"Even doubling or tripling the amount of CO2' will have 'little impact' on temps"

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From New Zealand Climate Science

Professor Geoffrey G Duffy

DEng, PhD, BSc, ASTC Dip., FRS NZ, FIChemE, CEng

Dr. Geoffrey G. Duffy, a professor in the Department of Chemical and Materials Engineering of the University  of Auckland, NZ. Duffy received the New Zealand Science and Technology Silver Medal, in 2003 from The Royal Society of New Zealand.  And has published 218 journal, peer-reviewed papers and conference papers including 10 patents and 62 technical reports.

Duffy’s full bio is here: http://www.ecm.auckland.ac.nz/staff/ggd

Climate is always changing, and always will.  There are seasons.  There are day-night (diurnal) cycles.  At any one location, heat energy from the sun varies during the day.   Energy from the sun is affected by local conditions and clouds.   Heat absorption depends on whether it impacts water or land … and even then, the type of land (desert, forest, snow covered land), or the layout of the land (continental masses, or islands surrounded by seas).  In some parts of the world temperatures are climbing on average, and in some areas they are dropping.  Warming is not occurring everywhere at once and hence ‘global warming’ is a misnomer.

So what are the key players in ‘Climate Change’?  The major driver is the sun.  Warming depends on the sun.  Cooling is due to the lack of sun’s energy.  Radiant energy enters the earth’s atmosphere.  Air (on a dry basis) consists mainly of nitrogen 78.08% and oxygen 20.94%.  Of the 0.98% remaining, 95% of that (ie 0.934%), or almost all is the inert gas argon.  Carbon dioxide CO2 is a trace.  It is less than 400ppm (parts per million) or 0.04% of all the atmosphere (on a dry basis).  Surprisingly, less than a fifth of that is man-made CO2 (0.008% of the total), and that is only since the beginning of the industrial era and the rapid increase in world population.

The atmosphere however is not dry!  The next major constituent of air apart from oxygen and nitrogen is water, as a vapour and a condensed liquid. The atmosphere is comprised of about 1-3% water vapour [At 20°C and 100% humidity there is 0.015kg water/kg air or 1.5%: at 50% Humidity, 0.008kg water/kg air or 0.8%: and in warmer climate at say 30°C, 100% humidity, 0.028kg water/kg air or 2.8%].  Water vapour condenses to form clouds and it is by far the most abundant and significant of the greenhouse gases.  Water accounts for about 95% of the greenhouse effect.  The main atmospheric ‘intermediary’ between the sun and earth is water, and thus it dictates the behaviour of the earth’s climate. Without water vapour in particular and other greenhouse gases in the air in general, the surface air temperatures worldwide would be well below freezing.  The sun clearly must be a much bigger influence on global temperatures than any of the greenhouse gases, even water and CO2.  Carbon dioxide is about 1/60 of water in air!!   It clearly is not the major player even though it is wise to minimise man-made emissions like particulate emissions, and CO2 and other gases where practically possible.

Variable and unstable weather conditions are caused by local as well as large-scale differences in conditions (wind, rain, evaporation, topography etc).  They naturally induce either warming or cooling locally, regionally, or worldwide.  We all have experienced how on a cloudy/sunny day that clouds strongly affect our sensations of both heat and light (infrared energy and visible light).  Clouds do several things!   The atmosphere may be heated by clouds by emitting latent heat of condensation as water vapour condenses.  But clouds can both heat the atmosphere by reducing the amount of radiation transmitted, or cool the atmosphere by reflecting radiation.  So of all the affects that can influence heating and cooling in the atmosphere and on earth, clearly water is the main greenhouse ‘gas’.  Other greenhouse gases (carbon dioxide CO2, methane CH4, oxides of nitrogen etc) are 1/60 to 1/30 smaller in both quantity and effect.  So with all ‘greenhouse gases’ including water, human activity accounts for only minute amounts, just 0.28% of the total greenhouse gases.  If we exclude the key one, water, then human activity would only account for about 5.53% of the total greenhouse effect.  This is minute in the total picture whatever way we look at it.

