Abstract
Data permeates atmospheric science. A full set of sweeps from a NEXRAD-88D radar can record 13 megabytes of data over a five minute period; there are over 120 radar sites across the U.S. At a minimum, 400 megabytes per day of operational gridded numerical weather forecast output are produced at the National Centers for Environmental Prediction. At the National Center for Atmospheric Research in Boulder, Colorado, 150 terabytes of research data are archived on Mass Storage. The National Climatic Data Center maintains over 500 terabytes of global climate records. These are but a few examples of data in the U.S. There are massive volumes of atmospheric empirical observations and model output collected and stored at various operational facilities and research organizations around the world.
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© 2000 Springer Science+Business Media New York
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Brown, T.J., Mielke, P.W. (2000). Guest Editorial: Statistical Mining and Data Visualization in Atmospheric Sciences. In: Brown, T.J., Mielke, P.W. (eds) Statistical Mining and Data Visualization in Atmospheric Sciences. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-6581-6_1
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DOI: https://doi.org/10.1007/978-1-4757-6581-6_1
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