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PyReshaper is a post-processing tool developed for the CESM that can be used to convert raw (time-slice) output to time series (one file per variable). To facilitate using and getting more experience with this tool on NIRD, it has now been installed with anaconda under the INES project: /projects/NS9560K/pyreshaper.
To use this installation, please follow the instructions in /projects/NS9560K/pyreshaper/README.txt.
PyReshaper can be run using unix command line functions or from within Python using PyReshaper's Python modules, see the documentation for details. Either create your own scripts, or use the Python example script provided under /projects/NS9560K/pyreshaper/scripts as a basis (see the README file for details).
In terms of timing, tests done by Øyvind indicate that using PyReshaper is comparable to using nco/cdo when running it on the atmospheric h0 files with the default NorESM2 output. Running the tool in parallel has not been explored yet.
Hopefully some of you will find this useful. If you test it, please consider sharing your experience with the tool below.
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PyReshaper is a post-processing tool developed for the CESM that can be used to convert raw (time-slice) output to time series (one file per variable). To facilitate using and getting more experience with this tool on NIRD, it has now been installed with anaconda under the INES project: /projects/NS9560K/pyreshaper.
To use this installation, please follow the instructions in /projects/NS9560K/pyreshaper/README.txt.
PyReshaper can be run using unix command line functions or from within Python using PyReshaper's Python modules, see the documentation for details. Either create your own scripts, or use the Python example script provided under /projects/NS9560K/pyreshaper/scripts as a basis (see the README file for details).
In terms of timing, tests done by Øyvind indicate that using PyReshaper is comparable to using nco/cdo when running it on the atmospheric h0 files with the default NorESM2 output. Running the tool in parallel has not been explored yet.
Hopefully some of you will find this useful. If you test it, please consider sharing your experience with the tool below.
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