Unfortunately a lot of estimates and predictions are strongly based on theoretical computer models. Many now even trust models and their ‘theoretical results’ more than actual measurements and facts from reality. Computer analysis requires that the earth be ‘cut’ into small, separate areas (actually volumes), each being analysed for heat input/outputs and other gas/vapour fluxes.  Even so the computational analysis domain size (basic computer grid elements) is huge, 150km x 150km by 1km high, with the current computer power.  It is so large that the effects of even the very large clouds are not individually included; and that includes clouds in our visual horizon.  The spatial resolution is therefore very poor.  Supercomputers cannot give us the accuracy we need.   Modellers therefore use parameters: ‘one factor fits’ all, for each of the domains (a kind of a ‘fudge factor’).  This is sad, as water as vapour in clouds is 30 to 60 times more significant than other minute amounts of other greenhouse gases.  Clearly climate simulations and thus predictions can be in serious error unless the actual cloud effects are well defined in the models.  It is not only the number and spacing of the clouds in that 150 square kilometre area, but also cloud height effects, and cloud structure.  These factors are not accounted for at all.  Typhoons are still not represented in most models.  Many tropical storms and local intense rain downfalls say in a 50km radius cannot be ‘seen’ by the models. Volcanic eruptions and large forest fires are extremely difficult to model. These emit enormous tonnages of small particulate matter that have immense shielding effects and interactions in the atmosphere. The slow diffusion of the smoke on windless days, and the more rapid turbulent dissipation on windy days are both very difficult to model or predict.   We are simply ‘not there yet’ in the simplest events.

The inter-zonal effects of such larger-scale movements like the Gulf stream, or the El Nino–El Nina patterns, are not really greatly understood, and virtually impossible to model.  The ‘noise’ (random fluctuations) in the results from the computer models is often greater than the magnitude of the computer readout results themselves!  It is really surprising why model computer-forecasts are trusted for periods of say 30 – 50 or so years, yet weather forecasts are often very inaccurate even over a 2 or 3 week period.  A good model should be able to ‘predict even the recent past’.  The fact that these models cannot, clearly shows that we should shift our thinking and trust away from computer models to longer-term analysis of actual data, and to understanding the real physical mechanisms and processes (the ‘cause’ and ‘effect’ factors).  Someone has said; “if tomorrow’s weather is inaccurately modelled and predicted, how can we pretend to predict long-term climate changes?”

Linearising short-term, random fluctuations in weather changes and temperature changes is scientifically untenable (weather and climate changes should be studied over very long periods if reliable trends are to be discerned).  Much credence is given to the ‘hockey-stick effect’ of temperature data (upward swing in mean temperature over just the last decade or so) proposed and adopted by the IPPC (Intergovernmental Panel on Climate Change).  Nations have grabbed this and are using this to base their policies for actions on global warming effects, and the implementation of controls on carbon-based emissions by carbon taxing.  The very computer programme that gave IPPC those results was recently rigorously tested by inputing random numbers, and the computer-generated readout gave the same upward data trend with this meaningless input.  This makes a mockery out the IPPC report and subsequent actions.  Of course IPPC cannot admit to that now, as their report has been regarded as ‘gospel’ by many nations.  In stunning direct contrast, actual data (not idealistic models) from remote sensors in satellites have continuously measured the world’s temperature and have shown that the trend in the warming period ended in 2001.  Actual satellite measurements show that the temperature has dropped about 0.60°C in the past year, when compared to the mean recorded 1980 temperature.  Observations from the Hadley Centre show that global temperature has changed by less than 0.050°C over the past decade!  Also 1998 was distinctly warmer than 2006 because of the El Nino event.  Why can’t we believe actual accurate data?

A man-made ‘greenhouse’ does not create new heat.   A man-made ‘greenhouse’ can only increase the residence time or hold-up time of heat just like a blanket.  Likewise in the atmosphere, the ‘greenhouse effect’ acts as a mechanism to smooth out fluctuations or rises and falls in temperature (that is advantageous).  It is a dampener!  It cannot be a dominant factor for global temperature change.  It is the sun that gives the heat energy and drives temperature change.  Simply, if the sun’s energy decreases, then the ‘global’ temperature will fall; with or without any greenhouse effect (and vice-versa).

But we must also consider the location of the effects.  The surface of Earth is 70 % water.  Water has a far greater heat carrying capacity than land; or even the atmosphere itself.  Most of the incoming heat from the sun is absorbed by the seas and lakes (simply because they occupy 70% of the world’s surface area).  When we compare that with land masses, a lower proportion of heat is reflected from watery zones to participate in the greenhouse effect.  The greenhouse effect is mainly a phenomenon of the land surface and the atmosphere because land masses lose most of the heat they receive during the day by the action of overnight radiation.  To multiply that effect, the atmosphere loses heat rapidly out into space by rainfall, convection and radiation, despite the greenhouse effect.  So the large surface area of water over the world and the heat storage of water, are far more significant than any atmospheric greenhouse effect.   The oceans really control the transport of water vapour and latent heat changes into the atmosphere (latent heat is heat needed to convert water-to-vapour, or conversely is given up when vapour goes to water), and this is far more significant than sensible heat changes alone (non changes in the state of water).

