Eat that GW believers!

Discuss life, the universe, and everything with other members of this site. Get to know your fellow polywell enthusiasts.

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Skipjack
Posts: 6897
Joined: Sun Sep 28, 2008 2:29 pm

Post by Skipjack »

Scary.
Indeed!
The thing is that we have to make these guys shut up somehow. The best way is to provide a clean and cheap energy source. This is why I am on this board. I am a believer (not literally) in the possibility of a technical solution for every problem (or made up problem) that mankind can face. If we have not found that solution, then just have not tried hard enough.
I hope that polywell can be the solution to our energy problems, whether they are availability of fossile fuels, or AGW (or made uo AGW), or both, or just simply too high prices for fossile fuels due to speculation.
So lets hope the best for Rick and his team.

mad_derek
Posts: 46
Joined: Tue Jan 08, 2008 4:08 am
Location: UK (mostly)

Post by mad_derek »

Yes, well, I spend my time lurking here.

I am beginning to be quite annoyed with the lack of application. There have been several attacks on the analysis of Darwin Airport temperature figures but very little independent analysis. The data is freely available. Having downloaded the raw and adjusted data it is clear that the adjustments are odd to say the least. It is also clear that some critiques of the data choose to emphasize e.g. slope of 'cherry picked' data to emphasize particular points.

It is clear from the data that there is an anomoly around 1941. This can be readily dealt with by applying the methodology suggested by many climate scientists - ensure that the pre and post anomoly trends match at the anomoly point.

If one carries out this exercise the following result is readily available. http://www.mediafire.com/file/ev3ngzz0z ... tures_blah (3).xlsx This took less than one man day.

There appear to be only 7280 stations. It surely cannot be beyond our ability to deploy under 7280 man days to check the (monthly) figures which are available in the public domain.

Kind Regards,
Derek
Insanity Rules!

Josh Cryer
Posts: 526
Joined: Sun Aug 31, 2008 7:19 am

Post by Josh Cryer »

MSimon, per-capita US emissions are the only ones that are going down (yes that is due to lots of immigration, but it is also due to wind and the new nuclear we are building; the US may not build a new coal plant ever again! Crazy!). But yes I completely agree with you about China, and the policies between China and US/EU. So no one has to worry about a $100 trillion investment. But if you live in coastal regions you may want to tell your children and grand children to sell your property once you're long gone, and get out of doge. Housing prices would surely drop.

I'm not going to list a whole thing of "contradictory" weather patterns (that aren't so "cool") because it'd just be silly. Local events do not represent global actions.

http://planetark.org/enviro-news/item/56116
SYDNEY - Pacific Ocean temperatures remained at levels typical of a drought-bringing El Nino weather pattern, Australia's Bureau of Meteorology said on Wednesday.

The bureau said in its latest fortnightly report that central Pacific Ocean surface temperatures are now at their warmest level since the El Nino of 1997-98, exceeding temperatures observed in both the 2002-03 and 2006-07 events.
I am hoping with earnest that the solar minimum doesn't end, because at least then, when this coming summer happens, people will be allowed to think about the root cause of the catastrophic El Nino we are likely to experience, rather than have the process obfuscated by people with agendas.
What is done is parameterization. Which is not he same thing as running a full Navier-Stokes on the atmosphere.
You can't run a "full Navier-Stokes" on bathwater. You don't need perfect, exact, simulations, just statistically significant simulations. The satellite record was disjoint from models for years there, it turned out the satellite data was being analyzed wrong, and that the models were correct. That's what statistical significance gets you. (Of course we can go off on a conspiracy about how the reconciliation was just data fudging because the scientists wanted to make shit up, or you could read the papers.)
Let me add that without temperature data they have no initial conditions. Nor do they have any way to verify the models. Of course if the models initialized and verified against bad data.....
The models start with a clean atmosphere and CO2 is pulsed in, so you are going to start with cool temperatures no matter what. Hell, most of the problem is that many of you believe that older data is more accurate than newer data. The initialization step should be of no concern to you.
Now if the best way to find out what Polywell does (simple, well defined, isolated) is to build one, what hope is there that at the current state of computing and understanding we can model a system at least 1,000,000X more complicated?
Once the fundamental operating behavior of a Polywell is understood an accurate generalized model can certainly be built (and they will be if it works, in order to improve the system without building dozens of custom builds to test various outputs; the main problem behind Polywell is that we can't yet build an equation to say "this is how it works"). We do this with nuclear reactors (and we do this with nuclear bombs). Yes, the atmosphere is a lot more complicated. We need better satellite data to be able to narrow it down. This is why I mentioned CLARREO, because it covers everything, clouds, temperature, albedo, everything to do with radiation in/out of the planet. You can make a model simply based on the data it produces (less temperature measurements). Too bad it won't come online until 2016 and our models probably won't incorporate its data until 2020-2025. I do like that the CLARREO scientists do call its potential data "irrefutable" though, they really hype the scientific process. :)

