[jira] [Updated] (CLIMATE-819) Preserve missing_value mask in dataset processing

["Lewis John McGibbney (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/CLIMATE-819?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Lewis John McGibbney updated CLIMATE-819:
-----------------------------------------
    Fix Version/s:     (was: 1.1.0)
                   1.2.0

> Preserve missing_value mask in dataset processing
> -------------------------------------------------
>
>                 Key: CLIMATE-819
>                 URL: https://issues.apache.org/jira/browse/CLIMATE-819
>             Project: Apache Open Climate Workbench
>          Issue Type: Improvement
>          Components: data sources, regridding/data processing
>    Affects Versions: 1.1.0
>            Reporter: Alex Goodman
>            Assignee: Alex Goodman
>             Fix For: 1.2.0
>
>
> Currently there are at least two cases where the missing data mask is not preserved in the OCW workflow:
> 1) Constructing a Dataset object from multiple netcdf files
> 2) Writing a netcdf file with  {{dataset_processor}} and then using it later
> These can be circumvented if the user remembers the missing_value flag from the raw unprocessed netcdf file(s) and then making a new masked array from it. However it would be nice to preserve this information in the ocw/rcmes workflow!



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