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Composition and Dynamics","monthly_downloads":985,"total_dependent_repos":1,"total_dependent_packages":1,"readme":"# MWRpy\n\n[![MWRpy tests](https://github.com/actris-cloudnet/mwrpy/actions/workflows/test.yml/badge.svg)](https://github.com/actris-cloudnet/mwrpy/actions/workflows/test.yml)\n[![PyPI version](https://badge.fury.io/py/mwrpy.svg)](https://badge.fury.io/py/mwrpy)\n[![DOI](https://zenodo.org/badge/619528669.svg)](https://zenodo.org/doi/10.5281/zenodo.11614185)\n[![paper](https://joss.theoj.org/papers/10.21105/joss.06733/status.svg)](https://doi.org/10.21105/joss.06733)\n\nMWRpy is a Python software to process RPG Microwave Radiometer data and is developed\nat the University of Cologne, Germany as part\nof the [Aerosol, Clouds and Trace Gases Research Infrastructure (ACTRIS)](https://actris.eu/).\n\nThe software features reading raw data, Level 1 quality control, generation of\nLevel 2 data products and visualization and is based on the IDL code\n[mwr_pro](https://zenodo.org/records/7973553).\n\nThe netCDF data format including metadata information, variable names and file naming\nis designed to be compliant with the data structure and naming convention\ndeveloped in the [EUMETNET Profiling Programme E-PROFILE](https://www.eumetnet.eu/).\n\nMWRpy documentation: \u003chttps://actris-cloudnet.github.io/mwrpy/\u003e\n\n![MWRpy example output](https://atmos.meteo.uni-koeln.de/~hatpro/quicklooks/obs/site/jue/tophat/actris/level2/2022/10/29/20221029_juelich_temperature.png)\n\n## Citing\n\nIf you wish to acknowledge MWRpy in your publication, please cite:\n\n\u003e Marke et al., (2024). MWRpy: A Python package for processing microwave radiometer data. Journal of Open Source\n\u003e Software, 9(98), 6733, https://doi.org/10.21105/joss.06733\n\n## Installation\n\nFrom PyPI:\n\n```shell\npython3 -m pip install mwrpy\n```\n\nFrom GitHub:\n\n```shell\ngit clone https://github.com/actris-cloudnet/mwrpy.git\ncd mwrpy\npython3 -m venv venv\nsource venv/bin/activate\npip3 install --upgrade pip\npip3 install .\n```\n\nMWRpy requires Python 3.10 or newer.\n\n## Configuration\n\nThe folder `mwrpy/site_config/` contains configuration files for each instrument\ntype, which defines the input and output data paths etc.\nFor example, this is the [configuration file for RPG-HATPRO](mwrpy/site_config/hatpro.yaml).\n\nThe folders for each site, e.g. `mwrpy/site_config/hyytiala/`, contain a\nsite and instrument specific configuration file (`config.yaml`) and retrieval coefficients.\nFor example, this is the [configuration file for Hyytiälä](mwrpy/site_config/hyytiala/config.yaml).\n\n## Command line usage\n\nMWRpy can be run using the command line tool `mwrpy/cli.py`:\n\n    usage: mwrpy/cli.py [-h] -s SITE [-d YYYY-MM-DD] [--start YYYY-MM-DD]\n                           [--stop YYYY-MM-DD] [-p ...] [{process,plot}]\n\nArguments:\n\n| Short | Long         | Default             | Description                                                                        |\n| :---- | :----------- | :------------------ | :--------------------------------------------------------------------------------- |\n| `-h`  | `--help`     |                     | Show help and exit.                                                                |\n| `-s`  | `--site`     |                     | Site to process data from, e.g, `hyytiala`. Required.                              |\n| `-d`  | `--date`     |                     | Single date to be processed. Alternatively, `--start` and `--stop` can be defined. |\n|       | `--start`    | `current day - 1`   | Starting date.                                                                     |\n|       | `--stop`     | `current day `      | Stopping date.                                                                     |\n| `-p`  | `--products` | 1C01, single, multi | Processed products, e.g, `1C01, 2I02, 2P03, single`, see below.                    |\n\nCommands:\n\n| Command     | Description                                                |\n| :---------- | :--------------------------------------------------------- |\n| `process`   | Process data and generate plots (default).                 |\n| `plot`      | Only generate plots.                                       |\n| `no-plot`   | Only generate products.                                    |\n| `reprocess` | Like `process`, but skips days when data processing fails. |\n\n### Data types\n\n#### Level 1\n\n- 1B01: MWR brightness temperatures from .BRT and .BLB/.BLS files + retrieved spectrum\n- 1B11: IR brightness temperatures from .IRT files\n- 1B21: Weather station data from .MET files\n- 1C01: Combined data type with time corresponding to 1B01\n\n#### Level 2\n\n- 2I01: Liquid water path (LWP)\n- 2I02: Integrated water vapor (IWV)\n- 2I06: Stability Indices\n- 2P01: Temperature profiles from single-pointing observations\n- 2P02: Temperature profiles from multiple-pointing observations\n- 2P03: Absolute humidity profiles\n- 2P04: Relative humidity profiles (derived from 2P01/2P02 + 2P03)\n- 2P07: Potential temperature (derived from 2P01/2P02 + 2P03)\n- 2P08: Equivalent potential temperature (derived from 2P01/2P02 + 2P03)\n- single: Single pointing data product (including 2I01, 2I02, 2I06, 2P01, 2P03, and derived products)\n- multi: Multiple pointing data product (including 2P02, and derived products)\n\n## Licence\n\nMIT\n","funding_links":[],"readme_doi_urls":["https://doi.org/10.21105/joss.06733"],"works":{},"citation_counts":{},"total_citations":0,"keywords_from_contributors":[],"project_url":"https://ost.ecosyste.ms/api/v1/projects/328269","html_url":"https://ost.ecosyste.ms/projects/328269"}