A new parallel python tool for the standardization of earth system model data

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

3 Scopus citations

Abstract

We have developed a new parallel Python tool for the standardization of Earth System Model (ESM) data for publication as part of Model Intercomparison Projects (MIPs). It was specifically designed to aid Community Earth System Model (CESM) scientists at the National Center for Atmospheric Research (NCAR) in preparation for the Coupled Model Intercomparison Project, Phase 6 (CMIP6), expected to start in early 2017. However, the tool is general to any and all MIPs and ESMs. The tool is implemented with MPI parallelism using mpi4py, and it performs the data standardization computation with a directed acyclic graph (DAG) data structure capable of streaming data from ESM input data to standardized output files. In this paper, we describe the tool, its design and testing.

Original languageEnglish
Title of host publicationProceedings - 2016 IEEE International Conference on Big Data, Big Data 2016
EditorsJames Joshi, George Karypis, Ling Liu, Xiaohua Tony Hu, Ronay Ak, Yinglong Xia, Weijia Xu, Aki-Hiro Sato, Sudarsan Rachuri, Lyle Ungar, Philip S. Yu, Rama Govindaraju, Toyotaro Suzumura
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2953-2959
Number of pages7
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

  • data processing
  • high performance computing
  • parallel processing
  • scientific computing

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