pens

Utilities for comparing paleoclimate reconstruction ensembles

https://github.com/linkedearth/pens

Science Score: 49.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 9 DOI reference(s) in README
  • Academic publication links
    Links to: zenodo.org
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (6.3%) to scientific vocabulary

Keywords

ensembles paleoclimate-reconstruction
Last synced: 6 months ago · JSON representation

Repository

Utilities for comparing paleoclimate reconstruction ensembles

Basic Info
  • Host: GitHub
  • Owner: LinkedEarth
  • License: gpl-3.0
  • Language: Jupyter Notebook
  • Default Branch: main
  • Homepage: https://linked.earth/pens
  • Size: 136 MB
Statistics
  • Stars: 5
  • Watchers: 4
  • Forks: 0
  • Open Issues: 0
  • Releases: 1
Topics
ensembles paleoclimate-reconstruction
Created about 4 years ago · Last pushed 11 months ago
Metadata Files
Readme License Citation

README.md

PyPI version PyPI license DOI NSF 1948822

pens: utilities for comparing paleoclimate reconstruction ensembles

pens provides a tools for comparing paleoclimate reconstruction ensembles to each other and to other traces, as used in Emile-Geay et al. (2025).

[!NOTE] If you use pens in any way for your publications, please cite: + Emile-Geay, J., Hakim, G.J., Viens, F., Zhu, F., Amrhein, D.E., 2025. Temporal Comparisons Involving Paleoclimate Data Assimilation: Challenges and Remedies. Journal of Climate. https://doi.org/10.1175/JCLI-D-24-0101.1 + Zhu, F., & Emile-Geay, J. (2024). pens: Utilities for comparing paleoclimate reconstruction ensembles (2024.12.11). Zenodo. https://doi.org/10.5281/zenodo.14397028

The authors gratefully acknowledge funding from grant 1948822 by the National Science Foundation.

Documentation

  • Homepage: http://linked.earth/pens
  • Installation: https://linked.earth/pens/ug-installation.html
  • Notebooks: https://linked.earth/pens/ug-eg25.html

Owner

  • Name: LinkedEarth
  • Login: LinkedEarth
  • Kind: organization
  • Email: linkedearth@gmail.com
  • Location: Los Angeles, CA

GitHub Events

Total
  • Release event: 1
  • Push event: 22
  • Create event: 2
Last Year
  • Release event: 1
  • Push event: 22
  • Create event: 2

Dependencies

setup.py pypi
  • cftime *
  • dask *
  • more_itertools *
  • pandas *
  • properscoring *
  • pyleoclim *
  • scikit-learn *
  • statsmodels *
  • stochastic *
  • termcolor *
  • tqdm *
  • xarray *