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CMIP 5 dataset and code for R parallelization

| DOI: 10.5065/D6JW8CK2

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.

Temporal Range:
1955-01-01 00:00 +0000 to 1990-01-01 00:00 +0000
Precipitation Amount
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Spatial Coverage:
Longitude Range: Westernmost=180W Easternmost=180E
Latitude Range: Southernmost=90S Northernmost=90N Detailed coverage information
Data Contributors:
Data Assimilation Research Section, Computational & Information Systems, National Center for Atmospheric Research, University Corporation for Atmospheric Research
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 )

Total Volume:
2.83 GB
Data Formats:
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