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.

Comments

Looks like it will be a bad film

[QuasiRob]

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.

wrong!

[QuasiRob]

The moons orbit is expanding.

Where did you get all that from, tarot cards?

Re:wrong!

[QuasiRob]

Good grief, dont you people know how to use a search engine to do a little research before you post?

Freemars - Gravitational interaction (tides on the Earth caused by the Moon) transfers kinetic energy from Earth to the Moon, slowing Earth's rotation and raising the Moon's orbit, currently at a rate of 3.8 centimeters per year.

another page

and another

and another

Re:THC slowdown

[Anonymous Coward]

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!

Re:Concerning the movie "The Day after Tomorrow"

[JasonAWallwork]

The Abrupt Climate Change FAQ from the Union of Concerned Scientists, has a lot to say on the subject and the movie:

Can what happens in The Day After Tomorrow happen in real life?

No. The dramatic, virtually instantaneous and widespread cooling envisioned in the film is fiction. But like all good science fiction, the film is premised on several important scientific facts. We know with great certainty that the Earth is already warming, largely because as we burn fossil fuels and clear forests we are releasing carbon dioxide and other heat-trapping gases in the atmosphere. This warming is expected to continue in the coming decades, accompanied by changes in rainfall patterns and rising sea levels. The possibility of an abrupt shift in the climate system is only one feature of a changing climate that is expected to become more erratic, with extreme weather events like droughts, torrential rainfall, and extreme heat becoming more common. We can slow down global warming and reduce the likelihood of future abrupt climate changes by reducing our emissions of heat-trapping gases.

The other interesting thing it mentions is that Abrupt Climage Change refers to changes that happen over years to decades as opposed to climate change that is happening now over decades and centuries. Make no mistake, we have changed our climate more in the last hundred years than in the previous thousand years.

Re:Not gonna work

[dave_frame]

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

Re:Attempting to model the real world on this scal

[dave_frame]

Exactly. Although in a chaotic system predictability due to initial conditions washes out over time (in the atmosphere initial condition predictability washes out over about 2 weeks) predictability due to changes in the boundary conditions of the system emerges over time. Imagine a choppy and complicated lake which is fed by a river. The river's flow is getting bigger and bigger (perhaps due to some earthworks in the upstream catchment area). You take a snapshot of the lake, and use your model + initial conditions to predict the surface in thirty second's time. You do okay. But (say) you do a lousy job of predicting the surface in a day's time. BUT, you might do an okay job of predicting the *average level* of the surface in a month's time, not by knowing the initial conditions very well, but by knowing the rate of change of the river's flow. So though we can't predict the exact state (the weather) on longer timescales, we can (we hope, models and data permitting) do a reasonable job of predicting the average state (the climate) of the system on longer timescales. Dave Frame climateprediction.net coordinator

Re:MODS: THIS IS _NOT_ OFF-TOPIC

[dave_frame]

We're in the process of moving the software to BOINC, which will make us much more platform neutral. We reckon this ought to be done in a few weeks (it's been quite a big job). We'll be having a public beta test, so if you want to get involved (on your Mac or linux box) keep an eye on http://www.climateprediction.net

Cheers

Dave Frame

climateprediction.net coordinator

Who wrote the script?

[randomErr]

Um guys.... the movie was written by Art Bell. The guy who had a late night radio show for decades where he talked about aliens, astro projection, and psychic pets. For that reason alone I can't take this movie too seriously.

Re:Bjorn Lomborg

[Hektor_Troy]

Yeah, I read about that as well - and reading between the lines of the media take, they were forced to drop the issue by the government. Apparently the Prime Minister who don't like "so called" experts telling people what to think, don't really like it, when people take issues with his own handpicked experts.

Since I have not read the (now withdrawn) findings by the Committee, I choose not to base my judgements on their findings.

By the way - I wasn't even thinking of that Committee, but was thinking of a smallish 5 page (I think) dissection (page 12 to 17 of that pdf) of a just a small part of his book - by Inge Henningsen, who is an associate professor at the Statistic Department of the Institute for Mathematical Sciences at Copenhagen University.

She also notes in her piece, that he's not actually a statistician like they know them at her department, as he has a M.A in Political Science from Århus Universitet and teaches "Methods" there as well. He is (as is noted) "an associate professor of statistics in the Department of Politital Science".

As to who has the better credentials when it comes to statistics - well, my oppinion is fairly obvious, but I've given you plenty of venues to explore yourself and leave you to draw your own conclusions.