Tools for accessing RCMIP data
Project description
pyrcmip is a tool for validating and uploading results to RCMIP. The Reduced Complexity Model Intercomparison Project (RCMIP) is a project to evaluate reduced-complexity (also known as simple) climate models and compare them against CMIP coupled models.
Installation
The easiest way to install pyrcmip is with pip. At this stage pyrcmip only supports Python 3.6+.
# if you're using a virtual environment, make sure you're in it pip install pyrcmip
Documentation
Documentation can be found at our documentation pages (we are thankful to Read the Docs for hosting us).
Contributing
If you’d like to contribute, please make a pull request! The pull request templates should ensure that you provide all the necessary information.
License
pyrcmip is free software under a BSD 3-Clause License, see LICENSE.
If you make use of pyrcmip or any of the RCMIP project, please cite the articles provided in citations.bib.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file pyrcmip-2.0.5.tar.gz.
File metadata
- Download URL: pyrcmip-2.0.5.tar.gz
- Upload date:
- Size: 361.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
97e019cf45e1c7912284be32e192d0fdb90100f84895a696797d27f610656a63
|
|
| MD5 |
0589cae3f9704ba7f7d5bfa8cbc9cf9e
|
|
| BLAKE2b-256 |
71e331d7937b1b6c3e20529545e380aafbc9751c11d4f7d5847853c73dd181b1
|
File details
Details for the file pyrcmip-2.0.5-py2.py3-none-any.whl.
File metadata
- Download URL: pyrcmip-2.0.5-py2.py3-none-any.whl
- Upload date:
- Size: 343.3 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
5dcf9e79ab9440f1a9044101d4d18678a1a4c27cb7fe7a3519938cd7e4a6bdcc
|
|
| MD5 |
fe6673ede3c6bd94618d09b692a1a10f
|
|
| BLAKE2b-256 |
fe02f72a19b9cca45aaf10af73d578df574366186b282928d24bc606abce1bb2
|
