Guest Post by Willis Eschenbach
In 2006, I lived for a year in Waimea, on the Big Island of Hawaii. From my house I could see the Mauna Loa Observatory (MLO). This observatory is the home of the longest continuous series of CO2 measurements we have. The recording station was set up by Dave Keeling in 1959, and has operated continuously ever since.
Figure 1. Mauna Loa Observatory ( 19.536337°N, 155.576248°W)
Here’s a view of the observatory:

Every time the subject of CO2 measurements comes up, people raise all kinds of objections to the Mauna Loa measurements. So I thought I’d start a thread where we can discuss those objections, and perhaps dispose of some of them.
Here are the objections that I hear the most:
1. The Mauna Loa results don’t measure the background CO2 levels.
2. You can’t get accurate CO2 measurements from samples taken on the side of an active volcano that is outgassing CO2.
3. The measurements from Mauna Loa are not representative of the rest of the world.
4. What about the Beck data, doesn’t it contradict the MLO data?
5. Keeling chose a bad location.
Before we get into those issues, let’s start by looking at the local meteorological conditions at the site. Mauna Loa is at an elevation of 3397 metres (11,140 ft) on the side of a 4,170 metre (13,680 ft) volcano way out in the middle of the Pacific Ocean. Because it is on an island, it gets the “sea breeze” in the daytime, and the “land breeze” in the nighttime.
These winds are caused by the differential heating of the land and the sea. Land heats up much faster than the ocean. So during the day, the warmer land heats the air, which rises. This rising air is replaced by air moving in from the surrounding ocean, creating the “sea breeze”.
At night, the situation is reversed. The land is cooler than the ocean. This cools the air. The cool air runs downhill along the slopes of the island and out to sea, creating the “land breeze”. Here’s a drawing of the situation:
Figure 2. Day and night breezes at Mauna Loa.
Now that we understand what is happening at Mauna Loa, let’s look at the objections.
1. The Mauna Loa results don’t measure the background CO2 levels. As you might imagine from Fig. 2, the CO2 measurements are taken only at night. Thus, they are measuring descending air that is coming from thousands of feet aloft. This air has traveled across half of the Pacific Ocean, so it is far from any man-made CO2 sources. And as a result, it is very representative of the global background CO2 levels. That’s why Keeling chose the site.
2. You can’t get accurate CO2 measurements from samples taken on the side of an active volcano that is outgassing CO2. This seems like an insuperable objection. I mean, Mauna Loa is in fact an active volcano that is outgassing CO2. How do they avoid that?
The answer lies in the fact that the volcanic gasses are very rich in CO2. At night, they are trapped in a thin layer near the ground by a temperature inversion.
To detect the difference between volcanic and background CO2, the measurements are taken simultaneously from tall towers and from near the ground, at intervals throughout the night. Background CO2 levels will be around 380 ppmv (these days), will be steady, and will be identical at the top and bottom of the towers. Volcanic gasses, on the other hand, will be well above 380 ppmv, will be variable, and will be greater near the ground than at the top of the towers.
This allows the scientists to distinguish reliably between volcanic and background CO2 levels. Here is a description of the process:
Air samples at Mauna Loa are collected continuously from air intakes at the top of four 7-m towers and one 27-m tower. Four air samples are collected each hour for the purpose of determining the CO2 concentration. Determinations of CO2 are made by using a Siemens Ultramat 3 nondispersive infrared gas analyzer with a water vapor freeze trap. This analyzer registers the concentration of CO2 in a stream of air flowing at ~0.5 L/min. Every 30 minutes, the flow is replaced by a stream of calibrating gas or “working reference gas”. In December 1983, CO2-in-N2 calibration gases were replaced with the currently used CO2-in-air calibration gases. These calibration gases and other reference gases are compared periodically to determine the instrument sensitivity and to check for possible contamination in the air-handling system. These reference gases are themselves calibrated against specific standard gases whose CO2 concentrations are determined manometrically. Greater details about the sampling methods at Mauna Loa are given in Keeling et al. (1982) and Keeling et al. (2002).
Hourly averages of atmospheric CO2 concentration, wind speed, and wind direction are plotted as a basis for selecting data for further processing. Data are selected for periods of steady hourly data to within ~0.5 parts per million by volume (ppmv); at least six consecutive hours of steady data are required to form a daily average. Greater details about the data selection criteria used at Mauna Loa are given in Bacastow et al. (1985). Data are in terms of the Scripps “03A” calibration scale.
