Willis: Reply to the Economist

Guest Post by Willis Eschenbach

This replaced the previous sticky, and I have this comment about the Economist. Bad form and unprofessional to use the word “denialists”. For WUWT  readers who wish to complain: letters@economist.com or use their online form here. – Anthony

AN OPEN LETTER TO THE ECONOMIST

On Dec 11th, the Economist published an unsigned article attacking both me and my work. This open letter is my reply.

TO: The Person Unwilling to Sign Their Economist Article

Dear Sir or Madam;

Recently, you wrote a scathing article about me in the Economist discussing my post called  The Smoking Gun At Darwin Zero. Some of it was deserved, but most was undeserved and false. The URL for your unprinicpled attack is http://www.economist.com/blogs/democracyinamerica/2009/12/trust_scientists … trust_scientists? Trust_scientists?? Have you read the CRU emails?

But I digress … you begin by quoting from the Australian Bureau of Meteorology, viz:

A change in the type of thermometer shelter used at many Australian observation sites in the early 20th century resulted in a sudden drop in recorded temperatures which is entirely spurious. It is for this reason that these early data are currently not used for monitoring climate change. Other common changes at Australian sites over time include location moves, construction of buildings or growth of vegetation around the observation site and, more recently, the introduction of Automatic Weather Stations.

The impacts of these changes on the data are often comparable in size to real climate variations, so they need to be removed before long-term trends are investigated.

While this is true, it doesn’t apply. None of the GHCN adjustments are from any of those sources. This is because the GHCN does not adjust for location moves. Nor does it adjust for construction of buildings, nor for any of the other items listed. The GHCN uses none of those to make its adjustments. So all of that is totally meaningless.

Next, you say the “explanation for the dramatic change in 1941 is simple”:

As previously advised, the main temperature station moved to the radar station at the newly built Darwin airport in January 1941. The temperature station had previously been at the Darwin Post Office in the middle of the CBD, on the cliff above the port. Thus, there is a likely factor of removal of a slight urban heat island effect from 1941 onwards. However, the main factor appears to be a change in screening. The new station located at Darwin airport from January 1941 used a standard Stevenson screen. However, the previous station at Darwin PO did not have a Stevenson screen. Instead, the instrument was mounted on a horizontal enclosure without a back or sides. The postmaster had to move it during the day so that the direct tropical sun didn’t strike it! Obviously, if he forgot or was too busy, the temperature readings were a hell of a lot hotter than it really was.

This might make sense if there were any “dramatic change in 1941”. But as I clearly stated in my article, <b>there is no such dramatic change</b>. The drop in temperature was gradual and lasted from 1936 to 1940. The change from 1940 to 1941 was quite average. So that claim of yours is nonsense as well. In any case, the change in screening did not coincide with the 1941 move. In my article I cited a reference to a picture of a Stevenson Screen in use in Darwin at the turn of the century. Perhaps you didn’t bother to read that.

So, to sum up your first arguments, changes in the Stevenson Screens and other local conditions cannot be the explanation for any of the GHCN adjustments because 1) the GHCN doesn’t use local conditions to make adjustments and 2) the timing of the screen change is wrong. In addition, there was no “dramatic change in 1941”.Next, you point out two actual mistakes I did make.

First, in my proofreading I did not catch that I that I had written “the 1941 adjustment” when I meant the 1930 adjustment. That should have been obvious to me, because there is no 1941 GHCN adjustment. My bad.

Second, I had said that the Darwin temperature data couldn’t have been adjusted by using the GHCN method. This method requires five neighboring stations to which Darwin can be compared. Why couldn’t the GHCN method be used? I said it was because in the earlier time periods like the 1930s, there were no such stations covering that time period within 500 km of Darwin. I was wrong, it fact there is one such station.

Neither of these errors of mine affect my point, which is that there are not enough neighboring stations to adjust Darwin using the main GHCN method. The GHCN folks mention this possibility, saying:

Also, not all stations could be adjusted. Remote stations for which we could not produce an adequate reference series (the correlation between first-difference station time series and its reference time series must be 0.80 or greater) were not adjusted. The homogeneity-adjusted version of GHCN includes only those stations that were deemed homogeneous and those stations we could reliably adjust to make them homogeneous.

SOURCE

Unfortunately, they adjusted Darwin anyway. Consider the GHCN adjustment in 1920. To find five stations around Darwin covering 1920, you have to go out 1,250 km. Nor is there any guarantee that those stations will be suitable. You need to have five stations with an 80% correlation with the Darwin record … I wish you the best of luck finding those five stations.

