cfr

Name	cfr JSON
Version	2024.4.17 JSON
	download
home_page	https://github.com/fzhu2e/cfr
Summary	cfr: a Python package for Climate Field Reconstruction
upload_time	2024-04-18 01:30:03
maintainer	None
docs_url	None
author	Feng Zhu, Julien Emile-Geay
requires_python	None
license	BSD 3-Clause
keywords	climate field reconstruction
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            [![PyPI version](https://badge.fury.io/py/cfr.svg)](https://badge.fury.io/py/cfr)
[![PyPI](https://img.shields.io/badge/python-3.11-blue.svg)]()
[![license](https://img.shields.io/github/license/fzhu2e/cfr.svg)]()
[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.7855587.svg)](https://doi.org/10.5281/zenodo.7855587)

# `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)

            

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