CMIP 5 dataset and code for R parallelization
d810000
| DOI: 10.5065/D6JW8CK2
Abstract:
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
Variables:
| Precipitation Amount |
Vertical Levels:
See the detailed metadata for level information.
Data Types:
Grid
Spatial Coverage:
Longitude Range: Westernmost=180W Easternmost=180E
Latitude Range: Southernmost=90S Northernmost=90N Detailed coverage information Detailed coverage information 1.25° x 0.942° from 0.625W to 359.375E and 90S to 90N (288 x 192 Longitude/Latitude cells)
Latitude Range: Southernmost=90S Northernmost=90N Detailed coverage information Detailed coverage information 1.25° x 0.942° from 0.625W to 359.375E and 90S to 90N (288 x 192 Longitude/Latitude cells)
Data Contributors:
UCAR/NCAR/CISL/DAReS
Data Assimilation Research Section, Computational & Information Systems, National Center for Atmospheric Research, University Corporation for Atmospheric Research
Publications:
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:
More Details:
View a more detailed summary of the data, including specific date ranges and locations by parameter
Metadata Record:
Data License:
This work is licensed under a Creative Commons Attribution 4.0 International License.
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