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https://issues.apache.org/jira/browse/CLIMATE-752?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15133095#comment-15133095
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ASF GitHub Bot commented on CLIMATE-752:
----------------------------------------
GitHub user huikyole opened a pull request:
https://github.com/apache/climate/pull/308
CLIMATE-752 - Converting the unit of CRU cloud fraction by adding an option
to configuration files
- Unit of CRU's cloud fraction data in RCMED (dataset_id: 10,
parameter_id:42) is %, whereas all of CORDEX Africa RCMs have dimensionless
cloud fraction. 'multiplying_factor' option will match the unit between the
observation and models.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/huikyole/climate CLIMATE-752
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/climate/pull/308.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 #308
----
commit 6e101d8350ae9b88d91935af820838847f8812cf
Author: huikyole <[email protected]>
Date: 2016-02-04T21:43:16Z
CLIMATE-752 - Converting the unit of CRU cloud fraction by adding an option
to configuration files
- Unit of CRU's cloud fraction data in RCMED (dataset_id: 10,
parameter_id:42) is %, whereas all of CORDEX Africa RCMs have dimensionless
cloud fraction. 'multiplying_factor' option will match the unit between the
observation and models.
----
> Converting the unit of CRU cloud fraction by adding an option to
> configuration files
> ------------------------------------------------------------------------------------
>
> Key: CLIMATE-752
> URL: https://issues.apache.org/jira/browse/CLIMATE-752
> Project: Apache Open Climate Workbench
> Issue Type: Bug
> Reporter: Huikyo Lee
> Assignee: Huikyo Lee
> Fix For: 1.1
>
>
> Unit of CRU's cloud fraction data in RCMED (dataset_id: 10, parameter_id:42)
> is %, whereas all of CORDEX Africa RCMs have dimensionless cloud fraction.
> 'multiplying_factor' option will match the unit between the observation and
> models.
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