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# `cfr`: a Python package for Climate Field Reconstruction
> [!NOTE]
> If you use `cfr` in any way for your publications, please cite:
>
> + Zhu, F., Emile-Geay, J., Hakim, G. J., Guillot, D., Khider, D., Tardif, R., & Perkins, W. A. (2024). cfr (v2024.1.26): a Python package for climate field reconstruction. Geoscientific Model Development, 17(8), 3409–3431. https://doi.org/10.5194/gmd-17-3409-2024
> + Zhu, F., Emile-Geay, J., Anchukaitis, K.J., McKay, N.P., Stevenson, S., Meng, Z., 2023. A pseudoproxy emulation of the PAGES 2k database using a hierarchy of proxy system models. Sci Data 10, 624. https://doi.org/10.1038/s41597-023-02489-1
`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](https://doi.org/10.1016/j.quascirev.2013.05.024)),
+ the preparation and running of the multiple reconstruction frameworks/algorithms, such as LMR ([Hakim et al., 2016](https://doi.org/10.1002/2016JD024751); [Tardif et al., 2019](https://doi.org/https://doi.org/10.5194/cp-15-1251-2019)) and GraphEM ([Guillot et al., 2015](https://doi.org/10.1214/14-AOAS794)), 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
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