There is a more detailed description of the measurement and selection process here.
As a result, the Mauna Loa record does accurately measure the background CO2 levels, despite the fact that it is on an active volcano. The samples that are identified as volcanic CO2 are not thrown away, however. They are used for analyses of the volcanic emission rates, such as this one (pdf).
3. The measurements from Mauna Loa are not representative of the rest of the world. Well, yes and no. The concentration of atmospheric CO2 varies by month, and also by latitude. Here is a “carpet diagram” of the changes by time and latitude.
Figure 3. A “carpet diagram” of CO2 distributions, by time and latitude.
Note that the swings are much greater in the Northern Hemisphere. Presumably, this is from the plants in the much larger land area of the Northern Hemisphere. However, the difference between the annual average of the Northern and Southern Hemispheres is small. In addition, there are smaller daily variations around the planet. An animation of these is visible here, with day by day variations available here.
Figure 4 shows is a typical day’s variations, picked at random:
Figure 4. Snapshot of the variations in tropospheric CO2. Note that the range is small, about ±1% of the average value.
In general, the different global records match quite closely. In addition to the Mauna Loa observatory, NOAA maintains CO2 measuring stations at Barrow, Alaska; American Samoa; and the South Pole. Here is a comparison of the four records (along with two methane records):
Figure 5. Comparison of the CO2 records from the four NOAA measuring sites.
As you can see, there is very little difference between the CO2 measurements at the four stations – two in the Northern Hemisphere, two in the Southern, two tropical, and two polar.
4. What about the Beck data, doesn’t it contradict the MLO data? In 2007, Ernst-Georg Beck published a paper called “180 Years Of Atmospheric CO2 Gas Analysis by Chemical Methods” (pdf). In it, he showed a variety of results from earlier analyses of the atmospheric CO2. In general, these were larger than either the ice core or the MLO data. So why don’t I believe them?
I do believe them … with a caveat. I think that the Beck data is accurate, but that it is not measuring the background CO2. CO2 measurements need to be done very carefully, in selected locations, to avoid contamination from a host of natural CO2 sources. These sources include industry, automobiles, fires, soil, plants, the list is long. To illustrate the problems, I have graphed the Beck data from his Figure 13, against the Law Dome ice core data and the MLO data.
Figure 6. CO2 data from a variety of sources. White crosses are MLO data. Three separate ice core records are shown. Photo is of Mauna Loa dusted with snow (yes, it snows in Hawaii.) PHOTO SOURCE
There are several things to note about this graph. First, there is good agreement between the Law Dome ice core data and the MLO data over the ~ two decade overlap. Second, there is good agreement between the three separate Law Dome ice core datasets. Third, both the ice cores and the MLO data do not vary much from year to year.
Now look at the various datasets cited by Beck. Many of them vary quite widely from one year to the next. The different datasets show very different values for either the same year or for nearby years. And they differ greatly from both the ice core and the MLO data.
Because of this, I conclude that the Beck data, while valuable for showing ground level CO2 variations at individual locations, do not reflect the background CO2 level of the planet. As such, they cannot be compared to the MLO data, to the ice core data, or to each other.
5. Keeling chose a bad location. I would say that Keeling picked a very good location. It not only allows us to measure the background CO2 in a very accurate manner, it provides invaluable information about the amount of CO2 coming from the volcano.
My conclusion? Most of the records in the field of climate science are short, spotty, and not very accurate. We have little global historical information on ocean temperatures, on land temperatures, on relative humidity, on atmospheric temperatures, on hurricane occurrence and strength, or on a host of other variables. By contrast, the Mauna Loa CO2 records are complete since 1959, are very accurate, and are verified by measurements in several other locations.
I’m about as skeptical as anyone I know. But I think that the Mauna Loa CO2 measurements are arguably the best dataset in the field of climate science. I wouldn’t waste time fighting to disprove them, there are lots of other datasets that deserve closer scrutiny.
[UPDATE] A reader below has added another question, viz:
6. What about Jaworoski’s claim that the ice core data has had its age “adjusted”?
Jaworoski argues that the age of the air in the ice cores has been “adjusted” to make it align with the modern data. He says, for example, that the Siple ice core data has been moved forwards exactly 83 years to make them match the Mauna Loa data.
