Guest post by Ira Glickstein PhD.
We had joy, we had fun, we had Seasons of the Sun.
But the mountains we climbed were but whimsies of our minds.
That song (apologies to Terry Jacks) could well be the theme for the official climate Team as they hike to the airy peak of Mt. Hansen on the supposed 0.8ºC warming since 1880, only to look out at the bleak prospect, for them, of level ground, and the possibility of some cooling over the coming decades.
This is the third of my Tale of the Global Warming Tiger series where I allocate the supposed 0.8ºC warming since 1880 to: (1) Data Bias, (2) Natural Cycles, the subject of this posting, and (3) AGW, which will be the subject of a subsequent posting. Click Tiger’s Tale and Tail :^) to see my allocation and read the original story.
NATURAL PROCESSES AND CYCLES
This posting is about how natural processes and cycles have dominated the global warming experienced since 1880. The base chart for the above graphic is the NASA GISS Global Land-Ocean Temperature Index that indicates the official climate Team estimate of about 0.8ºC net warming, the majority of which they allocate to human activities. In contrast, according to my annotations, the actual net warming is closer to 0.5ºC (0.8ºC – 0.3ºC Data Bias), and most of that, 0.4ºC, is due to natural cycles and processes over which humans have no control or effect.
The violet curve in the graphic is my estimate of the effect of natural cycles from 1880 to the present. There are many natural processes that affect the surface temperature of the Earth, but nearly all of them gain their energy from the Sun which is why I call them Normal Seasons of the Sun. In the following three sections, they are divided into three groups, according to their time scales and effects.
GRADUAL PROCESSES AND CYCLES LESS IMPORTANT ON HUMAN TIME SCALES
Biological life is thought to have existed on Earth for about 3.5 billion years. Over that enormous time period, natural processes and cycles have affected the evolution of life. Absent those processes, we would not be here, or at least not in our current condition. However, some of these processes and cycles operate ponderously slowly, to the point they are barely noticed on the time scale of an individual human life or even on the time scale of ten lives. Therefore, they are of virtually no concern:
(a) Brightening Sun The Sun is about 4.5 billion years old, and about halfway through what is called the main sequence evolution for a star of its type. It has been getting brighter, but very slowly and nearly imperceptibly. In about 5 billion years, the Sun will become a Red Giant, and life as we know it on Earth will no longer be possible. However, the rate of brightening is so small that we may ignore it.
(b) Milankovitch Cycles. The Earth’s orbit around the Sun is affected by slow, cyclic variations in eccentricity (100,000 years), axial tilt (41,000 years), and precesssion (21,000 years). Changes in the Earth’s orbit do not affect the quantity of average yearly solar radiation, but the distribution between equatorial regions and polar regions is affected. This may be the cause of the approximately 100,000 year cycle of ice age glaciations. However, the contribution of these effects over a period as short as that from 1880 to the present is so small we may ignore it.
(c) Heat from Earth’s Core. About 0.01% of the energy responsible for heating the surface of the Earth is due to energy from the decay of radioactive materials in the Earth’s core. This source has a half life measured in billions of years. This is such a tiny fraction of the Earth’s heat budget that we may ignore it.
PROCESSES AND CYCLES OF IMPORTANCE ON HUMAN TIME SCALES
(d) Normal Seasons of the Sun. The nominal 11-year Solar Cycles, during which Sunspot counts vary from low numbers to a peak and then down again, may be as short as 9 years or as long as 14. Magnetic polarity changes for every pair of cycles, so there is an 18 to 28 year magnetic cycle. Often there are series of three or more cycles, spanning periods of 30 to 150 or more years where solar activity may be very low (below 50 spots per month) and series of similar lengths where activity may be very high (above 100 spots per month).
Low Sunspot series are historically associated with decades of unusually cold climate and vice-versa for high Sunspot series. Total Solar Irradiation (TSI) does not change much during a single Sunspot cycle, but, over a series of high (or low) cycles, it may change enough to result in an increase (or decrease) of 0.1ºC. This TSI effect of Solar Cycles accounts for about a quarter of the of 0.4ºC I have allocated for natural cycles.
