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From "ASF GitHub Bot (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (CLIMATE-643) Updating some of examples
Date Thu, 30 Jul 2015 16:05:04 GMT

    [ https://issues.apache.org/jira/browse/CLIMATE-643?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14647870#comment-14647870
] 

ASF GitHub Bot commented on CLIMATE-643:
----------------------------------------

Github user huikyole commented on the pull request:

    https://github.com/apache/climate/pull/210#issuecomment-126383587
  
    @MJJoyce  I understand your concerns. However, updating examples was impossible without
adding new modules to the dataset_processor. CLI is also using the code based on examples.
I will try to separate these into three tickets.


> Updating some of examples
> -------------------------
>
>                 Key: CLIMATE-643
>                 URL: https://issues.apache.org/jira/browse/CLIMATE-643
>             Project: Apache Open Climate Workbench
>          Issue Type: Improvement
>          Components: general
>    Affects Versions: 1.0.0
>            Reporter: Huikyo Lee
>            Assignee: Huikyo Lee
>             Fix For: 1.0.0
>
>
> Paul L. suggested some ideas to update examples. For example, "knmi_to_cru_full_bias.py"
needs to be updated with better description. The model to model bias could be replaced by
model to observation data bias. The goal is providing 5 examples all based on an actual published
papers. 
> Currently, OCW examples generate wrong results when there is missing data in observational
datasets. It is important to mask those grid points with missing values in model datasets
so that no metrics calculation is done at those grid points. In other words, if any of observation/model
dataset has missing value at a grid point, we need to propagate the missing information to
the other datasets.



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