CloudnetPy

CloudnetPy CI PyPI version DOI status

CloudnetPy is Python software designed for producing vertical profiles of cloud properties from ground-based remote sensing measurements. The Cloudnet processing combines data from cloud radar, optical lidar, microwave radiometer, and numerical weather prediction models. Measurements and model data are brought into a common grid and classified as ice, liquid, aerosol, insects, and so on. Subsequently, geophysical products such as ice water content can be retrieved in further processing steps. See Illingworth et al. (2007) for more details about the concept.

CloudnetPy is a rewritten version of the original Cloudnet MATLAB code. It features several revised methods, extensive documentation, and more.

CloudnetPy example output

Installation

Option 1: From PyPI

python3 -m pip install cloudnetpy

Option 2: From the source

git clone https://github.com/actris-cloudnet/cloudnetpy
cd cloudnetpy/
python3 -m venv venv
source venv/bin/activate
python3 -m pip install --upgrade pip
python3 -m pip install .

Verification

Verify the installation by running cloudnetpy --help.

Command-line usage

CloudnetPy ships with a cloudnetpy console script that fetches data from the Cloudnet data portal, runs the requested processing steps, and writes netCDF files (and optionally plots) to disk:

cloudnetpy --site munich --date 2023-07-29 --products radar --show
cloudnetpy --site kenttarova --date 2025-07-29 --products classification --show
cloudnetpy -s kenttarova -d 2025-05-28 -p l3-cf -m harmonie-fmi-6-11 --show

See the command-line usage documentation for instrument selection, different products, plotting, and all options.

Citing

If you wish to acknowledge CloudnetPy in your publication, please cite:

Tukiainen et al., (2020). CloudnetPy: A Python package for processing cloud remote sensing data. Journal of Open Source Software, 5(53), 2123, https://doi.org/10.21105/joss.02123

Contributing

We encourage you to contribute to CloudnetPy! Please check out the contribution guidelines about how to proceed.

Development

Follow the installation instructions from the source above but install with the development dependencies and pre-commit hooks:

python3 -m pip install -e .[dev,test]
pre-commit install

Run unit tests:

python3 -m pytest
python3 -m pytest tests/unit/test_hatpro.py

Run end-to-end tests:

python3 tests/e2e_test.py
for f in cloudnetpy/model_evaluation/tests/e2e/*/main.py; do $f; done

Force pre-commit checks (ruff, mypy, etc.) for all files:

pre-commit run --all

License

MIT

Project links

Data verified by PyPI on Aug 13, 2026
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

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  • Released:
Newer release available (1.94.6)

Owner

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Data sourced directly from PyPI's database.

Credits

Author: Simo Tukiainen

GitHub Statistics

Data verified by PyPI on Aug 13, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License

MIT License (MIT License)

Requires

Python >=3.10

Provides Extra

test dev extras

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