and plotted them to high precision on a graph. I have then determined the least-squares linear-regression trend, using two distinct algorithms to ensure that identical answers are given by both, and have plotted the trend-line in bright blue. As should be obvious, the trend-line does not “point down” much: it is as near horizontal as makes no difference. If the “Idiot” were capable of determining a linear-regression trend, it would no doubt be able to process the data for itself to verify that the trend-line on the graph was accurately determined. Before finalizing and using the 350 lines of code that generate these very clear temperature graphs, I had the linear-regression routine verified by a professor of epidemiological statistics to ensure that it was sound.
Next, the “Idiot” says he has looked at the 37-month running average on the five global-temperature datasets and has observed that they “peaked” – whatever that may mean – in 2006. Well, my algorithm is capable of plotting the average of any combination of the five datasets, and it shows that taking the average of all five datasets there has been no global warming for 13 years. The “Idiot”, when examining a trend to the present, ought not to have relied upon a 37-month mean, for by definition that will show a plot of what has occurred in the past three years.
Next, the “Idiot” cites a speech made by me in October 2009, in which I said that for the nine years since 1 January 2001 there has been “statistically significant and rapid cooling”. Sure enough, in the 8 years 9 months from 1 January 2001 to 30 September 2009 (my speech was on 14 October) the RSS dataset shows a statistically-significant cooling of 0.16 K, equivalent to 1.87 K/century of cooling.
The “Idiot” also says I said in that same speech that all global warming had stopped since 1995. And so it had – all but a statistically-insignificant 0.4 K warming over the period from January 1995 to September 2009.
The only statement made by the “Idiot” is that it does not believe me. But, as it will learn when it grows up, science is not a belief system. The “Idiot” need do no more than attend Statistics 101, as I did, and then obtain the RSS data from the link plainly shown on the graph, and then plot the data and determine and position the least-squares linear-regression trend line. When it has taken these necessary steps, it will be able to determine for itself whether or not the graph as displayed in the head posting is correct and fair, and it will find that it is.
The “Idiot” is by no means the first troll to make the imprudent and impudent assumption that because I have not received a certificate to the effect that I have received socialist “training” in science I do not know any. I am one of the few mathematicians in the world who has made substantial sums by using math in innovative ways. The “Idiot” – unless it is paid very well by those who spend so much time and money trying to discredit anyone who does not unquestioningly accept every daft tenet of the New Religion – would be better off going to play in the Little Leagues in future. It is not man enough, and not knowledgeable enough, to take an effective or constructive part this debate. Indeed, it does not even have the courage to reveal its own identity, preferring to snivel furtively behind an admittedly appropriate pseudonym.
I think this post could have an appreciable effect.The term “smiting them hip and thigh” comes to mind.
@Village Idiot. Why would you filter monthly temperature data over 3 years + 1 month? The 1998 El Nino is smoothed out over a 6 year period in your graph. Smoothing data so much gives you the impression there is little variability when year over year the “global temperature” can vary by over 0.5 deg C (almost a century of implied CO2 warming in one year). It’s the equivalent of cooking a turkey for 21 hours.
Richard Barraclough:
re your post at February 7, 2014 at 4:56 am.
A linear ‘trend’ can be computed from any data time series. At issue here is whether the trend in global atmospheric temperature anomaly (GASTA) differs from zero (i.e. no discernible global warming or cooling) and – if so – for how long before the present.
Climastrology uses linear trends and 95% confidence. There are good reasons to dispute each of these conventions, but they are the conventions used by climastrology so they are the appropriate conventions in this case.
The period to be determined of no discernible global warming or cooling is up to the present. Therefore, the end point is now and the data is assessed back in time until a linear trend over the period differs from zero at 95% confidence.
Each of the several time series of GASTA indicates no trend which differs from zero (i.e. no global warming or cooling) for at least 17 years until now; RSS indicates 24.5 years.
And it is not reasonable to remove data from the data set(s). 1998 had a high value and there is no possibility of justifying its removal from the data set whatever the cause of it being a high value. This is because the assessment is of how long there has been no discernible warming or cooling, and any distortion of the analysed data provides a distortion of the result of the analysis.
Importantly, 17 years takes us back to 1997 and there was statistically significant warming over the previous 17 years. Therefore, discernible global warming stopped at least 17 years ago.
Richard
Taphonomic says: @ur momisugly February 7, 2014 at 12:23 am
This could be a good entry to the Beloit College freshman mindset list. … A few references from 1998 include…
>>>>>>>>>>>>>>>>
And most moderns don’t know what:
A hair across his @ur momisuglyrse means (Get a tail hair caught under a carriage horse’s crupper and you sure will find out in a hurry)
Grab the reins (My husband hates when I do that unless he has the 4-in-hand headed for the ditch)
Look a gift horse in the mouth (You can tell a horse’s age by his teeth)
Having your @ur momisugly$$ in gear IMAGE
Doing it @ur momisugly$$ backwards IMAGE (A friend of hubby’s about 20 years ago)
Is there a high resolution version of the graph available. I am considering printing it out and posting such charts at the various coffee shops I visit, then sitting back and observing while I enjoy my coffee 🙂
I would like the text of the source to not be fuzzy, I don’t want anybody to think something is trying to be obscured.
If Gary Mount would like to let me have his email address, I shall be very happy to send him a high-resolution version of the graph showing no global warming for 17 years 5 months. The narrow width of the standard WordPress columns at WUWT does not allow graphs such as this to be displayed as well as one might like.