Dating the ice core data is problematic. We can date the ice itself pretty accurately, through counting layers (like tree rings) and through studying various substances such as volcanic dust that is trapped in the ice. However, dating the air is harder.
The difficulty is that the air is not trapped in the ice immediately. The pores in the “firn”, the snow that falls annually on top of the ice are open. Air can flow in and out.
As more and more snow falls over the years, at some point the pores close off and the air is trapped. So how long does it take for the pores in the firn to seal off?
Unfortunately, as in so many areas of climate science, the answer is … “depends”. It depends inter alia on how much snow falls every year, how much of that snow sublimates (changes from a solid to a gas) every year, and even the shape and size of the individual snowflakes.
The end result of all of this is that we end up with two ages for any given thin slice of an ice core. These are the “ice age” (how old the ice itself is), and the “air age” (how old the air trapped in the ice is). The ice is always older than the air.
The main variable in that is thought to be the annual snowfall. Unfortunately, while we know the current rate of annual snowfall, we don’t know the historical rate, particularly tens of thousands of years ago. So we use the concentration of an isotope of oxygen called “d18O” to estimate the historical snowfall rate, and thence the firn closing rate, and from that the air age.
Sounds a bit sketchy? Well … it is, particularly as we go way back. However, for recent data, it is much more accurate.
So to bring this back to real data, in the ice core data I showed in Fig. 5, the air is calculated to be 30 years younger than the ice for cores DEO8 and DEO8-2, and 58 years younger for the DSS core. Is this correct? I don’t know, but I do know that there are sound scientific reasons for the “adjustment” that Jaworowski objects to .
Finally, the existence of a thirty to sixty year difference in air and ice age doesn’t make much difference in the pre-industrial levels of CO2. This is because prior to about 1800, the level is basically flat, so an error in the air age dating doesn’t change the CO2 values in any significant manner.
FURTHER INFORMATION:
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How we measure background CO2 levels on Mauna Loa
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Richard S Courtney says:
June 6, 2010 at 12:57 am
Richard, I have asked everyone, not just you but everyone, to post on this question on another thread. I have made no distinction by which side of the dispute they have taken. Yes, there has been stuff posted after I asked people to discuss it elsewhere. I am, as always, very reluctant to censor the thread.
However, your claim that there is some prejudice in this, that one side or the other has been favored, is not true. I have asked everyone not to post on this. Some people still have done so.
Everyone! Let this one go!
John Finn says:
June 6, 2010 at 11:35 am
I am currently writing a post where you can discuss the “human/not human” question to your hearts’ content … give me a day or so and I’ll post it up on WUWT so you can all abuse each other to your hearts’ content …
Willis, that is so sweet of you! The trolls will have a comfy little spot for a feeding frenzy, kind of like those inner-city programs to keep kids off the street and out of trouble. You are nothing if not a giving man. ☺ ☺
/dr.bill
Tony says:
June 5, 2010 at 11:11 pm
… And, there was a mention of a change in the type of flask. Also, I saw that the sole source of the flasks of calibration gas for all stations, and for the analysis of all sample-flasks for outlying stations, was Keeling’s lab.
That is what I was talking about. If you take an totally evacuated chamber, in a year it will be full of very diffuse hydrogen, some scientists place that to virtual particles and others to neutron/neutrino induced reactions. They still don’t know exactly why this spontaneous creation occurs. If the standard gas is decreasing over time then the readings would show a linear increase over time, just the opposite, almost a dead stright line, much like Mauna Loa’s plot. I would like to know more on this subject.
If there is any hidden errors, that is the most likely the place. Comparisons to the standard gas can be very accurate as we all know.
Thanks Willis!
I am less skeptical of the Mauna Loa record, as a result of your fine post here!
Long read through all of the comments on this one! The assertions of “almost certainty” by some of the AGW commentors remind of roosters crowing and the regular admonishments from my old high school science teacher:
“The rooster’s crowing at dawn does NOT make the sun rise, even though a direct correlation is generally agreed upon!”
He was a realist (a skeptic, before it was cool!), seeking beyond correlation and personal belief for true root cause and effect. I have found his insights to be a useful guide, as I completed my own engineering degrees and pursued a decades long career in astro and aerospace.
