Guest Essay by Dr. Norman Page
1.The Demise of the IPCC and the CAGW Delusion.
a) Overview.
In the AR5 Summary for Policymakers the IPCC glossed over the developing cooling trend in global temperatures and so lost the last vestige of its scientific credibility and any claim to be a source of useful guidance on future climate trends for policymakers. The IPCC’s remit was never to study climate objectively but to support the proposition that anthropogenic CO2 was the main climate driver and that increasing emissions would produce warming with catastrophic consequences by the end of the 21st century. To their eternal discredit too many of the Western scientific establishment abandoned common sense and scientific standards of objectivity and prudence in order to accommodate their paymasters.
The entire vast UN and Government sponsored AGW behemoth with its endless labyrinthine conferences and gigantic schemes for UN global control over the World and National economies is a prime example of the disasters Eisenhower warned against in 1961 he said :
“In the same fashion, the free university, historically the fountainhead of free ideas and scientific discovery, has experienced a revolution in the conduct of research. Partly because of the huge costs involved, a government contract becomes virtually a substitute for intellectual curiosity. For every old blackboard there are now hundreds of new electronic computers. The prospect of domination of the nation’s scholars by Federal employment, project allocations, and the power of money is ever present and is gravely to be regarded. Yet, in holding scientific research and discovery in respect, as we should, we must also be alert to the equal and opposite danger that public policy could itself become the captive of a scientific technological elite. “
Politicians were willing to forgo the trouble of thinking for themselves and forming their own commonsense views on climate so long as their paid scientists gave them scary forecasts to use to regulate economic activity [via carbon taxes EPA mandates, etc]. This symbiotic relationship enabled politicians to reward themselves, their political friends and corporate sponsors while at the same time feeling righteous about “saving the world”.
Thus, with the enthusiastic assistance of the anti-capitalist movement and a supine or agenda driven MSM, the CAGW delusion took over much of the Western world as a quasi religion which will not easily fade away even though, as the AR5 science section shows, it has no connection to reality.
b) What’s wrong with the science?
The CAGW meme is built on the outputs of climate models. Many of the modelers and IPCC and Met Office scientific chiefs had a background in weather forecasting In spite of the inability of the weather models to forecast more than about 10 days ahead, in an act of almost unbelievable hubris and stupidity, the modelers allowed themselves to believe, or at least proclaim, that they knew enough about the physical processes and climate driving factors involved to forecast global temperatures for decades and centuries ahead.Indeed, many establishment scientists appear to think that humanity can dial up a desired global temperature by keeping CO2 within some appropriate limit. What arrant nonsense!
In practice the modelers have known for some time that their models have no skill in forecasting and have indeed said so in the WG1 reports. The IPCC AR4 WG1 science section actually acknowledges this fact. Section IPCC AR4 WG1 8.6 deals with forcings, feedbacks and climate sensitivity. The conclusions are in section 8.6.4 which deals with the reliability of the projections. It concludes:
“Moreover it is not yet clear which tests are critical for constraining the future projections, consequently a set of model metrics that might be used to narrow the range of plausible climate change feedbacks and climate sensitivity has yet to be developed”
What could be clearer. The IPCC in 2007 said itself that we don’t even know what metrics to put into the models to test their reliability.- i.e. we don’t know what future temperatures will be and we can’t calculate the climate sensitivity to CO2.This also begs a further question of what erroneous assumptions (e.g. that CO2 is the main climate driver) went into the “plausible” models to be tested anyway. This means that the successive SPM uncertainty estimates take no account of the structural uncertainties in the models and that almost the entire the range of model outputs may well lay outside the range of the real world future climate variability. By the time of the AR5 report this is obviously the case. Here are two examples
Fig1, (IPCC Fig 1.4 2nd Draft)
Fig 2
The key factor in making CO2 emission control policy is the climate sensitivity to CO2 . By AR5 – WG1 the IPCC is saying: (Section 9.7.3.3)
“The assessed literature suggests that the range of climate sensitivities and transient responses covered by CMIP3/5 cannot be narrowed significantly by constraining the models with observations of the mean climate and variability, consistent with the difficulty of constraining the cloud feedbacks from observations “
In plain English this means that they have no idea what the climate sensitivity is and that therefore that the politicians have no empirical scientific basis for their economically destructive climate and energy policies.
