A collection of diagnostic and interpolation routines for use with output from the Weather Research and Forecasting (WRF-ARW) Model.
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Installation
============
Required Dependencies
----------------------
- Python 2.7, 3.4, or 3.5
- numpy (1.9 or later)
- wrapt (1.10 or later)
Highly Recommended Packages
----------------------------
- xarray (0.7.0 or later)
- PyNIO (1.4.3 or later)
- netCDF4-python (1.2.0 or later)
Plotting Packages
-------------------------
- PyNGL (1.4.3 or later)
- matplotlib (1.4.3 or later)
- cartopy (0.13 or later)
- basemap (1.0.8 or later)
Installing via Conda
---------------------
The easiest way to install wrf-python is using
`Conda <http://conda.pydata.org/docs/>`_::
$ conda install -c bladwig wrf-python
Installing via Source Code
--------------------------
Installation via source code will require a Fortran and C compiler in order
to run f2py. You can get them
`here <https://gcc.gnu.org/wiki/GFortranBinaries>`_.
The source code is available via github:
https://github.com/NCAR/wrf-python
To install, change to the wrf-python directory and run::
$ pip install .