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https://issues.apache.org/jira/browse/CLIMATE-186?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13704113#comment-13704113
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Kim, Jinwon commented on CLIMATE-186:
-------------------------------------

To Alex' points to 3:

Another problem is we may have to use different calendars for the observation 
(true calendar) and model (can be one of the three) data. With climate 
simulation data, especially from GCMs with their own calendar, the 
analysis/evaluation must be carefully designed. Monthly means are OK. For daily 
data, statistical properties must be calculated separately for obs and model 
using their own calendar for comparison. As you all know well already, direct 
comparison of the obs and model daily time series (e.g., temporal correlation 
coff; rmse between two time series) is generally meaningless even when the 
simulation is driven by the observed SST.
                
> 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: Huikyo Lee
>            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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