In summary the projections of the IPCC – Met office models and all the impact studies which derive from them are based on specifically structurally flawed and inherently useless models. They deserve no place in any serious discussion of future climate trends and represent an enormous waste of time and money. As a basis for public policy their forecasts are grossly in error and therefore worse than useless.
2. A Simple Rational Approach to Climate Forecasting based on Common Sense and Quasi Repetitive- Quasi Cyclic Patterns.How then can we predict the future of a constantly changing climate? A new forecasting paradigm is required .
It is important to note that it in order to make transparent and likely skillful forecasts it is not necessary to understand or quantify the interactions of the large number of interacting and quasi independent physical processes and variables which produce the state of the climate system as a whole as represented by the temperature metric.
When, about ten years ago ,I began to look into the CAGW – CO2 based scare, some simple observations immediately presented themselves.
a) Night is colder than day.
b) Winter is colder than summer.
c) It is cooler in the shade and under clouds than in the sun
d) Temperatures vary more widely in deserts and hot humid days are more uncomfortable than dry hot days – humidity (enthalpy) might be an important factor. We use Sun Screen against UV rays – can this be a clue?
e) Being a Geologist I knew that the various Milankovitch cycles were seen repeatedly in the Geologic record and were the main climate drivers controlling the Quaternary Ice Ages.
f) I also considered whether the current climate was unusually hot or cold. Some modest knowledge of history brought to mind frost fairs on the Thames and the Little Ice Age and the Maunder Minimum without sunspots during the 17th century . The 300 years of Viking settlements in Greenland during the Medieval Warm Period and viniculture in Britain suggested a warmer world in earlier times than at present while the colder Dark Ages separate the MWP from the Roman Climate optimum.
g) I noted that CO2 was about 0.0375% of the Atmosphere and thought ,correctly as it turns out, that it was highly unlikely that such a little tail should wag such a big dog.
I concluded ,as might any person of reasonable common sense and average intelligence given these simple observations that solar activity and our orbital relations to the sun were the main climate drivers. More specific temperature drivers were the number of hours of sunshine, the amount of cloud cover, the humidity and the height of the sun in the sky at midday and at Midsummer . It seemed that the present day was likely not much or very little outside the range of climate variability for the last 2000 years and that no government action or policy was required or would be useful with regard to postulated anthropogenic CO2 driven climate change.These conclusions based on about 15 minutes of anyone’s considered thought are, at once , much nearer the truth and certainly would be much more useful as a Guide to Policymakers than the output of the millions of man hours of time and effort that have been spent on IPCC – Met Office models and the Global Warming impact studies and the emission control policies based on them. However it is necessary ,of course, to go beyond this level of understanding.
Over the last 25 years an immense amount of valuable instrumental and proxy temperature and possible climate driver data has been acquired and it turns out that climate forecasting on the basis of recognizing quasi cyclic – quasi-repetitive patterns in that data is fairly simple and straight forward. Interested parties should take the time necessary to become familiar with the general trends in both the instrumental and proxy time series of temperature, forcings and feedbacks.
Central to any forecast of future cooling is some knowledge of the most important reconstructions of past temperatures after all the infamous hockey stick was instrumental in selling the CAGW meme.
Here are links to some of the most relevant papers-starting with the hockey stick.