Keep up the good work!
Does the Mauna Loa Group happen to perform any ‘carbon dating’ on that fine Global CO2 they are sampling and measuring so carefully?
I hope you will take a similar run at the Segelstad talk from the 4th Heartland Conference.
If that material is not flawed, it seemed to be powerful stuff that would benefit from your lucid presentation style and genial hosting of discussion.
Wow, I was on the big island once when they were having ‘kona wind’.
Yikes, I went over to the industrial safety supply house and bought gas masks and acid cartridges. My wife was deploying all 12 of her asthma medications…
Only in your abundant free time of course.
Big thanx, I do not intend to derail the thread.
How come that annual variation is smoothed out in the ‘usual’ presentations?
RR
I would like to thank Fred H. Haynie for his presentations http://www.kidswincom.net/climate.pdf and http://www.kidswincom.net/CO2OLR.pdf
They answered my questions about the differences in yearly variability from site to site and a whole lot more. I would recommend them to everyone. I hope he joins our discussion on Willis’s next article.
Hmm. Willis?
Top-Down Versus Bottom-Up
Willis:
Yes, you did rule that ALL comments concerning the cause(s) of the recent rise in atmospheric CO2 concentration are “off topic”. All comments await moderation by the Editor before appearing, and that is why I addressed my complaint to the Editor and NOT to you.
Following your ruling I said I would abide by it, and I have done that. However, subsequently there has been a continued publication of assertions that the cause of the rise is anthropogenic (although there is no empirical evidence that demonstrates the cause is or is not anthropogenic). The Editor has not moderated these assertions: indeed, they have continued to be published in this thread following my complaint.
It is clearly bias to permit such comments following a ruling that they are “off topic” when those who assert the empirical facts (of what is and is not known about the cause(s) ) have agreed to abide by the ruling.
I thank you for arranging for a thread that will debate the subject.
Richard
This is amazing http://www.youtube.com/user/CarbonTracker
A time lapse motion-picture plot of CO2 vs latitude from 1979 along with a map showing the data source locations.
I don’t know if the data behind it is correct, but it shows southern hemisphere CO2 having hardly any annual cycle at all while the northern hemisphere bobs up and down dramatically.
When they reach the present, then they start going backwards in time through Keeling data, Law Dome data, Vostok core data, and finally EPICA Dome C core data back to 800kyr ago.
Willis, you’ve said that the topic is on the validity of the MLO data, but given the information that’s been provided, I have to ask a question on the usefulness of the MLO data.
From what you’ve said and the subsequent posts, it appears that the MLO data is a trend of CO2 minimums (the ‘background’ CO2 level). But their approach shows that there are definitely local variations (of a size unstated) and the Berk data shows that there are also local variations in CO2 level.
Given the importance that many people place on CO2 levels, and given that the effect of CO2 levels on temperature is logarithmic in nature, shouldn’t average CO2 levels be what we should be trying to measure, not minimums?
I personally suspect that the average wouldn’t be too far from the minimum, but we should have observations that match that and not just assume it.
To Derek:
Good post Derek! Exactly what I was thinking. Unless we are able to verify how the data was corrected this doesn’t mean anything.
I have no “faith” in any CO2 instrument data before 2000-2001. This is around the time that the gas vendors and instrumentation providers vastly improved the technology for measuring CO2. Before that time there were lots of interferences. Sometimes up to 20%.
I would like to see all the interference checks for the current and past instruments. Are they measuring on a wet basis? What are the absolute pressure readings, wet bulb and dry bulb measurements in and around the station?
What methodology is being used to correct the values for CO2 and has that methodology changed over time?
Fred H. Haynie says:
June 6, 2010 at 10:26 am
Gail Combs (and others)
Read my presentations http://www.kidswincom.net/climate.pdf and http://www.kidswincom.net/CO2OLR.pdf and see if it answers some of your questions. You can find my e-mail address on my website if you wish to contact me directly with further questions or comments.
Thank you for the links. They answer the question: “has anybody really looked at the problem with classical thermodynamics in mind?”
As you do not give publication references am I to assume this is just a side work?
Much as the peer group has been abused in the climate community, still, publications are a way for partially ensuring the general scientific public that no gross oversight has happened, so it would be good if you published these two expositions. Even though I am a physicist, this is not my field and my knowledge is shaky.
