Anthony Watts is spreading his tattered wings, reaching beyond the Serengeti Strategy of isolating a single animal from the safety of its herd, to targeting an entire herd. Today, as if tempting a defamation suit, he boldly alleged that the NOAA is committing fraud (archived here). He wrote:
Grandma Learns About Data Adjustment: A little story about how data adjustment might work in everyday life.
Anthony Watts / 8 hours ago June 1, 2015
Note: On Thursday of this week, NOAA/NCDC will attempt to rewrite the surface temperature record yet again, making even more “adjustments” to the data to achieve a desired effect. This story by Mr. Core is worth noting in the context of data spin that we are about to be subjected to – Anthony Watts
Here is the global surface temperature anomaly as reported by NOAA:
|Data Source: NOAA|
Temperature data processing and homogenisation
What Anthony is doing is resurrecting the old denier meme that the process of estimating changes in the global mean surface temperature is flawed. Except this time he's claiming that it's not just flawed, he is alleging that "NOAA/NCDC" is fudging the data to make it appear that the world is warming. (Anthony hasn't picked up on the creation of the National Centers for Environmental Information - NCEI, and that since April 2015, NCDC is no longer.)
Remember, Anthony Watts is hardly in a position to judge the efficacy of homogenisation methods let alone point the finger at anyone else for fudgery. (His blog specialises in fudgery, among other things.) He has trouble figuring out what an anomaly from a baseline means. He can't quite get his head around how to work out that last year the global mean surface temperature was 0.7C above the average for 1951-1980 and, at the same time, was 0.3C above the 1981-2010 mean.
The illogic of Anthony's allegation is lost on his audience, who are almost all conspiracy theorists these days. (You might have noticed that some of the people who used to pretend to be more rational in their denial are now coming out as big fans of the uber-conspiracy nutter, Tim Ball.) Conspiracy theorists have a remarkable ability to believe the impossible, and to hold multiple contradictory notions in their head at the same time. The fact that the NOAA record is similar to other records isn't proof that Anthony is wrong, in their mind. All it means is that every other organisation that maintains a record of global surface temperature is also fudging the data. In other words, the whole world is in on the hoax. It's only through the wonderful efforts of conspiracy theorising detectives that his fans know that the world is really cooling and we're well on the way to a deep ice age.
Anthony has been promoting the notion that the world is heading for an ice age, any day now. See David "funny sunny" Archibald's prediction, and Fred Singer's, and only yesterday there was a very silly article by Ed "ice age cometh" Hoskins telling WUWT-ers that an ice age still cometh. The only way Anthony can get that notion accepted is by limiting his blog audience to cranks and the scientific illiterati.
It's a far cry from last year's "extraordinary dinner"
Do you recall how last year Anthony Watts was completely blown away by his "extraordinary meeting" with real live scientists? It was a dinner party, after which Anthony had high hopes for what this small private dinner with lukewarmers and real live scientists would lead to. He had already mapped out the "next stage". It was to be a "shared scientific conference". I can see Anthony imagining the standing ovation he'd (not) receive from the world's leading scientists. Him, Anthony Watts, being celebrated instead of ridiculed and worse - ignored and unknown.
Well, I think he's dropped back to reality now. The reality being that he's viewed (where he's known at all) as a rather nasty little blogger with a silly little blog that does nothing but promote conspiracy theories of the dumb if not always paranoid kind and tries to ridicule science and scientists. A dull and rather stupid man who measures his self worth by the number of wackos that read his blog.
Anthony would have loved to be a major player in the disinformation game. However all he has these days is Tim Ball and his Hitler rants and childish fairy tales. Today's childish fairy tale is not in the class of Hans Christian Anderson, nor of the Grimm brothers. It's a very long way from Disney, too. It was something about parent's not accepting a school report on their child, and claiming he got all "A's" when he didn't. Not particularly funny or clever or applicable to his fraud allegation.
From the WUWT comments
June 1, 2015 at 2:13 pmHere are some pages from NOAA on the Global Historical Climate Network data, which I expect ScienceABC123 is talking about (but probably doesn't know it).
If you want to make “adjustments” to the raw data, please follow these guidelines;
1) Maintain all of the raw data, and provide it upon request.
2) Specifically state the reason(s) for and amount(s) of adjustment(s) for every individual data piece adjusted. I’m looking for methodology here.
3) Provide the adjusted data upon request.
4) Require any work based on the adjusted data to clearly state, up front, that “adjusted data was used.”
- The portal to the data - no need for a separate request, it's freely available to all
- The "readme" file explaining the data, including the meaning of all the quality flags etc
- Frequently asked questions
June 1, 2015 at 2:37 pm
The problem is there is no ‘raw data’. There are many fragments of data but they cannot simple be merged into a single dataset and called ‘raw data’.
For 1 the distribution of weather stations is not an even distribution. To give them all the same weighting is clearly wrong. Then there are problems such as weather stations that are moved, changes in the time of day the data is collected and changes to equipment. The homogenisation of the data is essential if you are to produce any meaningful data.
June 1, 2015 at 2:59 pm
Congratulations John, your application to Warmista Liars Academy has been accepted.
Paul Jackson tells fibs and says he wants the raw data. If he wants it so badly, why doesn't he just get it? It's all there.
June 1, 2015 at 3:14 pm
What you’re describing isn’t data, it’s product, it’s like going to the organic food store, asking for cheese and being handed a can of cheeze-whiz. I like cheese-whiz, but it ain’t the kind of cheese you should get in an organic food store. We want the unprocessed raw data, fragments, warts and all, so we can tell what they did to make their product, and we want to see if we can actually reproduce their product. Until we can reproduce the underlying product, all of this AGW is just blue-smoke and mirrors
Despite all the hours of free tutoring by WMO homogenisation expert, Victor Venema, evanmjones hasn't learnt a single thing.
