Cover Image: May 2012 Scientific American Magazine See Inside

New Technology Allows Better Extreme Weather Forecasts

New technology that increases the warning time for tornadoes and hurricanes could potentially save hundreds of lives every year















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This article was published in print as "A Better Eye On the Storm."



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ABOUT THE AUTHOR(S)

Jane Lubchenco has been NOAA Administrator since 2009. She is a marine ecologist and environmental scientist, with expertise in oceans, climate change and interactions between the environment and human well-being. John L. "Jack" Hayes is director of the National Weather Service at NOAA. He is responsible for the preparation and delivery of weather warnings and predictions to government, industry and the general public.


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  1. 1. msteviet 04:51 PM 4/19/12


    As an expert in the field, I can say unequivocally that the claims of the authors on the value of satellite data, especially from the polar orbiters, for warnings of severe weather 5-7 days in advance are excessively hyped and not sufficiently substantiated.

    Moreover, the authors would have you believe that forecasts of this sort require just plugging in more and more satellite data into computer weather prediction models and, wa-la, early warnings of extreme weather. The fact is that for a fraction of the cost of a single satellite, increased investments focused on accelerating improvements in weather models and systems would almost certainly yield greater gains in forecast accuracy and reliability (more bang for the buck).


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  2. 2. Bruce Voigt 01:28 AM 4/22/12

    New to me are Weather Radar Circles.
    I can see were these could be used in deciphering the path and strength of Tornado.
    Guessing, but I think the understanding of these would give a 24 to 48 hour Tornado warning.
    http://www.physforum.com/index.php?showtopic=11462&st=0

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  3. 3. Kevin Martin 06:09 PM 4/23/12

    If grid spacing is so important for tornado prediction, why not use dynamic grid spacing? If most of the atmosphere is relatively calm, and can be modeled with a large grid spacing, then volumes containing potential tornadoes could have their grid spacing dramatically reduced for a very small computational cost.

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