The seas take a long time to warm up or cool down when compared to land.  This means the storage of total heat by the oceans is immense.   As mentioned, heat energy reaching the land by day is soon radiated back out into space at night.  But there are also zonal differences!  The sun’s energy at the equator is consistent all year round, and in this region the larger proportion of surface area happens to be the ocean water.  The dominant heat loss is primarily at the poles with each pole alternating as the main loser of heat.  As a result there are severe cyclical variations in temperature with the seas and ice caps having the dominant effects in energy changes and hence temperature effects. If the erroneously-called, ‘global warming’ was occurring now we should see it now.  Oceans would be expanding and rising; in fact over the past two years, the global sea level has decreased not increased.  Satellites orbiting the planet every 10 days have measured the global sea level to an accuracy of 3-4 millimeters (2/10 inch inches) [see sealevel.colorado.edu].  Many glaciers are receding but some are increasing.  Glacial shelves at the poles melt and reform every year because there are periodic seasonal changes; these alone show dramatically just what changes can occur from summer-to-winter-to-summer again and again.  Dramatic changes?  Yes; but they are perfectly normal and to be expected.

It is also important to highlight that CO2 is not a pollutant.  It is vital for plant, tree, and food-crop growth.  The basic principle of equilibria shows that when A and B make C and D, then C and D will react to form more A and B.  Hence, as CO2 is produced, it will ‘react’ to produce more oxygen and cellulosic carbon through the well-known chlorophyllic process. Tree, plant, and food-crop production goes up markedly.  With low amounts of CO2 in the air we would have severe food crop deficiencies.  This process occurs with plankton too.  But over and above this chemical-biochemical reaction is the simple physical equilibrium process of solubility.  As the seas cool, more CO2 dissolves in the water, and CO2 in the air reduces (and vice-versa).

Other extremely important insights can be gleaned from the ice-core record.  If CO2 was the main contributor to climate change, then history would reveal that the levels of CO2 would precede the mean temperature rise around the globe.  In fact it is the opposite!  Increases in CO2 have always lagged behind temperature rises and the lag involved is estimated to be 400 to 800 years. The core samples show that there has never been a period when CO2 increases have come before a global temperature increase.  Any recent apparent temperature upward trend cannot be linked to CO2 increases.  There is no physical evidence to support that.  In fact there is the high probability that the more likely explanation of an overall warming trend is that we follow the ‘recent’ Little Ice Age, 400-600 years ago. There was also a Mediaeval Warm Period (MWP) that preceded that too!

The heat from the sun varies over a number of solar cycles which can last from about 9.5 years to about 13.6 years (the main one is the cycle of 11 years).  The earth also has an irregular orbit around the sun. These and other effects like the gravitational effects of the planets of the solar system, combine to affect the sun’s magnetic field. Solar fares and sunspots affect the amount of heat generated from the sun.  In fact, there is an excellent correspondence in general warming on earth with increased sun spot activity.  The graphical correlation of sun-spot activity and the earth’s mean temperature changes is quite amazing.   It appears that the activity of the dominant ‘heat supplier’ (the sun) has a far greater affect on weather (and therefore climate change) than any traces of atmospheric gases.

It is also interesting to note that NASA’s Aqua satellite system has shown that the earth has been cooling since 1998.   This corresponds with measurements from the Argos sub-ocean probes that the ocean is cooling.  This is in stark contrast with the proposals from many ‘climate alarmists’.  The solar effect is huge and overwhelming and there must be time delays in absorbance and build up in energy received by earth and ocean masses.  But the warmer the Earth gets, the faster it radiates heat out into space. This is a self-correcting, self-healing process.

The sun directly drives the El Nino–El Nina current motions that drive temperature changes world-wide.   The sun sets up evaporative cycles, drives larger air and water currents or cycles, and changes weather patterns and therefore climate change.  The varying degrees of lag and out-of-phase changes cause periodic oceanic oscillations.  The El Nino Southern Oscillation (ENSO cycle) turns from warming to cooling depending on the net warming or cooling effect of the sun. This occurs quite rapidly.  From about 1975 to 2000 there was a strong El Nino warming period (a positive Pacific Decadal Oscillation (PDO).  Now there is a La Nina period, and this has a cooling or decrease in warming (negative PDO).  In essence the ENSO and PDO switching is caused directly by the sun. Also there are similar periodic oscillations in other oceans (Atlantic and the Arctic oceans).

The panic to do something about climate change has led to some unrealistic and unsustainable actions.  For example, Bio-fuels from grain will greatly increase food prices and roughly 30 million people are expected to be severely deprived.  The USA will use up to 30% of the annual corn crop for alcohol production for vehicles alone.  Ethanol production requires energy too to make it economically.  The actual cost/liter is much the same as other liquid fuels, but the liters/kilometer consumed by vehicles is much higher than petrol, and well-meaning motorists will have to use far more ethanol.  Just one tank full of ethanol for an SUV is obtained from enough corn to feed one African for a year. Worldwide the ethanol plant subsidies in 2008 will total $15 billion.  A 2008 study on bio-fuels has shown that the CO2 emissions will actually double if carbon-rich forests are cut down.

