`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),
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