Obama is proposing to increase NASAs budget (first time in quite awhile, Bush gave them a new agenda but no significant new money, funny that), and I hope it allows for CLARREO to be pushed up to something like 2014.
And the biggest joke of all? The best near term hope for eliminating coal fired plants is Polywell or something like it. And its biggest proponents are AGW sceptics.
Polywell, or magical replication machines that make the cost of a 5GW wind turbine a couple of thousand bucks as opposed to the millions they cost now (I put them in the same category because I think they're both about as likely). But yes, I do think AGW skeptics could actually gain something by using AGW to hype Polywell. I know you guys were ambivalent about it on The Space Show (I understand your position), but even Bussard mentioned using Polywell to sequester CO2, and he was also a skeptic. I don't think it's a failing strategy, consider Roger Fox, I believe he has mentioned that virtue of Polywell in the past. And if you want to maintain integrity, you could always preface it with "I don't believe the evidence supports AGW, but if you believe it does, Polywell would be a solution, but it would also be a solution for cheap clean electricity all around, anyway."

Of course, this is if it works, and all. I have a feeling you would have no problem trumpeting it in that manner. ;)

(We'll still have the greens / radicals / idiots to deal with about the evil "nuclear" power and how it can "kill us all.")
http://eureferendum.blogspot.com/2009/1 ... g-off.html (belief in AGW in the US falls below 50% among likely voters)
It's worse than that, 6 in 10 of them have "strong disagreements with scientists" over global warming. Depressing. Granted, we haven't been a scientifically inclined society in decades, so it's no real surprise.








TallDave,
Yes they are, the models have to be built against something. Typically CRU data has been used.
The models are built against known physics, not raw temperature data that they manage to match because physics doesn't lie.
Making code available is called "the scientific method."
I discovered The University of Boulder makes their model available, it's the best that I could find (there are many toy models but this is hard core stuff): http://www.ccsm.ucar.edu/models/atm-cam/

Disseminate it to your masses! Please provide bug support! (Going to play with it over these holidays, now that I discovered it.)

BTW, here's the GISS model: http://aom.giss.nasa.gov/

I think I gave you this link before: http://www.giss.nasa.gov/tools/

Oh and your complaints about GISSTEMP not working for you? Someone went and got it working on Linux computers: http://www.rhinohide.cx/co2/gistemp/

BTW, all government funded groups in America must make code that they produced public domain (this is different from contracting out code; they must make code that they themselves made public domain).
I did realize [that I posted a link that you already posted].
OK.
Now that's denialism. You cannot adjust temperatures using dissimilar stations more than a thousand miles away.
If a station moves from a hot metal roof to a cool grassy field you can (and should), otherwise the data diverges and fails to represent a continuous trend. Only an unscientific scoundrel would say keep the temperature the same. There is no evidence that the station in question underwent the adjustments claimed. This is the same as the USHCN TOD adjustments, which everyone went suspiciously quiet over when it was explained they went from measuring at PM to AM and had to adjust upward to recognize trends.
There's nothing in the methodology that allows those adjustments.
I suppose station move adjustments aren't in the methodology (they are).
There is actually more sea ice in the Antarctic, and Arctic sea ice disappeared in the 1930s as well.
Total ice mass is down since 2001 in both places (assume Arctic here also includes Greenland). Now, you trust 1930s sea ice extent data (we didn't have satellites), and presumably temperatures (since that's where a lot of the data is derived from), but you can't trust temperatures between then and now for some reason. It's well known that the Arctic was on a 50 year cycle of sea ice extent, however, we know that this cycle is already broken because we've went through the 50 year cycle once already and the Arctic should be well on its way to growing again.

Note to mention that in 1930 global temperatures weren't as they are now. But, you throw out the temperature data, so, what can I say.
This is just ignorance. Hurricane activity has actually fallen off the charts.
Intensity is up. The number of hurricanes is irrelevant. But there's still a lot of uncertainty with regards to hurricanes per-say. http://www.wmo.int/pages/prog/arep/tmrp ... tement.pdf

Note the lax last few hurricane seasons is because we were finishing up our ENSO cycle. If El Nino behaves as expected next years hurricane cycle is going to be to be pretty interesting.

The movement of hardiness zones is one clue for extreme weather patterns, and the melting of ice is another. Yeah, I was being redundant.
Again, this is just ignorance. The amount of money spent by AGWers is larger by orders of magnitude.
Hey, I included idiots in there, too.
and remember, what matters isn't what models predict in 10 years, it's the disaster they predict way out in the future
The modelers aren't shy in admitting that clouds are fairly unknown, but we're learning more. What we do know is that they can have a positive or a negative feedback. They don't necessarily destroy the models, though.