So while my statement about stations nearer than Daly Waters was wrong as you point out (there is one nearer station that covers the 1930 adjustment), my point was correct – there are not enough neighboring stations to adjust Darwin using the GHCN method. The first GHCN adjustment to Darwin was a single year adjustment in 1901. To get five “neighboring” stations for that adjustment, you have to go out 1728 km. You fail to deal with that issue at all. Instead, you say:

“So is it reasonable, if the GHCN is using complex statistical tools to adjust the temperature readings at Darwin based on surrounding stations, that they might come up with the figures they came up with? Sure. No. Yes. I have no idea. And neither does Mr Eschenbach. Because in order to judge that, you would have to have a graduate-level understanding of statistical modeling. … I don’t understand that formula. I don’t have the math for it.”

“Surrounding stations”? We’re talking about stations a thousand km away and more, not surrounding stations.

And while I am sorry to hear of the lacunae in your math education, please don’t make the foolish assumption that others are similarly limited. I have no problem with the GHCN math. If you truly have no idea on the question as you say … then why are you excoriating my ideas on the question?

Nor is it inherently a complex question. The question is, should temperatures more than a thousand km away from Darwin be used to arbitrarily adjust Darwin’s temperature by a huge amount? You don’t have to be a rocket scientist to figure that out.

Next, as an aside you make the scurrilously false statement that I said that claims of damage due to sea level rise in Tuvalu “stemmed from attempts by locals to blame subsidence problems on the developed world, and cash in on it”. I said no such thing nor do I believe it. The claims stemmed from misguided environmentalists.

Next, you say “He makes it sound as if he’s just happened to stumble across this one site whilst perusing a debate over climate change in northern Australia. But as his link to that conversation from 2000 makes clear, Mr Eschenbach is already aware that climate change denialists have been trumpeting the apparent anomalies at Darwin for nine years.” BZZZZT, poor understanding of the implications of chronology. I looked up the conversation after I stumbled across Darwin. How dare you accuse me of lying? As I said, I went to  AIS to see if what Professor Karlen had said was true. I called up a list of all of the stations in Australia that covered 1900-2000. Darwin was the first on the list, so that’s the one I looked at. Try it and see. You accusation is both wrong and totally unfounded.

You go on to say

“[Climate change denialists] do so because of that errant data at Darwin from before 1941, which makes it look as though there was a cooling trend there. The fact that climate-change researchers have to do a particularly strong correction on the data at Darwin, because they moved their dang instruments from the downtown post office to the airport, makes Darwin a perfect place to look for support if you want to claim that climate-change scientists are cooking the data.”

While a correction in Darwin is perhaps necessary, it is cannot be because they “moved their dang instruments” in January of 1941. LOOK AT THE DATA. There is no big change in January of 1941. It occurred gradually over the previous five years. So your theory falls apart upon the simplest examination of the facts.

Next you say: “Average guys with websites can do a lot of amazing things. One thing they cannot do is reveal statistical manipulation in climate-change studies that require a PhD in a related field to understand.”

Your understanding of statistics is as poor as your understanding of chronology. The statistics used by GHCN are average college level tools. You are dazzled by the fact that you don’t understand them, so you make the incredibly foolish assumption that no one without “a PhD in a related field” can understand them either. Some of us actually paid attention in class, you know.

Finally, you use your closing arguments to cheerlead for peer review. Curiously, I agree with you in theory … but the peer review system in climate science is badly broken. First, as the CRU emails clearly show, it has been subjected to enormous “old-boy” pressures to pass through bad studies without a second glance, and to deny opposing papers a fair hearing. How do you think we got the Hockeystick and its cousins? Here’s Phil Jones from the emails, talking about keeping peer-reviewed papers out of the IPCC report:

I can’t see either of these papers being in the next IPCC report. Kevin and I will keep them out somehow – even if we have to redefine what the peer-review literature is!

And you give your article the URL “trust_scientists”???

Second, the peer-review system is ripe for abuse. This is because the reviewers often know who the author is, while the reviewers (like you) hide in anonymity. This invites malfeasance. The system needs to be changed so that after the review, the [authors] sign their names to the paper as well as reviewers. At present, we have no way of knowing whether the paper was seriously reviewed by inquiring scientists, or simply passed through by the authors friends.

So I, like you, support peer review. I just want a peer review system that works. It must be double blind during the review period, with neither the reviewers nor the author knowing the others’ names. And the reviewers should reveal their names at the end, so that we know it wasn’t just the author’s best mates doing the author a favor.

