Data Publications

CMIP 5 dataset and code for R parallelization

hasData_Center_Short_Name
  • UCAR/NCAR/CISL/DSS
hasDataset_Online_Resource
hasDataset_Title
  • CMIP 5 dataset and code for R parallelization
hasEntry_ID
  • NCAR_DS810.0
hasReference
  • Milroy, D., S. Chen, B. Vanderwende, and D. Hammerling, 2017: Accelerating CMIP Data Analysis with Parallel Computing in R. TN-534+STR, NCAR, 37 pp. (DOI: 10.5065/D61V5CP8 ), URL: http://n2t.net/ark:/85065/d7z89fpb.
hasSummary
  • The dataset is used as an example of how to parallelize statistical analysis for CMIP data. The code contains all the LSF submission scripts and the R scripts referred to in the NCAR library technical note NCAR/TN-534+STR. The specific analysis conducted is Extreme Value Analysis, but the parallelization framework is generic and can be applied to any grid-point-wise parallelization using the software R.
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