And if we're going to discuss Spencer, let me link this RC article about his cloud theory: http://www.realclimate.org/index.php/ar ... y-lessons/

Note that this is the first time in quite a few posts that I have either mentioned RC or used anything from their site, because I'm afraid you are too biased to read it; I find WUWT unscientific garbage, but I am reading you guys links to there. The linked article here is actually quite a fantastic overview of graph cooking in any case.
So, in 2015, when the older models are predicting way too much warming, we'll get new models that predict only a little warming in the near future... and so on, and so on.
I don't see them changing much because they did not change significantly from 1991 to 2001, the confidance interval just got bigger.





mad_derek, they moved the station from a hot roof to a cool grassy area. They could theoretically take the hot data from the roof and just make it cooler (leaving the cool data, on the grass, alone); the trend will still exist. Frankly I believe that is what they should do with all the data, it would of course cause a huge uproar within the community because you're "changing all of the temperatures around!" but the trend would, again, still exist. There would still be a rise in temperature over that time, though the final temperature would be lower than it is now, the average temperature increase would be identical. It's all about perception with many people.

It does not look like they applied station to station homogenization processes to Darwin as is the poorly made insinuation.

edit: silly me, my comment to you seems really stupid now (though you may not have known they moved it from a roof to a grassy area). It seems you are on the ball with this (your Excel file was pretty big so I commented before viewing).

If you don't mind I'll post your image here: http://i45.tinypic.com/o50ox2.png

And your link was broken so here's the fixed one (won't let me link it, stupid phpBB2):

Code: Select all

http://www.mediafire.com/file/ev3ngzz0zom/Temperatures_blah%20(3).xlsx
Science is what we have learned about how not to fool ourselves about the way the world is.

Jccarlton
Posts: 1747
Joined: Thu Jun 28, 2007 6:14 pm
Location: Southern Ct

Post by Jccarlton »

Josh Cryer wrote:
What is done is parameterization. Which is not he same thing as running a full Navier-Stokes on the atmosphere.
You can't run a "full Navier-Stokes" on bathwater. You don't need perfect, exact, simulations, just statistically significant simulations. The satellite record was disjoint from models for years there, it turned out the satellite data was being analyzed wrong, and that the models were correct. That's what statistical significance gets you. (Of course we can go off on a conspiracy about how the reconciliation was just data fudging because the scientists wanted to make shit up, or you could read the papers.)
Let me add that without temperature data they have no initial conditions. Nor do they have any way to verify the models. Of course if the models initialized and verified against bad data.....
The models start with a clean atmosphere and CO2 is pulsed in, so you are going to start with cool temperatures no matter what. Hell, most of the problem is that many of you believe that older data is more accurate than newer data. The initialization step should be of no concern to you.
Now if the best way to find out what Polywell does (simple, well defined, isolated) is to build one, what hope is there that at the current state of computing and understanding we can model a system at least 1,000,000X more complicated?
Once the fundamental operating behavior of a Polywell is understood an accurate generalized model can certainly be built (and they will be if it works, in order to improve the system without building dozens of custom builds to test various outputs; the main problem behind Polywell is that we can't yet build an equation to say "this is how it works"). We do this with nuclear reactors (and we do this with nuclear bombs). Yes, the atmosphere is a lot more complicated. We need better satellite data to be able to narrow it down. This is why I mentioned CLARREO, because it covers everything, clouds, temperature, albedo, everything to do with radiation in/out of the planet. You can make a model simply based on the data it produces (less temperature measurements). Too bad it won't come online until 2016 and our models probably won't incorporate its data until 2020-2025. I do like that the CLARREO scientists do call its potential data "irrefutable" though, they really hype the scientific process. :)

Obama is proposing to increase NASAs budget (first time in quite awhile, Bush gave them a new agenda but no significant new money, funny that), and I hope it allows for CLARREO to be pushed up to something like 2014.
And the biggest joke of all? The best near term hope for eliminating coal fired plants is Polywell or something like it. And its biggest proponents are AGW sceptics.
Polywell, or magical replication machines that make the cost of a 5GW wind turbine a couple of thousand bucks as opposed to the millions they cost now (I put them in the same category because I think they're both about as likely). But yes, I do think AGW skeptics could actually gain something by using AGW to hype Polywell. I know you guys were ambivalent about it on The Space Show (I understand your position), but even Bussard mentioned using Polywell to sequester CO2, and he was also a skeptic. I don't think it's a failing strategy, consider Roger Fox, I believe he has mentioned that virtue of Polywell in the past. And if you want to maintain integrity, you could always preface it with "I don't believe the evidence supports AGW, but if you believe it does, Polywell would be a solution, but it would also be a solution for cheap clean electricity all around, anyway."

Of course, this is if it works, and all. I have a feeling you would have no problem trumpeting it in that manner. ;)

(We'll still have the greens / radicals / idiots to deal with about the evil "nuclear" power and how it can "kill us all.")
http://eureferendum.blogspot.com/2009/1 ... g-off.html (belief in AGW in the US falls below 50% among likely voters)
It's worse than that, 6 in 10 of them have "strong disagreements with scientists" over global warming. Depressing. Granted, we haven't been a scientifically inclined society in decades, so it's no real surprise.