Since we have an easily manipulated system instead of a real peer review system, I opt for public peer review by putting my work on the web. This lets anyone, even anonymous innumerates like yourself, register your objections.

Finally, the Economist did not contact me before publishing an article full of false accusations, incorrect assumptions and wrong statements … looks like peer review is not the only system in trouble here. I thought journalists were under an obligation to check their facts before making accusations …

Willis Eschenbach

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487 Comments
janama
December 8, 2009 9:49 pm

Queenslander! (20:42:57) :
GISS has a Yamba record from 1900.
The Yamba Lighthouse was built in 1880 but was demolished in 1955 and replaced with an automatic lighthouse.
http://data.giss.nasa.gov/cgi-bin/gistemp/gistemp_station.py?id=501945890000&data_set=1&num_neighbors=1

Paul Vaughan
December 8, 2009 10:18 pm

E.M.Smith (16:20:23) “So you have to watch both hands at all times to see which data ended up where… Care to play again? Ok, the data is going under this walnut shell in the middle, now, watch closely and place your bets….”
The homogenization I’ve looked at is a serious mess. Sorting it out will be very time-consuming.

Paul Vaughan
December 8, 2009 10:27 pm

bill (10:19:42) “In no way do the plots from Giss match those in the article.” / bill (21:14:27) “[…] !!!!!!!!!!!!!!!! […]”
Willis Eschenbach (22:01:27) “[…] Next try comparing GHCN raw to GHCN adjusted …”

Interesting exchange.

Andrew
December 8, 2009 10:29 pm

Willis Eschenbach (21:58:01) notes that Yamba only started in 1944. The other interesting thing (as an Australian) is that the three stations are thousands of kilometres apart. Darwin is tropical, Alice Springs is desert and Yamba is temperate. How you can even average these disparate locations and come up with a single figure that represents Australia is beyond me. Darwin’s records run from 10.4C to 38.9C (28.5C range), Alice Springs’ from -7.5C to 45.2C (53C range).
Also when you look at the GHCN categorisation for each of these locations, they are pretty much meaningless. I assume that these land types are fed into their temperate adjustment generators. Darwin is listed as Sea, whatever that means. It is in fact one of the biggest (in land area) military/civilian airports in Australia.

David
December 8, 2009 10:32 pm

Maybe this is not related, but maybe it is. Why not just take the daily temperature range (Tmax, Tmin) and plot that instead? Then you have a range instead of a point, which would be more useful. Wouldn’t the effect of CO2 be much more pronounced on Tmin than Tmax?

Steve S.
December 8, 2009 10:48 pm

Willis,
Incredible job.

Ross Handsaker
December 8, 2009 11:02 pm

Slightly off topic; Australian Government Year Book 1980 edition shows average temperature for Adelaide (Capital of South Australia) as 17.2C between 1910-1940, which covers much of the period for the previous positive PDO. Average temperature for period 1977-2009 is also 17.2C.
If temperature data for Adelaide Airport (9.8 kms west of Adelaide) is preferred, the average for period 1955-2009 is 16.4C! Nothing unusual about recent temperatures here in Adelaide.

anna v
December 8, 2009 11:15 pm

David (22:32:35) :
Maybe this is not related, but maybe it is. Why not just take the daily temperature range (Tmax, Tmin) and plot that instead? Then you have a range instead of a point, which would be more useful. Wouldn’t the effect of CO2 be much more pronounced on Tmin than Tmax?
These, and other similar analysis show that there is no meaning in a global temperature and in a global temperature anomaly.
The physics is shaky all over and according to George E.Smith the statistics is absolutely inadequate too.(Nimquist or so).
Temperature measurements are inextricably attached to the location through the gray body radiation which varies from geographical spot to geographical spot. Temperature changes because of radiation, i.e. changes in energy input output ( and convection and evaporation and precipitation), but there is no algorithm to go simply from temperature to energy changes and vice verso, and it is the energy that is important and a constant of the equations and can be summed and averaged the world over.
The only use is as maps of temperature and maps of anomalies, that show heating and cooling quantitatively. Integrating over the globe is nonsense.
The effect of greenhouse gases and clouds shows at the low temperatures. Humid nights are warmer than dry ones. It would be interesting to see the high and lows of dry deserts . That is where the effect of CO2 could be untangled from the effect of water vapor, but I do not know of temperature sensors in deserts. Maybe could be done with the satellite records.

