Accessing and distributing large volumes of NetCDF data

Ranjeet Devarakonda, Yaxing Wei, Michele Thornton

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

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.

Original languageEnglish
Title of host publicationProceedings - 2016 IEEE International Conference on Big Data, Big Data 2016
EditorsRonay Ak, George Karypis, Yinglong Xia, Xiaohua Tony Hu, Philip S. Yu, James Joshi, Lyle Ungar, Ling Liu, Aki-Hiro Sato, Toyotaro Suzumura, Sudarsan Rachuri, Rama Govindaraju, Weijia Xu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3966-3967
Number of pages2
ISBN (Electronic)9781467390040
DOIs
StatePublished - 2016
Event4th IEEE International Conference on Big Data, Big Data 2016 - Washington, United States
Duration: Dec 5 2016Dec 8 2016

Publication series

NameProceedings - 2016 IEEE International Conference on Big Data, Big Data 2016

Conference

Conference4th IEEE International Conference on Big Data, Big Data 2016
Country/TerritoryUnited States
CityWashington
Period12/5/1612/8/16

Keywords

  • Daymet
  • ORNL DAAC
  • Single Pixel Tool
  • THREDDS

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