(e) Henrick Svensmark’s Global Cosmic Ray (GCR) Theory. GCRs have a positive role in the formation of clouds. Low-lying daytime clouds tend to cool the surface of the Earth. Therefore, all else being equal, the more GCRs, the more clouds, and the cooler the surface of the Earth. Increased solar magnetic activity, which coincides with higher Sunspot numbers, may divert some portion of GCRs from reaching the Earth, thereby reducing cloud formation and thus lessening their cooling effects.
Via this mechanism, a series of high Sunspot cycles may indirectly cause surface temperatures to rise, and a series of low cycles may cause them to fall, which is consistent with the historical record. Svensmark’s theory, if correct, could account for some of the 0.4ºC I have allocated to natural cycles and processes.
(f) Multi-Decadal Ocean Oscillations. There are a number of ocean oscillations, with periods of from less than a decade to multiple decades, that affect sea surface temperatures and therefore have climate impacts worldwide. These include the Pacific Decadal Oscillation (PDO), the El-Niño Southern Oscillation (ENSO), North Atlantic Oscillation (NAO), and others. The ENSO, for example, has a warm phase, called El Niño, Spanish for “the boy”, and a cool phase, called La Niña, “the girl”. The El Niño that started in 1998 caused global warming of 0.1ºC to 0.4ºC for a couple years.
While the net effect of any cycle on temperature anomalies is zero, they have significant effects during their high and low durations. Given the existence of several, somewhat independent ocean oscillations, their high and low times may tend to reinforce or cancel each other out, and that may explain multi-decadal episodes of positive and negative anomalies. There may be some correlation of these cycles with solar activity, which is, of course, the main source of their energy. Thus, ocean cycles could account for some of the 0.4ºC I have allocated to natural cycles and processes.
POSITIVE AND NEGATIVE FEEDBACKS OF IMPORTANCE ON HUMAN TIME SCALES
(g) ATMOSPHERIC GASES (net positive feedback). Long-wave radiation from the Earth extends from about 4 to 25 microns, with maximum energy around 10 microns. See the absorption spectrum for “greenhouse” gases. Note that the absorption spectra for water vapor (H2O) in the range of interest extends from about 5 to 8 microns and from around 12 to 25 microns. Note also that the absorption spectra for other atmospheric gases, such as methane (CH4), carbon dioxide (CO2), nitrous oxide (NO2), and oxygen/ozone (O2/O3), partially overlap H2O such that the atmosphere absorbs (and re-emits) nearly 100% of 4 to 25 micron radiation, except for two nearly transparent windows in the 8 to 9 and 10 to 12 micron regions.
Nearly all the carbon gases in the atmosphere are from natural sources, mostly respiration and digestive gasses of living animals and the decay of dead plants and animals. (The small proportion of carbon gases due to human activity, mainly burning of previously sequestered coal, oil, and natural gas, will be discussed in a future topic here on WUWT. For the purposes of this posting, only natural carbon gases are considered.)
When an atmospheric gas absorbs longwave radiation in its spectrum, that radiative energy is re-emitted in a broader spectrum and in all directions, about half towards the Earth and the other half out towards space.
When atmospheric CO2 absorbs 4 to 5 micron radiation from the Earth, or CH4 absorbs 7 to 8 micron radiation, and that energy is re-emitted, some will fall into the nearly transparent windows and head out to space nearly unimpeded. About half of the remaining energy will be re-emitted back towards the Earth’s surface and will add to warming.
The same is true for H2O, NO2, O2, and O3. Thus, increases in any of these gases will tend to increase warming of the Earth, all else being equal. That means, should the surface of the Earth experience a temperature increase, due to natural solar effects or any other cause, and if that increases emission of carbon gases from equatorial and summer temperate oceans, and reduces absorption of carbon gases by the polar and the winter temperate oceans, that will consititute a positive feedback. The inverse is also true. Should surface temperatures decrease, and if this reduces the amount of CO2, CH4, or H2O gases in the atmosphere, that will reduce the “greenhouse” effect, and tend to further cool the surface. Thus carbon gases and water vapor represent a positive feedback to surface warming.
