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The 'assumptions' of climate science (Read 5190 times)
JC Denton
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The 'assumptions' of climate science
Nov 11th, 2010 at 12:10pm
 
Whenever I hear those that deny anthropogenic global warming, they often talk about how climate science is predicated upon a bunch of 'assumptions' that are untenable. What are these assumptions and what do they actually mean, and why do they invalidate scientifically climate science?
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Soren
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Re: The 'assumptions' of climate science
Reply #1 - Nov 11th, 2010 at 1:18pm
 
Interesting questions.
I also wonder about what proponents of AGW think that sceptics are sceptical about.



I am sceptical about:

- Al Gore
- Tim Flannery
- The Indian IPPP head/soft porn writer
- The shrillness and stupidity of journalists who are agitating for AGW. They are a bunch of Media Studies graduates - who isn't sceptical about those?

- science's ability to correctly encompass all that is relevant to climate: all that influences climate AND all the various ways that these elements interact, balance and counter-balance each other.

- the above inability leads a lot of people to concentrate on the known known of Co2 -it is probably the most accurately measured of the various elements that play a part in climate, therefore it does lend itself to quantitative research more than all the other, more amorphous or less understood/measured components and interactions. This does not mean, of course, that Co2 is the cause of climate change.

- very sceptical about the unseemly haste with which the feral/red allinace, brimming with glee-for-doom, has jumped on the political bandwagon. A very telling sign of AGW being wrong. WIth friends like these who are so eager to be the new religious guardians of us all, AGW has no friend in me .




 

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JC Denton
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Re: The 'assumptions' of climate science
Reply #2 - Nov 11th, 2010 at 1:25pm
 
Thanks Soren, I am actually directing this at the skeptics on this board, but it would be good to see some input from non-skeptics too.
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gizmo_2655
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Re: The 'assumptions' of climate science
Reply #3 - Nov 11th, 2010 at 1:40pm
 
JC Denton wrote on Nov 11th, 2010 at 1:25pm:
Thanks Soren, I am actually directing this at the skeptics on this board, but it would be good to see some input from non-skeptics too.



Well Imp, Soren pretty much summed it up..

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"I just get sick of people who place a label on someone else with their own definition.

It's similar to a strawman fallacy"
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Re: The 'assumptions' of climate science
Reply #4 - Nov 12th, 2010 at 9:05am
 
Soren wrote on Nov 11th, 2010 at 1:18pm:
I am sceptical about:

- Al Gore



Come on Soren, you'll have to do better than that. What are you sceptical about with respect to Al Gore?

- his existence?
- his credentials as a communicator?
- the colour of his tie?
- his taste in food?
- the fact that his eyes are too close together?

Quote:
- science's ability to correctly encompass all that is relevant to climate: all that influences climate AND all the various ways that these elements interact, balance and counter-balance each other.


Every time I try to explain this, you either go silent or say something like (paraphrased) "Sorry, I'm not convinced" without explaining exactly which part you had issues with.  - or was it more a case of

- "Oh it's all too complicated for me to understand therefore nobody could possibly understand this because I'm smarter than everybody else" ?

Maybe it's your philosophical background talking when you said once  (paraphrased) "There are no answers - only questions"

Well that's it then, we might as well all give up. Technology is a figment of our imaginations because Soren says it's too hard, and no questions can be answered.

The point is that you haven't attempted to understand the explanations and evidence that has already been profferred.

If all scientists suddenly became philosophers, the world would be like Monty Python's soccer match, with everybody agonising about the first move.



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Soren
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Re: The 'assumptions' of climate science
Reply #5 - Nov 12th, 2010 at 12:37pm
 
Muso, you are just assembling, half-heartedly, a random collection of half-forgotten impressions and misunderstandings about what I may or may not have posted in various related and unrelated contexts months or years ago.

Gore - I am sceptical about whatever the man says he stands for.


Quote:
Every time I try to explain this, you either go silent or say something like (paraphrased) "Sorry, I'm not convinced" without explaining exactly which part you had issues with


1. Climate is singular. It isn't like rats of which you can have lots and which you can experiment on.
2. Therefore a model is necessary.
3. But a model requires that it be an artificial reproduction of a) all the relevant components of the original and that b) the interaction of these components mimic the intercation in the original c) under all the conditions that the original is able to function.