(for example you talk of heat being carried mainly by the water cycle, when I would presume you mean the energy transport that will turn into heat. I do not think clouds are particularly hot)
In any case, as Gail Combs suggests please join the next thread where we will be allowed to thresh similar stuff out.
After reading this thread am I convinced that the Mauna Loa CO2 measurements are good?
If good means “pure upper troposphere CO2”, no.
1)I think the upwelling and down welling argument extremely shaky, as there is experimental evidence that in such situations oscillatory patterns get set up circulating the same air.
2)Throwing away data at 2 sigma is fit manipulation. If one requires 4 sigma to be sure of a new particle I could accept throwing out 4 sigma away points . 2 sigma is still a fairly probable event and the shape could be biased, depending on the errors.
So no, even as such I am not convinced that the data presented my Mauna Loa and satellites is good.
Even more so, I am against this necessity of a “pure” sample. Ideally, all CO2 from all over the globe at all heights should be measured in order to know how much CO2 there is in the atmosphere, which after all is the point of the exercise. If we know the “pure” CO2 at 5000meters what does that have to say for the watts/m^2 which comes from the whole column over that one meter square, which are the objective of the exercise? Not much. The earth breaths ( as the AIRS animations show) CO2 at different rates in different locations. An integral over the whole earth is necessary to get at the amount of CO2 in the atmosphere in order to get a global number.
Look at Haynes’ http://www.kidswincom.net/climate.pdf presentation. Particularly pages 16,17.
How can a “pure well mixed” hypothesis hold, supposing that we do believe CO2 to be important in the warming observed, when such variations in sources and sinks exist?
Willis in headpost —
The pores do not all seal off simultaneously, so the measured air in any sample will be an average of many years’ CO2 values. Thus the measured values will appear to be a lot smoother as a function of time than the true values were. The period of this averaging could be as high as the estimated average lag — 30 years for 2 of the Law Dome cores, and 58 for the third.
If we knew the mathematical form of this averaging, the smoothing could be approximately inverted (but only approximately, since there would be more unknowns than equations). Is it possible that “Beck’s Blip” around 1940 is present in the Law Dome data, but just doesn’t look big because of the natural averaging?
In fact, most people look at the summary series, the longer of which for 1010-1975 adds a 75 year mathematical smoother on top of the natural averaging. This makes it look smoother yet.
Graeme W says:
June 6, 2010 at 5:52 pm
While it could be useful, it would be extremely hard to do. We’d have to measure at hundreds of places around the planet. Problems of equipment cost, maintenance, calibration …
w.
Hu McCulloch says:
June 6, 2010 at 10:40 pm (Edit)
It is possible that the averaging of the air could take place over the time period of the closing of the firn. I suspect that it would be less than that.
I doubt “Beck’s Blip”, however, not because of the ice core data, but because of the Moana Loa data. It rises smoothly and steadily, and shows none of the large decadal variations in the Beck data. And as Beck himself says above, “I agree, the near ground data listed in my first paper do not reflect background data. ”
Thanks,
w.
Richard S Courtney says:
June 6, 2010 at 4:56 pm (Edit)
First, my thanks for abiding by my request. Second, you are right that others did not do so, shame on them. However, in my opinion censoring them causes more problems than ignoring them.
Finally, I have opened the thread on human responsibility for the CO2 rise here, have at it.
My best to you,
w.
I am missing a post. Either the pixies got it or the junk queue.
I will repeat the point about purity and background.
There is no meaning in the concept if one wants to know the influence of CO2 on climate. The influence is collective and does not come from the pure and background locations but from the total globe and mostly from the layers close to the sources and sinks.
Look at pages 16 and 17 in Fred H. Haynie’s presentation
http://www.kidswincom.net/CO2OLR.pdf
With such variability over the globe and such sources and sinks, it is really strange to be talking of “pure” and “background”.
Anna V.
I have been retired from environmental research for 19 years. My last papers were published in the nineties. I’ve been putting these URL’s in blog comments trying to get critical peer reviews. Sceptic blogs publish them but I have been moderated out of the AGW blogs. I would be glad to work with anyone willing and able to take these ideas, improve on them, and get them published. You can check some of my publications by Googleing “Fred H. Haynie”.