TallDave,
Yes they are, the models have to be built against something. Typically CRU data has been used.
The models are built against known physics, not raw temperature data that they manage to match because physics doesn't lie.
Making code available is called "the scientific method."
I discovered The University of Boulder makes their model available, it's the best that I could find (there are many toy models but this is hard core stuff): http://www.ccsm.ucar.edu/models/atm-cam/

Disseminate it to your masses! Please provide bug support! (Going to play with it over these holidays, now that I discovered it.)

BTW, here's the GISS model: http://aom.giss.nasa.gov/

I think I gave you this link before: http://www.giss.nasa.gov/tools/

Oh and your complaints about GISSTEMP not working for you? Someone went and got it working on Linux computers: http://www.rhinohide.cx/co2/gistemp/

BTW, all government funded groups in America must make code that they produced public domain (this is different from contracting out code; they must make code that they themselves made public domain).
I did realize [that I posted a link that you already posted].
OK.
Now that's denialism. You cannot adjust temperatures using dissimilar stations more than a thousand miles away.
If a station moves from a hot metal roof to a cool grassy field you can (and should), otherwise the data diverges and fails to represent a continuous trend. Only an unscientific scoundrel would say keep the temperature the same. There is no evidence that the station in question underwent the adjustments claimed. This is the same as the USHCN TOD adjustments, which everyone went suspiciously quiet over when it was explained they went from measuring at PM to AM and had to adjust upward to recognize trends.
There's nothing in the methodology that allows those adjustments.
I suppose station move adjustments aren't in the methodology (they are).
There is actually more sea ice in the Antarctic, and Arctic sea ice disappeared in the 1930s as well.

and remember, what matters isn't what models predict in 10 years, it's the disaster they predict way out in the future
The modelers aren't shy in admitting that clouds are fairly unknown, but we're learning more. What we do know is that they can have a positive or a negative feedback. They don't necessarily destroy the models, though.

And if we're going to discuss Spencer, let me link this RC article about his cloud theory: http://www.realclimate.org/index.php/ar ... y-lessons/

Note that this is the first time in quite a few posts that I have either mentioned RC or used anything from their site, because I'm afraid you are too biased to read it; I find WUWT unscientific garbage, but I am reading you guys links to there. The linked article here is actually quite a fantastic overview of graph cooking in any case.
So, in 2015, when the older models are predicting way too much warming, we'll get new models that predict only a little warming in the near future... and so on, and so on.
I don't see them changing much because they did not change significantly from 1991 to 2001, the confidance interval just got bigger.





mad_derek, they moved the station from a hot roof to a cool grassy area. They could theoretically take the hot data from the roof and just make it cooler (leaving the cool data, on the grass, alone); the trend will still exist. Frankly I believe that is what they should do with all the data, it would of course cause a huge uproar within the community because you're "changing all of the temperatures around!" but the trend would, again, still exist. There would still be a rise in temperature over that time, though the final temperature would be lower than it is now, the average temperature increase would be identical. It's all about perception with many people.

It does not look like they applied station to station homogenization processes to Darwin as is the poorly made insinuation.

edit: silly me, my comment to you seems really stupid now (though you may not have known they moved it from a roof to a grassy area). It seems you are on the ball with this (your Excel file was pretty big so I commented before viewing).

If you don't mind I'll post your image here: http://i45.tinypic.com/o50ox2.png

And your link was broken so here's the fixed one (won't let me link it, stupid phpBB2):

Code: Select all

http://www.mediafire.com/file/ev3ngzz0zom/Temperatures_blah%20(3).xlsx
You don't know much about computer models if you think that initial conditions are unimportant. From what I have seen the computer models use a parameter set of equations in a finite difference method. Ok so far. But if the modeler starts to use his own predjudices to enter parameters then the model becomes an artifact of the modeler and not an accurate representation. Been there done that(by accident.) The climate cabal seems to be doing it on purpose.

As for the posting about Spencer from real climate, well the posting is a perfect illustration how the climate cabal uses swear tactics and innuendo to replace actual science. It's amazing how quickly that the comments on the post devolved into character assassination and suggestions that climate skeptics and Spencer in particular had psycological problems.

MSimon
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Post by MSimon »

per-capita US emissions are the only ones that are going down (yes that is due to lots of immigration, but it is also due to wind and the new nuclear we are building

Wind amounts to what? .5% in the USA. According to this:

http://en.wikipedia.org/wiki/Wind_power

It is 1.5% world wide. And another interesting fact from the link:
Because so much power is generated by higher wind speed, much of the energy comes in short bursts. The 2002 Lee Ranch sample is telling;[9] half of the energy available arrived in just 15% of the operating time. The consequence is that wind energy from a particular turbine or wind farm does not have as consistent an output as fuel-fired power plants; utilities that use wind power provide power from starting existing generation for times when the wind is weak thus wind power is primarily a fuel saver rather than a capacity saver.
So we still have to build coal plants and gas turbines etc. equal to the desired load service. What we do is to run them less intensively or less frequently thus raising the cost of power.