Well, what about all the latest pictures, videos and TV programmes on climate change?   Yes, there is a lot happening!  Weather patterns are changing in many parts of the world and some catastrophic events seem to point to the earth warming.  Even over our lifetime we have observed many weather pattern changes where we live.  But what we observe (the ‘effect’) in a relatively small time-span cannot honestly be connected directly to any supposed ‘cause’ without investigating all the mechanisms that cause change.  It is so easy to grab onto the notion that the increase in fossil-fuel burning and subsequent growth in carbon dioxide in the atmosphere is directly the major cause.  Even from season to season we see snow and ice-covered mountains thaw, and massive areas of the Antarctic ice shelf melt, but in just 6 or so months they are restored.  We are not alarmed at these annual changes!  So why can’t we see that climate changes occurring all over the world now (not as big as these dramatic annual changes) are simply similar but on a larger time-scale.  We have the ice-core and sea-bed core evidence at least to show us that this has happened in recent centuries.  These are in harmony as to changes in CO2 with time and variations in temperature over time.  There is no indication that one causes the other!   History also tells us that there have been significant cooling periods over the last 1,000 years.

Climate and local weather is forever changing.  Sure we must minimise pollution of our air and water systems with obnoxious chemical and particulates, and not treat them as ‘sewers’.  But even doubling or trebling the amount of carbon dioxide will virtually have little impact, as water vapour and water condensed on particles as clouds dominate the worldwide scene and always will.

CARBON DIOXIDE CO2

BEST ESTIMATES OF THE LOCATION of CO2  as carbon (C)

Giga tonnes Gt (BILLION tonnes)

Atmosphere                                                   750 Gt

Oceans – surface                                       1,000 Gt

Oceans –  intermediate / deep                  38,000 Gt

Vegetation (soil, detritus)                             2,200 Gt

41,950 Gt

Annual EXCHANGE of CO2

Ocean surface – Atmosphere                              90 Gt

Vegetation – atmosphere                                     60 Gt

Between Marine biota and Ocean Surface          50 Gt

Oceans( surface-to-deep)                                  100 Gt

Human emissions* (coal, oil, nat. gas)        6 Gt  <2% 306 Gt

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Michael Hauber
September 4, 2008 4:23 pm

Funny thing, the sun represents only about 0.001% of the entire sky when we look up. How could anything so small have any influence on our climate..

Admin
September 4, 2008 4:32 pm

Good counterpunch Michael H, even if I don’t agree with your point of view.

September 4, 2008 4:39 pm

Neil Fisher (15:57:23) :
To date, I see 10 years of climate predictions and 4 ENSO events correctly predicted, which is pretty impressive (especially the ENSO events – years in advance is significantly better than any other system). Of course, they can be said to be somewhat vague, but what climate/weather prediction is not?
The problem is that the Barycenter/Tides/SIMS, etc [I will call them BTSs from now on] are not unique in their predictions. There are many other ‘solar’ mechanisms that their adherents claim have predictive power and many have predicted that with a less active sun, we should get some cooling. Since BTSs are unphysical [the energy is not there, there are no forces, the tides are 1 millimeter high, etc] one would prudently go with one of the physically plausible models if one were to entertain the solar influence idea.
It reminds me of this anecdote: In deepest Africa there is a tribe that claims that beating of tam-tam drums during a solar eclipse will restore the Sun. They are spookily accurate: in fact, their method has never failed.

H
September 4, 2008 4:40 pm

Having lived in Auckland, NZ for a couple of years I am absolutely amazed that a Kiwi has come out and relied on science and observation in this debate. Generally Kiwis are all about feelgood symbols and looney left wing politics. It all about the “vibe”, even more so than Canadians. (Gross generalisation but fun!)
Leif Svalgaard has identified a weakness in the article and there were other typos (eg. “IPPC”). They do detract, but having said that it was a good summation of many issues in terms lay people, like me, can understand.

Robert Wood
September 4, 2008 4:45 pm

In all the Anglosphere countries, except India, global warming is becoming a hot political issue – amongst the political class, not the people. New Zealand is most advanced, with the labour government trying to push through parliament an ugly climate control bill, or whatever it is called.
But, as in Britain and Australia, the people are saying: “Hang on, you want energy to be even more expensive?”.
We have a federal election coming up in Canada where the opposition “Liberal” party is running on a $14 billion tax grab under the excuse of saving the planet. They call it the Greenshift, whereby good honest hard-earned green money is shifted from your pocket to the state coffers.