Nick Stokes
December 8, 2009 11:16 pm

Nick Stokes (21:20:44) :
[REPLY – To the best of my knowledge, there IS no “raw” NASA/GISS data. GISS starts with already-adjusted NOAA/NCDC/HCN data, “unadjusts” it and “redjusts” the shattered remains. So if GISS “raw” data looks like CRU adjusted data, that would come as no surprise. ~ Evan]

Evan, I don’t think that is true. As I understand it, Gistemp works from v2.mean, which is where Willis took his unadjusted data from.
Anyway, the key complaint of this post is that Darwin has been adjusted to show a rapid rise in GHCN’s v2,mean_adj. However, CRU’s data, and GISS, show no rapid rise, but rather a downtrend, corresponding to the raw data in Willis’ Fig 7.
So why is GHCN “Darwin 0” different? I’m inclined to think now that it is relevant that “Darwin 0” is one of 5 duplicate files. As Willis says, the others do not show the same adjustment. At an early stage in processing these duplicates get merged, so the question is, how does this adjustment in Fig 7 come out after the merge with the five other duplicates?

December 8, 2009 11:19 pm

As a follow-up to my message on the first thread re the Bureau of Met programming bug affecting how their website presented the August 2009 min and max mean temps in Western Australia…
On November 17, the BoM website had an approximate .5 degree C upward adjustment of August 2009 data that had first been posted on September 1 for Western Australia recording sites.
I asked the bureau why and received this response:
“Thanks for pointing this problem out to us. Yes, there was a bug in the Daily Weather Observations (DWO) on the web, when the updated version replaced the old one around mid November. The program rounded temperatures to the nearest degree, resulting in mean maximum/minimum temperature being higher. The bug has been fixed since and the means for August 2009 on the web are corrected.”
The BoM has replied to my email in which I sought clarification as to whether the temps on their website before or after November 17 are the official temps.
Reply: “The bottom ones are correct. The bug only affected averages for August 2009.”
The answer relates to how I put my question and means the higher temps on the BoM website since Nov 17 are officially correct.
It also confirms an upward adjustment was only made for the August 2009 data, so researchers of Western Australia temperatures should make sure their databases are accurate if recorded from the BoM website before November 17. I don’t know if the bug affected only WA figures or all Australian figures.

Ross Handsaker
December 8, 2009 11:32 pm

Refer my earlier comment about Adelaide temperatures, the Year Book should read 1965 not 1980. My apologies.

Mr. Alex
December 8, 2009 11:56 pm

Recent Solar Indices have been updated by NOAA:
2009 11 7.7 4.2 0.55 -1.0 -1.0 73.6 -1.0 3 -1.0
Ap yet again at 3!
http://www.swpc.noaa.gov/ftpdir/weekly/RecentIndices.txt

crosspatch
December 9, 2009 12:00 am

This doesn’t have anything to do with Darwin but I have noticed what I believe are two major errors with NOAA in their “all time record highs” over the past few days.
First they report Pavillion, WY had a record high of 61 degrees on 2 December when I can’t find anything in the area above 20F. This looks like a possible transposition of 16 to 61 as Lander had a high of 18.
Then there is Samburg, TN which reported a record high of 78 degrees on 5 December when I can’t find anything anywhere nearby with a temperature above 40 for that day. And that can’t be a simple transposition of digits.
Looks like NOAA might be manufacturing Global Warming the “old fashioned way” … simply making temperatures up.
What catches my eye is when I see a map like the HAMweather records page and see a “record high” surrounded by “record low high” temperatures or “record low temperatures” in the same area.

December 9, 2009 12:19 am

Having seen the current edition of the Economist (“Stopping climate change”), I sent this letter :
“Sir,
A front page headline which reminds us of King Canute.
A leader, a 14-page special report. Several articles: Asia: back to basics, emissions trading row; Science and technology: what lies beneath, more climate change; Business and technology: Chinese wind, carbon management software, shale gas.
In all of this, no analysis of the CRU/Penn State etc. revelations. No analysis of the FOIA.zip file. No analysis of the e-mails (the “tiny scraps”). No analysis of the Fortran code (“fudge factor”??). No analysis of the data. No mention of the “Harry_read_me.txt” file.
No journalism. No more “severe contest”. Just “unworthy, timid ignorance”.
Shame on you.
Richard Barnes
Luxembourg”
I received the following reply :
“Dear Mr Barnes,
We ran a leader and a lead piece in our Science section on the CRU story the week before my special report. Nothing further had happened on the story, other than Rajendra Pachauri saying that the IPCC took it seriously, so there was no reason to return to it.
Best wishes,
Emma Duncan
Deputy Editor
The Economist
25 St James’s Street
London SW1A 1HG
020 7830 7046”
How reassuring to know that Mr Rajendra Pachauri is taking this “seriously”. His speech on the 7th of December suggests that Ms Duncan’s remark is correct.
Note that Ms Duncan says “my special report.” The Economist is put to bed on a Thursday, so the dates between which “nothing further had happened” are the 26th November to the 3rd December.
Please feel free to contact Ms Duncan on the number provided, or by email ( emmaduncan@economist.com ) if you are aware of any issues that arose between those dates.