Monckton of Brenchley says: “If Gary Mount would like to let me have his email address…”
Christopher, you have my email address. Send me a copy, please. I’ll upload load it to WordPress and leave a link on this thread. That way anyone can have a copy.
Regards
Bob
17 years and 5 months is an odd interval. What does the data show about warming over 20 years, 15 or 30?
M Courtney says:
February 7, 2014 at 3:31 am
Cheshirered says February 7, 2014 at 2:57 am
…
You give him too much credit for integrity.
Nah, trust me, I don’t. He won’t take ANY posts, comments or questions from me at all on CiF. I’m suppressed, silenced, censored, barred. That’s the liberals version of freedom of speech.
Kathy says: @ur momisugly February 7, 2014 at 6:05 am
17 years and 5 months is an odd interval.
>>>>>>>>>>>>>>>>>>>>>
Kathy, go back and read Richard Courtney’s explanation of why the analysis starts in the present and goes back in time until the data says there is warming.
http://wattsupwiththat.com/2014/02/06/satellites-show-no-global-warming-for-17-years-5-months/#comment-1561052
Sorry, although I’d like, Ican’t print the picture as is. It needs to be a .PDF-file to be printable for me. Any solutions?
The PDO flattened it and the PDO+AMO combo will drive it down. Add in solar cycle and depressed cycle 25 for good measure.
If Mogamboguru or anyone else would like a high-resolution image of the original graph as shown in the head posting, I shall be most happy to send it on receipt of an email address.
Mike Mellor says:
February 7, 2014 at 4:18 am
… You make yourself look like a cousin of Neville Chamberlain.
Is that giant chip on your shoulder weighing you down?
Richard S Courtney
Hi there – perhaps I wasn’t quite clear in my post. I didn’t remove any months from the dataset – I merely calculated the trend starting in a variety of different months and finishing at the present.
AndyL had speculated on what the trend might look like if it started after the el Nino peak of 1998, and I did the calculation for him, starting with each month in 1999. The trend from each of these until now was positive, except for using December 1999 as a starting month, which again gives us a negative trend.
As you say, there’s not much significance in such small trends either up or down. You sometimes have to go to 3 or 4 decimals to distinguish it from zero, so it’s more a mathematical exercise than a revelation of dramatic changes in the climate.
Kathy says:
February 7, 2014 at 6:05 am
17 years and 5 months is an odd interval. What does the data show about warming over 20 years, 15 or 30?
Hi Kathy,
You can calculate the linear trend between any 2 points, and more specifically from any given starting point up until the present. If you do this exercise from January 1979 until the present, you get a positive trend of 0.126 degC/decade. If you start your analysis in later and later months, the calculated trend fluctuates up and down a bit, reaching a high 0.149 if you start in December 1983. Thereafter it meanders generally downwards, and the first starting month for which it goes negative is September 1996, which is 17 years and 4 months before the last month of January 2014.
Whether you should count both the start and end months in your time interval is the subject of another discussion. Should the trend be regarded as being from 1st September 1996 until 31st January 2014, then that is (almost) 209 months. If you only regard the trend as being between the midpoints of the months then it is 208 months.
Regards
Richard
Gary Mount and others, Christopher Monckton of Brenchley supplied a higher resolution edition of the graph as a .pptx file:
http://bobtisdale.files.wordpress.com/2014/02/17y5mo.pptx
Regards
Bob
Mr Mockton, I did mention an alternative: use none-linear stochastic statistics; e.g. like the MACD analyses I presented last year here on WUWT. It will provide you the peaks and bottoms of the data and then between those peaks and bottoms you can -more easily- apply linear regression analyses. Since the MACD -and other none-linear types of analyses- show the data is also cyclical, linear regression through the entire data set is even less appropriate (one can’t draw linear regression lines through for example sinus waves….).
You also missed my point that, unfortunately, more complex -albeit correct- statistical analyses will most likely not be well-understood by the general public enlarge (and probably not even by many scientists), so the linear regression will have to do (for now) to tell the story.
So there’s a difference between what’s statistically more appropriate and what’s more appropriate to tell the story.
That regression is statistically pointless!
Ted Clayton,
You alone are worth the price of admission. I needed a good laugh to usher in the weekend. Thank you! (And keep ’em coming.)
Mr. Barraclough asks whether one should regard The Pause as being 17 years 5 months or only 17 years 4 months. The linear trend is compiled using 17 years 5 months of data, so that is the appropriate period.
Mr. Dohbro says he prefers non-linear trend analysis, but I have long learned not to get into debates about precisely what method of trend analysis is the most appropriate. Every statistician has his own pet theory. Last year I was told I should be using an AR(1) autoregressive model to eradicate trend distortions caused by seasonality in the data for periods that are not exact multiples of 12 months, until I pointed out that there is no seasonality in global data.
For the simple question whether the data are on a rising or a falling trend, linear regression is just fine, which is why it is used near-universally in climate science.
And of course one can determine a linear-regression trend on a sine-wave. Over any number of complete cycles, the trend is zero. Otherwise there will be some departure from zero.
I have to assume Mike Mellor is a British subject. Little else could explain his emotional outburst of class envy and proletarian resentment. His rant says much about Mellor and nothing about Monckton.
“Awww, ’tis the refuge we take when the unreality of the world weighs too heavy on our tiny heads.”