Automatically Retrieve Multidimensional Distributed Data Sets
Create the workflow with the previous defined operation and data.
CDO Remap Data Transformation for 'startR'
Collect and merge the computation results
Specify the execution parameters and trigger the execution
Specify dimension selectors with indices
NetCDF file closer for 'startR'
NetCDF file data reader for 'startR'
NetCDF dimension reader for 'startR'
NetCDF file opener for 'startR'
NetCDF variable reader for 'startR'
Translate a set of selectors into a set of numeric indices
Sort the coordinate variable values in a Start() call
Declare, discover, subset and retrieve multidimensional distributed da...
Define the operation applied on declared data.
Specify dimension selectors with actual values
Automatically fetch, transform and arrange subsets of multidimensional data sets (collections of files) stored in local and/or remote file systems or servers, using multicore capabilities where possible. This tool provides an interface to perceive a collection of data sets as a single large multidimensional data array, and enables the user to request for automatic retrieval, processing and arrangement of subsets of the large array. Wrapper functions to add support for custom file formats can be plugged in/out, making the tool suitable for any research field where large multidimensional data sets are involved.