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Prepare snow depth observations for JEDI-based Land DA. (#1609)
This PR: - adds a job to prepare IMS snow depth observations as a task in the workflow. This task depends on the `prep.sh` job to bring IMS data. To test this type of data `DMPDIR` in `config.base` needed to be pointed to `"/scratch1/NCEPDEV/global/Jiarui.Dong/JEDI/GlobalWorkflow/para_gfs/glopara_dump"` - `land_analysis.py` introduces a method `prepare_IMS` for this type of data. - Updates are necessary in the `GDASApp` repo. See companion PR NOAA-EMC/GDASApp#472 This job only runs at the `18z` cycle in the workflow. This is controlled in the XML and not in the script. Consequently, updates are in the `workflow/` scripts to make this happen. Other updates included: - Adds a method (and associated test) to provide a datetime in the form of Julian day of the year. The method is `to_julian` in `timetools.py` - `executable.py` was updated to accept a `list` of arguments (in addition to `str`). **Note:** - `calcfIMS.exe` is a serial executable and yet requires to be run with `srun`. I recommend compiling this executable without MPI. @jiaruidong2017 @CoryMartin-NOAA - There are several deprecation warnings from the python IODA converter that will need to be addressed. I recommend creating an issue to be resolved later. @jiaruidong2017 @CoryMartin-NOAA Part of Land DA work for snow depth assimilation, for which there is no issue open.
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