June 1, 2015 at 3:51 pm
Gridding (what you describe) is important. Homogenization, however, is crap.
M Seward has fallen for the lies at his favourite disinformation blogs, and doesn't bother with searching for facts:
June 1, 2015 at 10:00 pmIn fact, the net effect of adjustments is "downwards" not upwards, as Zeke Hausfather has explained. Here's a graphic I put together from Zeke's work - the straight lines are purely to show the net effect of the change and are not the actual slopes of trendlines:
OK John, I see where you are comning from. But how do you explain the ‘adjustments’ overwhelmingly being upwards? Sorry, sport but that is jus a bit too cute for me. I think I will just refer to the satellite/balloon data. It seems to be so… what is the right word? Robust? Reliable? Unadjusted?
Maybe you are quite correct and it is just not possible to construct ( contrive?) a meaningful number from such a raggeday assed set of instrument data. So where does that leave us? B,lind faith with its eyes gouged out?
A lot of people at WUWT don't understand statistics and probability/uncertainty, or the difference between confidence intervals for an individual reading vs the confidence intervals for the mean. MartyH wrote:
June 1, 2015 at 2:17 pm
So here’s my question. Every time that there is an adjustment, shouldn’t that increase the uncertainty of the actual measurement? Say that a max temperature of 90 +/- 0.5 degrees was measured, but after adjustments is now 89 degrees. The uncertainty has to be at least +/- 0.75 degrees now, doesn’t it?
If you plotted the adjusted temperatures with adjusted error bars, would these adjustments really change anything?
Marty also doesn't understand the process of homogenisation, or corrections to inaccurate data (see references below).
Steve seems to think that the RSS satellite data is a measure of temperature at the surface. It's not. It is a measure of estimated temperatures at different levels in the atmosphere.
June 1, 2015 at 2:28 pm
I would think the adjustments they made to the NCDC data would be to bring the overall result closer to the most accurate system we have for measuring global temperatures, the RSS. They sold us on spending billions of dollars on the satellite based RSS because it would be so much more accurate than the measurements taken on land by the NCDC and others, now not only is RSS data less referenced than land collected (and adjusted) NCDC data, the NCDC data is continually adjusted to INCREASE the divergence between NCDC and the more accurate RSS data. NCDC data is a sales pitch, it is not scientific data, it’s primary purpose is to justify the budgets for the NCDC by exaggerating the amount of global warming going on and increase the sense of urgency for budgets that support climate monitoring and climate studies. If the purpose of the NCDC data was to be as accurate as possible they would be adjusting it to more closely match the RSS data.
Not only that, but the lead scientist for RSS, Carl Mears, has said that he considers surface temperature datasets to be "to be more reliable than satellite datasets". In the description of RSS upper air temperature data, it states that:
All microwave sounding instruments were developed for day to day operational use in weather forecasting and thus are typically not calibrated to the precision needed for climate studies. A climate quality data set can be extracted from their measurements only by careful intercalibration of the data from the MSU, AMSU and ATMS instruments.
A 2011 study found that data from microwave sounding units on satellites differed from data from radiosondes - when comparing measures of the same thing. Don't fall for the denier meme that satellite measures are the "most accurate". Measuring air temperature is not easy or straightforward and arguably less reliable than surface temperature measures. (As a case in point, see the large differences between v5.6 and v6 beta from UAH.)
John Whitman couldn't resist posting his own silly "thought". He's a sucker who fell for Anthony's OAS fiasco, which looks to have been an abysmal failure.
June 1, 2015 at 5:17 pm
In defense of NOAA/NCDC, someone has to be in last place on climate science credibility. An argument could be made that NASA GISS is probably in last place on temperature dataset credibility with NOAA/NCDC only slightly more credible.
Eliza is a conspiracy theorist exceptionelle. Just what "this" is, she doesn't say:
June 1, 2015 at 9:16 pm
As long as everyone here takes this as a joke nothing will happen. This is in fact criminal activity akin to Mafia criminal activity. This needs to be taken up by lawyers and the people doing this need to be charged.
Frank Kotler probably stopped wearing eye "protectionm" at some point early on, so couldn't take accurate "ovservations" in his "computer labm":
June 1, 2015 at 9:28 pm
When I was a lad, there were two things you just did not do in the laboratory. One was work without eye protectionm and the other was alter your ovservations. I [guess] in computer labm you don’t need the eye protection either…
References and further reading
Believing the impossible and conspiracy theories - ScienceDaily.com
Selected from Victor Venema at Variable Variability
- Homogenisation of monthly and annual data from surface stations
- Just the facts, homogenization adjustments reduce global warming
- Statistical homogenisation for dummies
Selected from HotWhopper
- On GISTemp, baselines and anomalies - June 2013
- Confirmation bias and anomalous anomalies at WUWT - June 2013
- Denier Weirdness: A mock delegation from the Heartland Institute and a fake enquiry from the GWPF - April 2015
- An economist should know better, maybe ...but what about Anthony Watts? - May 2013
- NOAA/NECR FAQ on Global Surface Temperature Anomalies
- Hansen, J., R. Ruedy, M. Sato, and K. Lo, 2010: Global surface temperature change. Rev. Geophys., 48, RG4004, doi:10.1029/2010RG000345. (open access)