Science is not able to accurately meet the requirements of 3. It doesn't know all of a), doesn't fully understand all of b) even for the components it is aware of and because of its incomplete model of a) and b), it cannot reproduce all of c) and whatever it does reproduce is only partial.

Science cannot test whether it's model is accurate or not because of 1. Climate science relies on statistics rather than empirical tests for this reason.

We know empirically that science cannot do 3 because it cannot make accurate predictions about well-defined and isolated elements of the climate, colloqually referred to as the weather. If it cannot make accurate predictions about those, it cannot be assumned that its predictions about the whole are any more accurate than about the elements.

If weather predictions must take into account a range of uncontrolled/unknown elemenst, climate predictions should also allow for at least as much uncertainty. But climate predictions are made more stridently than weather predictions because these are not empirical but statistical predictions. They do not include what I listed under 3, only a statistical representation of past measures of what was measurable. This is why I say that climate science is statistics.

Climate science does what Hume identified as the frequent weakness in moral reasoning - jumping from 'is' to 'ought'.





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Re: The 'assumptions' of climate science
Reply #6 - Nov 12th, 2010 at 2:35pm
 
Weather forecasting is a great deal more complex than forecasting the temperatures and average rainfalls 50 years from now.

Regardless of that, I've been using a publically available weather forecasting model for the last 3 years that has been very accurate for rainfall prediction up to a week in advance.

Certain aspects of climate are much easier to get right than that, and relatively primitive models developed in the 1980's have largely predicted the last 25 years with remarkable accuracy. Currently we are into 4th generation climate models which now include ENSO and Solar cycle data.

We can use past recurring patterns and superimpose the effects of an average increase in Global temperatures.

If you put it very simply, increasing greenhouse gases decreases the Long Wave Infrared radiation to space, and increases the net energy of the lower atmosphere.

If you have a stepwise increase in the amount of energy going into a system (any system) you will see some kind of change.

That change can manifest itself in terms of increased temperature or the energy can be expended elsewhere (eg wind). Either way, we'll see a change.

We know how much greenhouse gases we are emitting (accountants make sure this information is accurate because of the $$$ that change hands).

We can see the effects of increasing CO2 on ocean pH and the effects this will have on a great many economically important species.

Regardless of whether it will happen in 2035 or 2060, the glaciers of this world are decreasing in size and will continue to do so, barring a super volcano erupting or something else that has not happened in the past 70,000 years or so.

The implication of the reducing size of glaciers, such as the himalayans are changes in regional climate (eg monsoons) and reduction in floodwaters.

For weather, this is an excellent precipitation model:

http://www.bom.gov.au/australia/charts/viewer/index.shtml

The financial pressures associated with business are even more complex than global climatic data, yet even there, we don't throw our arms up in the air and say "It's all too difficult"

We work on the best data we can get, and in the case of climatology that data is making some predictions which have not substatially changed (except in terms of increasing magnitude) since the mid 20th century.  

It comes down to the fact that for these high risk consequences, only a fool, or Christopher Monckton (on second thoughts,  'only a fool' says it all) would subscribe to the do-nothing option.
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gizmo_2655
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Re: The 'assumptions' of climate science
Reply #7 - Nov 12th, 2010 at 3:12pm
 
muso wrote on Nov 12th, 2010 at 2:35pm:
Weather forecasting is a great deal more complex than forecasting the temperatures and average rainfalls 50 years from now.

Regardless of that, I've been using a publically available weather forecasting model for the last 3 years that has been very accurate for rainfall prediction up to a week in advance.

Certain aspects of climate are much easier to get right than that, and relatively primitive models developed in the 1980's have largely predicted the last 25 years with remarkable accuracy. Currently we are into 4th generation climate models which now include ENSO and Solar cycle data.

We can use past recurring patterns and superimpose the effects of an average increase in Global temperatures.

If you put it very simply, increasing greenhouse gases decreases the Long Wave Infrared radiation to space, and increases the net energy of the lower atmosphere.

