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Package for process-oriented climate modeling

Project description

Python package for process-oriented climate modeling

| **Brian E. J. Rose**
| Department of Atmospheric and Environmental Sciences
| University at Albany


or, if you are developing new code

``python develop``

About climlab
``climlab`` is a flexible engine for process-oriented climate modeling.
It is based on a very general concept of a model as a collection of individual,
interacting processes. ``climlab`` defines a base class called ``Process``, which
can contain an arbitrarily complex tree of sub-processes (each also some
sub-class of ``Process``). Every climate process (radiative, dynamical,
physical, turbulent, convective, chemical, etc.) can be simulated as a stand-alone
process model given appropriate input, or as a sub-process of a more complex model.
New classes of model can easily be defined and run interactively by putting together an
appropriate collection of sub-processes.

Most of the actual computation uses vectorized ``numpy`` array functions.
It should run out-of-the-box on a standard scientific Python distribution.
Future versions of ``climlab`` will provide hooks to compiled Fortran code for
more numerically intensive processes.

Currently, ``climlab`` has out-of-the-box support and documented examples for

- 1D grey-radiation and radiative-convective single column models
- 1D diffusive energy balance models
- Seasonal and steady-state models
- orbital / insolation calculations.

Example usage
The directory ``climlab/courseware/`` contains a collection of IPython notebooks (*.ipynb)
used for teaching some basics of climate science,
and documenting use of the ``climlab`` package.
These are self-describing, and should all run out-of-the-box once the package is installed, e.g:

``ipython notebook Insolation.ipynb``

The first versions of the code and notebooks were originally developed in winter / spring 2014
in support of an undergraduate course at the University at Albany.
See the original course webpage at

The package and its API was completely redesigned around a truly object-oriented
modeling framework in January 2015.

It will be used extensively for a graduate-level climate modeling course in Spring 2015:

This code is freely available under the MIT license.
See the accompanying LICENSE file.

Project details

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