After some more research, I ended up using the British Met Office 'Iris' package () which can read NetCDF as well as OPeNDAP, GRIB and several other formats, and allows to save as NetCDF or GRIB. Basically the code looks like: import iris cubes = iris.load('input.nc') # each variable in the netcdf file is a cube iris.save(cubes[0],'output.grib2') # save a specific variable to grib But if your netcdf file doesn't contain sufficient metadata, you may need to add it, which you can also do with Iris. Black Sabbath Rapidshare Discography Spine. Here's a full working example.
May 29, 2012. Or you can use PyNio, a Python package that allows to read and write netCDF3 and netCDF4 classic format, and to read GRIB1 and GRIB2 files. I don't know the ammount of data you have, but usually it is crazy to convert it to *.csv! Python is easy to learn, and suitable to work with this kind of data (with. Convert their LAM data to and from the standard format. This document. Consortia are required to develop and provide an adaptor capable of converting. GRIB1 (IFSāALADIN). GRIB2 support. (901 and FULL-POS). Support of new input grids. GRIB2 support. (INT2LM and Fieldextra).