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        "description": "# CloudnetPy\n\n![](https://github.com/actris-cloudnet/cloudnetpy/workflows/CloudnetPy%20CI/badge.svg)\n[![Documentation Status](https://readthedocs.org/projects/cloudnetpy/badge/?version=latest)](https://cloudnetpy.readthedocs.io/en/latest/?badge=latest)\n[![PyPI version](https://badge.fury.io/py/cloudnetpy.svg)](https://badge.fury.io/py/cloudnetpy)\n[![DOI](https://zenodo.org/badge/233602651.svg)](https://zenodo.org/badge/latestdoi/233602651)\n[![status](https://joss.theoj.org/papers/959971f196f617dddc0e7d8333ff22b7/status.svg)](https://joss.theoj.org/papers/959971f196f617dddc0e7d8333ff22b7)\n\nCloudnetPy is a Python software for producing vertical profiles of cloud properties from ground-based\nremote sensing measurements. The Cloudnet processing combines cloud radar, optical lidar, microwave\nradiometer and model data. Measurements and model data are brought into common grid and\nclassified as ice, liquid, aerosol, insects, and so on.\nThen, geophysical products such as ice water content can be\nretrieved in the further processing steps. See [Illingworth et. al. (2007)](https://doi.org/10.1175/BAMS-88-6-883) for more details about the concept.\n\nCloudnetPy is a rewritten version of the original Cloudnet Matlab code. CloudnetPy features several revised methods, extensive documentation, and more.\n\n* CloudnetPy documentation: https://cloudnetpy.readthedocs.io/en/latest/\n* Cloudnet data portal: https://cloudnet.fmi.fi\n\n![CloudnetPy example output](https://raw.githubusercontent.com/actris-cloudnet/cloudnetpy/master/docs/source/_static/20190423_mace-head_classification.png)\n\n## Installation\n\n### From PyPI\n```\npython3 -m pip install cloudnetpy\n```\n\n### From the source\n```sh\ngit clone https://github.com/actris-cloudnet/cloudnetpy\ncd cloudnetpy/\npython3 -m venv venv\nsource venv/bin/activate\npython3 -m pip install --upgrade pip\npython3 -m pip install .\n```\n\n## Citing\nIf you wish to acknowledge CloudnetPy in your publication, please cite:\n>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\n\n## Contributing\n\nWe encourage you to contribute to CloudnetPy! Please check out the [contribution guidelines](CONTRIBUTING.md) about how to proceed.\n\n## Development\n\nFollow the installation instructions from the source above but instead of `pip install .` install with the test-dependencies and [pre-commit](https://pre-commit.com/) hooks:\n```sh\npython3 -m pip install -e .[test,dev]\npre-commit install\n```\n\nRun unit tests:\n```sh\npytest\n```\n\nRun end-to-end tests:\n```sh\npython3 tests/e2e_test.py\n```\n\nForce `pre-commit` checks of all files:\n```sh\npre-commit run --all\n```\n\n## License\n\nMIT\n\n\n",
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