PMIP 2 & CDAT: curv2curvipcc.py

Program name

curv2curvipcc.py

Author

Jean-Yves Peterschmitt - LSCE - 09/2004

Description

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.

Input:

• File(s) with variables on 12 time steps and a curvilinear grid (and vertical levels).
  
  Note: the script does not perform any time averaging. The 12 time steps in the input files must already have the correct values (e.g. the monthly means must have been computed with an external program, or by using NCO operators).
  
  
• File(s) with coordinates' bounds.
  
  Note: the script can be configured to look for the required coordinates (and coordinates' bounds) in several files, including the input variables files themselves).

Output:

• IPCC like output files (1 variable per file)

Files

Note: the data file do not contain actual temperature values, but a checkers like pattern of 0 and 1 ° C.