Metadata-Version: 2.1
Name: cfr
Version: 2024.4.3
Summary: cfr: a Python package for Climate Field Reconstruction
Home-page: https://github.com/fzhu2e/cfr
Author: Feng Zhu, Julien Emile-Geay
Author-email: fengzhu@ucar.edu, julieneg@usc.edu
License: BSD 3-Clause
Keywords: climate field reconstruction
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Description-Content-Type: text/x-rst
License-File: LICENSE
Requires-Dist: colorama
Requires-Dist: seaborn
Requires-Dist: pandas
Requires-Dist: tqdm
Requires-Dist: xarray
Requires-Dist: netCDF4
Requires-Dist: nc-time-axis
Requires-Dist: dask
Requires-Dist: statsmodels
Requires-Dist: eofs
Requires-Dist: plotly
Requires-Dist: pyresample
Provides-Extra: psm
Requires-Dist: pathos; extra == "psm"
Requires-Dist: fbm; extra == "psm"
Requires-Dist: pyvsl; extra == "psm"
Provides-Extra: ml
Requires-Dist: scikit-learn; extra == "ml"
Requires-Dist: torch; extra == "ml"
Requires-Dist: torchvision; extra == "ml"
Provides-Extra: graphem
Requires-Dist: cython; extra == "graphem"
Requires-Dist: scikit-learn; extra == "graphem"
Requires-Dist: cfr-graphem; extra == "graphem"

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# `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](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

## How to cite this repo

This repo can be cited with DOI: [10.5281/zenodo.7855587](https://doi.org/10.5281/zenodo.7855587)
