Jean-Yves Peterschmitt - LSCE - 09/2004
The curv2curvipcc.py CDAT program can be used to transform
variables on a curvilinear grid to quasi-IPCC output format files: there will be one output
variable per CF
compliant output file and the attributes (coordinates', variable's
and file's attributes) will be those required by IPCC, but the
variable will still be on a curvilinear grid (whereas IPCC requires
the output variables to be defined on rectilinear grids).
The program is currently set up to create monthly means (1 year with 12 time steps) from variables on the ORCA 4 curvilinear grid (OPA ocean model output), but it should be easy to have it work with other curvilinear grids and a different number of time steps.
|Sample input files
ncdump -h BR03_SE_0051_100_grid_T.nc
extra_orca4grid_info.nc.gz (30 Kb)
ncdump -h extra_orca4grid_info.nc
|Sample output file
ncdump -h thetao_O_SE_orcagrid_LSCE_PMIP2_0K_OA.nc
Note: the data file do not contain actual temperature values, but a checkers like pattern of 0 and 1 ° C.