http://stephenschneider.stanford.edu/Publications/PDF_Papers/MannBradleyHughes1998.pdf
http://www.ncdc.noaa.gov/paleo/pubs/mann_99.html
note Espers comments on the above at
http://eas8001.eas.gatech.edu/papers/Esper_et_al_Science02.pdf
and see how Mann’s hockey stick has changed in later publications
http://www.pnas.org/content/105/36/13252.full
http://www.meteo.psu.edu/holocene/public_html/shared/articles/MannetalScience09.pdf
an important paper by Berggren et al relating solar activity to climate is
http://www.eawag.ch/forschung/surf/publikationen/2009/2009_berggren.pdf
and another showing clearly the correlation of the various climate minima over the last 1000 years to cosmic ray intensities -( note especially Fig 8 C ,D below ) is: Steinhilber et al – 9400 years of cosmic radiation and solar activity from ice cores and tree rings:
http://www.pnas.org/content/early/2012/03/30/1118965109.full.pdf
for Holocene climate variability in general there is much valuable data in Mayewski et al :
http://yly-mac.gps.caltech.edu/AGU/AGU_2008/Zz_Others/Li_agu08/Mayewski2004.pdf
Of particular interest with regard to the cause of the late 20th century temperature increase is Wang et al:
http://www.atmos-chem-phys.net/12/9581/2012/acp-12-9581-2012.pdf
A review of candidate proxy data reconstructions and the historical record of climate during the last 2000 years suggests that at this time the most useful reconstruction for identifying temperature trends in the latest important millennial cycle is that of Christiansen and Ljungqvist 2012 (Fig 5)
http://www.clim-past.net/8/765/2012/cp-8-765-2012.pdf
s
The shape of the curve of Fig 3(Fig 5 Christiansen) from 1000 – the present should replace the Mann-IPCC hockey stick in the public consciousness as the icon for climate change and a guide to the future i.e. the temperature trends from 1000- 2000 will essentially repeat from 2000- 3000.
The recurring millennial cycle is also seen in the ice core data.
The simplest working hypothesis for forecasting future climate is that the change in the temperature trend from warming to cooling in 2003 (Figs 6 and 7) marked both the change in the PDO phase and the peak in the 1000 year cycle.
Fig.6
http://www.cru.uea.ac.uk/cru/data/temperature/HadSST3.pdf
Fig.7
Furthermore Fig 8 shows that the cosmic ray intensity time series derived from the 10Be data is the most useful proxy relating solar activity to temperature and climate. – see Fig 3 CD from Steinhilber
http://www.pnas.org/content/early/2012/03/30/1118965109.full.pdf
NOTE !! the connection between solar “activity” and climate is poorly understood and highly controversial. Solar ” activity” encompasses changes in solar magnetic field strength, IMF, CRF, TSI ,EUV,solar wind density and velocity, CMEs, proton events etc. The idea of using the neutron count as a useful proxy for changing solar activity and temperature forecasting is agnostic as to the physical mechanisms involved.
Fig.8
The trends in the neutron count over the last few solar cycles strengthens the forecast of coming cooling made from projecting the PDO and Millennial cycle temperature trends.The decline in solar activity from 1990 (Cycle 22) to the present (Cycle 24) is obvious.
Fig.9
It has been estimated that there is about a 12 year lag between the cosmic ray flux and the temperature data. see Fig3 in Usoskin et al
http://adsabs.harvard.edu/full/2005ESASP.560…19U.
With that in mind it is reasonable to correlate the cycle 22 low in the neutron count (high solar activity and SSN) with the peak in the SST trend in about 2003 and project forward the possible general temperature decline in the coming decades in step with the decline in solar activity in cycles 23 and 24.
In earlier posts on this site http://climatesense-norpag.blogspot.com at 4/02/13 and 1/22/13 I have combined the PDO, Millennial cycle, and neutron trends to estimate the timing and extent of the coming cooling in both the Northern Hemisphere and Globally.
Here are the conclusions of those posts.
1/22/13 (NH)
1) The millennial peak is sharp – perhaps 18 years +/-. We have now had 16 years since 1997 with no net warming – and so might expect a sharp drop in a year or two – 2014/16 -with a net cooling by 2035 of about 0.35.Within that time frame however there could well be some exceptional years with NH temperatures +/- 0.25 degrees colder than that.
2) The cooling gradient might be fairly steep down to the Oort minimum equivalent which would occur about 2100. (about 1100 on Fig 5) ( Fig 3 here) with a total cooling in 2100 from the present estimated at about 1.2 +/-
3) From 2100 on through the Wolf and Sporer minima equivalents with intervening highs to the Maunder Minimum equivalent which could occur from about 2600 – 2700 a further net cooling of about 0.7 degrees could occur for a total drop of 1.9 +/- degrees
4)The time frame for the significant cooling in 2014 – 16 is strengthened by recent developments already seen in solar activity. With a time lag of about 12 years between the solar driver proxy and climate we should see the effects of the sharp drop in the Ap Index which took place in 2004/5 in 2016-17.
