[
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)