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Earth Simulator Sees Green Light

burbs writes "Big Blue's dominator is getting closer to being turned on. The Earth Simulator in Japan is, supposedly, the world's fastest parallel-processing supercomputer. Designed for the Earth's weather, the computer should be able to predict climate for the entire planet for thousands of years in a short amount of time."

9 of 230 comments (clear)

  1. Simulate wheather for thousands of years? by Saib0t · · Score: 3, Insightful
    I don't know much about meteorology, but isn't predicting the wheather a tad difficult?
    Besides, to be able to precisely model the earth's climate, they would need to have measures for about every (mathematical) point of the earth at a given time, which is not possible... Unless they go for an approximation, and then chaos theory kicks in and their 'thousands of years in advance' prediction is worth nothing. (the butterfly - hurricane thing anyone?)

    Am I missing something there?

    --

    One shall speak only if what one has to say is more beautiful than silence
    1. Re:Simulate wheather for thousands of years? by khym · · Score: 3, Insightful

      Even if the computer did know the exact state of every single atmospheric molecule on the planet, things like metiorites, earthquakes and volcanic eruptions would changes things around, at least by a tiny bit, and then the Butterfly Effect comes back. So a 1,000 prediction is pretty ify.

      --
      Give a man a fire, and he'll be warm for a day, but set him on fire, and he'll be warm for the rest of his life.
  2. Do they model supercomputer effects on the Earth? by Shivetya · · Score: 4, Funny

    Seems that if each one of these wonders requires a "city-scale" power generation plant that they would have to model themselves into the equation too.

    Result: Global Warming is indeed occuring, but apparently it is mainly IBM's fault.

    --
    * Winners compare their achievements to their goals, losers compare theirs to that of others.
  3. Climate, not weather by cperciva · · Score: 5, Informative

    A number of posters are confusing climate modelling with weather prediction. Weather prediction -- working out if it will rain tomorrow -- is very difficult because weather systems are chaotic. Climate prediction, however -- working out how large an effect increased CO2 emmisions will have on global warming -- is easy by comparison... at least in theory.

    The problem with climate modelling is that the models right now incorporate large numbers of "fudge factors", and by setting those appropriately you can get whatever outcome you want from your modelling. Of course, without those fudge factors the Earth would be somewhere around -40C most of the time, so you can't just throw them out.

    In short, good models exist for weather, but weather is chaotic so you can't predict much anyway. Bad models exist for climate, but at least it isn't chaotic (as far as we know).

    1. Re:Climate, not weather by Kynde · · Score: 4, Insightful

      A number of posters are confusing climate modelling with weather prediction. Weather prediction -- working out if it will rain tomorrow -- is very difficult because weather systems are chaotic. Climate prediction, however -- working out how large an effect increased CO2 emmisions will have on global warming -- is easy by comparison... at least in theory.

      A number of meteorologists are also confusing modelling with scientific modelling. Those larger scale climate models have little chance giving accurate predictions since there's absolutely no reason to assume that such models would not depend chaotically on the underlying small scale weather. Those forementioned fudge factors that climate models are plagued with are manifestation of just that.

      Even in more strict science circles people tend to resort to finding trends when the system vanishes out of scope. It's essential that the causality and predictability are present. Otherwise people wind up doing research based crap correlations. For example, for several years there's been really strong correlation between the number of Babtist preachers and number of people arrested for drinking in public. There's jack causality present as the dominant effect is the fluctuations in the population of US.

      Just because climate is a lot slower than weather allowing it to predicted for longer periods of time than weather and short term trends give reasonable short term predictions, just as it's possible for weather for a couple of days at a time, it's still chaotic.

      It's easy to blow the model out of practicality and show how shitload of CO2 emissions will create greenhouse effect. A lot shittier task is to work with real world figures and again work with a chaotic system. Don't get me wrong though, I'm absolutely all for the Co2 emission regulations and all.

      --
      1 Earth is warming, 2 It's us, 3 it's royally bad, 4 we need to take action NOW
    2. Re:Climate, not weather by Rogerborg · · Score: 4, Funny
      • Climate prediction, however -- working out how large an effect increased CO2 emmisions will have on global warming -- is easy by comparison... at least in theory

      Theory indeed.

      • IMB: We've predicted the climate for the next 1000 years!
      • Press: Assuming that major vulcanism or meteor impacts don't screw it up, right?
      • IBM: Oh, well, sure, assuming that doesn't happen.
      • Press: And the chances of that are...?
      • IBM: Uhh... about.. ummm... look! Flashing lights! Just like on Star Trek!
      • Press: Oooh! Pretty!
      --
      If you were blocking sigs, you wouldn't have to read this.
  4. IBM's dominator by orangesquid · · Score: 3, Funny

    "Big Blue's dominator is getting closer to being turned on."

    Ooh, can I do it? I like to turn on dominators!

    Sticks and stones may break my bones
    But whips and chains excite me.

    --
    --TheOrangeSquid Is it any wonder things seem so awry? We swim in a sea of confusion and don't have to think to survive
  5. nonlinear equations by xeeno · · Score: 3, Insightful

    I dunno about this one. Wouldn't you be solving some pretty harsh nonlinear d.e's in order to model weather correctly? AFIAK, the only real way to solve these things is to make assumptions about the boundary conditions and the parameters in the equations that simplify the equation in such a way as to make it solvable by means we do know. Not only that, you have mixed fluid equations - one equation for each type of particle in the atmosphere. You'll have boundary conditions on each layer of the atmosphere, and where things behave like plasmas you'll have an entirely new set of equations to consider. It sounds like there are way, way, way to many considerations that go into an exact solution of an atmospheric model. So, solving a 1000 years in advance seems ridiculous. I'd be happy if we could solve a day in advance!

  6. Re:1000 years weather? by JediTrainer · · Score: 3, Funny

    The puff a butterfly makes during flight will alter local weather a little, and this change will continue to influence in weather mechanics, until some months later this butterfly can originate an tornade on another continent.

    If that's what a butterfly can do, I shudder at what might happen in Europe the next time I have a burrito for lunch!

    I fart in your general direction! -Monty Python and the Holy Grail

    --

    You can accomplish anything you set your mind to. The impossible just takes a little longer.