By S. Fred Singer (first published in American Thinker)
Global warming has re-entered public consciousness in recent days, partly because of the buzz surrounding the release of warming results from the Berkeley Earth Surface Temperature (BEST) project. The reaction of the “warmistas” has been jubilant, yet hilariously wrong. Will they ever learn?
They’ve latched on to the BEST result as their last best hope for rescuing misbegotten schemes to control emissions of the greenhouse gas CO2. Leading the pack has been the Washington Post (Oct. 25), whose columnist tried to write off Republican presidential candidates Bachmann, Cain, and Perry as “cynical diehards,” deniers, idiots, or whatever.
I sent the WP a letter pointing out obvious errors, but I got a peculiar response. It turned out that they were willing to publish my letter, but not my credentials as emeritus professor at the University of Virginia and former director of the U.S. Weather Satellite Service. Apparently, they were concerned that readers might gain the impression that I knew something about climate.
Unfortunately, it has become expedient (for those who condemn CO2 as the cause of warming) to deride their opponents with terms like “climate deniers.” A complacent and inattentive media has made the problem worse, by giving the impression that anyone who doesn’t buy the CO2 hypothesis doesn’t believe that climate changes, and hence is a total Luddite. Even the WSJ got carried away. Prof. Richard Muller, the originator and leader of the BEST study, complained to me that some eager editor changed the title of his op-ed (Oct. 21) to “The Case Against Global-Warming Skepticism” from his original “Cooling the Global Warming Debate. ”
The (formerly respected) scientific journal Nature chimed in and announced in an (Oct. 26) editorial[i] that any results confirming “climate change” (meaning anthropogenic global warming — AGW) are welcome, even when released before peer review. Of course, we’ve known for many years that Nature does not welcome any contrary science results, but it’s nice to have this confirmation.
Their hearts filled with bubbling joy and their brains befuddled, none of the warmistas have apparently listened to the somewhat skeptical pronouncements from Prof. Muller. He emphasizes that the analysis is based only on land data, covering less than 30% of the earth’s surface and housing recording stations that are poorly distributed, mainly in the U.S. and Western Europe. In addition, he admits that 70% of U.S. stations are badly sited and don’t meet the standards set by government; the rest of the world is probably worse. He disclaims to know the cause of the warming found by BEST and favors naturally caused oscillations of the atmosphere-ocean system that no climate model has yet simulated or explained.
The fact that the BEST results agree with previously published analyses of warming trends from land stations may indicate only that there is something very wrong with all of these. There are two entirely different ways to interpret this agreement on surface warming. It might indicate important confirmation, but logic allows for an alternate possibility: since both results rely on surface thermometers, they are not really independent and could be subject to similar fundamental errors. For example, both datasets could be affected by urban heat islands or other non-global effects — like local heating of airports, where traffic has been growing steadily.
But the main reason I have remained a skeptic is that the atmosphere, unlike the land surface, has shown no warming during the crucial period (1978-1997), either over land or over ocean, according to satellites and independent data from weather balloons. And did you know that climate models run on high-speed computers all insist that the atmosphere must warm faster than the surface — and so does atmospheric theory?
BEST has no data from the oceans, which cover 71% of the planet’s surface. True, oceans are not subject to urban heat islands, but they have problems with instrumentation. It is very likely that the reported warming during 1978-97 is simply an artifact — the result of the measurement scheme rather than an actual warming. Anyway, supporting data don’t show any ocean warming, either.
And finally, we have non-thermometer temperature data from so-called proxies: tree rings, ice cores, lake and ocean sediments, stalagmites. Most of these haven’t shown any warming since 1940!
Contrary to some commentary, BEST in no way confirms the scientifically discredited hockey stick graph, which was based on multi-proxy analysis and had been so eagerly adopted by climate alarmists. In fact, the hockey stick authors never published their post-1978 temperatures in their 1998 paper in Nature — or since. Their proxy record suddenly just stops in 1978 — and is then replaced by a thermometer record that shows rapid warming. The reason for hiding the post-1978 proxy data: it’s likely that they show no warming. Why don’t we try to find out?