(h) CLOUDS (net negative feedback). Short-wave radiation from the Sun extends from about 0.2 microns (ultraviolet light) to 2 microns (near infrared light), with maximum energy around 0.5 microns (green light in the visible spectrum). Moderate warming of the surface has a net effect of increasing the extent of cloud cover. Daytime clouds reflect much of the short-wave radiation back out to space, which is a powerful negative feedback. However, both day- and nightime clouds also absorb long-wave radiation from the Earth and re-emit about half of it back down, further warming the surface, a positive feedback. There is disagreement over whether the net effect of clouds is warming or cooling. Most of the official climate Team models assume the net effect is positive, others, including me, assume it nets out as negative.
(i) SURFACE ICE (net positive feedback). Ice, having a high albedo (reflective quality of white or light-colored surfaces), reflects much of the short-wave radiation from the Sun back out to space, which has a cooling effect. Warming of the Earth’s surface may thin and ultimately melt the ice and expose the underlying sea water or land. Water and land are less reflective. Thus, warming that causes melting has a net positive feedback.
(j) THUNDERSTORMS, HURRICANES, ETC. (net negative feedback). These tend to mix the atmosphere and, since the surface is generally warmer than the lower air masses, storms and other disturbances of the atmosphere tend to be a cooling influence. Thunderstorms, in particular, tend to lift warmer air from the surface to higher elevations where the heat energy may more readily radiate out to space.
Thus, if warming of the surface causes more water vapor in the atmosphere, and if this causes more thunderstorms and hurricanes, or makes them more intense, they have a negative feedback effect.
(k) PRECIPITATION (net negative feedback). Water vapor in the atmosphere cools by radiation of its heat energy in all directions, including out to space. The vapor condenses, forming liquid (rain) and solid (snow) water precipitates. Since the radiating tends to take place high in the atmosphere, where the heat energy may more readily radiate out to space, this precipitation constitutes a net cooling effect. Rain and snow tend to be cooler than the surface, and that is also a net cooling effect. Thus, if warming of the surface causes more water vapor in the atmosphere, and if this causes more precipitation, that is a negative feedback effect.
(l) VOLCANIC ERUPTIONS. These spew hot gases, liquids, and solids from the bowels of the Earth onto the surface and into the atmosphere. In the short-term, this tends to heat the surface. However, the aerosols from the volcano, basically sulphur and other mineral compounds, are driven high into the air and tend to remain for years, which tends to reflect Sunlight back into space, which, in the longer-term, tends to cool the surface. The net effect is cooling. For example, the eruption at Mt. Pinatubo in 1991 cooled global temperatures 0.1ºC to 0.3ºC for a few years thereafter.
CONCLUSIONS AND REQUESTS
I believe I have hit on and briefly described all the major natural processes and cycles that affect average global temperatures. However, if readers have additional information or corrections to what I said about any of them, or if there are some I missed, I would appreciate detailed comments to improve my summary.
It seems to me that my estimate of 0.4ºC for Normal Seasons of the Sun is fully justified, but I am open to hearing the opinions of WUWT readers who may think I have over- (or under-) estimated this component of the supposed 0.8ºC rise in global temperatures since 1880.
In my first and second postings in this Tale of the Global Warming Tiger series, I asked for comments on my allocations: to: (1) Data Bias 0.3ºC, (2) Natural Cycles 0.4ºC, and (3) AGW 0.1ºC.
Quite a few readers were kind enough to comment, either expressing general agreement or offering their own estimates.
Some commenters claim that the actual Data Bias is larger than my estimate of 0.3ºC. Some think Data Bias may be responsible for the entire amount of the supposed 0.8ºC rise in global temperatures since 1880, meaning that net warming over that period is ZERO. I accept that Data Bias may be 50% more (or less) than my estimate, which would put it between 0.15ºC and 0.45ºC, but I doubt it could be as large as 0.8ºC.
