.. _systemrequirements:
System Requirements
======================
The CarbonTracker DAS is programmed in python and uses it built-in functionality for many of its tasks.
Users of CTDAS are required to have a python installation on their system, with a small set of
open source add-ons. The minimum requirements are listed below, categorized by functionality.
Getting the CTDAS code
----------------------
* A working ``subversion`` (SVN) installation is needed, to check your system type::
$ svn --version
if the system returns an error, or a version < 1.5.0, please obtain svn from
Running CTDAS
-------------
* A ``python2.4`` or later installation.
.. note:: ``python3`` is not supported, one needs a python2.x version. To check your python version type::
$ python --version
* The python module ``numpy``, not included with a standard installation. You can obtain numpy from
* The python module ``netCDF4`` created by Jeff Whitaker. This package is freely available at
Atmospheric Transport
---------------------
An important component of the CTDAS system is the observation operator, usually in the form of an atmospheric
transport model. This model is a stand-alone piece of code that can subsample your state vector, and return a
set of observations. **You therefore require an atmospheric transport model that can run indepently on your
platform**. All examples on these pages assume you have access to the TM5 transport model.
.. important:: If you do not currently have access to such a transport model, or have no resources to run such a model
for long periods of time and for many ensemble configurations, you have probably stumbled onto this page not
understanding exactly what CTDAS is. We refer you to the :ref:`overview` for a more elaborate description.
The TM5 transport model requires:
* Fortran 90
* MPI, HDF4, HDF5, NetCDF4, LAPACK libraries
* parallel computing capabilities (16-100 CPUs recommended)
* Meteorological driver data (260 Gb of storage for each year of input data)
Analysis of results
-------------------
Although many packages can be used to perform analyses (IDL, MatLAB, GRADS, ...) we have included standard routines for python. Recommended system configuration for these is:
* python 2.5 or higher
* numpy
* matplotlib
* basemap
* netCDF4