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cfr: the Python package for Climate Field Reconstruction

Project description

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.

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