RCMES cannot handle NCEP reanalysis and GCM data

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.