Skip to main content

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 analysis/visualization of the proxy records,

  • the processing of the 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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

cfr-0.2.7.tar.gz (74.2 kB view details)

Uploaded Source

File details

Details for the file cfr-0.2.7.tar.gz.

File metadata

  • Download URL: cfr-0.2.7.tar.gz
  • Upload date:
  • Size: 74.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for cfr-0.2.7.tar.gz
Algorithm Hash digest
SHA256 7041e2507f370f4e1163cf606147644fe3331515653be52a991e824df804a9d6
MD5 17869608ab2bb0e3cdad746238fe0037
BLAKE2b-256 884560192d30be415279819fbbda40e52d49cd23e8a09e0f528b9dae6ed88f49

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page