Metadata-Version: 2.1
Name: pyconturb
Version: 2.6.3
Summary: An open-source constrained turbulence generator
Home-page: https://gitlab.windenergy.dtu.dk/rink/pyconturb
Author: Jenni Rinker
Author-email: rink@dtu.dk
License: MIT
Description: [![pipeline status](https://gitlab.windenergy.dtu.dk/pyconturb/pyconturb/badges/master/pipeline.svg)](https://gitlab.windenergy.dtu.dk/pyconturb/pyconturb/commits/master)
        [![coverage report](https://gitlab.windenergy.dtu.dk/pyconturb/pyconturb/badges/master/coverage.svg)](https://gitlab.windenergy.dtu.dk/pyconturb/pyconturb/commits/master)
        
        ![PyConTurb](https://gitlab.windenergy.dtu.dk/pyconturb/pyconturb/raw/master/docs/logo.png)
        
        # PyConTurb: Constrained Stochastic Turbulence for Wind Energy Applications
        
        This Python package uses a novel method to generate stochastic turbulence boxes
        that are constrained by one or more measured time series. Details on the theory
        can be found in [this paper from Torque 2016](https://iopscience.iop.org/article/10.1088/1742-6596/1037/6/062032/meta).
        
        Despite the package's name, the main function, `gen_turb` can be used with or
        without constraining time series. Without the constraining time series, it is
        the Veers simulation method.
        
        ## Installation, Examples, Bug Reporting and More
        
        Please see the [documentation website](https://pyconturb.pages.windenergy.dtu.dk/pyconturb/).
        
        ## Source Code
        
        The source code is available on GitLab: https://gitlab.windenergy.dtu.dk/pyconturb/pyconturb
        
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