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Merge pull request #235 from NCAR/fix-typos-in-POP-documentation
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Fix typos in POP readme.rst
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timhoar committed Jun 8, 2021
2 parents e743a1e + f236b99 commit 10eb97f
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4 changes: 4 additions & 0 deletions CHANGELOG.rst
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The changes are now listed with the most recent at the top.

**Jun 7 2021 :: fix typos in POP documentation Tag: v9.10.6**

- fix some spelling mistakes, does not change meaning.

**May 18 2021 :: updated process to generate obs on a sphere. Tag: v9.10.5**

- Matlab scripts and new scripts for cam-fv make it simpler to
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2 changes: 1 addition & 1 deletion conf.py
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author = 'Data Assimilation Research Section'

# The full version, including alpha/beta/rc tags
release = '9.10.5'
release = '9.10.6'
master_doc = 'README'

# -- General configuration ---------------------------------------------------
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4 changes: 2 additions & 2 deletions models/POP/readme.rst
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Expand Up @@ -58,7 +58,7 @@ Detailed instructions for using DART and CESM POP2 on NCAR's supercomputer
If you're using NCAR's supercomputer, you can run the setup scripts after
making minor edits to set details that are specific to your project. The setup
scripts create a CESM case in which POP is configured using a 1° horizontal
grid, and uses the eddy-paremetrization of Gent and McWilliams (1990). [2]_
grid, and uses the eddy parametrization of Gent and McWilliams (1990). [2]_
The CICE model is active and atmospheric forcing is provided by the `CAM6 DART
Reanalysis <https://rda.ucar.edu/datasets/ds345.0/>`_.

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If you have access to CGD's Ocean Section directory on ``/glade/campaign`` you
can use the `copy_POP_JRA_restarts.py`_ script to stage a collection of POP
restart files from Who Kim's mulit-century ``g210.G_JRA.v14.gx1v7.01``
restart files from Who Kim's multi-century ``g210.G_JRA.v14.gx1v7.01``
experiment to serve as an initial ensemble. This experiment uses the JRA-55
dataset for atmospheric forcing (Tsujino et al. 2018 [4]_).

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