pycomlink 0.2.4

Python tools for MW link data processing

[](https://travis-ci.org/pycomlink/pycomlink)

pycomlink

A python toolbox for deriving rainfall information from commerical microwave link (CML) data.

Installation

pycomlink works with Python 2.7 and Python 3.6 and can be installed via pip.

$ pip install pycomlink

However, for using scientific Python packages it is in general recommended to install the [Anaconda Python distribution](https://store.continuum.io/cshop/anaconda/) and use its package manager conda for managing all Python packages. pycomlink is, however, not yet installable via the Anaconda community package channel [conda-forge](https://conda-forge.org/). Hence, it is recommended to install all pycomlink dependencies (listed in requirements.txt) via conda and then use pip to 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

The following jupyter notebooks showcase some use cases of pycomlink

• [How to do baseline determination](http://nbviewer.jupyter.org/github/pycomlink/pycomlink/blob/master/notebooks/Baseline%20determination.ipynb)

• [How to do spatial interpolation of CML rainfall](http://nbviewer.jupyter.org/github/pycomlink/pycomlink/blob/master/notebooks/Spatial%20interpolation.ipynb)

• [How to get started with your CML data from a CSV file](http://nbviewer.jupyter.org/github/pycomlink/pycomlink/blob/master/notebooks/Use%20CML%20data%20from%20CSV%20file.ipynb)

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