Here is a comparison of the stations worldwide:
http://gaw.kishou.go.jp/wdcgg/products/summary/sum34/10_plate1_co2.pdf
I think the overall picture is quite clear.
Here is the whole report which explains a lot of the questions in the forum (chapter 3 is about CO2) 7.5MB!
http://gaw.kishou.go.jp/wdcgg/products/summary/sum34/sum34.pdf
And again the site where you can find all data:
http://gaw.kishou.go.jp/wdcgg/wdcgg.html
And a comparison of hourly data for the year 1976 in
Mauna Loa:
http://gaw.kishou.go.jp/cgi-bin/wdcgg/quick_plot.cgi?imagetype=png&dataid=200702142248
Barrow:
http://gaw.kishou.go.jp/cgi-bin/wdcgg/quick_plot.cgi?imagetype=png&dataid=200702142245
Waldhof:
http://gaw.kishou.go.jp/cgi-bin/wdcgg/quick_plot.cgi?imagetype=png&dataid=200702142247
Schauinsland:
http://gaw.kishou.go.jp/cgi-bin/wdcgg/quick_plot.cgi?imagetype=png&dataid=200702142251
Compare the ranges. Which one is the “right” one?
Finally, the existence of a thirty to sixty year difference in air and ice age doesn’t make much difference in the pre-industrial levels of CO2. This is because prior to about 1800, the level is basically flat, so an error in the air age dating doesn’t change the CO2 values in any significant manner.
Willis, it seems that you’ve missed the main point Jaworwski’s critique, as Charles Higley notes above. The deeper the ice, the greater the systematic error may be due to outgassing upon decompression. Hence, we cannot be sure that the long shaft of climate science’s other hockey stick is flat. Jaworwski wished to devise an experiment to check for this, but his idea was denied consideration on the grounds that it was “immoral.” (See Lawrence Solomon’s interview in “The Deniers”). Perhaps in the year 2258, ice cores dating to 1958 showing 200ppm levels will be found and posterity will have a good laugh at us.
Fred H. Haynie says:
June 7, 2010 at 4:41
I have been retired from environmental research for 19 years. My last papers were published in the nineties. I’ve been putting these URL’s in blog comments trying to get critical peer reviews. Sceptic blogs publish them but I have been moderated out of the AGW blogs. I would be glad to work with anyone willing and able to take these ideas, improve on them, and get them published. You can check some of my publications by Googleing “Fred H. Haynie”.
I also am retired, ten years now, and am a particle physicist, so not in the climate circuit. Lets hope that a bright young person takes up your offer, because I think it would be worth his/her effort.
Willis,
I know that this may be seen as nit-picking, and I may be completely out-of-court in my thinking, but what MLO is claiming is an observation of an underlying exquisitely tiny yearly increase of an equally tiny, and wildly varying proportion of a rare atmospheric gas.
But, huge consequences hang from the result, and so it is worth asking if the result could be an artefact of the MLO process itself.
And whilst there are sites other than MLO that produce similar results, I understand that there are commonalities and so they are not entirely independent. I also understand one of these commonalities is the use of the use of non-dispersive IR instrument technology, and the technique of using two reference gases.
A + 2 ppm increase over a base of, say, 379 ppm is about +0.5%. And so we would need a relatively small non-linearity of around 0.5% to see such a result, as an artefact. What I mean is a small bend in the output curve that would cause a slight over-reading in say the middle or upper half of the range.
We know that NDIR sensors are non-linear, and we are told that a quadratic correction function is employed.
But, only two reference gases are used , a low one 370 ppm and a high one at 389 ppm. So any calibration of the sensor and its associated Analog-to-Digital converter, is limited to these two reference points. This leaves plenty of room for an intervening 0.5% or so non-linearity from a nominal quadratic function, whilst fitting the two end-points exactly.
And as far as I can see, it will be extremely difficult to even detect such a small non-linearity, without having many many more levels of reference gas available.
It is for that reason I propose a plausible conjecture that the Keeling Curve is an artefact.
MLO only goes back to 1958, and the other comparable series are shorter yet. Beck shows a big rise in CO2 between 1930 and 1950 (http://www.biomind.de/realCO2/), but MLO tells us nothing about this period. The Law Dome cores suggest flat CO2, but then they’ve been naturally smoothed by the firn factor (and then artifically smoothed on top of that).