4/02/13 ( Global)
1 Significant temperature drop at about 2016-17
2 Possible unusual cold snap 2021-22
3 Built in cooling trend until at least 2024
4 Temperature Hadsst3 moving average anomaly 2035 – 0.15
5 Temperature Hadsst3 moving average anomaly 2100 – 0.5
6 General Conclusion – by 2100 all the 20th century temperature rise will have been reversed,
7 By 2650 earth could possibly be back to the depths of the little ice age.
8 The effect of increasing CO2 emissions will be minor but beneficial – they may slightly ameliorate the forecast cooling and help maintain crop yields .
9 Warning !! There are some signs in the Livingston and Penn Solar data that a sudden drop to the Maunder Minimum Little Ice Age temperatures could be imminent – with a much more rapid and economically disruptive cooling than that forecast above which may turn out to be a best case scenario.
How confident should one be in these above predictions? The pattern method doesn’t lend itself easily to statistical measures. However statistical calculations only provide an apparent rigor for the uninitiated and in relation to the IPCC climate models are entirely misleading because they make no allowance for the structural uncertainties in the model set up.
This is where scientific judgment comes in – some people are better at pattern recognition and meaningful correlation than others. A past record of successful forecasting such as indicated above is a useful but not infallible measure. In this case I am reasonably sure – say 65/35 for about 20 years ahead. Beyond that certainty drops rapidly. I am sure, however, that it will prove closer to reality than anything put out by the IPCC, Met Office or the NASA group. In any case this is a Bayesian type forecast- in that it can easily be amended on an ongoing basis as the Temperature and Solar data accumulate. If there is not a 0.15 – 0.20. drop in Global SSTs by 2018 -20 I would need to re-evaluate.
.
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A good statistician should be able to calculate confidence limits on your multiple wave length cyclical model, starting with the 1000 year wave length. What is the probibility that 1000 is the actual value?. What is the most likely wave length of that cycle? Curve fitting with normal statistical techniques can be missleading when time is not a fixed value.
Re: The U.S. dropping any support for new coal projects worldwide;
Here’s the funny part – I work in the oil and gas business, and oil producers worldwide are laughing and slapping each on the back over this one. Why? Coal is oil’s #1 competitor! Poor countries can’t afford to put in high-cost, low output systems like windmills or other nonsense – when they need energy, and they have to substitute for coal, they will have to burn oil and gas – no other realistic substitutes. Consequently, in spite of supplies threatening to rise (the so-called “Peak Oil” theory has now collapsed in ignominy), Oil demand (ie, PRICE) is now guaranteed to rise for the forseeable future – THANK YOU, Uncle Sam!!!
One other thing – mining, especially if its near the surface, is not nearly as demanding technically as oil and gas production is, and coal reserves are much more plentiful, also. This is why coal is the #1 choice for 3rd world economies trying to develop energy resources and pull themselves out of poverty.
Nope! No economic salvation for you! You’re going to pay whatever we tell you for your energy usage now on, and NONE of that money will go back into your local economies – and the US Government is going to use its muscle to guarantee you poor countries stay dependent on us forever!!!
What a Country!!!
RobRoy says:
October 30, 2013 at 5:26 am
Dr Page, Good article/summation . Thanks. BUT:
“”9 Warning !! There are some signs in the Livingston and Penn Solar data that a sudden drop to the Maunder Minimum Little Ice Age temperatures could be imminent – with a much more rapid and economically disruptive cooling than that forecast above which may turn out to be a best case scenario.””
Doc, this is climate alarmism.
I’ve become leery of ALL doomsayers,
Color me jaded, I guess.
No, it isn’t alarmism. Alarmism preys on people’s fear and ignorance to push an idea, usually with a hidden agenda. Another LIA type of climate is certainly possible by mid-century, and we know that cooling is by far, much more dangerous to man than warming.
In any case, we already know that the best bulwark we have against a cooling, regardless of how severe, is cheap, readily-available energy. By happy coincidence, that also happens to be our best defense against poverty and a whole host of societal ills.
The toing and froing that we see about AGW shall be moot over the next decade, as old Sol and Gaia tell us which way is up. The in crowd will no doubt be some what embarrassed, however this will not prevent those higher up the food chain from inventing a new hobgoblin ,designed to make us feel guilty for being free and well off enough to not live in a bark hut.
