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Python package for process-oriented climate modeling

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climlab

Python package for process-oriented climate modeling

Author

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

Installation

python setup.py

or, if you are developing new code

python setup.py 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

History

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 http://www.atmos.albany.edu/facstaff/brose/classes/ENV480_Spring2014/

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: http://www.atmos.albany.edu/facstaff/brose/classes/ATM623_Spring2015/

License

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

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Python package for process-oriented climate modeling

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  • Jupyter Notebook 94.3%
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