aprp | code and sample data to perform APRP calculations

by mzelinka Jupyter Notebook Version: v1.0 License: BSD-3-Clause

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kandi X-RAY | aprp Summary

aprp is a Jupyter Notebook library. aprp has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

A python script and some sample data are provided that demonstrate how to use the approximate partial radiative perturbation (APRP) technique to compute TOA SW radiation anomalies due to changes in individual components of the climate system. Sample data are from a short (2-year) period of MPI-ESM-LR using the difference between sstClimAerosol and sstClim runs. One should difference longer periods for more robust results -- these are just for demonstrative purposes.

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Support

aprp has a low active ecosystem.

It has 3 star(s) with 5 fork(s). There are 2 watchers for this library.

It had no major release in the last 12 months.

There are 0 open issues and 1 have been closed. On average issues are closed in 39 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of aprp is v1.0

Quality

aprp has no bugs reported.

Security

aprp has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

aprp is licensed under the BSD-3-Clause License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

aprp releases are available to install and integrate.

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aprp Key Features

No Key Features are available at this moment for aprp.

aprp Examples and Code Snippets

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Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install aprp

You can download it from GitHub.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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