AGW will die but the fight to rid ourselves of over riding political correctness and new hobgoblins will be an on going fight until a real enemy appears.
Nice summary. By 2650 we should have reached and passed the “Peak Oil” and “Peak Gas” production points (even for an optimist) and it should be more difficult to produce CO2 at the same levels even if we wanted to (it definitely would be more expensive based on supply/demand). Lots of dirty coal out there and shale oil so we should have supply, but I would guess it is much less than demand and that most of the fracking opportunity would have been expended. At any point, our exposure to fossil fuel CO2 generation has it’s limits, and so ideally it peaks while we’re in a cold period and declines as we’re coming out of it.
Well written common sense, Dr. Page. From what I have observed regarding the power of the CAGW mindset though, until continental glaciers like the Laurentide start returning, nothing will change the mind of the true believing CAGWer.
ferd berple says:
October 29, 2013 at 10:29 pm
Terry Oldberg says:
October 29, 2013 at 10:09 pm
the models do not forecast. Rather than forecasting, they “project.”
=========
It takes real skill for the climate models to be so consistently wrong.
When one gets the likes of Dame (it’s a Gong that goes with her job, she didn’t earn the honour on merit) Julia Slingo comes out with things such as “the calculations made for 2012 long range weather forecast were not wrong, because they were probabilistic!”, when dishing out excuses for why the drought of February/March that was supposed to go on until December, was a wash out!!!! We won’t get an apology from any of them, not even when hell freezes over!
From a google search of definitions
Predict: to say or estimate (a specified thing) will happen in the future or be a consequence of something. (synonymous with forecast)
Forecast: to predict or estimate a future event or trend
Project: estimate or forecast something based on present trends
I’m sure subtle and technical differences can be used for each of these, but the common usage of these words make them very close in meaning.
I like Dr. Page’s prediction/forecast/projection of future climate because it assumes longstanding cycles will likely not be too perturbed. Now, if I could just predict/forecast/project the stock market and lottery numbers.
Bob Greene: “Now, if I could just predict/forecast/project the stock market and lottery numbers.”
Easy Peasy. Just show a AGWhiner the graph of model vs. temp and challenge to bet on what the next year will look like. Sucker them with favorable odds on payout.
@ur momisugly fhhaynie nigelharris the 1000 year cycle is not arrived at by curve fitting but simply from inspection of the data itself see Figs 3 and 4. I would not expect any natural cycle to repeat exactly in amplitude or period because other things in the climate system are never equal. In natural systems in reality everything only happens once .Patterns and resonances between variables come and go as best illustrated in wave analyses of data sets. Some patterns are very stable eg Milankovitch cycles have been around in more or less their present form for hundreds of millions of years – but their effect on climate would vary substantially as the position of the continents changed with time. Obviously events closer in time and particularly the last 2 to 3000 years are more meaningful in predicting the future , The chief uncertainty in this forecast is just where are we relative to the 1000 year peak. Fig 7 is compatible with the working hypothesis that we may be just past the peak ,as is the state of the sun. We’ll see.If cooling accelerates by 2018 – 20 I would say we are definitely on the downslope.
Dr. Page,
You have eye-balled a curve fit of a primary 1000 year cycle and have observed several shorter repeating cycles and are making predictions based on those observations. You are eye-ball estimating confidence limits on the 1000 years at about plus or minus nine years. These very well may be good values. I am suggesting that you use statistical curve fitting techniques that will let you be able to calculate confidence limits on your predictions. Consult a good statistician on how to do it. The IPPC certainly has not in making their “projections”.
M Simon, October 30 2013 at 4:11 am:
Indeed, while my example was focused on the troposphere (with the 5% figure from page 1 of http://www.phys.huji.ac.il/~shaviv/articles/sensitivity.pdf although that link wasn’t given in my prior comment), what you mention would be an illustration of another consequence of solar variation, on a higher layer of the atmosphere.
