Artificial Intelligent Air Mass Movement Super Computer Prediction
It seems it is time to add a little bit of artificial intelligence into the supercomputer system that predicts the weather and tracks the hurricanes at NOAA. Artificial intelligence computers can learn and program themselves and by feeding them all the archived data from all the past recent hurricane seasons and five years worth of normal airflow and normal weather patterns, we should be able to get a pretty good idea of exactly what the super storms will do. We need to know as hurricanes form exactly where they are going and where they will make landfall yet what amount of force on the Saffir-Simpson scale.
If these supercomputers to train themselves in work through trillions of calculations per second, using all the old data collected they should be able to give us a pretty good idea of exactly what is to happen. Additionally we need to add some more datasets into these equations for instance solar flares and how they heat up our atmosphere; also underwater oceanography and volcanic vents. Since we are in a La Nina season we know that the 2006 Atlantic tropical hurricane season will be severe and it could perhaps rivaled the 2005 hurricane season. Of course we hope it won’t in early predictions show that will be somewhat less however we cannot know for sure. Once those ocean surface temperatures start heating up in the Gulf of Mexico and when those hurricanes into the Gulf of Mexico there is just no telling what type of devastation will be created.
We must upgrade our supercomputers at NOAA to ensure that they are able to track, predicts and tell us the information we need to know to warn our citizens. During the 2005 hurricane season NOAA did a wonderful job providing the data we needed to protect the American people. But this is no time to rest on our laurels, because this is a time when we need to forge ahead and Press on to better what we have in our supercomputer weather systems. Introducing artificial intelligence, which can learn and reprogram themselves to better estimate weather is essential in this decade of hurricane cycles. Consider this 2006 per
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