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From "ASF GitHub Bot (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (CLIMATE-928) temporal_subset should trim edges of dataset times to ensure months divide evenly into years
Date Thu, 28 Sep 2017 01:41:00 GMT

    [ https://issues.apache.org/jira/browse/CLIMATE-928?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16183544#comment-16183544
] 

ASF GitHub Bot commented on CLIMATE-928:
----------------------------------------

GitHub user agoodm opened a pull request:

    https://github.com/apache/climate/pull/454

    CLIMATE-928 - temporal_subset should trim edges of dataset times to ensure months divide
evenly into years

    Needed this patch to get RCMES to work with CERES data and automatic temporal overlap.

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

    $ git pull https://github.com/agoodm/climate CLIMATE-928

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

    https://github.com/apache/climate/pull/454.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 #454
    
----
commit cb9428413baccf8128df7855467838ce1600049c
Author: Alex Goodman <agoodm@users.noreply.github.com>
Date:   2017-09-28T01:35:18Z

    CLIMATE-928 - temporal_subset should trim edges of dataset times to ensure months divide
evenly into years

----


> temporal_subset should trim edges of dataset times to ensure months divide evenly into
years
> --------------------------------------------------------------------------------------------
>
>                 Key: CLIMATE-928
>                 URL: https://issues.apache.org/jira/browse/CLIMATE-928
>             Project: Apache Open Climate Workbench
>          Issue Type: Improvement
>          Components: regridding/data processing
>    Affects Versions: 1.2.0
>            Reporter: Alex Goodman
>            Assignee: Alex Goodman
>             Fix For: 1.3.0
>
>
> When testing some obs4MIPs datasets, their start and end years do not have full annual
temporal coverage (12 months). This creates problems when attempting to calculate seasonal
/ annual averages. Thus, we should try to trim the first and last years from the datasets
automatically



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