If you have a stepwise increase in the amount of energy going into a system (any system) you will see some kind of change.

That change can manifest itself in terms of increased temperature or the energy can be expended elsewhere (eg wind). Either way, we'll see a change.

We know how much greenhouse gases we are emitting (accountants make sure this information is accurate because of the $$$ that change hands).

We can see the effects of increasing CO2 on ocean pH and the effects this will have on a great many economically important species.

Regardless of whether it will happen in 2035 or 2060, the glaciers of this world are decreasing in size and will continue to do so, barring a super volcano erupting or something else that has not happened in the past 70,000 years or so.

The implication of the reducing size of glaciers, such as the himalayans are changes in regional climate (eg monsoons) and reduction in floodwaters.

For weather, this is an excellent precipitation model:

http://www.bom.gov.au/australia/charts/viewer/index.shtml

The financial pressures associated with business are even more complex than global climatic data, yet even there, we don't throw our arms up in the air and say "It's all too difficult"

We work on the best data we can get, and in the case of climatology that data is making some predictions which have not substatially changed (except in terms of increasing magnitude) since the mid 20th century.  

It comes down to the fact that for these high risk consequences, only a fool, or Christopher Monckton (on second thoughts,  'only a fool' says it all) would subscribe to the do-nothing option.


WHY is short term weather prediction 'more' complex than long term (50 year+) predictions of climate cycles and temperatures???
Surely if a 5 day weather prediction has too many variables to ensure accuraccy , then a 50 year prediction should have thousands of times more variables involved??
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JC Denton
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Re: The 'assumptions' of climate science
Reply #8 - Nov 12th, 2010 at 3:15pm
 
Quote:
But a model requires that it be an artificial reproduction of a) all the relevant components of the original and that b) the interaction of these components mimic the intercation in the original c) under all the conditions that the original is able to function.


I have heard similiar arguments employed against the usage of heritability analysis as well. You are demanding predictions made with near absolute certainty, and this requires a model that is a totally immaculate replication of actual climate as it exists in the real world. I thought that science was supposed to be probabilistic, and where absolute certainty cannot be established (if it can truly ever be established) we have to reply on reductionist approaches where the available models which are the most predictive of actual phenomeona with the highest probability are selected as the most favoured models. Am I off or is this supposed to be the argument Muso has always tried to make?
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Re: The 'assumptions' of climate science
Reply #9 - Nov 12th, 2010 at 3:21pm
 
JC Denton wrote on Nov 12th, 2010 at 3:15pm:
Quote:
But a model requires that it be an artificial reproduction of a) all the relevant components of the original and that b) the interaction of these components mimic the intercation in the original c) under all the conditions that the original is able to function.


I have heard similiar arguments employed against the usage of heritability analysis as well. You are demanding predictions made with near absolute certainty, and this requires a model that is a totally immaculate replication of actual climate as it exists in the real world. I thought that science was supposed to be probabilistic, and where absolute certainty cannot be established (if it can truly ever be established) we have to reply on reductionist approaches where the available models which are the most predictive of actual phenomeona with the highest probability are selected as the most favoured models. Am I off or is this supposed to be the argument Muso has always tried to make?


But isn't that the point imperium??
How can you base a whole system of 'scientific' knowledge on a  model that only has a 15 or 20% accuracy rating???

No one is 'demanding' massive changes to our lifestyle and technology system, based on the heritability analysis are they??
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"I just get sick of people who place a label on someone else with their own definition.

It's similar to a strawman fallacy"
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JC Denton
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Re: The 'assumptions' of climate science
Reply #10 - Nov 12th, 2010 at 3:24pm
 
gizmo_2655 wrote on Nov 12th, 2010 at 3:21pm:
JC Denton wrote on Nov 12th, 2010 at 3:15pm:
Quote:
But a model requires that it be an artificial reproduction of a) all the relevant components of the original and that b) the interaction of these components mimic the intercation in the original c) under all the conditions that the original is able to function.