So is wind cutting American consumption of fossil fuels? If so it is not by much. The recent economic decline has had a much larger (if temporary) effect.

The experience in Europe is that because of the intermittent nature of AE you can get it up to a maximum of around 10% to 20% of grid power before reliability is impacted.

And the Spanish experience is that every "Green Energy" job costs two jobs in the overall economy due to the higher costs of such energy. Both Germany and Spain have cut AE subsidies to zero or near zero because it is unaffordable. Leading to a glut of solar cells (among other things).
Engineering is the art of making what you want from what you can get at a profit.

Skipjack
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Post by Skipjack »

As I said before, the only "green" energy source that can make sense is water. We are using it here in Austria (since we have favorable geological conditions for that) and it works pretty well...to some extent.
In winter it is a problem. Unfortunately solar energy does not work in winter either, unless you live in Arizona, or some place like that ;)
Even Texas had its share of snow and nasty weather this time, from what I heard. But you need to have at least a certain number of sunny days to benefit from solar power.
So where does our winter power come from? Nuclear, mostly and some coal.
Solar power makes sense in the desert or some place where the sun shines A LOT. But how much of the world is that?
Nope the only solution is nuclear power and lots of it. If it is fusion, then even better, but we have to plan for the possibility that it wont be available.

Josh Cryer
Posts: 526
Joined: Sun Aug 31, 2008 7:19 am

Post by Josh Cryer »

MSimon, on the models I posted to TallDave you can get the inputs they use, if you want, particularly the one from the University of Boulder. The same goes for the GISS models. And before anyone points it out, I wanted to add, that yes, the GISS ModelE is missing some small stuff, but that is obviously because papers have not been written yet for them, expect those parts of the code to be released *after* the paper. It may be compulsory to release all government funded code to the public domain, but all researchers are allowed a grace period to get their papers finished and published (and any corrections made). I expect a year before the GISS improved ModelE is included in AR5, we will see the code.

By then perhaps someone like Robert will make it available on Linux (and possibly Windows or OSX platforms), so there isn't a lot of trouble building the models and running them. (Good luck getting the computing power, though.)

Wind is growing very quickly thanks to loan guarantees: http://climateprogress.org/2009/05/18/e ... le-energy/

It's closer to 2% USA, but the numbers aren't quite in yet. But yeah, gas turbines are going to have to be built (though I feel storage should be built). But so far coal is not on the horizon in the US.

OECD coal consumption is essentially flat: http://www.eia.doe.gov/oiaf/ieo/coal.html
Science is what we have learned about how not to fool ourselves about the way the world is.

MSimon
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Post by MSimon »

You can't run a "full Navier-Stokes" on bathwater. You don't need perfect, exact, simulations, just statistically significant simulations.
Not a bad idea. All that is required is statistically significant data.

In any case Josh, I see you are no longer touting the line that the models are based on physics/chemistry. I agree. They are based on statistical simulations. i.e. pattern matching. We will assume x for clouds, y for the sun, z for the e-folding time of the oceans, q for UV from the sun, etc. All within currently accepted limits for those parameters. etc. etc. But it is a load. Because every model uses different numbers. Why? Because NO ONE knows the correct numbers to sufficient accuracy. And then the modelers tune the models to match what they think past patterns were. i.e. a little less CO2 a little more UV and voila - WE HAVE A MATCH.

It is as if you tried to tell me you understand physics well and then tell me F= between .9 and 1.1 ma or E = mc^1.5 to mc^2.5 - love to see an atom bomb designed on that basis. Or even a more benign nuke plant. Or an automobile.

Now if you went out tomorrow and said you could predict the stock market based on pattern matching you would be laughed out of town. Pattern matching can work. For a while. And then you get some chaotic event that does not match previous patterns and your investing gets tanked.

You might find this amusing re: economic forecasts -

http://en.wikipedia.org/wiki/Black%E2%8 ... oles_model

And then things diverge. For instance no model predicted the last ten years of essentially flat temps. Why? Well the models were built on the basis that all unknown forcings were man made CO2. Evidently that is not true. CO2 is not as significant as the modelers assumed.

That is what pattern matching with assumptions gets you.

And if the Russians are correct we will be seeing a little ice age. The deepest cold coming around 2055 to 2060.

http://powerandcontrol.blogspot.com/200 ... vices.html

Well any way. What ever statistical significance was assigned to the models is irrelevant if the model predictions are wrong.

Where did the modelers go wrong IMO? They matched to a positive PDO/AMO and assigned PDO/AMO heating to CO2. Then those ocean cycles went negative. Ooooooops.

I expect all this will get sorted once we get deeper into the coming ice age.

