[ 
https://issues.apache.org/jira/browse/CLIMATE-742?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15127520#comment-15127520
 ] 

ASF GitHub Bot commented on CLIMATE-742:
----------------------------------------

GitHub user huikyole opened a pull request:

    https://github.com/apache/climate/pull/300

    CLIMATE-742 - ocw.data_source.local.py cannot properly detect the altitude 
dimension

    - In ocw.data_source.local.load_file, level_index is fixed as 1 (the 2nd 
dimension) if the input dataset has four dimensions.

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

    $ git pull https://github.com/huikyole/climate CLIMATE-743

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

    https://github.com/apache/climate/pull/300.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 #300
    
----
commit 51dd397d522c0471c01c29d1f522aeab45bc7c49
Author: huikyole <[email protected]>
Date:   2016-02-02T02:52:00Z

    CLIMATE-743 - Update utils.normalize_lat_lon_values
    
    - Any longitude values between 180 and 360 is converted to -180 and 0.

----


> ocw.data_source.local.py cannot properly detect the altitude dimension
> ----------------------------------------------------------------------
>
>                 Key: CLIMATE-742
>                 URL: https://issues.apache.org/jira/browse/CLIMATE-742
>             Project: Apache Open Climate Workbench
>          Issue Type: Bug
>            Reporter: Huikyo Lee
>            Assignee: Huikyo Lee
>
> Currently, ocw.data_source.local.load_file does not automatically detect the 
> altitude dimension. As a temporary solution, level_index is fixed as 1 (the 
> 2nd dimension) if the input dataset has four dimensions.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

Reply via email to