I have heard similiar arguments employed against the usage of heritability analysis as well. You are demanding predictions made with near absolute certainty, and this requires a model that is a totally immaculate replication of actual climate as it exists in the real world. I thought that science was supposed to be probabilistic, and where absolute certainty cannot be established (if it can truly ever be established) we have to reply on reductionist approaches where the available models which are the most predictive of actual phenomeona with the highest probability are selected as the most favoured models. Am I off or is this supposed to be the argument Muso has always tried to make?


But isn't that the point imperium??
How can you base a whole system of 'scientific' knowledge on a  model that only has a 15 or 20% accuracy rating???

No one is 'demanding' massive changes to our lifestyle and technology system, based on the heritability analysis are they??


Did you pull those figures regarding the inaccuracy of future climate prediction (long term climate) based on current climate models and trend projections out of your arse or do you have anything to back that up?
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Re: The 'assumptions' of climate science
Reply #11 - Nov 12th, 2010 at 6:46pm
 
gizmo_2655 wrote on Nov 12th, 2010 at 3:12pm:
WHY is short term weather prediction 'more' complex than long term (50 year+) predictions of climate cycles and temperatures???
Surely if a 5 day weather prediction has too many variables to ensure accuraccy , then a 50 year prediction should have thousands of times more variables involved??


Good question.  In a word, it's all a question of resolution.

In concept, weather and climate models are very similar, but in practice they are used very differently. Weather models use the  current conditions as a starting point and then use atmospheric  physics to step forward in time. Now because they are run for short periods of time only, they tend to have much higher resolution, much more data and more detailed physics than climate models.  Weather models develop in ways that improve the short term predictions - but aren't necessarily optimal for long term results. Some weather models were stochastic, but most modern models are physics-based.

As with weather models, climate models start to fall down as you increase the resolution. To take an example, you can tell roughly how much rain there will be in Queensland on Monday, but it's more difficult to predict the rainfall in any particular town.

In the same way, if all you want is the mean global temperature in 2050, that's going to be much more accurate than say the mean temperature in January for 2050 or the mean temperature in Australia, although regional climate predictions are getting better.

So I hope that's explained things a bit better.

Having said that, there are models around that do both weather and climate.

Gizmo: Do you agree with the argument that the extra energy going into the atmosphere must be doing something rather than nothing?
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Soren
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Re: The 'assumptions' of climate science
Reply #12 - Nov 12th, 2010 at 7:25pm
 
In other words, weather is what is actually happening while climate is statistics of what has happened.

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Re: The 'assumptions' of climate science
Reply #13 - Nov 12th, 2010 at 9:02pm
 
Soren wrote on Nov 12th, 2010 at 7:25pm:
In other words, weather is what is actually happening while climate is statistics of what has happened.



Define what you mean by statistics. We use statistics for both weather and climate. For example , we could say that there is a 90% probability of rainfall in a certain place on a certain day - or we can say that the average temperature in October was say 19.5 degrees C - that's still weather.

Ok

Let's try another analogy. Weather is short term, climate is long term.

Let's say you make a paper (ok make it waxed paper) boat and drop it in the midstream of a large  flowing river on a calm day.

We can predict where the paper boat will be on the river  on a large scale resolution. It's a relatively simple calculation depending on the average flow rate of the river.

We can say that the boat will reach a certain point on the river within certain time limits. That's like climate modelling. (Low resolution, long term = climate)

OK, now for weather: There are lots of swirls in the river, so the exact position of the boat on the river will be somewhat difficult to predict at any given time. (High resolution, short term = weather)  
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Soren
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Re: The 'assumptions' of climate science
Reply #14 - Nov 12th, 2010 at 10:27pm
 
Weather is what we actually experince. We do not experience climate.


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Re: The 'assumptions' of climate science
Reply #15 - Nov 12th, 2010 at 10:39pm
 
muso wrote on Nov 12th, 2010 at 9:02pm:
Soren wrote on Nov 12th, 2010 at 7:25pm:
In other words, weather is what is actually happening while climate is statistics of what has happened.



Define what you mean by statistics. We use statistics for both weather and climate. For example , we could say that there is a 90% probability of rainfall in a certain place on a certain day - or we can say that the average temperature in October was say 19.5 degrees C - that's still weather.

