Installation guide

A step-by-step instructions to follow in order to install all the required packages and tools.
Example of installation in a Debian 8 as root:
  1. as root
    2. $ su
  2. install subversion, version control packages
    3. # apt-get install subversion
  3. install GIT, different paradigm version control
    4. # apt-get install git
  4. get python and its necessary applications
    5. # apt-get install python python-scipy python-numpy cython cython-dbg
  5. get netcdf libraries tools and applications (cdo and nco are also installed maybe not required...)
    6. # apt-get install netcdf-bin netcdf-dbg libnetcdf-dev netcdf-doc libnetcdff-dbg libnetcdff-dev libnetcdff-doc ncview cdo nco
  6. get hdf5
    7. # apt-get install libhdf5-dev
  7. install matplotlib and basemap in order to plot and drow maps
    8. # apt-get install python-matplotlib python-matplotlib-data python-matplotlib-doc python-mpltoolkits.basemap python-mpltoolkits.basemap-data
  8. install system tools (Scripts use LATEX interface for titles and labels)
    9. # apt-get install dvipng
  9. install netcdf4, python API interface to netCDF files
    1. Some new linux distributions (at least Debian >8) provide the netcdf4 API in the package systems:
      2. # apt-get install python-netcdf4
    2. Otherwise, it can be manually done. Be careful with interferences with anaconda (some issues on mixture of netcdf libraries have been detected). Make sure, that if you use anaconda, that the netcdf libraries installed are with netcdf4 capabilities.
      • Following https://github.com/Unidata/netcdf4-python)
        • # git clone https://github.com/Unidata/netcdf4-python.git
        cd netcdf4-python/
      • Editing `setup.cfg' to add/change some values (there are installation issues if `nc-config' is used along installation)
        • 
use_ncconfig=False
netCDF4_dir = /usr/local
HDF5_dir = /usr/local
HDF5_libdir = /usr/lib/x86_64-linux-gnu/hdf5/serial
HDF5_INCDIR = /usr/include/hdf5/serial
        # python setup.py build >& run_pysetup.log
        # python setup.py install >& run_pyinstall.log
  10. Getting the scripts, no need to be root:
    11. # exit
    $ cd $HOME
    $ svn co http://svn.lmd.jussieu.fr/LMDZ_WRF/trunk/tools PyNCplot
  11. Now all the scripts are held in ${HOME}/PyNCplot. It might be desirable to set an environment variable to make life easier:
    $ export pyHOME=${HOME}/PyNCplot
  12. Finally one need to compile the Fortran modules using the same python to run the scripts. This is done using a standard `Makefile' and the tool f2py to link Fortran compiled codes to python. There are different versions for different LMD/IPSL and French HPC machines. For a standard linux 64-bits machine (debain 9 with gcc compilers) there is one example as `Makefile.llamp'. Take one and specify a series of different variables specifically for the given machine
    FC = gfortran # Fortran compiler
    F2PY = /usr/bin/f2py # Path to the f2py tool
    NCLIBFOLD = /usr/lib/x86_64-linux-gnu # Path to netcdf libraries
    NCINCFOLD = /usr/include # Path to netcdf includes
  13. Then one only needs to link the Makefile and compile
    14. $ ln -s Makefile.[machine].[compiler] ./Makefile
    $ make >& run_make.log
  14. At the end one should have: