Distributed Computing World Climate Simulation
Burnt Offerings writes: "The BBC reports that scientists at climateprediction.com are nearing the completion and public release in late summer of a distributed computing project that simulates the world's climate from 1950-2050 AD. It seems that each user's simulation will have different initial conditions built into their runtime simulation and a single completed simulation from 1950-2050 AD takes on average eight-months (Doh!), assuming average household computing power. The results will be sent back to the project's team, where they will select the models that resulted in the 'real' climate patterns that have occured since 1950-2000. I presume they will then use these validated models to help extrapolate the world's climate from 2000-2050. Pretty cool (or should I say warm? or hot?)."
Blame the climate changes from 1950 to 2000 on the expanded use of the automobile and unregular industrial waste. Do you think any scientist in 1950 could have known about our current situation? How can we in 2000 know about the new problems that'll creep up between now and 2050?
Spend your extra CPU cycles computing the cure for cancer or finding ET. I doubt this will prove useful.
If this thing takes eight months to complete, I sure hope they plan on storing periodic checkpoints of progress for each test in a central location. What happens if my machine gets hosed at four months? Is all that data lost?
The information on their website says the time step is 30 minutes and that their box is 3.75 degrees longitude by 2.25 degrees latitude (or visa versa: BIG, in any event).
Therefore, how do they expect this to work -- additionally absent any outside changes in the environment?
What I mean is, how do they know if they did a good job? Perhaps if the results are all very close to the current day climate, I'd buy that they got it right, but if they have a reasonable distribution of results, how do you decide? I mean, we've been clear-cutting the hell out of forests left and right for years: do they somehow takes this into account? Heck, how do they present the geographic information about the Earth: this bit has forest, this bit is desert. I would think that this would make quite a bit of difference in results (changes in albedo, for instance).
I certainly wish them luck, but they're not getting my PC for that long without something more detailed , informationwise.
They're starting with different initial conditions and hoping that some subset results in 50 years of weather?
Shouldn't they use the last 50 years of weather as initial conditions and vary parameters of the model instead?
What they're doing is like flipping an imaginary coin 500 times hoping to match the first 250 flips of a real coin to predict the the last 250 flips (albeit in a system with non-independent trials). But then they're taking those 500 flips and matching the first 250 to weather reports (might as well be coin flips) and then imagining the next 250 flips will approximate the future weather reports. What they need to do is fix the initial conditions and modify the model (coin flips vs. rolls of the die vs. LCRNG, etc.) to find a model that approximates the dynamics of the system.
Am I making sense here? How are these bozos not just going to apply their effective innumeracy to waste a few trillion CPU hours that could otherwise have been used to do protein folding or cancer-killing molecule matching?
--Blair
Also these people are entirely too green and liberal for my tastes. At first it is a very thought provoking idea. But these people already have preconcevied conclusions... and that isn't very good science.
On the contrary, scientists first formulate a hypothesis (in other words, a preconceived notion; human activity has led to global warming, for instance) and then perform an experiment to test it. And like it or not, global warming is occurring. The average temperature of the planet is rising, which is all that is meant by global warming. Whether or not this is the result of human action is still being contested. <OPINION>But personally, I would be very shocked if human activity has had NO effect whatsoever on the climate of the planet.</OPINION>
Why don't we quit wasting time trying to predict major climate change and start taking action to clean up our act?
Have you ever thought of how much garbage the world population puts out, trees we cut down, pollutants we flush, and general mayhem we induce?
Maybe we should be using our excess computing time into working on projects that actually might affect our environment in a positive way, rather than saying we should see what it is going to be like down the road...we all know what is going on here, and I'm not talking about global warming.
Its not the effect of global warming that is our problem right now, but the effect of our blatant misuse of resources and obvious disregard for the earth. Do we not live on this planet with the environment we are destroying...I don't think you need to be a very good scientist to realize that when the environment is decimated, we will be hard pressed to survive...
I guess everyone has some idea that God is going to come and fix everything for us, so we don't have to worry about cleaning up...hey, why don't we all call our mommys and see if they will do our work for us...why don't we own up and say, "Holy shit, I don't want to take the chance that my children are not going to grow up because I ruined their world for them." What is our general purpose in life besides taking up space, making money, and destroying the environment?
The world is a big place, but eventually our actions are going to reach around to spank us, just like our mom's did when we were bad...except it won't be a spanking we live through:/
I invite everyone to spend their 8 months attempting to exact reform in our environmental policies and personal resource use, rather than hoping your computer will somehow figure it out for you.
--"It's Bradford Company, slash your last name, dot your first name"
As one poster has pointed out, weather is a chaotic system (and climate is also chaotic by definition).
Chaos is gravely misunderstood though so let me real quick through in my explaination for why this experiment will just generate FUD.
Chaotic equations are chaotic not because of the number of variables involved but because of the interdependency on themselves (each iteration requires the former iteration). This leads to extreme sensitive dependency on initial conditions (a.k.a. the Butterfly Effect). I should have probably emphasized the word extreme because even the slightly deviation will produce dramatically different results.
Even the best climate prediction algorithm would be crap if the initial condition was off by 10^(-20). The fact that we cannot measure temperatures exactly means that we could never feed a perfect initial condition.
Chaotic equations do have a given period before divergence gets extreme when initial conditions are altered. The original equations that Lorenz used (the pioneer of weather forecasting and the father of Chaos theory) showed divergence after about three days (which is why five-day forecasts still suck to this day).
I find it very hard to believe that these folks have developed an equation that doesn't show divergence for 100 years. Not to mention the fact that the number of initial conditions are much larger than the project makes them out to be.
Summary: Some PhD is looking for research money and figures that mixing "scientific" proof for global warming, chaos, and SETI-style distributed computer has to be good for a couple million at least.
int func(int a);
func((b += 3, b));
Clever, but we're talking climate here, not weather.
Yes. In fact, any system which displays locally nonlinear disturbances in a globally linear function will do so.
The mere fact that climate is study of average weather is irrelevant to the system at hand.
No it isn't. It should immediately alert you to the possibility that climate might be more predictable than weather. Averages always have lower variance than the underlying data.
A chaotic system will by definition exhibit divergence either way with a slight change in initial conditions
This isn't a rigourous definition you're talking about here, and your definition doesn't prove your point. A chaotic system might exhibit divergent behaviour, but that doesn't necessarily require that the divergence be either permanent of large in relation to an underlying linear trend. For example, if I take the output of a nonlinear oscillator and add it to the signal for Radio Luxembourg, I can make a system which is "chaotic" in the sense that its local behaviour is divergent in a nonlinear way dependent on small variations in initial conditions. But I can still extract a useful signal from my system by applying the right filter.
-- the most controversial site on the Web
Close... the IPCC was designed to collate all well-reviewed, reliable, statistically sound studies done around the world, and describe the consensus of opinion amongst researchers in the field.
RANT MODE = "ON"
The idea was to prevent scum-sucking American corporations from buying the US Government (by convincing the typical Merkin in the street) and preventing the measures required to help allleviate the threat, from being introduced. Of course we (rational human that is) reckoned without the extraordinary phenomena of Gee Dubya. The US is now storing up
Better luck in 2004.
"None are more hopelessly enslaved than those who falsely believe they are free." -- Goethe