 



I see you have been to muslim rhetoric school (couldn't resists).


'Define what you mean by statitics' - what silliness.  We may use stats for both weather and climate but stats does not cover all of the weather while it covers all of the climate. You don't take an umbrella in the morning on the basis of the average annual rainfall.



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Re: The 'assumptions' of climate science
Reply #16 - Nov 13th, 2010 at 7:49am
 
Soren wrote on Nov 12th, 2010 at 10:39pm:
muso wrote on Nov 12th, 2010 at 9:02pm:
Soren wrote on Nov 12th, 2010 at 7:25pm:
In other words, weather is what is actually happening while climate is statistics of what has happened.



Define what you mean by statistics. We use statistics for both weather and climate. For example , we could say that there is a 90% probability of rainfall in a certain place on a certain day - or we can say that the average temperature in October was say 19.5 degrees C - that's still weather.

 



I see you have been to muslim rhetoric school (couldn't resists).


'Define what you mean by statitics' - what silliness.  We may use stats for both weather and climate but stats does not cover all of the weather while it covers all of the climate. You don't take an umbrella in the morning on the basis of the average annual rainfall.



What was the temperature yesterday where you live? Was that a minimum a maximum or a mean temperature?

Everything is statistical about weather and climate. If you are saying that weather is somehow the instantaneous weather, then you're barking up the wrong tree. Weather is short term (high resolution), climate is long term(low resolution), and both have to be qualified in some way before they make sense. What was the barometric pressure in Queensland yesterday? What was the wind speed in Sydney yesterday. You might qualify those answers by giving a range. Apart from the past weather, you can provide a weather forecast. These are usually very accurate these days, but you can never say something like "There will be a sudden gust of wind in Paramatta tomorrow at 1:38"

 

The reason I asked you to define what you meant by statistics was not rhetorical. I wanted to know what you were really trying to say - that is if it's your original idea in the first place. Maybe you need to refer back somewhere to find out what it says your opinion is.

Didn't you understand the analogy I gave of the paper boat?

Quote:
Weather is what we actually experince. We do not experience climate.


The main population of Inuits in Alaska would take you to task if you tell them that they didn't experience the changing climate of the last 50 years.
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Soren
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Re: The 'assumptions' of climate science
Reply #17 - Nov 13th, 2010 at 8:16am
 
muso wrote on Nov 13th, 2010 at 7:49am:
Soren wrote on Nov 12th, 2010 at 10:39pm:
muso wrote on Nov 12th, 2010 at 9:02pm:
Soren wrote on Nov 12th, 2010 at 7:25pm:
In other words, weather is what is actually happening while climate is statistics of what has happened.



Define what you mean by statistics. We use statistics for both weather and climate. For example , we could say that there is a 90% probability of rainfall in a certain place on a certain day - or we can say that the average temperature in October was say 19.5 degrees C - that's still weather.

 



I see you have been to muslim rhetoric school (couldn't resists).


'Define what you mean by statitics' - what silliness.  We may use stats for both weather and climate but stats does not cover all of the weather while it covers all of the climate. You don't take an umbrella in the morning on the basis of the average annual rainfall.



What was the temperature yesterday where you live? Was that a minimum a maximum or a mean temperature?

Everything is statistical about weather and climate. If you are saying that weather is somehow the instantaneous weather, then you're barking up the wrong tree. Weather is short term, climate is long term, and both have to be qualified in some way.



Whether you take an umbrella or an extra jumper in the morning is not statistical in the least. It is a response to the weather. You do not take an umbrell because of mean or average annual rainfall - you are taking an umbrella because it is raining.

Get off the computer and get ou of the lab, muso, and smell the wet grass.

Quote:
Didn't you understand the analogy I gave of the paper boat?


'Don't you understand...?" - you speak as if your analogies were illuminating and if anyone doesn't find them so is somehow defficient in higher order thinking. As a matter of fact I find your paper boat analogy astonishingly simplistic or completly misplaced -one or the other. I am afraid it is no improvement on your ususal ratty analogies.