Others commenters claim that AGW is ZERO. In other words, they believe that rising CO2 and land use changes due to human activities have no effect on temperatures or climate. They believe the lack of effect is due to the negative feedback from cloud albedo and other natural negative feedback processes. I agree clouds have a net negative feedback (most official models assume a net positive feedback) but I do not believe this cancels out all the effects of CO2 on the Earth’s surface absorption of Solar radiation nor of albedo changes due to land use. I accept that AGW may be 50% less (or more) than my estimate, which would put it between 0.05ºC and 0.2ºC, but I doubt it could be as large as 0.8ºC.
What do you think? I have been keeping a spreadsheet record of WUWT reader’s opinions, which I appreciate and value greatly, along with their screen names, and I plan to report the results later in this series.
This is what you may look forward to:
Some People Claim There’s a Human to Blame – Yes, human actions, mainly burning of fossil fuels and changes in land use, are responsible for some small amount of Global Warming.
Is the Global Warming Tiger a Pussy Cat? – If, as many of us expect, natural processes lead to stabilization of global temperatures over the coming decades, and perhaps a bit of cooling, we will realize the whole Global Warming uproar was like the boy who saw a pussy cat and cried tiger.
Discover more from Watts Up With That?
Subscribe to get the latest posts sent to your email.

Steve Reynolds says:
January 23, 2011 at 2:44 pm
You asked for comments on allocations to (my guesses):
(1) Data Bias 0.15+-0.1ºC,
(2) Natural Cycles 0.25+-0.2ºC, and
(3) AGW 0.4+-0.3ºC.
_____
Seems quite plausible.
Dave Andrews says:
January 23, 2011 at 1:02 pm
R Gates
“for the real-world nonlinear, dynamical, and edge-of-chaos nature of the earth’s climate, where small nudges in one area can have repercussions that are deterministic but quite unpredictable throughout the whole system.”
For a minute there I thought you were describing the problems with GCMs 🙂
______
Seems like a reasonable assumption. GCM’s (including ensemble) will never be good at getting the details right, but they seem to be getting better at telling us about trends, though no amount of computer power can predict tipping points, and we certainly know from the paleoclimate record that there are indeed tipping points.
Ira Glickstein, PhD says:
January 23, 2011 at 12:36 pm
Thanks for that. Nearly fell off my chair. 😉
DaveE.
Heck. Meant to bold al dente in my prior post. Perhaps a kind mod may be so kind. 😀
DaveE.
[ Like that? -ModE ]
Dave Andrews says:
January 23, 2011 at 1:02 pm
R Gates
“for the real-world nonlinear, dynamical, and edge-of-chaos nature of the earth’s climate, where small nudges in one area can have repercussions that are deterministic but quite unpredictable throughout the whole system.”
For a minute there I thought you were describing the problems with GCMs 🙂
______
Seems like a reasonable assumption. The GCM’s (including ensemble) are not good at looking at a dynamical system on the edge of chaos such as the climate system is. They might be able to describe trends, but not tipping points (as no amount of computer power can spot them), and once those tipping points are past, the new regime created needs to be put back into a new model and a new series of scenarios issued. Every GCM struggles with the fact that they are trying to model a dynamical chaotic system, and even have been developing strategies just for dealing with that, but ultimately, GCM’s will be constantly readjusting scenarios after tipping points are passed and new dynamics are evident, giving out new trends, but never specific timing of events.
DaveE,
Isn’t it interesting when someone expresses a rational thought, that it appears astonishing? The Big Lie of CAGW has been so pervasive that the truth comes as a surprise.
Warmer is better; cold kills.
During the Holocene it has been 2° – 3° warmer, and during those warmer times civilization and the biosphere flourished.
And CO2 levels have been up to 8,000 ppmv [compared with the current extremely low 390 ppmv]. Very high CO2 levels have occurred as the planet plunged into a deep Ice Age – debunking the notion that CO2 can lead to runaway global warming.
The entire CO2=CAGW canard is based on deliberately false misinformation disseminated by the IPCC and its crony organizations. Credulous people then buy into the globaloney, and the result is people like R Gates trying to scare people.