None of the warmistas can explain why the climate hasn’t warmed in the 21st century, while CO2 has been increasing rapidly. It’s no wonder that Herman Cain, a former math and computer science major in college, says that “man-made global warming is poppycock” (NYT, Nov. 12). He blames climate fears on “scientists who tried to concoct the science” and “were busted because they tried to manipulate the data.”
Mr. Cain is not far from the truth — at least when one listens to Rich Muller. Muller’s careful to make no claim whatsoever that the warming he finds is due to human causes. He tells us that one third of the stations show cooling, not warming. Muller admits that “the uncertainty [involved in these stations] is large compared to the analyses of global warming.” He nevertheless insists that if he uses a large enough set of bad numbers, he could get a good average. I am not so sure.
Muller thinks that he has eliminated the effects of local heating, like urban heat islands. But this is a difficult undertaking, and many doubt that the BEST study has been successful in this respect. Some of Muller’s severest critics are fellow physicists: Lubos Motl in the Czech Republic and Don Rapp in California. Somewhat harshly, perhaps, Rapp would change the study designation from BEST to “WORST” (World Overview of Representative Station Temperatures).
I am one of those doubters. While many view the apparent agreement of BEST with previous analyses as confirmation, I wonder about the logic. It might be a good idea if BEST would carry out some prudent internal cheeks:
** Plot number of stations used between 1970 and 2000 and make sure that there have been no significant changes in what I call the “demographics”: station latitudes, altitudes, or anything that could induce an artificial warming trend.
**I would pay particular attention to the fraction of temperature records from airport stations — generally considered among the best-maintained, but subject to large increases in local warming.
** I would also decompose the global record of BEST into regions to see if the results hold up.
Of course, the most important checks must come from records that are independent of weather station thermometers: atmospheric temperatures, ocean temperatures, and temperatures from non-thermometer proxy data. But even then, it may be difficult to pinpoint the exact causes of climate change.
I conclude, therefore, that the balance of evidence favors little if any global warming during 1978-1997. It contradicts the main conclusion of the IPCC — i.e., that recent warming is “very likely” (90-99% certain) caused by anthropogenic greenhouse gases like CO2.
And finally, what to do if CO2 is the main cause, and if a modest warming has bad consequences — as so many blindly assume? I am afraid that the BEST project and Muller are of no help.
On the one hand, Muller is dismissive of policies to control CO2 emissions in the U.S. — much less in his State of California. In an Oct. 31 interview with the Capital Report of New Mexico, he stated:
… the public needs to know this, that anything we do in the United States will not affect global warming by a significant amount. Because, all projections show that most of the future carbon dioxide is going to be coming from China, India, and the developing world. … [A]nything we do that will not be followed by China and India is basically wasted.
On the other hand, Muller told MSNBC’s Morning Joe (Nov.14):
[W]e’re getting very steep warming … we are dumping enough carbon dioxide into the atmosphere that we’re working in a dangerous realm, where I think, we may really have trouble in the next coming decades.
So take your choice. But remember — there is no evidence at all for significant future warming. BEST is a valuable effort, but it does not settle the climate debate.
Jonas N says:
November 17, 2011 at 12:55 pm
Leif (and steven mosher)
I don’t know about the period, but I read it as the ‘atmosphere’ meaning (presumably) the lower to mid- troposphere. Which hasn’t warmed as the surface, as would have been expected .. and that more warming would have been expected there, according to almost all …
Measurements don’t show much difference: http://en.wikipedia.org/wiki/File:Satellite_Temperatures.png
teven mosher says:
November 17, 2011 at 9:59 am
Hi Anthony. happy 5 Bday
“It is very likely that the reported warming during 1978-97 is simply an artifact — the result of the measurement scheme rather than an actual warming. ”
…..Will any of you skeptical thinkers will lift a brain cell to critically examine Singer.
