It seems that Marcott et al isn’t all that it is cracked up to be. Dr. Easterbrook takes a good hard look at the paper.
Guest post by Dr. Don J. Easterbrook
(Note: Because of the far-reaching implications of the conclusions in this paper and the nature of the data, this review will be broken into several segments. This is Part I).
The news media has exploded with extraordinary claims of ‘unprecedented global warming’ asserted in a paper “A Reconstruction of Regional and Global Temperature for the Past 11,300 Years” by Marcott, Shakun, Clark, and Mix in Science. A NY Times headline reads “Global Temperatures Highest in 4,000 Years,” and proclaims that global warming will “surpass levels not seen on the planet since before the last ice age.”
Here are some of the truly extraordinary assertions in the paper:
1. “Current global temperatures of the past decade … are warmer than during ~75% of the Holocene temperature history.”
2. “Global mean temperature for the decade 2000–2009 …. are, however, warmer than 82% of the Holocene”
3. ~0.6°Cof warming from the early Holocene (11,300 yr B.P.) to a temperature plateau extending from 9500 to 5500 yr B.P.. This warm interval is followed by a long-term 0.7°C cooling from 5500 to~100 yr B.P. (Fig. 1B).
4. Early Holocene (10,000 to 5000 years ago) warmth is followed by ~0.7°C cooling through the middle to late Holocene (<5000 years ago), culminating in the coolest temperatures of the Holocene during the Little Ice Age, about 200 years ago.
5. “Global temperatures are warmer than at any time in at least 4,000 years.”
6. “Over the coming decades are likely to surpass levels not seen on the planet since before the last ice age.”
7. “Surface temperature reconstructions of the past 1500 years suggest that recent warming is unprecedented in that time.”
8. Our global temperature reconstruction for the past 1500 years is indistinguishable within uncertainty from the Mann et al. (2) reconstruction
9. A cooling trend from a warm interval (~1500 to 1000 yr B.P.) to a cold interval (~500 to 100 yr B.P.), which is approximately equivalent to the Little Ice Age (Fig.1A). This similarity confirms that published temperature reconstructions of the past two millennia capture long-term variability, despite their short time span (3, 12, 13).
10. “Global temperature of the early20th century (1900–1909) was cooler than>95% of the Holocene.”
11. “Global temperature….. has risen from near the coldest to the warmest levels of the Holocene within the past century.”
12. A heat spike like this has never happened before, at least not in the last 11,300 years. “If any period in time had a sustained temperature change similar to what we have today we would have certainly seen that in our record. ” It is a good indicator of just how fast made-climate change has progressed. (Marcott quoted on CNN)
They arrived at these conclusions by “reconstructing regional and global temperature anomalies for the past 11,300 years from 73 globally distributed records” “largely derived from marine archives (~80%),” including paleoclimate temperature proxies such as alkenone, planktonic foraminifera Mg/Ca 23, fossil pollen, ice-core stable isotopes, and Mann et al. (2008) tree ring reconstructions. Although a list of sources of the data from the 73 sites is provided in an appendix, nowhere is any real data presented, so assessing the validity or accuracy of the original data is not possible without digging out all of the source papers. Just how accurate are these marine temperature reconstructions? We really can’t tell without any original data for specific sites. There are two issues here: (1) How accurately can the paleotemperatures be measured, and (2) how accurate is the dating of the material? The accuracy of the paleotemperature measurement depends on the method used and since multiple methods were used, the results are a mixture of varying accuracies. Dating marine fossils (80% of the samples used in the study) depends on radiocarbon measurements, and the marine lag effect. Radiocarbon in marine organisms is generally 400-800 years older than land organisms, so correction factors must be used, and this affects the accuracy of dates.
Eighty percent of the source data sites were marine, so temperatures from 80% of the data set used in this paper record ocean water temperatures, not atmospheric temperatures. Thus, they may reflect temperature changes from ocean upwelling, changes in ocean currents, or any one of a number of ocean variations not related to atmospheric climates. This in itself means that the Marcott et al. temperatures are not a reliable measure of changing atmospheric climate.
The paper consists entirely of complicated computer manipulations of data (definitely not light reading for anyone but computer modelers) and conclusions. As Andy Revkin (Dot Earth) points out, “This work is complicated, involving lots of statistical methods in extrapolating from scattered sites to a global picture, which means that there’s abundant uncertainty.”