Please wake me when anyone can show verifiable global harm as a result of the increase in a harmless and benficial trace gas.☺
Ira – I have to add a few words about natural cycles etc. First of all I am a skeptic about cycles like the PDO or NAO whose definitions are still too nebulous to be useful. NOAA has a list of forty one of these, most of which I had never heard of. The only real cycle that can be observed in all temperature curves is the ENSO cycle of alternating warm El Ninos and cool La Ninas. This has been going on ever since the Isthmus of Panama rose from the sea. It involves the Pacific equatorial currents, the trade winds, and the equatorial countercurrent but its influence is global. Specifically, an El Nino will raise global temperature by half a degree and the La Nina that follows it will lower it by the same amount. This temperature swing is very precise as satellite temperatures preceding the 1998 super El Nino show. The super El Nino itself does not belong to ENSO, is much bigger than others, brought a huge amount of warm water across the ocean to South America, and raised global temperature by a full degree. This warm water lingered and suppressed the a La Nina that should have appeared in 2004. In the wake of the super El Nino there was a a short spurt of warming from 1998 to 2002 that raised global temperature by a third of a degree and then stopped. A third of a degree is fully half of what has been attributed to the entire twentieth century and is the reason for the unusual warmth of the first decade of this century. That step warming is the only actual warming within the last thirty one years. To calculate averages you have to exclude the periodic ENSO swings but not by editing the global temperature curve as so-called “climate” scientists have been doing. The proper way to average a sequence of ENSO oscillations is to put a dot in the center of every line connecting an El Nino peak to its neighboring La Nina valley and connect the dots with a smooth curve. This cannot be done with the super El Nino of 1998 which must not be included in any temperature curve. The center points of ENSO cycles that precede it line up in a straight horizontal line. After the step warming another straight horizontal line begins – the twenty-first century high. The two straight lines do not meet and must not be forced together by any averaging procedure. The twenty-first century high itself ended with the 2008 La Nina cooling which signified resumption of the ENSO oscillations interrupted by the super El Nino of 1998. It was followed by the El Nino of 2010 and the next La Nina is already well under way. Expect these oscillations to continue and do not expect a climate catastrophe promised by the IPCC modelers.
Smokey said:
“Credulous people then buy into the globaloney, and the result is people like R Gates trying to scare people.”
____
Please provide any evidence that shows I was trying to “scare” anybody. There are a lot more scary things in the world than AGW, and if I was of the mind to scare people I’d choose something else, thank you kindly.
OK. For someone who is 75% alarmist and 25% skeptic, you’re only trying to scare 75% of the folks.
That makes at least as much sense as the 25/75 claim☺
Not sure if it has been mentioned yet, but loss of sea ice in particular could be a negative feedback as the sea will not be insulated and will thus lose far more heat to be radiated out to space. This is particularly true when there is little or no sun such as the poles in autumn (before ice reforms). On land it may have a similar effect, but possibly not as much, since permanently covered land tends to be much cooler than similarly covered sea (there being no movement).
In any case, as much of the sea ice is only there when there is no sun, the effect cannot be great.
Smokey says:
January 23, 2011 at 4:24 pm
OK. For someone who is 75% alarmist and 25% skeptic, you’re only trying to scare 75% of the folks.
____
Correction…I’m 75% “warmist” and 25% skeptic. It is possible to believe that AGW is likely happening without being “alarmed” by it. And though I am not trying to scare anybody, if I was, it wouldn’t be the “warmists” but rather, I’d be trying to scare the skeptics, but of course, only 75% scare them, which means I’d be trying to scare the 25% of myself that is skeptic, and so I’d be trying to make myself .75 x .25 scared, which would mean I’d be trying to make myself 18.25% scared by AGW…hardly worth posting about I would think and so much easier just to rent a good Netflix horror film…
Thanks Wayne, it takes a big man to admit an error. (For example, back in 1952 I thought I made an error, but it turned out I had been right all along :^). Good to have you here on WUWT. Ira
Actually, Terry Jacks owes an apology to Jacques Brel and Rod McKuen for having taken their quiet, sensitive song and turned it into a skittery, hop-pop travesty.