Gregg Eshelman says:
October 30, 2013 at 2:22 am
You’re mistaken about Venus being in the habitable zone
http://www.phys.lsu.edu/faculty/cjohnson/climate.html
“Early in its history Venus may have had water, but it is too close to the Sun to retain it. When water molecules rise high in an atmosphere, ultraviolet radiation split the water molecules into its component gases, oxygen and hydrogen, and the lighter hydrogen molecules escape into space.”
So venus may have been potentially habitable when the sun was only about 70% as luminous as it is now, but the runaway greenhouse effect quickly took hold. You’re right about Mars- if it was as massive as earth, its core wouldn’t have cooled off yet, and our system could potentially have had TWO planets with life.
Our sun started out about 70% as luminous as it is now, and is continually warming up. In about 1 billion years or so, Earth will also have a runaway greenhouse, our oceans will gradually evaporate, we’ll lose our Hydrogen, and wind up as the twin sister of Venus.
“The entire vast UN and Government sponsored AGW behemoth…”
Well, “half-vast”, to say the least. 🙂
Regarding “projection” and “prediction”: whatever they actually mean, the bottom line is the “policy makers” reading the IPCC SPM’s seem to read them as “forecasts” upon which we must act.
Nigel Harris:
Thankyou for your reply to me at October 30, 2013 at 6:16 am.
Your reply to my request for clarification provides one direct answer and then raises a new issue.
Your direct answer says to me
Actually, no.
Your statement would be true if it were to say “There have been several other 10-year periods with negative slopes that have occurred within periods when the overall LINEAR trend is clearly rising.”
However, the trend is not linear. As Akasofu says, the trend consists of a linear component and an oscillating component; see
http://wattsupwiththat.com/2013/09/09/syun-akasofus-work-provokes-journal-resignation/
I would agree with you were you to say there is doubt about a recent change because the recent linear trend still fits the non-linear trend of Akasofu. But that is not your claim: you are saying it fits the long-term linear trend which it does not.
The present lack of discernible linear trend which differs from zero at 95% confidence is at least 17 years according to all data sets (it is 22 years according to RSS). Lack of a discernible linear trend for such a long period is unprecedented in the record. Indeed, your talk of “other 10-year periods” emphasises this difference.
You then say
Firstly, it is you who has taken the above Figure 7 out of context. The above essay says
Figure 6 shows the HadSST3 data since 1840 and provides a link to it then immediately follows that with Figure 7 which shows the recent part of it.
And Figure 7 does NOT “omit any data since the start of 2013”, but if it did then that would not make a significant difference.
Of course, as you say, it is possible to make different interpretations of the data: that is true of any data. (Indeed, I cavil at Norman Page’s assertion that we have probably reached “the peak in the 1000 year cycle”: although he only presents that as part of the “simplest working hypothesis” I would not care to bet on it being true.) However, the alternative which you suggest makes no sense.
Richard
What’s the difference between forecasting and projecting?
Dodgy Geezer says:
October 30, 2013 at 2:35 am
@terry Oldberg
…The author asserts that the models have no skill in forecasting. Actually, the models do not forecast. Rather than forecasting, they “project.”…
Can anyone tell me the difference between ‘projection’, ‘prediction’ and ‘forecast’?
_______________________
The only significant difference is spelling.
– – – – – – – – –
Jim Cripwell & Norman Page,
First, thank you, Norman Page, for teeing up this important topic and sustaining the dialog on what the science faults are that need scientific self-correction.
Jim Cripwell, I tend to think somewhat parallel to you. I think the IPCC will thrive or decay only at the hands of: scientific academies; scientific institutions, scientific laboratories, scientific societies, scientific foundations, etc.
What will cause any of those kinds of scientific organizations to stand up to correct the erroneous science supported by the IPCC? I suggest it requires a cultural inducement.
How would cultural changes occur in any of those scientific organizations? I think it can only be by individual scientists stepping up to lead the dialog in the scientific organizations on the fundamental cause of the IPCC’s scientific errors.
Consider, by efforts of such individuals, that it would take just one major scientific organization to initiate its own (unilateral) audit of the IPCC’s AR5 modeling assessment processes and of its non-rigorous / irrational dependence on CO2 driven models.
Blogs like WUWT do significantly contribute to enabling the individuals necessary to induce cultural change in scientific organizations. Please keep it up, all you skeptical blogs.