Without any original data to assess, how can we evaluate the validity of the conclusions? The only way is to check the conclusions against well-established data from other sources. As Richard Feynman eloquently described the scientific method, once hypotheses (conclusions) are set out, their consequences can be checked against experiments or observations. If a hypothesis (conclusion) disagrees with observations or experiments, it is wrong. It doesn’t make any difference how beautiful the hypothesis (conclusion) is, how smart the author is, or what the author’s name is, if it disagrees with data, experiments, or observations, it is wrong. Period. So let us apply this method to the conclusions of this paper and test them to see if they are right or wrong.
First, let’s test the Marcott et al. 11,300 year temperature curve against the GISP2 Greenland ice core oxygen isotope record (Alley, 2000) (Figure 1 below). The Greenland ice core data is widely considered to be the ‘gold standard’ of quantitative paleo-temperature measurements with thousands of accurately dated analyses covering many thousands of years. From the Alley (2000) curve, it is readily apparent that temperatures during virtually all of the period from 10,000 to 1,500 years ago were warmer than at present and 85% of the past 10,000 years were warmer than present. The curve extends to 95 years ago, but even if we add 0.7°C for warming over the past century (dashed line), temperatures were still dominantly warmer than present.
Figure 1. Comparison of Greenland ice core temperatures and Marcott et al. temperatures for the past 10,000 years. (Top curve modified from Alley, 2000 based on data from Cuffy and Clow; bottom curve modified from Marcott et al., 2013)
Let’s compare this to the Marcott et al. conclusion “Current global temperatures of the past decade … are warmer than during ~75% of the Holocene temperature history” and “Global mean temperature for the decade 2000-2009 ….are warmer than 82% of the Holocene”(lower curve, Figure 1). The Marcott et al. conclusion is totally at odds with the Greenland ice core data. But why should we believe the ice core data rather than the Marcott et al. computer generated curve? Well, the ice core curve is based on thousands of isotope measurements that reflect paleotemperatures and the chronology is accurate to within about 1-3 years, whereas the Marcott et al. curve is essentially based on computer-manipulated data with multiple data types using different technologies with varying accuracy and chronology accurate only within hundreds of years. Marcott et al. assert that this doesn’t matter over a period as long as 10,000 years. But, of course, the accuracy of a body of data depends on the sum of the accuracies of its individual components, e.g. you can’t claim microscopic accuracy from a bulldozer, no matter how you manipulate the data.
What about the global implications of the Greenland ice core data? The cores come from specific sites on the Greenland ice sheet, so doesn’t the data pertain just to those particular places? That’s true, but the real question is does it mirror the global climate? The answer to that is definitely yes—correlation of temperatures from the ice cores with global glacial fluctuations is clear and unequivocal. Even small fluctuations of ice core paleo-temperatues can be accurately correlated with advance and retreat of glaciers globally (this topic will be expanded later). In addition, modern Greenland temperatures mimic global temperatures—comparison of temperature records from weather stations in Greenland with global temperatures confirm that Greenland marches in lock step with global climate (Figure 2). Thus, we can conclude that paleo-temperatures in Greenland ice cores are representative of global temperatures.
Figure 2. Comparison of Greenland temperatures
Let’s look at some specific features of the Marcott et al. curve. As shown in more than 3,000 publications, the Medieval Warm Period (MWP) is widely recognized to have been somewhat warmer than present Figure 1). In the past 10,000 years, at least six other warm periods of magnitude equal to the MWP occurred; nine other warm periods that were 0.5°C warmer than the MWP occurred; two warm periods that were 1°C warmer than the MWP occurred; and three warm periods that were 1.5°C warmer than the MWP occurred. All of these periods warmer than the MWP clearly contradict the Marcott et al. conclusions.
The Marcott et al. conclusions that “Current global temperatures of the past decade … are warmer than during ~75% of the Holocene temperature history” and “Global mean temperature for the decade 2000-2009 ….are warmer than 82% of the Holocene” are clearly contrary to measured, accurate, real-time data and thus fail the Feynman test, i.e., they are wrong.
This rebuttal addresses only part of the Marcott et al. paper. To include analyses of all the issues would take a much longer response, so this is just Part 1. The next part will consider some or all of the remaining conclusions listed at the beginning.
References
Alley, R.B., 2000, The Younger Dryas cold interval as viewed from central Greenland: Quaternary Science Reviews, vol. 19, p.213-226.
Cuffey, K.M. and Clow, G.D, 1997, Temperature, accumulation, and ice sheet elevation in central Greenland through the last deglacial transition: Journal of Geophysical Research 102:26383-26396
Marcott, S.A, Shakun, J.D., Clark, P.U., and Mix, A.C., A Reconstruction of Regional and Global Temperature for the Past 11,300 Years: Science, vol. 339, p. 1198-1201.