Anyhow, carry on.
R. Gates says: January 23, 2011 at 3:46 pm
“The GCM’s (including ensemble) are not good at looking at a dynamical system on the edge of chaos such as the climate system is. They might be able to describe trends, but not tipping points (as no amount of computer power can spot them), and once those tipping points are past, the new regime created needs to be put back into a new model and a new series of scenarios issued. Every GCM struggles with the fact that they are trying to model a dynamical chaotic system, and even have been developing strategies just for dealing with that, but ultimately, GCM’s will be constantly readjusting scenarios after tipping points are passed and new dynamics are evident, giving out new trends, but never specific timing of events.”
Per my comment on the MET thread;
http://wattsupwiththat.com/2011/01/21/what-sort-of-forecast-does-the-met-office-supercomputer-make/#comment-580953
I don’t understand your assertion that flawed GCMs generate accurate long term trends. Can you provide any relevant research to support this assertion?
Roger, please have a look at what NASA GISS (1999) says about NASA GISS (2007):


Look at internal NASA GISS email (the background in my graphic) where SEVEN re-analyses are recounted, resulting in a 0.5C adjustment to published data, a decade to six decades old.
Roger, now please have a look at what NASA GISS (1999) says about NASA GISS (2011):
The diagram below is the US Annual mean from 1880 t0 2010 as plotted and published by NASA GISS in 1999 and then in 2011. Notice the delta of more than 0.3C? Is it not obvious someone was cooking the books to make the old data cooler and the more recent warmer, to support CAGW fears?
I look forward to your explanation. Note that this is US-only data, where NASA GISS has the best knowledge of the sources.
NASA GISS, NOAA, HADCRUT and others share the same data sets and their analyses share the same bias towards the Warmist side.
Steve: Noted and entered into my spreadsheet, but I am not tracking individual error bounds, so your data went in as 0.15, 0.25, and 0.4. THANKS!
R. Gates says:
January 23, 2011 at 4:13 pm
====
You are on the wrong thread, for these comments.
Give the author his due.
R,, the way you sometimes talk I always thought you were at least 18.25% scared by AGW. Gee, with such progress you might be A free soon. Has it been a year already? ;o)
R. Gates says:
January 23, 2011 at 4:13 pm
I note you jumped on Smokey but totally ignored what he was commenting on: ie my experience in Gander, February 1983, where I walked in sub zero, certainly °C & probably °F, in shirt sleeves, finding it cold but not uncomfortably so. This indicates the energy the air could absorb was insignificant. If such air were to warm 5°C it would significantly affect the temperature anomaly but not the energy anomaly!
DaveE.
Ira Glickstein, PhD
The answer appears to be on this NASA GISS page from 2007:
So no cooking the books, no fraud, no conspiracy, just an honest mistake that’s been spotted and corrected and, as you can see, with an utterly insignificant effect on the global temperature record since this error only related to the US data.
Oh. Thanks ModE 😀
DaveE.
Ira Glickstein, PhD
The answer may be on this NASA GISS page from 2007:
So no cooking the books, no fraud, no conspiracy, just an honest mistake that’s been spotted and corrected and, as you can see, with an utterly insignificant effect on the global temperature record since this error only related to the US data.
[Note: “Arthur Pooty” is Roger Otip. ~dbs, mod.]
I read through the article, and my reaction is “Where is the beef?”. The descriptions of the various phenomena which impact surface temperature are should not be news to anyone who follows the controversy regarding global warming.
The question,that was supposed to be addressed is, how much of the temperature change in the last century or so is related to the anthropogenic influences? I don’t see any credible quantitative analysis of this question. I only see the author’s opinion expressed as “my estimate”. There is no reference to the scientific literature, and no discussion of the author’s methodology in making his estimates. This illustrates the difference between a true scientific publication and a blog post on the internet.
Actually. I’ve fallen into the trap of using the word anomaly. It’s NOT an anomaly, it’s a change! A change is only anomalous if it’s never happened before and there’s plenty of evidence that it has!
