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

Chapter: John Bates Exploratory Climate Analysis Tools for Environmental Satellite and Weather Radar Data

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Suggested Citation:"John Bates Exploratory Climate Analysis Tools for Environmental Satellite and Weather Radar Data ." 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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Suggested Citation:"John Bates Exploratory Climate Analysis Tools for Environmental Satellite and Weather Radar Data ." 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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Page 13

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EXPLORATORY CLIMATE ANALYSIS TOOLS FOR ENVIRONMENTAL SATELLITE AND WEATHER RADAR DATA 12 John Bates Exploratory Climate Analysis Tools for Environmental Satellite and Weather Radar Data Abstract of Presentation Transcript of Presentation and PowerPoint Slides BIOSKETCH: John J.Bates is the chief of the Remote Sensing Applications Division of the U.S. National Oceanic and Atmospheric Administration's (NOAA's) National Climatic Data Center. Dr. Bates received a PhD in meteorology from the University of Wisconsin-Madison in 1986 under William L.Smith on the topic of satellite remote sensing of air-sea heat fluxes. Dr. Bates then received a postdoctoral fellowship at Scripps Institution of Oceanography (1986–1988) to work with the California Space Institute and the Climate Research Division. He joined the NOAA Environmental Research Laboratories in Boulder, Colorado, in 1988 and there continued his work in applying remotely sensed data to climate applications. In 2002, Dr. Bates moved to the NOAA National Climatic Data Center in Asheville, North Carolina. Dr. Bates' research interests are in the areas of using operational and research satellite data and weather radar data to study the global water cycle and studying interactions of the ocean and atmosphere. He has authored over 25 peer- reviewed journal articles on these subjects. He served on the AMS Committee on Interaction of the Sea and Atmosphere (1987–1990) and the AMS Committee on Applied Radiation (1991–1994). As a member of the U.S. National Research Council's Global Energy and Water Cycle Experiment (GEWEX) Panel (1993–1997), Dr. Bates reviewed U.S. agency participation and plans for observing the global water cycle. He was awarded a 1998 Editors' Citation for excellence in refereeing Geophysical Research Letters for “thorough and efficient reviews of manuscripts on topics related to the measurement and climate implications of atmospheric water vapor.” He has also been a contributing author and U.S. government reviewer of the Intergovernmental Panel on Climate Change Assessment Reports. He currently serves on the International GEXEX Radiation Panel, whose goal is to bring together theoretical and experimental insights into the radiative interactions and climate

EXPLORATORY CLIMATE ANALYSIS TOOLS FOR ENVIRONMENTAL SATELLITE AND WEATHER RADAR DATA 13 feedbacks associated with cloud processes, including the effects of water vapor within the atmosphere and at Earth's surface.

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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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