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Geologist Dr. Don J. Easterbrook, Emeritus Professor at Western Washington University, who has authored eight books and 150 journal publications. His CV is here
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Well, I looked this over, and just from looking at the graph I have a question: Are there sure they didnt change the scale at the end? IT is pretty clear that prior to the 20th century the graph has been smoothed and averaged in some way, but the only way they could possibly get a spike on a 1 year resolution is if they stopped that smoothing and averaging for the 20th century. How could this possible be valid when they clearly changed their methodology for the last 100+ years in comparison to the previous several thousand years? I am not a statistician or a scientist, but I do consider myself reasonably well educated.
Steve McIntyre says:
March 11, 2013 at 11:15 am
I’ve looked closely at their data and will be commenting on the article.
<<<<<<<<<<<
Looking forward to it.
@Mosh – If it is not that complicated for you I would like to here your opinion of it. No /sarc, incase my comment translates that way.
Mosher you are not responding to Dr. Easterbrook, why is that? He seems to make a lot of valid points.
In general how can “Climate Science” be reported with not one word about accuracy? No description of the level of error, or the precision to which the findings can be trusted? No other science would permit such egregious failure, not even political polling where they always report the percentage within which the results can be trusted. This “Climate Science” is fraudulent, an attempt to manipulate public opinion to keep the funding coming.
Some day they will all have to wear raincoats in public as all they encounter will spit…..
Thank God for the Internet and its rapid response capability. When I first saw Marcott’s Mann-ian graph with the very smooth temperature bands from 1500 (BP) to 2000 (BP), flags went up fast.
Just a matter of time until Steve McIntyre or John Christie would hopefully chime in with well-reasoned critiques.
Mosher … I agree with the several other comments … please offer your insight as to issues and what you see – clearly you have something worthwhile to contribute. We all benefit if/when you do. Thx.
Excellent post by Don Easterbrook – it still comes down to the same old thing though – and that is; that a proxy is still only a ballpark indicator at best, and in no way can be directly comparable to actual ‘calibrated’ measurements of the alleged ‘equivalent’ current climate proxy parameter – UNLESS, by some freak of nature, we find a proxy that is only ever affected by just ONE variable/parameter, from a directly comparable and ‘calibratable’ and CURRENTLY measurable equivalent climatic or ‘depositional’ variable/parameter as of ‘today’ – we are really just performing elaborate guesswork?
To my knowledge, no such proxy exists (but if I’m wrong, perhaps someone can point me to it!) and hence, ALL proxy data needs to be consigned to the ‘POSSIBLE INDICATOR ONLY’ tray!
Proxies are useful, sure, but in trying to build complex datasets, composed only of compounded proxies, moulded and tortured to extract alleged meaningful results is, to my mind, rather futile……… just my view.
The hockey stick comes from the Supplementary Information of the paper:
http://statpad.files.wordpress.com/2013/03/marcott_spaghetti.jpg
It is formed from the manipulations on the 1000 artificially constructed “realizations”. No real proxies were harmed in the making of this hockey stick. 🙂
Given that they are essentially measuring mostly sea temperatures it may be a reasonable constrcution over the long period. There is a LOT of water to provide buffering/smoothing effects !
So long as you ignore the fake instrumental atmospheric spike at the far right, you can see that the current temperature is well below the rest of the Holocene.
Its that fake spike at the end that is their “money” shot !
Strange that so many comments on a self-proclaimed skeptical blog fail to see the obvious error…
In Fig.1 the author adds .7º C to the Greenland temperature proxy data to show the readers where we are today. As a justification for using the Greenland data as a mirror for global temperatures the author points at the correlation between Greenland temperatures and global temperatures and illustrates this with Fig. 2. However, taking the data in the figures and the correlation for granted, the global temperatures have risen by .7º C whereas the the Greenland temperatures have risen by around 3º C in Fig. 2 during the same period! Thus, the correlation appears to be there, but the rise in Greenland is about 4 times or more stronger (hard to say exactly because the graphs have different endpoints). So, instead of adding .7º C to Fig. 1 the author should have added 3º or so. Look where you end up then!
I can’t understand the author didn’t notice this himself, I really can’t.
AndyG55
The spike at the end is the entire point of the paper , by doing this they know it will make AR5 and receive much ‘Team’ support along with becoming part of AGW dogma. Its actual validity has nothing to do with this , this is after all ‘climate science’ where quality is a direct function of the support it offers to ‘the cause ‘
Critiques should also take note of proxy studies that were omitted. This omission would be a subtle way of putting their thumb on the scale.