And why must the models be statistical in essence? Because weather/climate is a non linear coupled chaotic system. What does that mean? Long term prediction is impossible.

We do have a few mysteries to solve first. Start with the Maunder minimum. Sunspots were low. And yet a decline of solar output of .1% is not enough to explain it. So was the mechanism solar other than TSI? Or something else?

So I tell you what. I will believe climate scientists understand climate well enough when they get the Maunder Minimum figured out. They will have to deal with the Roman Optimum and the Medieval Warm as well.

After all if you can't explain the past how can you have a hope of predicting the future?
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MSimon
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Post by MSimon »

Hell, most of the problem is that many of you believe that older data is more accurate than newer data.
Not true. The old data has been adjusted colder to make the previous 30 year warming appear exceptional.

But let me say this: old data suffers from inadequate sampling and instrument accuracy (not to mention min/max problems). Recent data suffers from UHI and data manipulation. And instrument placement problems.

http://surfacestations.org/

Did I mention that 100 year old ocean sampling has problems?

Tell you what though. We can start with 10,000 accurate measurements properly distributed over the earth from 0000 GMT Jan 1, 1900 and go forward from there. Or we could get sloppy and accept 1,000 measurements properly distributed over the land and oceans.

Then raise their temps by .1 deg C and rerun the model(s). To give us some idea of sensitivity to initial conditions.
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MSimon
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Post by MSimon »

But so far coal is not on the horizon in the US.
http://www.netl.doe.gov/coal/refshelf/ncp.pdf

But it doesn't matter. Because of two five letter words:

China, India.
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MSimon
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Post by MSimon »

Once the fundamental operating behavior of a Polywell is understood an accurate generalized model can certainly be built
If we had one of those for climate every model would be using the same numbers and parameterizations.

You aren't going to claim that are you?

I have been involved in electric motor simulations. There are not fifteen different models. Heck there are not even two. There is one.
Engineering is the art of making what you want from what you can get at a profit.

MSimon
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Post by MSimon »

I don't see them changing much because they did not change significantly from 1991 to 2001, the confidance interval just got bigger.
Yeah. And it is too bad. They could have had some better predictions if they had included the PDO/AMO which were discovered in 1997. Because all the old models will be revised to include PDO/AMO etc. That will fix them to account for the current cooling. However as I understand it they will not weaken CO2. Instead the PDO/AMO will be made strong enough to overcome CO2 in the negative phase.

Which will allow the modelers to predict catastrophe when those currents go positive again. Pretty convenient.

You have to understand that the models are not scientific tools. They are political/funding tools. Because catastrophe = funding.

Think of an outfit like Greenpeace. Are they going to send out mailings saying that things are not too bad and getting better? Or are they going to tell interested parties: things are bad and getting worse. Polar bears are dying. In record numbers (will they mention record populations as the reason for the higher death numbers?).

Suppose the Climate Guys said: it is 90% to 99% natural. There goes the Climate Cartel's gravy train.

BTW the UEA recently released a bunch (not all) of code and data they had been sitting on for years. If the science is open why did they stall the release?

We are still awaiting the release of exact adjustment methods.
Engineering is the art of making what you want from what you can get at a profit.

TallDave
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Post by TallDave »

The models are built against known physics, not raw temperature data that they manage to match because physics doesn't lie.
Ha, the physics aren't known well enough to model even things like the monsoons. They throw some code at the problem, then they try to validate the code against CRU to get a correlation on the temperature variable for the known temperatures. Then they spit out future predictions of the temperature variable.
BTW, here's the GISS model:
I don't think you quite understand the problem. Much of GISS comes from GHCN -- which is not released. Without knowing what GHCN already did to the raw data, GISS code isn't that helpful.
Oh and your complaints about GISSTEMP not working for you?
I never complained it didn't work. I said it was incomplete.
BTW, all government funded groups in America must make code that they produced public domain (this is different from contracting out code; they must make code that they themselves made public domain).
Yes, in America we practice actual science. That's probably why we have the fewest people taking AGW seriously.
If a station moves from a hot metal roof to a cool grassy field you can (and should),
No, you shouldn't, for the obvious reason that temps over 1,000 miles away are likely to be completely different.
This is the same as the USHCN TOD adjustments, which everyone went suspiciously quiet over when it was explained they went from measuring at PM to AM and had to adjust upward to recognize trends.
TOD seems way too convenient an excuse. Are we really supposed to believe the TOD trend is so much stronger than the UHI trend that the net adjustment is positive? (And even if that's true, that means TOD corrections are large compared to observed warming, which means -- again -- gigantic error bars. Who here thinks they did a detailed analysis of what exactly the TOD correction should be for each unique situation?) And now the Russians are saying warming was added to their records, too.
They don't necessarily destroy the models, though.
They don't need to, they only need to limit the positive feedbacks.
Note that this is the first time in quite a few posts that I have either mentioned RC or used anything from their site, because I'm afraid you are too biased to read it;
RC is explicitly advocating AGW, on the taxpayer's dime. It should be sued out of existence on that basis alone. But I'm open to reading it, as long as we don't have to pretend they're the least bit objective.

