cfr 2024.8.1

cfr: a Python package for Climate Field Reconstruction

[](https://badge.fury.io/py/cfr) []() []() [](https://doi.org/10.5281/zenodo.7855587)

# 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