Japan Plans 30-Year Supercomputer Forecasts
BaltikaTroika writes "According to a ministry representative, 'Japan is planning ultra long-range 30-year weather forecasts that will predict typhoons, storms, blizzards, droughts and other inclement weather.' Maybe they should tell their secret to my local weatherman, who usually can't even get tomorrow's weather right. Whatever happened to chaos?"
http://www.farmersalmanac.com/weather/weather.html
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If you are referring to forecasts in the United States, there are several different forecasts provided by the government which provide the baseline to basically everything you see on TV or hear on the radio or whatever. There is a short term forecast called the AVN/NAV which is intended to aircraft, so they will know how to schedule flights. This has a forecast which provides information on 3 hour intervals and is updated many times a day. Next there is the MRF, which goes out 12 days or so (it has been a few years since I looked at it directly) and is a daily forecast, updated several times a day. It is intended for general use and is basically what you see every day. There are some commercial vendors that put their own spin on things, and plenty of specialized forecasts for things like hurricanes, etc. However, these two are the most important forecasts for anyone in the United States, and have been around since the 90's at least. What you may be seeing is a "keeping up with the Joneses" approach to TV weather forecasting. If one station has 9 days, and the other has 8, which one are you going to watch? While that last day may have no accuracy whatsoever, people would still tend to watch one over the other I think.
I submitted this story last night, and it didn't get posted.
1) The computer will be doing CLIMATE modeling, not weather prediction. That's a different bird. It's like the difference between the average score on a test and your score on the test. Or like describing the flow of heat, but not knowing the underlying collisions that result in the transfer of energy.
2) Higher precision does help you model chaotic systems longer, but... If you run your model until the difference between your prediction and the actual system is larger than a tolerance, the time when this happens is called the horizon time. If you improve your accuracy (let's say your computer system is perfect and errors only occur in getting the initial state right), you only improve the horizon time as the LOG of your improvement. In an age where quadratic methods are just adequate in scientific computing, this is unbearable.
3) Another weather (not climate) prediction option is to use a statistical cohort model. Such a model just takes in data and tries to predict what will happen next based on past trends. It doesn't know any physics, and can take a while to train. This means that the cohort you train in London is useless in Paris. Such "models" often beat physical models in predictive ability, but don't give any insight into why. If you want to fly a plane, they're fine. If you want to do science, see (1) or (2).
Also, this computer is way, way cooler than the one predicting nuclear bomb blasts. But that's, just like, my opinion, man.
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