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Statistical Analysis of Massive Data Streams: Proceedings of a Workshop (2004)

Chapter: Global and Regional Surface Wind Field Inferences Given Spaceborne Scatterometer Data Ralph F.Milliff

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Suggested Citation:"Global and Regional Surface Wind Field Inferences Given Spaceborne Scatterometer Data Ralph F.Milliff." National Research Council. 2004. Statistical Analysis of Massive Data Streams: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/11098.
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GLOBAL AND REGIONAL SURFACE WIND FIELD INFERENCES FROM SPACEBORNE SCATTEROMETER DATA 52 Global and Regional Surface Wind Field Inferences Given Spaceborne Scatterometer Data Ralph F.Milliff Colorado Research Associates (CoRA) Division, NorthWest Research Associates (NWRA) collaborators: L.Mark Berliner Ohio State University Christopher K.Wikle University of Missouri Doug Nychka Tim Hoar National Center for Atmospheric Research Jan Morzel CoRA/NWRA research support: NASA ESE Ocean Vector Winds Science Team presentation to: NRC Committee for Applied and Theoretical Statistics Workshop on Massive Data Streams 13–14 December 2002 Washington, DC

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Massive data streams, large quantities of data that arrive continuously, are becoming increasingly commonplace in many areas of science and technology. Consequently development of analytical methods for such streams is of growing importance. To address this issue, the National Security Agency asked the NRC to hold a workshop to explore methods for analysis of streams of data so as to stimulate progress in the field. This report presents the results of that workshop. It provides presentations that focused on five different research areas where massive data streams are present: atmospheric and meteorological data; high-energy physics; integrated data systems; network traffic; and mining commercial data streams. The goals of the report are to improve communication among researchers in the field and to increase relevant statistical science activity.

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