Abstract
New software systems are needed to meet the challenge of quickly transforming huge amounts of dynamic, real-time big data into accessible and useful information. The Information Management System (IMS) developed for the US Environmental Protection Agency’s AirNow program, which informs the public about current and predicted local air quality conditions, provides an efficient and flexible way to automatically ingest and process data to create useful information products. Although IMS was developed to manage US air quality data, it can easily be adapted for international use and to other scientific disciplines.
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- 1.
Converting individual data points to a gridded data file makes the data easier to display and is a preliminary step to creating map files. Algorithms are used to weigh and calculate values for the data points that are available near the fixed points of a regular, rectangular grid.
- 2.
Shapefile: a common file format for showing spatial data.
- 3.
Through performance testing and research, we determined that it is most efficient for each core of a CPU to build a single file product at a time. IMS servers are thus set by default to simultaneously build as many files as they have CPU cores.
Acknowledgments
The authors wish to acknowledge the contributions of Jeffrey Prouty, Eric Gray, Patrick Zahn, Jennifer DeWinter, Alex Dove, and Mary Jo Teplitz of Sonoma Technology, Inc. (STI); Daniel Pryden, Judd Reed, and Liron Yahdav, formerly of STI; Scott Jackson of the US Environmental Protection Agency; and the US National Aeronautics and Space Administration for funding the AirNow Satellite Data Processor (ASDP).
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© 2014 Springer International Publishing Switzerland
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Haderman, M.D. et al. (2014). Big Benefit from Big Data: A Real-Time Data Product Creation and Distribution System. In: Drake, J., Kontar, Y., Rife, G. (eds) New Trends in Earth-Science Outreach and Engagement. Advances in Natural and Technological Hazards Research, vol 38. Springer, Cham. https://doi.org/10.1007/978-3-319-01821-8_16
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DOI: https://doi.org/10.1007/978-3-319-01821-8_16
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