Glenn
September 4, 2008 4:46 pm

Leif said: “We have been over this before, but the barycenter and planetary tides mechanisms do not operate on the Sun. This is bad science [not even that, actually, pseudo-science, rather], and detracts from whatever merit the article may otherwise have.”
If by before you mean the “Astronomical Society of Australia” post, then you haven’t shown this is pseudo-science, only that you disagree. Others, including Ian Wilson, held positions that this is science. Maybe not a well established theory, but it seems there is either a correlation of multiple events, or the AU journal and peer-review process isn’t worth the paper it’s written on. That seems to be effectively what you are saying.
“We present evidence to show that changes in the Sun’s equatorial rotation rate are synchronized with changes in its orbital motion about the barycentre of the Solar System. We propose that this synchronization is indicative of a spin–orbit coupling mechanism operating between the Jovian planets and the Sun.”
http://www.publish.csiro.au/nid/138/paper/AS06018.htm
Professor Duffy pointed out some bad science, and it is curious you didn’t comment on that, on a blog that is concerned with AGW. You don’t even say whether there is any merit at all in this post’s article at all. Could you explain the science behind your comment below concerning the cause or mechanism for why big cycles start out with a bang, or is you comment based on a “well it always seemed to happen that way in the past” observation?
“The big [cycles], they start out with a bang. One month, there may be none, the next month they may be all over the place,” Svalgaard told New Scientist.”
http://space.newscientist.com/article/dn14652-suns-face-virtually-spotfree-for-months.html

Glenn
September 4, 2008 4:53 pm

Leif: “It reminds me of this anecdote: In deepest Africa there is a tribe that claims that beating of tam-tam drums during a solar eclipse will restore the Sun. They are spookily accurate: in fact, their method has never failed.”
If that really is a good anecdote, then replace the beating of the tam-tams with an unintelligent source or force, and explain the correlation.

Kip
September 4, 2008 4:54 pm

Michael Hauber (16:23:33) :
Funny thing, the sun represents only about 0.001% of the entire sky when we look up. How could anything so small have any influence on our climate..

I suppose if one were to throw out the distinction of radiative heat produced by .001% of empty sky versus .001% of thermonuclear sky (the sun) that would be a relevant point. I don’t think anyone would disagree that it gets colder when the sun is down or covered.
Also, what is the capacity for CO2 to store heat versus water vapor versus the other common elements and compounds in the atmosphere?

September 4, 2008 5:12 pm

Glenn (16:46:03) :
the AU journal and peer-review process isn’t worth the paper it’s written on. That seems to be effectively what you are saying.
Peer-review seems to have failed for many AGW-papers too, wouldn’t you say? Or maybe the peers also have an agenda…
Could you explain the science behind your comment below concerning the cause or mechanism for why big cycles start out with a bang, or is you comment based on a “well it always seemed to happen that way in the past” observation?
The straw man you trot out is easy to deal with [you could have done it yourself]. Here is the argument:
Assume that all cycles have the same length, say 11 years. Assume that maximum comes about halfway through the cycle, after 5 years. A large cycle with 200 ‘spots’ at maximum will then have an average growth rate of 200/5 = 40 spots/year [coming out with a bang]. A small cycle with 50 spots at maximum will have a growth rate of 50/5 = 10 spots/year [coming out with a whimper].
Detailed dynamo models can do better, they predict that stronger cycles are shorter, and that their maximum comes earlier than halfway. This just makes the growth rate even faster [more BANG].
In addition to this argument, observations also show that big cycles start with a BANG, so we may have some confidence that there is something to it.

Leon Brozyna
September 4, 2008 5:20 pm

A fine Executive Summary for “the science is not settled” position. Now if someone would just present a copy to Senator McCain…

September 4, 2008 5:21 pm

Glenn (16:53:02) :
If that really is a good anecdote, then replace the beating of the tam-tams with an unintelligent source or force, and explain the correlation.
[sigh] Correlations don’t need to be explained as they are not necessarily causations,

Editor
September 4, 2008 5:22 pm

Craig D. Lattig (14:39:39) :
As Leif points out, there is a “Hmmmm” moment in this article….but short of sending out multiple copies of Roy Spencers book, this is the best primer on climate I’ve seen to send out to my liberal arts friends who walk around clutching Al Gore’s book to their chests while hinting that I am an uninformed fossil… or worse.
I’m passing it around with an evil grin attached…..
I think Lucy’s http://www.greenworldtrust.org.uk/Science/Curious.htm is a much better thing to give to environmentalists. It covers more terrain, has good links, and is written by an environmentalist.