__________________________________________
I have a major problem with the whole idea that we can measure the global temperature to within a half degree much less +/- 0.05°C for today and to +/- 0.15°C in 1880. http://www.ncdc.noaa.gov/img/climate/research/global-jan-dec-error-bar-pg.gif
the CRU – errors
“Uncertainties in the station data:
* Measurement error: following [5] we estimate this as 0.04C on monthly average temperatures.”
(Note the weasel word “estimate”)
Here is the sampling error graph: http://strata-sphere.com/blog/wp-content/uploads/CRU%20Sampling%20Error.gif
A J Strata goes into the whole analysis and puts into words and math my major objection to the temperature data, my long ago lectures on significant figures. http://strata-sphere.com/blog/index.php/archives/11420
And that is BEFORE we talk of station siting issues.
In other words there is no way to know whether we have warmed or cooled without also looking at proxy data such as tomato plants (snicker), grape vines, trees and other temperature sensitive plants….
“tree rings, ice cores, lake and ocean sediments, stalagmites. Most of these haven’t shown any warming since 1940!”
An example of UH effect. Casino, Australia, has two w/stations within 200m of each other (5m difference in elevation). One is a manual station surrounded by buildings and only 2/3 metres from a tarred road. The other is an AWS and is situated in the middle of a grassed oval with no roads/buildings nearby.
Surely here is proof of the UH effect.
A grassed oval in a place like Casino will be irrigated. So I’d say the Urban Irrigation Effect is likely the main reason for the temperature difference. Irrigation increases the thermal capacity of the air lowering temperatures.
A quick look at the data seems to confirm this. Cooler summer temps at the AWS station. No winter difference.
Apologies for pouring cold water on your UHI theory. 🙂
Wil says:
November 17, 2011 at 10:55 am
I’m devastated BEST didn’t:) – now what? Because here is a complete list of things caused by Global Warming, absolutely required reading for everyone on this site. http://www.numberwatch.co.uk/warmlist.htm
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“…..gingerbread houses collapse, glacial earthquakes….”
ROTFLMAO
John T says:
November 17, 2011 at 11:52 am
I’ve seen the statement that 1/3 of the sites show cooling, but everyone seems to leave it at that and assume 2/3 show warming. Is that the case? Or do 1/3 show no change and 1/3 warming? Is there a common denominator for all the sites that show warming (urban? inland?) or cooling (rural? coastal?) or is there no correlation with any other factor?
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Frank Lansner took a look at the raw rural data and found some interesting things: http://joannenova.com.au/2011/10/messages-from-the-global-raw-rural-data-warnings-gotchas-and-tree-ring-divergence-explained/
Rosco says:
November 17, 2011 at 12:25 pm
…..Why do people rule out the Sun – we really do not know much about it after all and it is the source of almost all energy on Earth ?
_______________________________________-
That is real easy to answer. There are three main pillars to CAGW.
1. The temperature record shows warming.
2. The CO2 is well mixed in the atmosphere and has been steadily rising.
3. The energy from the sun is constant.
A fourth minor pillar is the Arctic Ice is melting.
All four of these pillars are valiantly and well defended here at WUWT. You only have to stick around WUWT for a while to see this.
Philip Bradley says:
November 17, 2011 at 1:06 pm
One important piece of information that gets overlooked in the satellite versus surface temperature debate is that satellites can only measure surface temperatures through clear skies.
Therefore any cloud/aerosol effects on the surface temperatures are lost….
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There is another problem with the “Official” surface temperatures that has recently been pointed out. That is the use of min/max for coming up with the avg. It “exaggerates the increase in the global average land surface temperature over the last 60 years by approximately 45%”
Singer writes, “It is very likely that the reported warming during 1978-97 is simply an artifact — the result of the measurement scheme rather than an actual warming.” I’m willing to bet that Prof. Singer has chosen his words wisely. Given that, such a statement could be a subtle hint that Dr. Singer has a new publication up his sleeves. I also wonder who would have the wherewithall to look into the impacts of the “mirage” problem with the models. Atmospheres that heat faster than the surfaces? Who would have programmed that??
