Package for process-oriented climate modeling
Project description
================
climlab
================
----------
Python package for process-oriented climate modeling
----------
Author
--------------
| **Brian E. J. Rose**
| Department of Atmospheric and Environmental Sciences
| University at Albany
| brose@albany.edu
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.
climlab
================
----------
Python package for process-oriented climate modeling
----------
Author
--------------
| **Brian E. J. Rose**
| Department of Atmospheric and Environmental Sciences
| University at Albany
| brose@albany.edu
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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