cfr: a Python package for Climate Field Reconstruction
cfr aims to provide a universal framework for climate field reconstruction (CFR).
It provides a toolkit for
- the processing and visualization of the proxy records, climate model simulations, and instrumental observations,
- the calibration and running of the proxy system models (PSMs, Evans et al., 2013),
- the preparation and running of the multiple reconstruction frameworks/algorithms, such as LMR (Hakim et al., 2016; Tardif et al., 2019) and GraphEM (Guillot et al., 2015), and
- the validation of the reconstructions, etc.
For more details, please refer to the documentation linked below.
Documentation
- Homepage: https://fzhu2e.github.io/cfr
- Installation: https://fzhu2e.github.io/cfr/ug-installation.html
Metadata
Release files for cfr 2026.6.25.14
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| cfr-2026.6.25.14.tar.gz | 108.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| cfr-2026.6.25.14-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 221.6 kB
Release files / cfr-2026.6.25.14.tar.gz
| Download URL | cfr-2026.6.25.14.tar.gz |
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| Size | 108.1 kB |
| Tags | Source |
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Release files / cfr-2026.6.25.14-py3-none-any.whl
| Download URL | cfr-2026.6.25.14-py3-none-any.whl |
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| Size | 113.5 kB |
| Tags | Python 3 |
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