Look I’ve made my very own hockey-stick!
http://www.woodfortrees.org/plot/gistemp/from:2001/to:2012.50/offset:-0.08/trend/plot/gistemp/from:2012.5
Paul Mathews, you are right, and I had not looked hard. you wrote: Their sec 6 and fig S10 shows that the number of proxies falls off from the total number of 73 to a very small number, so the spike must be just from a very small number of proxies. Fig S10 also shows that the picture is completely different at different latitudes – at 30-60S for example the temperature shot up 250 yrs ago and then levelled out, while at 60-90S it spikes up then back down again.
That some places show the right-hand spike and some don’t is something I think is to be expected, and subdividing the sample into those series that spike recently and those that don’t may be informative. On the other hand, such post hoc subsample analysis has a multiplicity problem: you can always divide the sample into some series that have “more” of something and the others that have “less”, and with enough covariates you can easily find at least one that seems to discriminate the “more” from the “less” (almost) perfectly. Whether the sample is “representative” of the whole is always a problem. If it is, then the mean is adequate, even though every particular sample is different from the mean. That the number of samples drops off for recent dates is the biggest problem, I think. I don’t think they specifically tested for selection bias by examining whether the early temperatures were statistically related to later availability. If you find that, please let me know.
If the right-hand spike is true, it can be smoothed out and made to disappear by smoothing with data sufficiently far back in time. So I think that your comment about “time step” is two-edged; maybe the spike is an artifact, or maybe it is something real that can be obliterated by a graphical or statistical technique chosen for that purpose.
If this has similar results as Mann et al., there should be something wrong with it. Remember, once errors are removed from Mann et al papers, the hockey stick disappears and the medieval warm period reappears.
My problem with this paper is that it does not pass the “eye test”. The blade of the hockey stick in Marcott, et. al., is made up of exactly 2 points; the latest point, centered at 1940 (+0.6°C anomaly), and the next point centered at 1920 (-0.1 anomaly). Connected, they make the dramatic final rise in temperatures. However, when you look at the raw data, a very different picture emerges. Only 9 of the 73 proxies contain data (33 points in all) in each of the last 2 time periods. These 9 proxies should contain all the information required to make the blade. When a slope is calculated in the 1920-1940 time period for each of these 9 proxies, 5 show a negative slope (decreasing temperature), 3 show a positive slope and 1 shows no change. An average slope for the 9 relevant proxies is slightly positive, but nowhere near as dramatic as in Marcott’s plot. Could it be that Marcott’s statistical procedure has greatly overweighted the only 3 proxies with a positive 1920-1940 slope?
It seems to me that the statistical massaging of the data has greatly exaggerated the slope of the final 2 data points – giving a much distorted account of what the data actually reveals. My experience with statistical modeling over the years has taught me that if your eyes and the stats output are telling you different things, go with your eyes.
People are still looking for hockey sticks in the proxies. The “sticks” are simply not there.
Of the 25 proxies which have any observations after 1900,
14 have exactly 1 each
4 have exactly 2 each
2 have exactly3 each
1 has exactly 4
2 have exactly 5 each
1 has exactly 8
1 has exactly 10
and the last two are amazingly flat!
There are no 20th century hockey sticks in the proxies themselves.
Even if all 73 proxies go all the way through the record ( which they don’t), and all are highly reliable indicators of temperature (which they are not), we have 4 per 10 degrees of latitude, and 2 per hemisphere of that.
And they really expect us to believe that they can accurately measure what the global temperature was 5000 years ago?
“8. Our global temperature reconstruction for the past 1500 years is indistinguishable within uncertainty from the Mann et al. (2) reconstruction.”
Uh-oh! Did we lose that pesky Medieval Warm Period again?
Steve McIntyre says (March 11, 2013 at 11:15 am): “I’ve looked closely at their data and will be commenting on the article.”
Is there another YAD06 in our future?
http://climateaudit.org/2009/09/30/yamal-the-forest-and-the-trees/
Reich.Eschhaus says:
March 11, 2013 at 2:09 pm
Strange that so many comments on a self-proclaimed skeptical blog fail to see the obvious error…
…So, instead of adding .7º C to Fig. 1 the author should have added 3º or so. Look where you end up then!
—————————————–
I noticed that too.I think it would be best to compare with the actual measurement from the GIPS2 site.