John
In my opinion, this line from the article best sums up the state of climate “science” over the past couple of decades: “To their eternal discredit too many of the Western scientific establishment abandoned common sense and scientific standards of objectivity and prudence in order to accommodate their paymasters.”
But we all know it’s really about Big Oil and/or the Koch Brothers, right?
Dr Page:
“4/02/13 ( Global)
1 Significant temperature drop at about 2016-17
2 Possible unusual cold snap 2021-22”
1: Good timing, but the faster drops will be regional, like from negative AO/NAO conditions, and that will shunt more warmer sea water towards the Arctic, and also promote El Nino conditions, so the global average surface temperature would rise temporarily.
2: 2021-22 will be close to the next solar cycle minimum and the largest drop in the solar wind speed often occurs from about a year after solar minimum: http://snag.gy/UtqpX.jpg
but that would again give negative AO/NAO conditions and regional (temperate zone) short term cooling.
My sincerest thanks to you, Dr. Page. Your efforts are precisely the reason I read WUWT. Our society is engaged in a huge conflict and for a sideliner like myself it is important to have this information. Somewhere in the future (a prediction) this carbon dioxide lunacy will end. The duration of the wailing and gnashing of teeth we will have to experience is uncertain but your common sense helps put us on the path to the end. I believe, like many here on WUWT, we are far from the end game. There has been progress. I was recently in Craig, Colorado and heard local advertisements for the formation of a delegation to go to Denver to represent coal interests in the EPA hearings being held there today. This was the first time I have heard unequivocal and strident remarks against the carbon dioxide mantra. Most resistance in the past has been barely forceful enough to receive any attention from the media. With efforts like yours, perhaps that will change.
Again, Thanks.
Richardscourtney:
Thank you for your reply. I agree a linear trend is overly simplistic. Unfortunately that’s the only kind of trend that WoodForTrees can plot. It is also what Dr Page used to demonstrate that temperatures declined between 2003 and 2013. I was simply trying to point out that if you look at the data from 1970 to 2013, the last 10 years (even though they have a small negative trend) don’t appear to be hugely inconsistent with an underlying continued rise in temperature, given the degree of short term variability in this series.
And, as a matter of fact, Dr Pages Figure 7 DOES omit the most recent few months of data. WoodForTrees interprets “To 2013” as meaning to 2013.0 – in other words as far as January 2013 and no further. On this plot, the missing data are in red:
http://www.woodfortrees.org/plot/hadsst3gl/from:2003/plot/hadsst3gl/from:2003/to:2013
Nigel
At present consumption rates, peak coal will be in 2070 and peak energy (of all types) will be about 2050, unless there is a big change of heart about Thorium. There isn’t much uranium to find – peak uranium in about 2035. It is a good thing there will still be hydro and tidal power – a small stream equals 100 solar panels.
Steve Lohr says:
October 30, 2013 at 9:40 am
>>>>>
I don’t have the ability to put it any better.
No one can foresee the future, but some of us can see when others are trying to mislead us.
Thanks, Dr. Page
Tom in Florida says:
“Projection: If I get into a car accident on the way home, I could be late for dinner.
Prediction: Working late will make me late for dinner.
Forecast: Because I am working late tonight, I should be late for dinner.”
Let’s apply this to the Climate Scientists then.
Projection: If CO2 is the control knob for Earths temperature, there could be catastrophic warming.
Prediction: Since CO2 is the control know for Earth Temperature, catastrophic warming will occur with increasing CO2.
Forecast: Because CO2 is the control knob for earth’s temperature, we should expect catastrophic warming to be occurring.
Doesn’t look to me like the Climate Scientists are making a projection based on your logic. Looks more like they are making a Prediction trying to claim they are only making a projection. Once the rate of CO2 increase or decrease is known, then the projection instantly becomes a prediction. Their predictions (models) are NOT following CO2 concentrations thus the models are WRONG.
“… that such a little tail should wag such a big dog.”
To explain to the naive warmista just what the anthropogenic 5% of 400ppm CO2 amounts to, I use the analogy of walking over a bridge 1km long. We would seem justified in making the canine metaphor more precise by saying “..that such a flea sitting on the tail of the dog should wag the dog”.