Unless of course you take away the paper boat and just tell us that there is a river that goes from here to there (climate) and has all sorts of eddies and rapids and whatnot along the way (weather). Then you would have an analogy of sorts. But as all AGW groupies, you have to go and add a totally superflous (!) toy paper boat!

The waxed paper boat is dropped in the water for no reason except to signify your urge to apply statistics to something. But it has now drawn our attention to itself, away from the mightiness of the river, and so the conjurer's tasks is completed - we are neither concerned with the river, nor its eddies but with a silly boat that is there only to give us soemthing to play with.

On seconds thought - I have understood your analogy, it's just that I think it is a better analogy for AGW propaganda than for anything else.






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Re: The 'assumptions' of climate science
Reply #18 - Nov 13th, 2010 at 9:04am
 
Soren wrote on Nov 13th, 2010 at 8:16am:
Whether you take an umbrella or an extra jumper in the morning is not statistical in the least. It is a response to the weather. You do not take an umbrell because of mean or average annual rainfall - you are taking an umbrella because it is raining.



In order to make sense out of anything, you need to apply some kind of statistical technique, even if it's just a total.

Quote:
Unless of course you take away the paper boat and just tell us that there is a river that goes from here to there (climate) and has all sorts of eddies and rapids and whatnot along the way (weather). Then you would have an analogy of sorts. But as all AGW groupies, you have to go and add a totally superflous (!) toy paper boat!

The waxed paper boat is dropped in the water for no reason except to signify your urge to apply statistics to something. But it has now drawn our attention to itself, away from the mightiness of the river, and so the conjurer's tasks is completed - we are neither concerned with the river, nor its eddies but with a silly boat that is there only to give us soemthing to play with.

On seconds thought - I have understood your analogy, it's just that I think it is a better analogy for AGW propaganda than for anything else.



The paper boat - It's a point of reference. That's all. It is impossible to describe position in that example without a point of reference, but I see that you understand the inference.

In terms of the groupies, the eccentrics, that's a hat that fits your own point of view.

In terms of the people who actually practice this science, I'm not telling you anything any more controversial than atmospheric physics. That's a pretty dry subject and physicists tend to be the most conservative of all scientists.
http://www.abelard.org/briefings/global_warming_atmospheric_chemistry_physics.ph...

There is a pretty useful spectrum on that site which I'll reproduce here. It clearly shows how Greenhouse gases absorb LW IR radiation. Which common atmospheric gases are absent from that diagram, and why?

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Re: The 'assumptions' of climate science
Reply #19 - Nov 14th, 2010 at 3:55pm
 
muso wrote on Nov 13th, 2010 at 9:04am:
In order to make sense out of anything, you need to apply some kind of statistical technique, even if it's just a total.



The paper boat - It's a point of reference. That's all. [/quote]


A point of reference for what? It's completely irrelevant to illustrating the difference between big poicture (river, climate) and detail (rapids, weather). How long the paper boat takes from here to there is utterly, utterly irrelevant to this illustration. You need absolutely no statistical point of reference to demonstrate the difference between seeing only a tree or the whole wood.






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Re: The 'assumptions' of climate science
Reply #20 - Nov 14th, 2010 at 4:55pm
 
Soren wrote on Nov 14th, 2010 at 3:55pm:
A point of reference for what? It's completely irrelevant to illustrating the difference between big poicture (river, climate) and detail (rapids, weather). How long the paper boat takes from here to there is utterly, utterly irrelevant to this illustration. You need absolutely no statistical point of reference to demonstrate the difference between seeing only a tree or the whole wood.



It's  an analogy. The position if the boat represents where we are at any given time. We can get a broad picture of where the boat is located at any given time quite easily by using some fairly simple calculations.

Once you narrow in on the position of the boat a higher resolution, the mathematics becomes more difficult - ok?

Let's drop it, because you clearly understand the difference.

Most climatic data is averaged over at least a 20 year period. If we take the temperature maps for Australia, you'll find very little difference over the last 50-100 years. For example:

...

and

...

As you can see - not much difference. Maybe a bit of an increase in most areas.  So blind Freddy can see that it's relatively easy to predict reasonably accurately what that chart will look like in another 20 years given a relatively steady state scenario.

No complex models needed.