“The current decadal average surface temperature (2001–2010) at the GISP2 site is −29.9°C.”
http://www.australianclimatemadness.com/wp-content/uploads/2012/02/greenland_temps.png
http://www.australianclimatemadness.com/2012/02/ice-core-data-shows-greenland-warmer-in-the-past/
I would have additional issues,
1. Greenland multi year ice and climate may be particularly influenced by black carbon warming and thus no longer representive for global climate.
2. MCSHANE and WYNER have shown in their paper, that such reconstruction are not able to reproduce sharp run-up in temperature in the 1990s either in-sample or from contiguous holdout blocks, thus casting doubt on their ability to predict such phenomena if in fact they occurred several hundred years ago.
Then this compares apples with oranges, sharp variation in measured temperature versus low frequency content several hundred years ago, where extrema are flattened by averaging and also different dating errors of different proxies.
“I think it would be best to compare with the actual measurement from the GIPS2 site.
“The current decadal average surface temperature (2001–2010) at the GISP2 site is −29.9°C.””
Yes, that is actually another omission from the author. I have not checked the numbers, so taking it at face value again, but if he had used this value then
“2. “Global mean temperature for the decade 2000–2009 …. are, however, warmer than 82% of the Holocene” ”
seems right on spot (by means of eye-balling 😉 )
“I would have additional issues,”
We all have issues! 😉 The reason for my original comment was however that the author can’t have it both ways. Showing the data in Fig. 2 that the Greenland temperature record apparently correlates with global temperatures but at an increased rate (4 times I estimated it from looking at the graph) and at the same time adding the global temperature increase to a record of Greenland temperatures to show that in the larger part of the referenced time frame it was warmer. It’s plain silly! His conclusions are not warranted in any way.
Re: Black carbon and McShane & Wyner. I don’t know. There may be issues with black carbon but no clue what its effects are at the GISP2 site when the snow there is not melted to have black carbon decrease albedo there. The McShane and Wyner article was quite controversial if I remember correctly. Anyway, I was reacting on the on the logic of the piece above the line and there was no explanation there for why Greenland temperature differences are greater than global temperature differences.
How did this paper get published?
The problem with Greenland temperatures is that they change by 3 to 5 times as much as the global temperature does.
Here is Greenland vs the estimated Global temperature since the start of the previous interglacial. Important chart for Greenland temperature watchers. -25.0C in Greenland at the last glacial maximum vs just -5.0C for global temperatures?
http://s18.postimage.org/6rih4vhrd/Greenland_vs_Global_Temperatures_135_Kya.png
Part of the problem is that the Greenland temperature estimates have been derived from an inaccurate borehole thermometry model. This has overstated the change in temperature over time by 2.0 to 2.5 times what really happened.
Secondly, one of these Greenland ice cores with 5 times the global temperature change, the Agassiz-Renland ice core, forms the basis of the uptick of the blade in Marcott 2013. No other proxy provides for this uptick. Now Agassiz-Renland was certainly warmer in the Holocene than today but its warm Holocene temperatures are overwhelmed with a bunch of random Tex86 and mg/ca temperature proxies in the same period.
http://s2.postimage.org/j4zwjyxmh/Marcott2013_Ag_Ren_ice_core.png
Tad says:
“How did this paper get published?”
Tad, it got published by passing peer review at one of our most respected science journals.
If Steve McIntyre, or the author of this thread, or any others wish to rebutt the paper’s findings; they should publish a paper showing how the authors have erred.
Or they can simply proffer one more opinion on a blog. JP
My summary of this paper: Laughable, as it relies solely on propagation of error and statistically inadmissible data. Worse, the future is forecast based on hollow, inaccurate, and invalid conclusions of recent conditions — using nothing but non-comparable proxy data amalgamations. Sheeees ! What a joke.
The foolishness of the Marcott et al paper forms a textbook-quality basis for how NOT to pursue and present scientific analysis.
Shaun Marcott should be ashamed of himself.
“Global mean temperature for the decade 2000–2009 …. are, however, warmer than 82% of the Holocene”
==============
Considering the Holocene is at least 10,000 years long , that means that 1800 years were warmer than the past decade. 1800 years were warmer. 1800 years.
Yet the polar bears didn’t go extinct. Humans didn’t die out. 1800 years were warmer than present and we saw the birth of human civilization during the same time period. The development of agriculture, cities, law, science, medicine. During a time in which 1800 years were warmer than today!!!
So, where is the problem? Get a grip.
@knr says:
AndyG55
The spike at the end is the entire point of the paper.
As I said.. the money shot.. the little bit of fakery that keeps the money coming in. 🙂