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https://issues.apache.org/jira/browse/CLIMATE-186?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Alex Goodman resolved CLIMATE-186.
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Resolution: Incomplete
(1) and (2) were fixed in r1504982. Will open a new issue for (3) at a later
time.
> RCMES cannot handle NCEP reanalysis and GCM data
> -------------------------------------------------
>
> Key: CLIMATE-186
> URL: https://issues.apache.org/jira/browse/CLIMATE-186
> Project: Apache Open Climate Workbench
> Issue Type: Bug
> Components: regridding
> Affects Versions: 0.1-incubating
> Reporter: Huikyo Lee
> Assignee: Alex Goodman
> Priority: Critical
> Fix For: 0.1-incubating
>
>
> I found some critical bugs while using Jinwon's version 2.1 with CMIP5
> outputs and NCEP DOE reanalysis 2 data.
> They are common problems of 0.1-incubating (RC4) and Jinwon's 2.1
> Currently RCMES cannot properly handle NCEP/NCAR reanalysis or CMIP5 outputs
> 1. longitude issue
> When reading longitude from netcdf files, the modules in files.py
> automatically convert longitudes larger than 180 to negative values. This
> becomes a problem because in GCMs, the longitude array is not monotonically
> increasing any more (0, 2.5, ...., 180, -175, -172.5, -170,.......... -2.5)
> due to the conversion. If we choose North America region, RCMES subsets data
> over the Tibetan Plateau for regridding.
> 2. latitude issue
> In NCEP/NCAR reanalysis, latitude variable (lat) monotonically decreases from
> north to south. With the current version, users must re-order data so that
> latitude values increase monotonically from south to north.
> 3. leap years
> Some CMIP5 GCMs do not consider leap years at all. Our current time decoding
> reading modules cannot handle these model outputs.
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