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https://issues.apache.org/jira/browse/CLIMATE-927?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16185401#comment-16185401
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ASF GitHub Bot commented on CLIMATE-927:
----------------------------------------

GitHub user agoodm opened a pull request:

    https://github.com/apache/climate/pull/457

    CLIMATE-927 - RCMES script for running multiple evaluations

    Finally done and working at an acceptable level. This required several bug 
fixes and feature adjustments, including:
    
    1) Setting default values for subplot_array (gridshape) and start and end 
times (via max temporal overlap)
    2) Fixing minor bug in parsing CORDEX boundary info
    3) Prefer "portrait" aspect ratios to "landscape" for default subplot 
arrays (eg, (3, 2) instead of (2, 3) for 6 plots).

You can merge this pull request into a Git repository by running:

    $ git pull https://github.com/agoodm/climate CLIMATE-927

Alternatively you can review and apply these changes as the patch at:

    https://github.com/apache/climate/pull/457.patch

To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:

    This closes #457
    
----
commit fb02c74925b977abd2c03f19ea0ccd9b15faec23
Author: Alex <ago...@users.noreply.github.com>
Date:   2017-09-29T06:11:51Z

    CLIMATE-927 - RCMES script for running multiple evaluations

----


> RCMES script for running multiple evaluations
> ---------------------------------------------
>
>                 Key: CLIMATE-927
>                 URL: https://issues.apache.org/jira/browse/CLIMATE-927
>             Project: Apache Open Climate Workbench
>          Issue Type: New Feature
>          Components: general
>            Reporter: Alex Goodman
>            Assignee: Alex Goodman
>             Fix For: 1.3.0
>
>
> This is the front-end for running CORDEX evaluations, which will 
> automatically run evaluations for each obs4MIPs file that's compatible with 
> the data available for each domain. Preferably this will be done in parallel 
> using the multiprocessing module.



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