I know Muller is a loose cannon on deck. However, it does seem that he is skeptical about everything except the fact that the surface record shows warming. Am I mistaken in this belief?
SEE More Soylent Green! says:
November 17, 2011 at 9:29 am
What an interesting choice of time frame, 1978-1997. It might be worth looking at that against the larger data set:
http://www.woodfortrees.org/plot/uah/plot/uah/to:1997/trend/plot/uah/trend/plot/uah/to:1999/trend
Trend 1978-1997: 0.0357588 per decade
Trend 1978-1999: 0.114072 per decade
Trend 1978-2011: 0.137965 per decade
Hmm, factor of 3.2 difference with only 10% more data, a period very sensitive to end conditions – something worth checking when examining trends. I find Singer ending the data in a strong La Nina rather deceptive, and a period likely “picked” just to give a particular impression.
Philip Bradley says:
November 17, 2011 at 1:32 pm
An example of UH effect. Casino, Australia, has two w/stations within 200m of each other (5m difference in elevation). One is a manual station surrounded by buildings and only 2/3 metres from a tarred road. The other is an AWS and is situated in the middle of a grassed oval with no roads/buildings nearby.
Surely here is proof of the UH effect.
A grassed oval in a place like Casino will be irrigated. So I’d say the Urban Irrigation Effect is likely the main reason for the temperature difference. Irrigation increases the thermal capacity of the air lowering temperatures.
______________________________________________
Fine here is another set
The only city & close by airport listed for North Carolina. The city is on the North Carolina/Virgina border and right on the ocean. Take a look at the city vs the airport! Norfolk City and
Norfolk International Airport
The Raleigh North Carolina area is in the piedmont area of North Carolina. It is far from both the mountains and the sea coast. Here is an Elevation map and North Carolina map of cities
North to south thru the middle of the state
North – Raleigh NC
Large city in the middle of NC – Fayetteville NC
South – Lumberton NC
Other Coastal Cities:
North – Elisabeth City
South – Wilmington NC
Rural
North – Louisburg
North – Louisburg
South – Southport
South – Southport
Here is the raw 1856 to current Atlantic Multidecadal Oscillation Amazing how the temperatures follow the Atlantic ocean oscillation as long as the weather station is not sitting at an airport isn’t it?
Leif
You linked to a comparison of two sets of surface temperature assessment.
I read Singer as atmosphere (lower to mid- troposphere) compared to surface measurements:
steven mosher says:
November 17, 2011 at 9:59 am
“It is very likely that the reported warming during 1978-97 is simply an artifact — the result of the measurement scheme rather than an actual warming. ”
You need to explain to people whether you agree with this nonsense or not.
==============================================================
Steven, please forgive me, as I’m probably being a bit thick. Please could you explain why you believe it is nonsense?
Elsewhere someone questioned the selection of 1979-1997 as a “crucial period”. I took this to be the period for which we have a satellite record coinciding with the period when any apparent warming actually took place (since even those most attached to belief in CAGW now appear to admit – if somewhat reluctantly – that there has been little to no actual warming since 1998.) But perhaps there is another reason this period was chosen, and if so I’d be grateful if someone could explain.
JeffC says:
November 17, 2011 at 11:42 am
John B …
umpteen studies ? really ? how about a link to just one of them … as far as their “clever maths” used to adjust them … well what you can clever maths I call a WAG and a bad one at that …
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OK, here’s one…
http://www.agu.org/pubs/crossref/2008/2008JD009916.shtml
and here’s another one…
http://www.springerlink.com/content/9knq066ce8b6knbf/
Tom_R says:
November 17, 2011 at 11:52 am
>> John B says:
November 17, 2011 at 10:57 am
In case you didn’t know, nobody denies the UHI effect. It is well documented. The issue is whether it biases temperature records. And the answer is, no it doesn’t. Why not? Because they use clever maths to correct for it. And how do we know the maths works? Because umpteen studies have shown that if you remove the urban stations, you still get the same answer. <<
Or the stations that were presumed rural in those 'umpteen studies' really aren't. How far away from a population center could you have placed a station in (say) 1950? Somebody had to live close by to read the thermometer. With the huge growth in air conditioning and air travel betwen 1950 and 1980, along with suburbs encroaching on former farmland, it's bizarre to model the adjustment for UHI as a small fraction of the (also modeled) upward adjustment made for time of observation changes.