In this case, I'm not impressed with sneery criticisms of graphs from people who wholeheartedly endorsed Mann's invention of a hoaxey stick using the inverted Tiljander series, discredited bristlecones, the debunked Yamal series, and bad principal component analysis.

----

If this were just some esoteric academic debate, this would all be fine and no one would care. But this is the basis for spending trillions of dollars. Due diligence must be done. A prospectus this weak involving mere millions would be laughed off of Wall Street.

mad_derek
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Post by mad_derek »

Josh Cryer:

Thanks for your edit and fixing the link. I did try checking it after I posted and it appeared to work - sorry about that.

Yes - I assumed they moved the station to a cooler location hence the downward correction of the preceding data. I posted the whole workbook so people could see exactly what was done and how it compared to the raw and adjusted data as published.

Derek
Insanity Rules!

Josh Cryer
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Post by Josh Cryer »

Jccarlton, oh, part of my previous response to MSimon was intended for you, sorry. About Spencer, please don't pretend that you don't get similar chastisement on "warmists" in WUWT comments. I do believe it was you who attempted to discredit several climate scientists here.



MSimon,
Not a bad idea. All that is required is statistically significant data.
Indeed, a PS3 could probably simulate bathwater very accurately. It just couldn't get a couple of dozen random drops of food coloring and a baseball dropped in correct.
In any case Josh, I see you are no longer touting the line that the models are based on physics/chemistry. I agree. They are based on statistical simulations. i.e. pattern matching.
That's simply not true MSimon. The statistical results are based upon running a dozen different models, produced by different scientists, all using known physics.
Because every model uses different numbers. Why? Because NO ONE knows the correct numbers to sufficient accuracy.
I learned early on as a kid when I was in to magic how to flip a coin without it actually flipping, it just wobbles. Very simple trick, most people miss it. I even know how to make it have a distinct ting sound so it sounds really impressive, as if the coin is really flipping (it's only wobbling very fast around its central axis, it even looks like a flip).

So, we know that there is a method to screw up a coin flip (and it surely got many a sucker over the decades), how do we trust that a coin flip analysis is correct?

We have a dozen people all flip coins! Assuming they are all not doing the wobble trick, the statistics will come out 50/50, as one would expect mathematically. What you (and the whole of denialist circles) are trying to have me believe is that all scientists are doing the wobble trick on climate models, on climate data, on so many distinct aspects of AGW evidence.

This is impossible for me to believe, as a skeptic such a claim would be (and is) extraordinary, and therefore it requires extraordinary evidence. The best people can come up with are private emails that indicate nothing nefarious outside of guys annoyed with the politics of climate change.

That is the beauty of science, one guy could be doing the wobble trick with the data, but someone else will surely come out and discover the truth. And we know this is especially true when the data, both raw and adjusted, is freely available for analysis.

If GISS was wobbling the data, then it would be so obvious anyone who knew how to use Excel could prove it. This is not the case.
And then the modelers tune the models to match what they think past patterns were. i.e. a little less CO2 a little more UV and voila - WE HAVE A MATCH.
What! They don't do that. The initial inputs are based on observations, they even use similar initialization methods.

http://www-pcmdi.llnl.gov/projects/cmip/index.php

You're arguing that modelers have intuited similar results through pattern matching, when the real reason the models represent the temperature data is that the temperature data has been made statistically significant, and the models are statistically good. Remember, the models found errors in satellite measurement data. The models kept saying "the upper atmosphere should warm!" The satellite data disagreed. It turned out that the satellite data was broken.
For instance no model predicted the last ten years of essentially flat temps. Why?
Flat temps? There ya go again picking small data sets out of larger ones. The last ten years were some of the hottest on record. So now are you trusting the temperature data or are you saying it's broken? You cannot have it both ways, man.
They matched to a positive PDO/AMO and assigned PDO/AMO heating to CO2.
The modelers frick up sea ice melt big time, yes. ;)
I will believe climate scientists understand climate well enough when they get the Maunder Minimum figured out.
Climate scientists have long attributed solar variation to climate. Now that's something that the models most certainly cannot predict to any statistical degree. But they do include it as a cyclical phenonema (GISS may have the highest temperatures of all the models because it includes it).
After all if you can't explain the past how can you have a hope of predicting the future?
There is less data, and a lot of uncertinity in the past. Put CLARREO up. Then complain about data accuracy and sampling and all that foldera.
Not true. The old data has been adjusted colder to make the previous 30 year warming appear exceptional.
No it hasn't, the vast majority of early measurements are baselined at zero. They *should* render them negative, and leave current measurements alone (that way you can't claim that they're "warming" things). But managing trend lines seems to be lost on you guys. I am glad mad_derek here understands it all.
Recent data suffers from UHI and data manipulation. And instrument placement problems.
Now you're just spreading disinformation, establish this claim please. Without us having to go into circles and my having to explain trend management.
Fair enough, but look at MW installed there...
If we had one of those for climate every model would be using the same numbers and parameterizations.
Being redundant, addressed this.
I have been involved in electric motor simulations. There are not fifteen different models. Heck there are not even two. There is one.
You can computationally model an electric motor.
You have to understand that the models are not scientific tools. They are political/funding tools. Because catastrophe = funding.
Then our capitalist system has frick us. Oh wait, the two main contributors of data are guaranteed funding regardless (particularly because their data isn't just used for global climate trends but also for weather).
Suppose the Climate Guys said: it is 90% to 99% natural. There goes the Climate Cartel's gravy train.
It is natural. (A consequence of an intelligent but medium tech civilization).

