cfr: a Python package for Climate Field Reconstruction

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),

  • 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.


Installation

Installation instructions.

pseudoPAGES2k

An illustration with the pseudoPAGES2k dataset.

Climate

Processing and visualization of the gridded climate model simulations and instrumental observations.

Proxy

Processing and visualization of the proxy records and databases.

PSM

Proxy System Models for multiple proxy types.

LMR

The Last Millennium Reanalysis (LMR) workflows.

GraphEM

The Graphical Expectation Maximization (GraphEM) workflows.

API

The essential API.