However, if you try to predict what the precipitation in in Bankstown next Sunday, it's a far more difficult thing to do.

Given that we're talking about average global temperatures and precipitations, the argument that it's incredibly complex becomes silly.

Another analogy is predicting the shape of an baby elephant when it grows to adulthood. I think we agree that we could make a reasonably good prediction of that, however predicting the shape of the wrinkles in its skin would be extremely difficult by comparison.

High resolution=  weather; low resolution = climate.  

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Re: The 'assumptions' of climate science
Reply #21 - Nov 14th, 2010 at 9:35pm
 
muso wrote on Nov 14th, 2010 at 4:55pm:
High resolution=  weather; low resolution = climate.  




And it took you 3 pages and 5 graphs and 3 promptings to say that, like the good scientific advocate that you are.

No wonder AGW is a bloody turn off for people. They can't bloody stay awake.



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Re: The 'assumptions' of climate science
Reply #22 - Nov 15th, 2010 at 7:58am
 
Soren wrote on Nov 14th, 2010 at 9:35pm:
muso wrote on Nov 14th, 2010 at 4:55pm:
High resolution=  weather; low resolution = climate.  




And it took you 3 pages and 5 graphs and 3 promptings to say that, like the good scientific advocate that you are.

No wonder AGW is a bloody turn off for people. They can't bloody stay awake.



It's possibly a dry subject to those who can't follow scientific principles.

Now do we agree that CO2 is a greenhouse gas? Certainly without CO2 the planet would be much cooler, so it follows that it is a greenhouse gas. If we reduce the amount of CO2, the planet gets cooler (and I already brought up the mechanism - LW radiation etc).

If we increase the CO2, the planet gets warmer. The relationship is logarithmic.
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Re: The 'assumptions' of climate science
Reply #23 - Nov 15th, 2010 at 11:18am
 
In a slightly different vein, I'd like to ask your opinions about this Geoengineering idea that's being talked about...

Injecting Sulphur Dioxide into the upper Atmosphere to try and replicate the cooling that took place after Mount Pinatubo erupted...

http://online.wsj.com/article/SB10001424052970204771304574181522575503150.html

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It's similar to a strawman fallacy"
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Re: The 'assumptions' of climate science
Reply #24 - Nov 15th, 2010 at 12:00pm
 
The one that's usually proposed is injecting sulphates into the upper atmosphere using commercial jets.

My own perspectives on this are:

1. It would certainly result in a cooling effect, but would probably be more expensive than transitioning to carbon neutral technologies - and that's something we'll be forced to do anyway (in the case of oil) as demand for oil exceeds supply.  Maybe we'll need to do that as a last resort.

2. It would do nothing for Ocean acidification. We'll still be faced with decreasing calcification in many economically important marine organisms.

In terms of using oil for fuel, we're in great danger of depleting supplies of coal and oil for the manufacturing of petrochemicals, including plastics. Oil should be used for that purpose while we still can, so there is a great advantage in maintaining coal and oil reserves.
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Re: The 'assumptions' of climate science
Reply #25 - Nov 15th, 2010 at 12:15pm
 
muso wrote on Nov 15th, 2010 at 12:00pm:
The one that's usually proposed is injecting sulphates into the upper atmosphere using commercial jets.

My own perspectives on this are:

1. It would certainly result in a cooling effect, but would probably be more expensive than transitioning to carbon neutral technologies - and that's something we'll be forced to do anyway (in the case of oil) as demand for oil exceeds supply.  Maybe we'll need to do that as a last resort.

2. It would do nothing for Ocean acidification. We'll still be faced with decreasing calcification in many economically important marine organisms.

In terms of using oil for fuel, we're in great danger of depleting supplies of coal and oil for the manufacturing of petrochemicals, including plastics. Oil should be used for that purpose while we still can, so there is a great advantage in maintaining coal and oil reserves.


Sulphates I could understand (well some sulphates anyway), but Sulphur Dioxide would have a detrimental effect on the ozone layer, not to mention acid rain and damage to the food chain.
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"I just get sick of people who place a label on someone else with their own definition.

It's similar to a strawman fallacy"
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