Nick Stokes
December 9, 2009 1:38 am

Willis, here’s an odd thing. For Darwin 0, I subtracted the annual averages of v2.mean from v2.mean_adj. I did not try to calculate anomalies. Like you, I got a sequence rising by about 2.5C, although the adjustments in number terms are big (negative) at the start, down to about zero at the present. But instead of a long rise from about 1940 to 1980, I got four very distinct step rises (and one drop), each about the same amount. The graph is here.

Nick Stokes
December 9, 2009 2:17 am

Another oddity. If you look at a monthly plot of corrections (v2.mean_adj-v2.mean), there’s a marked seasonal oscillation in the corrections. This has uniform amplitude between the step changes – increasing as you go back in time. It’s not a perfect sinusoid; there can be two minima per summer. It’s as if they are correcting for an error depending on strength of sunlight, or maybe the wet season. Plot here.

December 9, 2009 3:02 am
December 9, 2009 3:32 am

Norman (19:52:56) :
“But when I read RealClimate and the posts it does not seem like the players are involved in a deliberate hoax. From my own experience on this web page, it seems everyone is quite serious and actually afraid of the runaway Greenhouse that will kill off most species currently alive.”
That’s how all good conmen operate. They seem just so sincere.
Once you can fake sincerity you’ve got it made.

Don Penman
December 9, 2009 3:47 am

To anyone else living in the UK.Why is average monthly (tmax and tmin) only given on the British met. office website for historical weather station data.Is it possible to estimate how warm a month was by looking at the hours of sunshine given for each month with the data? There has to be a difference between a day when it rains all day and only reaches tmax for an hour and a day when tmax is maintained all day
take a look at these.What are the chances of having a white Christmas this year?
http://www.theweatheroutlook.com/twodata/datgeneral.aspx?type=nao
http://www.theweatheroutlook.com/twodata/datgeneral.aspx?type=ao

Charles. U. Farley
December 9, 2009 4:22 am

Have already sent links to the BBC’s newsnight programmed pointing to the smoking gun, have also successfully had a letter published in the local paper and have complained to the PCC regarding the Sun newspapers useage of disinformation ( a polar bear with a dead half eaten cub in its mouth) and requested the RAW data from the met office amongst other things.
I advise all others to do the same and start to apply pressure, otherwise theyll think they can just sweep this under the carpet

December 9, 2009 4:43 am

Charles. U. Farley (04:22:39) : the Times runs with the polar cannibalism story too.
Do these people know or check nothing? On the basis of this argument – my cat who ate a dead kitten is doing so because I don’t feed her enough.

Ryan Stephenson
December 9, 2009 4:44 am

I took a look at the data for Ross-on-Wye from the GHCN database. I took this one because Ross is an old town with long records, untroubled by very heavy traffic and therefore any Stevenson screen there is unlikely to have been tainted by “adjustments”. This was the first station I looked at – NO GLOBAL WARMING!
I would give you a link but the GHCN database is down. What a curious coincidence….
Anyway, I’m looking in detail at the statistics for Stornoway now. A small island in the far north. Had hoped that the data would be untainted but it seems the Stevenson screen is next to an airport – bet that wasn’t there in the 30’s! Oh, and it now has electronic thermometers for remote reading – bet they didn’t have those in the 30’s either!
Anyway, the means for the annual distribution show a 0.35Celsius increase in the last 10 years compared to the first 10 years. Problem is the averaged monthly show a variation ranging from -0.03 to +1.0 Celsius taken over the same period. That tells you that you can’t rely on the annual means because they don’t necessarily reflect the means of the underlying distributions. Furthermore even in the monthly averages you can see a variation of 6Celsius over each January from 1931 to 2008. This is due to what is commonly referred to as weather. So the Climate change signal is 0.35Celsius hidden in a weather signal of 0.35Celsius. Is that statistically significant? I don’t think so.

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