=============
It amazes me the lengths some people will go to to avoid truths they don't like. UHI effect is real, but it does not skew the global temperature records. Deal with it!
Philip B
I will get back to you on that but I haven’t seen any sprinklers on the oval. The winter ‘non-difference’ may be because the tarred road would not get as hot during cooler months as summer. The manual w/station is affected by sprinklers because there are houses and lawns quite close by being watered.
And, just running my eye over some of the winter max figures, there still seems to be a large monthly discrepancy (0.2C – 0.5C).
I still feel my theory holds water.
Gail Combs,
The USA data may well show UHI.
However, in Australia (outside the far north tropics and perhaps parts of Tasmania), any area that is green in summer is guaranteed to be irrigated in summer. And urban irrigation cools temperatures due to the greater thermal capacity of humid air. Although with the added complication that there is a increased near ground water vapour GH warming effect. And these 2 effects operate over different time periods, resulting in a dependency between time of irrigation and time of temperature recording.
I usually stay out of UHI discussions, it just happened you picked an example that to me was clearly an irrigation effect.
If I created a climate model in college ,today, and it showed that CO2 did not pose a threat to the entire planet. The model would be obviously flawed and incorrect and would be disregarded. No grants for me; no internships; no doctorate. The tail wags the dog in this realm of “science”. The outcome is pre-described.
Leif Svalgaard says:
November 17, 2011 at 1:11 pm
——————————————
There are very large differences between the Berkeley Land temperatures and the Satellite Lower Troposphere temperatures and the Ocean Surface temperatures.
Why are Land temperatures increasing at 2 times the rate of the Lower Troposphere or the Oceans?
Why do the Land temperatures have up to 6 times more variability than the Lower Troposphere and the Oceans (in the Pinatubo eruption for example, Land temperatures declined by 1.5C, Lower Troposphere by 0.5C and Ocean SSTs by 0.25C ?
These are very important questions that need answering and as far as I can tell, noone has asked these questions yet.
http://img100.imageshack.us/img100/4432/berkeleyuahrsshadsst2.png
John B says:
November 17, 2011 at 3:40 pm
“UHI effect is real, but it does not skew the global temperature records.”
Why?
Ian, Of course if you have first hand data about whether irrigation is there or not, I’d like to hear.
The BoM is its usual inaccurate self. It gives the same lat lon for both stations. There is no sign of either at that location on Google Earth.
Amusingly, the Bom says the Casino Airport site has been operating since 1858, 50 years before the invention of the airplane.
KR says:
November 17, 2011 at 2:33 pm
I find Singer ending the data in a strong La Nina rather deceptive, and a period likely “picked” just to give a particular impression.
What I meant.
Jonas N says:
November 17, 2011 at 3:01 pm
You linked to a comparison of two sets of surface temperature assessment.
No, the satellite data is not for the surface: E.g. UAH provides data on three broad levels of the atmosphere.
The Lower troposphere – TLT (originally called T2LT).
The mid troposphere – TMT
The lower stratosphere – TLS[3]
Bill Illis says:
November 17, 2011 at 4:49 pm
These are very important questions that need answering and as far as I can tell, noone has asked these questions yet.
Singer seems to know the answers before the questions were asked 🙂
Whatever the differences, the trend over the critical period 1978-2011 is up. We look stupid if we deny that, but please go ahead.
Philip
Just ran the figures for Casino temps in winter to compare max temps between the AWS and the manual w/station.
AWS – 21.11C Manual – 21.53C
Your point was valid but in this case does not really apply. UHI still apparent.