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Towerpy is an open-source toolbox for processing polarimetric weather radar data

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# :satellite: TOWERPY
Towerpy is an open-source toolbox designed for reading, processing and displaying polarimetric weather radar data.

# ⚠️ Towerpy 2.0

**Towerpy 2.0 (xarray rewrite) is under active development.**
> **The latest stable release is `1.1.0`.**  
> The xarray rewrite lives in the [`xarray-port`](ca://s?q=Explain_xarray_port_branch_role) branch and is not yet available on PyPI or conda.  
> If you want to test or contribute to the 2.0 development version, install it directly from GitHub.

# :books: Documentation
[![Documentation Status](https://readthedocs.org/projects/towerpy/badge/?version=latest)](https://towerpy.readthedocs.io/en/latest/?badge=latest)

You can find more details about _Towerpy_ [here](https://towerpy.readthedocs.io/en/latest/).

# :speech_balloon: Citing
If you find _towerpy_ useful for a scientific publication, please consider citing the [towerpy paper](https://doi.org/10.1016/j.envsoft.2023.105746):

BibTeX:

@article{sanchezrivas2023, title = {{Towerpy: An open-source toolbox for processing polarimetric weather radar data}},
       journal = {Environmental Modelling & Software}, pages= {105746}, year = {2023}, issn = {1364-8152},
       doi = {https://doi.org/10.1016/j.envsoft.2023.105746}, author = {Daniel Sanchez-Rivas and Miguel Angel Rico-Ramirez},
       keywords = {Weather radar, Polarimetry, Radar QPE, Radar research applications, Open source}}

# :hammer: Installing towerpy
To ensure a smooth installation of towerpy, we strongly recommend using **conda**, the open-source Python package management system. [Download](https://www.anaconda.com/) and install Anaconda to get conda and other essential data science and machine learning packages.

Once Anaconda is installed and working, we recommend adding the [conda-forge channel](https://conda-forge.org/) to the top of the channel list::

conda config --add channels conda-forge

Strict channel priority can dramatically speed up conda operations and also reduce package incompatibility problems. We recommend setting channel priority to "strict" using::

conda config --set channel_priority strict

Create a new environment to install towerpy::
    
    conda create -n towerpy python=3.10

Activate the new environment::

conda activate towerpy

Install the latest version of Towerpy by choosing ONE of the following options:

(1) Downloading and installing Towerpy from Anaconda.org::
    
    conda install -c towerpy towerpy

(2) Downloading and installing Towerpy from GitHub (here we have the latest release)::

python -m pip install --upgrade git+https://github.com/uobwatergroup/towerpy.git@main

(3) Downloading and installing Towerpy from the Python Package Index (PyPI)::
    
    python -m pip install towerpy-rd

Finally, install other additional dependencies helpful for scientific computing::

conda install -c conda-forge ipython jupyter sympy spyder scikit-learn wradlib

## Installing from source

Optionally, you can get the towerpy source code from the [GitHub repository](https://github.com/uobwatergroup/towerpy).

Either download and unpack the zip file of the source code or use git to clone the repository::

git clone https://github.com/uobwatergroup/towerpy.git

Once inside the folder where _towerpy_ was downloaded, it can be installed by using pip::

python -m pip install .

Or install Towerpy in “editable” mode::

python -m pip install -e .

# :snake: Dependencies

## The following dependencies are required to work with _towerpy_:

Package | Required
------------ | -------------
xarray       | v2025.6.1+
NumPy        | v1.21+
SciPy        | v1.7.1+
Matplotlib   | v3.5.2+
Cartopy      | v0.19+
netCDF4      | v1.5.8+

\*Some modules within _towerpy_ run using shared objects/dynamic link libraries (.so, .dll). These libraries are automatically installed during the _towerpy_ installation.

# :thought_balloon: Missing a specific feature? Found a bug?
Feel free to post a message to our [discussions page](https://github.com/uobwatergroup/towerpy/discussions) or have a look at our [contribution guidelines](.github/CONTRIBUTING.md) to find out about our coding standards.

# :construction_worker: Team
Towerpy is created and maintained by 
[Daniel Sanchez-Rivas](https://scholar.google.com/citations?user=NQSB5-8AAAAJ&hl=en)<a itemprop="sameAs" content="https://orcid.org/0000-0001-9356-6641" href="https://orcid.org/0000-0001-9356-6641" target="orcid.widget" rel="me noopener noreferrer" style="vertical-align:top;"><img src="https://orcid.org/sites/default/files/images/orcid_16x16.png" style="width:1em;margin-right:.5em;" alt="ORCID iD icon"></a></div> and [Miguel A Rico-Ramirez](https://research-information.bris.ac.uk/en/persons/miguel-a-rico-ramirez)<a itemprop="sameAs" content="https://orcid.org/0000-0002-8885-4582" href="https://orcid.org/0000-0002-8885-4582" target="orcid.widget" rel="me noopener noreferrer" style="vertical-align:top;"><img src="https://orcid.org/sites/default/files/images/orcid_16x16.png" style="width:1em;margin-right:.5em;" alt="ORCID iD icon"></a></div>

[![Sparkline](https://stars.medv.io/uobwatergroup/towerpy.svg)](https://stars.medv.io/uobwatergroup/towerpy)

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