Suppose they said that humans weren't causing it, you mean?

Then they would have to have a scientific explination for it that removes human behavior from the equation. The denalists grasp to PDO, to solar variation, and even to clouds and cosmic rays. None of these alternate theories stand up to scrutiny. Think of better ones.

The scientists are open to such an improvement of our understanding. (Though you think they are all wobblists.)
BTW the UEA recently released a bunch (not all) of code and data they had been sitting on for years. If the science is open why did they stall the release?
EU (ESA) is sitting on hundrds of GB of satellite data that they won't release. As I said before, I believe this is the EU "Oxford School" mentality. I don't like it as much as you.

The US copyright law has required for some small eternity that American publicly funded organizations and groups release all data to the public domain (I know it's somewhat more complicated than that though).
We are still awaiting the release of exact adjustment methods.
They'll come. MET Office had its ass kicked. If only some other conspiracy would get ESA to acquiesce.





TallDave,
Ha, the physics aren't known well enough to model even things like the monsoons.
Climate prediction is not the same as weather prediction.
Much of GISS comes from GHCN -- which is not released.
You are lying. I posted the link for MSimon, it is there. Google NCDC, use a .gov or .edu domian and you can get it all for free. All of it. Every morsel.

People have been comparing GHCN raw vs adjusted for years now, cherry picking various stations, ignoring station moves of TOD adjustements, and claiming that the data is wrong. But they don't know how to analyze data like mad_derek here.
I never complained it didn't work. I said it was incomplete.
Is Robert's version complete enough for you?
Yes, in America we practice actual science.
In America we practice creationism and pundent worship.
No, you shouldn't, for the obvious reason that temps over 1,000 miles away are likely to be completely different.
A station is on a hot roof. It is moved to a grassy field a few hundred meters away. That is not going to work for you? Probably not.
TOD seems way too convenient an excuse.
Yet the NCDC provides raw and adjusted data and has all station histories. You know what this tells me? That you don't actually give a darn about strong science. It's not an excuse, it's the station history reality. Measuring temperatures at PM ruined the accuracy of the measurements (a box sitting out in the sun all day vs a box that is in the morning; which is more accurately going to represent the surrounding environment?).
Are we really supposed to believe the TOD trend is so much stronger than the UHI trend that the net adjustment is positive?
Uh, no. If you adjusted the PM boxes downward and left the AM boxes alone the trend still exists. The trend doesn't occur due to the adjustments, it exists in reality. Look at mad_derek's graph.
And even if that's true, that means TOD corrections are large compared to observed warming, which means -- again -- gigantic error bars. Who here thinks they did a detailed analysis of what exactly the TOD correction should be for each unique situation?
That's why they do the homoginzation process, to tweak out obvious discrepencies. Got a better idea? Oh right, throw out the data, because you're such a scientifically inclined person.
They don't need to, they only need to limit the positive feedbacks.
Sure. But current observed environmental changes suggests that they don't (ice mass loss).
RC is explicitly advocating AGW, on the taxpayer's dime.
They may use their free time however they wish. I am sure that denialists have attempted to get them in trouble though.
In this case, I'm not impressed with sneery criticisms of graphs from people who wholeheartedly endorsed Mann's invention of a hoaxey stick using the inverted Tiljander series, discredited bristlecones, the debunked Yamal series, and bad principal component analysis.
You're in far too deep to think critically about this issue.
But this is the basis for spending trillions of dollars.
This won't happen. I wish you could get it through your thick skull that it can't happen. India / China won't work it, so the OECD won't dare do it. Simple politics. You base your whole understanding of the issue on this scary thing.




mad_derek, you did excellent work, and since you posted the whole file, if anyone objects they may do so (they aren't because they see that your methods are sound). I hope you shared that with other sites, if I were any good at Excel I'd join your army of guys debunking station myths. My lucky .edu account will always come in handy for that!




All, last reply for awhile, I'm bored of this circular argumentation. Climate scientists aren't wobbly.
Science is what we have learned about how not to fool ourselves about the way the world is.

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