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https://issues.apache.org/jira/browse/CLIMATE-643?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Huikyo Lee updated CLIMATE-643:
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Description: In many cases, observational and model datasets have different
units for the same variable. We need to update variable_unit_conversion module
is needed in dataset_processor. This new module is based on
water_flux_unit_conversion. (was: 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.)
Component/s: regridding/data processing
Summary: Updating unit conversion function (was: Updating some of
examples)
> Updating unit conversion function
> ----------------------------------
>
> Key: CLIMATE-643
> URL: https://issues.apache.org/jira/browse/CLIMATE-643
> Project: Apache Open Climate Workbench
> Issue Type: Improvement
> Components: general, regridding/data processing
> Affects Versions: 1.0.0
> Reporter: Huikyo Lee
> Assignee: Huikyo Lee
> Fix For: 1.0.0
>
>
> In many cases, observational and model datasets have different units for the
> same variable. We need to update variable_unit_conversion module is needed in
> dataset_processor. This new module is based on water_flux_unit_conversion.
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