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https://issues.apache.org/jira/browse/CLIMATE-508?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14511478#comment-14511478
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ASF GitHub Bot commented on CLIMATE-508:
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Github user huikyole commented on the pull request:
https://github.com/apache/climate/pull/112#issuecomment-96025655
I still wonder why we prioritize the changes in #112 over major bug in the
time decoding and seasonal average. Some critical bugs in
calc_climatology_season in utils.py were discussed and resolved two years ago
in one of the subversion hosted on a JPL server. Why does every dataset need to
have time dimension whose length is a multiple of 12 to calculate its seasonal
average?
> Adding statistical downscaling capability
> -----------------------------------------
>
> Key: CLIMATE-508
> URL: https://issues.apache.org/jira/browse/CLIMATE-508
> Project: Apache Open Climate Workbench
> Issue Type: Improvement
> Components: metrics
> Affects Versions: 0.5
> Reporter: Huikyo Lee
> Assignee: Huikyo Lee
> Fix For: 1.0.0
>
>
> Three metrics will be added for statistically downscaling model outputs with
> observational data.
> 1. Delta method
> 2. Quantile mapping
> 3. Quantile regression
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