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https://issues.apache.org/jira/browse/CLIMATE-733?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15125032#comment-15125032
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ASF GitHub Bot commented on CLIMATE-733:
----------------------------------------
GitHub user huikyole opened a pull request:
https://github.com/apache/climate/pull/289
CLIMATE-733 - Update run_RCMES.py
- customized names for latitudes and longitudes are allowed.
- daily or hourly data stored on user's local machine can be used for
model evaluation.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/huikyole/climate CLIMATE-733
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/climate/pull/289.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 #289
----
commit 1ee1b71207447b2ad6c049046c291f894571171a
Author: huikyole <[email protected]>
Date: 2016-01-30T00:45:35Z
CLIMATE-733 - Update run_RCMES.py
- customized names for latitudes and longitudes are allowed.
- daily or hourly data stored on user's local machine can be used for model
evaluation.
commit 5dc1c3220afc4d635ba2a7c9520a4ed0ecd24e49
Author: huikyole <[email protected]>
Date: 2016-01-30T00:46:34Z
Merge branch 'master' of https://github.com/apache/climate into CLIMATE-733
commit 0b1b93907157a5cb81ebb283015e021a8f2e1fe9
Author: huikyole <[email protected]>
Date: 2016-01-30T19:38:33Z
CLIMATE-733 - Update run_RCMES.py
- customized names for latitudes and longitudes are allowed.
- daily or hourly data stored on user's local machine can be used for model
evaluation.
----
> Update run_RCMES.py
> --------------------
>
> Key: CLIMATE-733
> URL: https://issues.apache.org/jira/browse/CLIMATE-733
> Project: Apache Open Climate Workbench
> Issue Type: New Feature
> Reporter: Huikyo Lee
> Assignee: Huikyo Lee
> Priority: Critical
> Fix For: 1.1
>
>
> - customized names for latitudes and longitudes are allowed.
> - daily or hourly data stored on user's local machine can be used for model
> evaluation.
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