Metadata-Version: 1.1
Name: pycomlink
Version: 0.2.0a0
Summary: Python tools for MW link data processing
Home-page: https://github.com/pycomlink/pycomlink
Author: Christian Chwala
Author-email: christian.chwala@kit.edu
License: BSD
Download-URL: https://github.com/pycomlink/pycomlink/archive/0.2.0.tar.gz
Description: pycomlink
        =========
        
        A python toolbox for deriving rainfall information from commerical microwave link (CML) data.
        
        Installation
        ------------
        
        `pycomlink` works with Python 2.7 and can be installed via `pip`. However, since one of its dependencies, `numba` is easiest to install via the [Anaconda Python distribution](https://store.continuum.io/cshop/anaconda/), we recommend to install Anaconda Python first and then do
        
            $ conda install numba
            $ pip install pycomlink
        
        To run the example notebooks you will also need the [Jupyter Notebook](https://jupyter.org/) and `ipython`, both also available via `conda` or `pip`.
        
        Usage
        -----
        
         * Jupyter notebook on [how to get started with CML data from a CSV file](http://nbviewer.jupyter.org/github/pycomlink/pycomlink/blob/master/notebooks/Use%20CML%20data%20from%20CSV%20file.ipynb)
         * More examples to come...
        
        Features
        --------
         * Read and write the [common data format `cmlh5` for CML data](https://github.com/cmlh5/cmlh5)
         * Quickly visualize the CML network on a dynamic map
         * Perform all required CML data processing steps to derive rainfall information from raw signal levels:
            * data sanity checks
            * wet/dry classification
            * baseline calculation
            * wet antenna correction
            * transformation from attenuation to rain rate
         * Generate rainfall maps from the data of a CML network
         * Validate you results against gridded rainfall data or rain gauges networks
        
Keywords: microwave links precipitation radar
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Topic :: Scientific/Engineering :: Atmospheric Science
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python :: 2.7