September 4, 2008 5:29 pm

Glenn (16:46:03) :
Professor Duffy pointed out some bad science, and it is curious you didn’t comment on that, on a blog that is concerned with AGW. You don’t even say whether there is any merit at all in this post’s article at all.
That is because the question whether on physical grounds the BTSs make sense have nothing at all to do with AGW. I speak of what I [think I] know and leave the rest to whomever has an interest in that.

DAV
September 4, 2008 5:41 pm

Leif Svalgaard (16:39:15) : It reminds me of this anecdote: In deepest Africa there is a tribe that claims that beating of tam-tam drums during a solar eclipse will restore the Sun. They are spookily accurate: in fact, their method has never failed.
Yet science also proceeds using similar logic. Don’t want to get all meta here but I doubt there are many models that haven’t been “proven” by statistical correlation to experiment. Until a better explanation is provided the tribe is behaving and believing reasonably.
I tend to agree that small effects (like BTSs, as you call them) are unlikely causes but any correlation to surface features still tickles curiosity and until it can be shown to be purely coincidence, they can’t be ruled out.
By “better” explanation, I of course mean something that can be demonstrated to work as well as the drum beating method vs. a purely logical argument.

Glenn
September 4, 2008 6:13 pm

Leif:
the AU journal and peer-review process isn’t worth the paper it’s written on. That seems to be effectively what you are saying.
“Peer-review seems to have failed for many AGW-papers too, wouldn’t you say? Or maybe the peers also have an agenda…”
I haven’t seen any AGW papers from the AU journal, so I couldn’t comment on whether peer-review has failed or they are following an agenda. However, I see no correlation in the IPCC models and reality, other than their
drawing a target around the arrow in the side of the barn and calling it prediction.
Could you explain the science behind your comment below concerning the cause or mechanism for why big cycles start out with a bang, or is you comment based on a “well it always seemed to happen that way in the past” observation?
“The straw man you trot out is easy to deal with [you could have done it yourself]. Here is the argument:”
I don’t see where I provided a strawman. I simply asked you about what you were quoted as saying. A strawman is an attack on a false position of your opponent. You either said what NewScientist claimed or you didn’t. If you didn’t, it’s not my fault. Seems you have no problem with it, though. So did you answer my question about mechanism below?
“Assume that all cycles have the same length, say 11 years. Assume that maximum comes about halfway through the cycle, after 5 years. A large cycle with 200 ’spots’ at maximum will then have an average growth rate of 200/5 = 40 spots/year [coming out with a bang]. A small cycle with 50 spots at maximum will have a growth rate of 50/5 = 10 spots/year [coming out with a whimper]. ”
I’m not going to assume anything, especially that cycles all have the same length. And an average certainly can not be used to determine whether a cycle “comes out with a bang”. Perhaps you have a different perception of what that phrase means, though. Rate can change during an ascending cycle and still be a big or mediocre cycle. This depends on cycle length, which I’m sure you are aware. I asked you for the cause of your claim, and this ain’t it.
Detailed dynamo models can do better, they predict that stronger cycles are shorter, and that their maximum comes earlier than halfway. This just makes the growth rate even faster [more BANG].
So are these models based on a known and understood mechanism?
In addition to this argument, observations also show that big cycles start with a BANG, so we may have some confidence that there is something to it.
I didn’t see the argument. I saw a theoretical cycle of a certain length and a certain amount of spots, an unsupported claim of models, and a “it’s always happened that way in the past” correlation.
The next cycle could start out with a bang (say your 40 spots a year), you would (it appears) predict a “big” cycle, then max out after a year, and your prediction would be wrong. Is that not possible? If not, why not? What is the mechanism?
Looking at these cycles, I don’t see where one could predict the peak (big one) based on the upslope.
http://blog.ltc.arizona.edu/azmasternaturalist/Sunspot%20cycle.JPG

Glenn
September 4, 2008 6:18 pm

Leif: “[sigh] Correlations don’t need to be explained as they are not necessarily causations,”
Double sigh. Science progresses by observing correlations. You’ve done it yourself: “In addition to this argument, observations also show that big cycles start with a BANG, so we may have some confidence that there is something to it.”

