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Simulate "The Day After Tomorrow" On Your PC
kpearson writes "climateprediction.net, a distributed computing project to predict Earth's climate 50 years from now, has a new add-on project to study THC slowdown (how climate might change as CO2 changes in the event of a decrease in the strength of the thermohaline circulation). This kind of rapid, extreme climate change is shown in the movie The Day After Tomorrow, in which New York City is treated to a 10,000-year-long ski season. Anyone can download the project's client software and participate in the simulation. climateprediction.net was previously mentioned in the September 13, 2003 article
Distributed Computing and Climate Change." Clients are available for various varieties of Microsoft Windows, but none are listed for other OSes.
Just from watching the trailers it looks like it will be another contender for inclusion on various bad movie websites.
How much of the public will be mislead into thinking thats how it really happens? I still cringe whenever Armageddon is on.
If you try to fail and succeed, which have you done?
Yes my friend, you're missing something. The "pollen" that your friendly hashman refers to is most likely polm. The finest morrocan hashes are polm. I am unsure as to the genesis of the word, but it could be related to palm, or else is an indigenous north african word.
There are varieties of hash called pollen I believe, but they are "brand names" much like "northern lights" or "silver pearl" are to skunk herb.
Your dealer is either using the name in this way, or has bastardised polm. It seems to be a commonish error. But, now you know...
The reason why 100% female plants are preferred to males is that they are much stronger and more productive. The ladies give us concentrated trichomes containing high levels of THC/CBD, whereas the males contain little of the active ingredients and give us a headache and a weak buzz.
So, spread the word brother.! No more pollen. Polm!
We're not running a parallelised model across lots of computers, we're farming out a run to each of several thousand machines. And the purpose of the experiment is precisely to look into the feedback processes that govern how climate changes. You say: "what's holding back the state of the art right now is the quality of the algorithms we're using" and this - on climate timescales - is what we're looking to explore. Basically, the models that we have these days (IPCC TAR, for instance) lack any sort of quantitative measure of uncertainty. We're looking to find "error bars" for these sorts of predictions. See http://www.climateprediction.net/science/strategy_ adv.php for details of the experimental strategy. [We (& friends overseas) have submitted bids in recent EU Framework 6 and NSF rounds, to try to do something similar with very different models. This will help us conduct a convergence/verification process.]
We have recently submitted a "first results" paper and are awaiting the reviewers' comments. So far, things seem to be going pretty well (though we'd love some more participants!).
Cheers,
Dave Frame
climateprediction.net coordinator
Cheers
Dave Frame
climateprediction.net coordinator