DaveE.
[Reply: An anomaly is a variation from the average. ~dbs, mod.]
Roger Otip to Ira Gliclkstein at 2:29 pm: “Look at the global temperature records, not just those of NASA GISS, but also the NOAA and HadCRUT along with the satellite records and you’ll see a pretty consistent warming trend and a pretty consistent degree of warming.”
***
Well, I did look and this is what I found: both NOAA and HadCRUT3 show a warming trend in the eighties and nineties which according to the satellites does not exist. And it is an important base period for global warming because in 1988, right smack in the middle of it, James Hansen testified that global warming had started and that we were to blame because of the carbon dioxide we were releasing into the air. Both claims were false. I checked to see what IPCC had to say about it and their 1990 report indeed has a global temperature chart for policymakers. It shows that there was no warming from the fifties to the seventies and that in the late seventies warming suddenly started. Assuming that the same chart was available to Hansen in 1988 this leaves only a ten year period he could call warming when he testified about it. But if you check his written report to the Senate you find that he is talking about a twenty five year period of warming, not ten as IPCC has it. How is this possible? It turns out that he came to the Senate presentation with his own private temperature chart that he and Lebedeff had published just before the meeting. If this isn’t a Deus ex machina manufactured just for the meeting I don’t know what is. The temperature curve shown in the 1990 IPCC report is the ancestor of the curve that NOAA still uses today. I am discounting the existence of this warming entirely but suppose you allow it to the extent that the 1990 IPCC report shows. What you have then is a warming that starts suddenly after a thirty year absence of warming. It was well known then that carbon dioxide had been slowly and linearly increasing since 1958 when Keeling started measuring it. The absorptivity of carbon dioxide in the infrared is a physical property of the gas and cannot be changed. If you now want to increase its absorption of radiation for the purpose of starting a warming the only way you can do it is by increasing its concentration in the air at the same time and this did not happen. Laws of physics simply do not allow such a sudden warming to begin in the late seventies if we go by the temperature curve that IPCC uses. Furthermore, as soon as Hansen announced that the warming was anthropogenic he was criticized in the peer-reviewed literature [Andrew R. Solow and James M. Broadus, “On the Detection of Greenhouse Warming” Climate Change 15:449-453 (1989)] about it. But all such criticisms were simply pushed aside by the political establishment that was already then pushing the global warming agenda. The establishment included senator Wirth of Colorado, chairman of the committee that called Hansen to testify. He chose June 23rd as the date of the hearing because the Weather Bureau had told him that this was the warmest day of the year in Wahington, D.C.. And to make sure that the air conditioning did not work he sent his staff out the night before to open all the windows in the hearing room. I am not making this up because he said all that in a Frontline interview on January 17th, 2007. It worked: the TV crews, the audience and the star witness all sweated profusely and global warming was on every TV screen that night. To Senator Wirth it was “bliss” to see TV cameras in double digits in his hearing room. And that is the foundation upon which the present global warming movement rests. But there is one more thing, and that is the origin of the warming in NOAA and Met Office curves. Satellites show nothing but a temperature oscillation, up and down by half a degree until the super El Nino of 1998 arrives. There were five such temperature peaks in the eighties and nineties that belonged to El Ninos of the ENSO system, and the valleys between them were cool La Nina periods. Put HadCRUT3 on the same graph with the satellite curve and you will see what is going on. They have retained the first El Nino peaks all right but the La Nina valleys in between the peaks have been made shallow and that gives entire curve an upward slope they call warming. This does not work too well on the right side of the curve so the entire fourteen year segment gets lifted up and floats above the satellite curve. NOAA is worse. While HadCRUT3 at least retained the token La Nina valleys NOAA jettisons them completely and also raises the right side of the curve. The only part of NOAA’s curve that bears any resemblance to reality is where the peaks of the first four El Ninos coincide with their curve. And what do you get when these fake curves are extrapolated by supercomputers to make climate predictions? In computer lingo it is called GIGO – Garbage In, Garbage Out.