Metadata-Version: 1.1
Name: climlab
Version: 0.2.1
Summary: Package for process-oriented climate modeling
Home-page: http://github.com/brian-rose/climlab
Author: Brian E. J. Rose
Author-email: brose@albany.edu
License: MIT
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.
        
Keywords: climate modeling modelling model ebm radiation radiative-convective earth
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 2.7
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Atmospheric Science
