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Cloudnetpy

Python package for Cloudnet data processing

Install / Use

/learn @actris-cloudnet/Cloudnetpy
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

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

To verify the installation:

cloudnetpy --help

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

Related Skills

View on GitHub
GitHub Stars49
CategoryDevelopment
Updated9h ago
Forks32

Languages

Python

Security Score

90/100

Audited on Mar 25, 2026

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