| Name | skretrieval JSON |
| Version |
2025.1.0
JSON |
| download |
| home_page | None |
| Summary | The University of Saskatchewan Retrieval Framework |
| upload_time | 2025-01-14 14:51:44 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.7 |
| license | MIT |
| keywords |
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| VCS |
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| bugtrack_url |
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| requirements |
No requirements were recorded.
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| Travis-CI |
No Travis.
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| coveralls test coverage |
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# The University of Saskatchewan Retrieval Framework
[](https://anaconda.org/usask-arg/skretrieval)
[](https://pypi.python.org/pypi/skretrieval/)
[](https://skretrieval.readthedocs.io/en/latest/?badge=latest)
[](https://results.pre-commit.ci/latest/github/usask-arg/skretrieval/main)
`skretrieval` is an atmospheric retrieval framework developed at the University of Saskatchewan.
It has been successfully used to retrieved atmospheric properties from satellite instruments such as OSIRIS
and OMPS-LP, as well as numerous. At it's core, `skretrieval` is an optimal estimation framework built around
the [SASKTRAN Radiative Transfer Model](https://github.com/usask-arg/sasktran). Future versions of the framework
are being developed around [Version 2 of the SASKTRAN Model](https://github.com/usask-arg/sasktran2).
## Installation
The preferred method to install SASKTRAN2 is through conda package
```
conda install -c usask-arg -c conda-forge skretrieval
```
alternatively through `pip`,
```
pip install skretrieval
```
The package is tested on Python versions >= 3.10, on Windows/Linux/MacOS platforms.
## Usage
Documentation can be found at https://sasktran2.readthedocs.io/
## License
skretrieval is made available under the MIT license subject to the Commons Clause condition (see license.md). Effectively this is a MIT license restricted for academic, educational, and/or non-profit use, for commercial use please contact the package authors. Commerical level support may also be available for specific applications.
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"description": "# The University of Saskatchewan Retrieval Framework\n[](https://anaconda.org/usask-arg/skretrieval)\n[](https://pypi.python.org/pypi/skretrieval/)\n[](https://skretrieval.readthedocs.io/en/latest/?badge=latest)\n[](https://results.pre-commit.ci/latest/github/usask-arg/skretrieval/main)\n\n`skretrieval` is an atmospheric retrieval framework developed at the University of Saskatchewan.\nIt has been successfully used to retrieved atmospheric properties from satellite instruments such as OSIRIS\nand OMPS-LP, as well as numerous. At it's core, `skretrieval` is an optimal estimation framework built around\nthe [SASKTRAN Radiative Transfer Model](https://github.com/usask-arg/sasktran). Future versions of the framework\nare being developed around [Version 2 of the SASKTRAN Model](https://github.com/usask-arg/sasktran2).\n\n## Installation\nThe preferred method to install SASKTRAN2 is through conda package\n\n```\nconda install -c usask-arg -c conda-forge skretrieval\n```\n\nalternatively through `pip`,\n\n```\npip install skretrieval\n```\nThe package is tested on Python versions >= 3.10, on Windows/Linux/MacOS platforms.\n\n## Usage\nDocumentation can be found at https://sasktran2.readthedocs.io/\n\n## License\nskretrieval is made available under the MIT license subject to the Commons Clause condition (see license.md). Effectively this is a MIT license restricted for academic, educational, and/or non-profit use, for commercial use please contact the package authors. Commerical level support may also be available for specific applications.\n",
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