This page documents the use of the Python Radiative Transfer Modelling wrappers and their associated programs, originally developed by Philip Schleihauf for the Queen's Applied Sustainability Lab in 2012. Source code is available on GitHub: https://github.com/Queens-Applied-Sustainability.
The software was developed on Ubuntu Linux 12.04 and Solaris Unix 9. It might run on any unix-compatible environment (say, Windows with CygWin, etc.), but others have not been tested.
Required software for the wrappers includes:
* SMARTS installed on the system `PATH` as `smarts295` * SBdart installed on the system `PATH` as `sbdart` * Python 2.6.x or 2.7.x. Support for Python 3 is experimental. * Numpy
The wrappers should be functional with those basic requirements. Further packages to make your life easier are noted in the setup and reference documentation.