Accessing and distributing large volumes of NetCDF data

Ranjeet Devarakonda; Yaxing Wei; Michele Thornton

doi:10.1109/BigData.2016.7841077

2016 IEEE International Conference on Big Data (Big Data)

Accessing and distributing large volumes of NetCDF data

Year: 2016, Pages: 3966-3967

DOI Bookmark: 10.1109/BigData.2016.7841077

Authors

Ranjeet Devarakonda, Climate Change Science Institute, Oak Ridge National Laboratory, 1 Bethel Valley Rd, Oak Ridge, TN USA
Yaxing Wei, Climate Change Science Institute, Oak Ridge National Laboratory, 1 Bethel Valley Rd, Oak Ridge, TN USA
Michele Thornton, Climate Change Science Institute, Oak Ridge National Laboratory, 1 Bethel Valley Rd, Oak Ridge, TN USA

Abstract

In this paper, we will discuss how NASA's Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC) is distributing large volumes of `structured' data using Daily Surface Weather Data and a corresponding Climatological Summaries Dataset (Daymet) as an example.

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Accessing and distributing large volumes of NetCDF data

Authors

Abstract

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