September 4, 2008 6:24 pm

Ric Werme (17:22:04) :
I think Lucy’s http://www.greenworldtrust.org.uk/Science/Curious.htm is a much better thing to give to environmentalists. It covers more terrain, has good links, and is written by an environmentalist.
As long as she doesn’t pollute it with BTS [as she was considering].
DAV (17:41:12) :
Yet science also proceeds using similar logic. Don’t want to get all meta here but I doubt there are many models that haven’t been “proven” by statistical correlation to experiment. Until a better explanation is provided the tribe is behaving and believing reasonably.
Granted that much science is done in order to explain some new phenomenon that has been observed, but some of the grandest theories were not. Einstein’s General Relativity [and even Special Relativity, as he claims that he did not know about the Michelson-Morley experiment] and Dirac’s relativistic quantum mechanics were not, but on the other hand predicted brand-new stuff, never dreamed off before.
I tend to agree that small effects (like BTSs, as you call them) are unlikely causes but any correlation to surface features still tickles curiosity and until it can be shown to be purely coincidence, they can’t be ruled out.
‘Scientific Relativism’ – that every theory is good as any other – is false. And in science, nothing can be ruled out, but to be ‘ruled in’, theories have to mesh with the existing corpus of existing theories or uniquely explain something observed that has no explanation within existing paradigms. [I don’t want to go too Meta, either; so, perhaps, enough about the philosophy…]

kum dollison
September 4, 2008 6:56 pm

Until I see some Proof that this is anything more than opinion, I’ll have to assume that everything, else, he said was just opinion, also.
What makes is worse is, after several years of studying this I’m 99.9% convinced that the above statement is NOT true.

kum dollison
September 4, 2008 6:57 pm

Yikes, the part that I need to see the proof on is this:
For example, Bio-fuels from grain will greatly increase food prices and roughly 30 million people are expected to be severely deprived.

Traciatim
September 4, 2008 7:00 pm

Robert Wood, I believe you have misread the Canadian Liberal ‘The Green Shift’ (not to be confused with Green Shift Inc, who is suing the Liberal Party over use of the name) plan.
The Green Shift is a plan to tax fuel use in combination with wide reaching income tax cuts that should help lessen the impact to citizens.
Their plan seems pretty sound, you increase taxes on fuel use, you send rebates to income earners and seniors, you destroy the manufacturing and energy sectors and they move all their jobs off shore, price of good increase causing the central bank to increase rates widening the unemployment fall out as people lose their businesses and homes, and when nobody can afford anything . . . voila . . . no more CO2 problem.
As you can tell, I won’t be voting Liberal thanks to ‘The Green Shift’.

September 4, 2008 7:32 pm

Glenn (18:13:06) :
Maybe it is just because English is not my mother tongue, but since you wrote: “the AU journal and peer-review process isn’t worth the paper it’s written on.” I interpreted that to mean peer-review in general, otherwise I would have expected: “the AU journal and its peer-review process…” On the other had the “isn’t” is maybe a sign that could be interpreted to mean that its wasn’t intended.
I don’t see where I provided a straw man.
Since the question did not start a new paragraph, I interpreted it as being a continuation of the general criticism of me within the first half of the paragraph.
A straw man is an attack on a false position of your opponent.
I interpreted your question [and the use of “Well, ..” as an attempt to cast doubt on my statement of our understanding of the growth of the cycle, relegating it to the same status of the correlations that I don’t support.
So did you answer my question about mechanism below?
I’m not going to assume anything
This sounds very nice, but seems to be intended to cast doubt on somebody that does make simplifying assumptions to illustrate the point [the physicist who starts out “assume a spherical cow of uniform density” when trying to explain something to farmer Jones…]
Rate can change during an ascending cycle and still be a big or mediocre cycle. This depends on cycle length, which I’m sure you are aware. I asked you for the cause of your claim, and this ain’t it.
Just after the calculation of the average rate, I, of course, relaxed the assumptions and pointed out that a more sophisticated treatment is possible.
So are these models based on a known and understood mechanism?
A ‘model’ in my use of the word is an encoding of our understanding of a physical process [‘known’ is too big a word] so my answer here is a qualified yes.
I didn’t see the argument. I saw a theoretical cycle of a certain length and a certain amount of spots, an unsupported claim of models, and a “it’s always happened that way in the past” correlation.
See, it is as I suspected, an attempt to show that I too just rely on past correlations.
The next cycle could start out with a bang (say your 40 spots a year), you would (it appears) predict a “big” cycle, then max out after a year, and your prediction would be wrong. Is that not possible? If not, why not? What is the mechanism?
[sigh] almost anything is “possible” [is it possible that the lottery ticket I just bought will bring me untold riches? – certainly, but I’ll not bank on it, or rather: my creditors won’t]. The question is: “it is plausible?”.
The following paper may give you a feeling for the answer to that question:
Monthly Notices of the Royal Astronomical Society, Volume 381, Issue 4, pp. 1527-1542, 2007 [also at http://arxiv.org/abs/0707.2258 ]
Solar activity forecast with a dynamo model
Jie Jiang, Piyali Chatterjee and Arnab Rai Choudhuri1
ABSTRACT
Although systematic measurements of the Sun’s polar magnetic field exist only from mid-1970s, other proxies can be used to infer the polar field at earlier times. The observational data indicate a strong correlation between the polar field at a sunspot minimum and the strength of the next cycle, although the strength of the cycle is not correlated well with the polar field produced at its end. This suggests that the Babcock-Leighton mechanism of poloidal field generation from decaying sunspots involves randomness, whereas the other aspects of the dynamo process must be reasonably ordered and deterministic. Only if the magnetic diffusivity within the convection zone is assumed to be high (of order 10^12 cm2/s), can we can explain the correlation between the polar field at a minimum and the next cycle. We give several independent arguments that the diffusivity must be of this order. In a dynamo model with diffusivity like this, the poloidal field generated at the mid-latitudes is advected toward the poles by the meridional circulation and simultaneously diffuses towards the tachocline, where the toroidal field for the next cycle is produced. To model actual solar cycles with a dynamo model having such high diffusivity, we have to feed the observational data of the poloidal field at the minimum into the theoretical model. We develop a method of doing this in a systematic way. Our model predicts that cycle 24 will be a very weak cycle…
The important sentence is this one:
“the Babcock-Leighton mechanism of poloidal field generation from decaying sunspots involves randomness, whereas the other aspects of the dynamo process must be reasonably ordered and deterministic”. Namely that the start of a cycle must be reasonably ordered and deterministic. This bears on your “you would (it appears) predict a “big” cycle, then max out after a year, and your prediction would be wrong”, in the sense that the orderly and deterministic start of the cycle would make that unlikely [and that is all we can say].
Looking at these cycles, I don’t see where one could predict the peak (big one) based on the upslope
If you look at the red curve, maybe you can see it better. The first two cycles are, perhaps, easier.
Or compare a really small cycle
http://www.dxlc.com/solar/cycl12.html
with a large cycle http://www.dxlc.com/solar/cycl19.html
Some of the ‘jitter’ you see that looks like ‘false starts’ that fizzle are just left-over stuff from the previous cycle. We can tell from the magnetic polarities if a ‘spurt’ is really new-cycle spots or old-cycle remnants.
The main point is that we think we know why there is such a difference in slope [e.g. see the paper that I cited] and why we think that we can use the slope in predicting the next cycle. Do I have to say that this is a difficult business and that prediction is hard? On the other hand, we are not stumbling in the dark either, and there are good physical reasons for why we think as we do, and that it is not based on just coincidences and not-understood correlations.

