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https://issues.apache.org/jira/browse/CLIMATE-632?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14517415#comment-14517415
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ASF GitHub Bot commented on CLIMATE-632:
----------------------------------------

GitHub user huikyole opened a pull request:

    https://github.com/apache/climate/pull/194

    Merra loader

    https://issues.apache.org/jira/browse/CLIMATE-632
    
    The loader has been tested with 3-hourly MERRA reanalysis data. 

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

    $ git pull https://github.com/huikyole/climate merra_loader

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

    https://github.com/apache/climate/pull/194.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 #194
    
----
commit 5a471ce006ab16247fe305b611a5089beeaafa58
Author: huikyole <huiky...@argo.jpl.nasa.gov>
Date:   2015-04-28T06:25:21Z

    A loader to read MERRA reanalysis HDF-EOS files has been added

commit ed8b6695331e8e9fe8d046cd66ebf1afafe1c498
Author: huikyole <huiky...@argo.jpl.nasa.gov>
Date:   2015-04-28T16:52:00Z

    comments have been added

----


> Adding loaders to handle multiple MERRA reanalysis HDF files stored on a 
> local disk
> -----------------------------------------------------------------------------------
>
>                 Key: CLIMATE-632
>                 URL: https://issues.apache.org/jira/browse/CLIMATE-632
>             Project: Apache Open Climate Workbench
>          Issue Type: Improvement
>          Components: data sources
>    Affects Versions: 1.0.0
>            Reporter: Huikyo Lee
>            Assignee: Huikyo Lee
>            Priority: Trivial
>             Fix For: 1.0.0
>
>
> Original MERRA reanalysis data are in HDF-EOS format. Current file loaders 
> cannot read hourly MERRA data files at all without file conversion and 
> pre-processing. By adding a simple loader for MERRA data 
> (load_merra_3d_files), OCW users can easily read and create an OCW dataset 
> object.  



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