September 4, 2008 7:35 pm

Glenn (18:18:04) :
Double sigh. Science progresses by observing correlations. You’ve done it yourself: “In addition to this argument, observations also show that big cycles start with a BANG, so we may have some confidence that there is something to it.”
No, you misunderstand how science works. What I cited was the observation of a prediction coming from our understanding of the process.

September 4, 2008 7:44 pm

[…] Interesting, but fairly long article by Professor Geoffrey G Duffy. […]

Mark Nodine
September 4, 2008 8:05 pm

From the original article: It is really surprising why model computer-forecasts are trusted for periods of say 30 – 50 or so years, yet weather forecasts are often very inaccurate even over a 2 or 3 week period.
This is something that was one of my primary beefs about the global circulation models when I first started studying up on AGW in January. It seemed completely unreasonable to me to expect that solving the Navier-Stokes equation from unknown boundary conditions on a fixed-size grid that’s obviously too large to deal with turbulence could produce any kind of non-garbage answer. However, in thinking further about the problem, it seems to me that the situation may well be analogous to making statements about an ensemble average using thermodynamics without having to solve the wave equations for every particle that makes up the system. In other words, it may be possible/reasonable to predict macroscopic trends without being able to model all the microscopic details. Mind you, I’m still not sold on the validity of the GCMs, especially given our limited knowledge of how to model water vapor, but the possibility of developing a reasonable long-term model does not seem as far-fetched as it once did.

Graeme Rodaughan
September 4, 2008 8:17 pm

Hi Kum,
Re Bio-Fuels impact on food prices.
Check out
http://www.ces.purdue.edu/extmedia/ID/ID-346-W.pdf
http://www.fao.org/righttofood/publi08/Right_to_Food_and_Biofuels.pdf
http://www.bioenergy-business.com/index.cfm?section=lead&action=view&id=11236
http://afp.google.com/article/ALeqM5h0RVoVwPFlD8MXLYyQbxHamr9NYw
http://news.bbc.co.uk/2/hi/americas/7331921.stm
Obviously if Governments direct TAX subsidies to create an industry that inefficiently turns food into fuel – there will be those who suffer.
IMO, without tax subsidies the scale of bio-fuels would be very much reduced.