Skip to main content

LMR turbo

Project description

https://zenodo.org/badge/DOI/10.5281/zenodo.2655097.svg https://img.shields.io/github/last-commit/fzhu2e/LMRt/master https://img.shields.io/github/license/fzhu2e/LMRt https://img.shields.io/pypi/pyversions/LMRt https://img.shields.io/pypi/v/LMRt.svg

LMR Turbo (LMRt)

LMR Turbo (LMRt) is a lightweight, packaged version of the Last Millennium Reanalysia (LMR) framework, inspired by LMR_lite.py originated by Professor Hakim. LMRt aims to provide following extra features:

  • a package that is easy to install and import in scripts or Jupyter notebooks
  • modularized workflows at different levels:
    • the low-level workflow focuses on the flexibility and customizability
    • the high-level workflow focuses on the convenience of repeating Monte-Carlo iterations
    • the top-level workflow focuses on the convenience of reproducing an experiment purely based on a given configuration YAML file
  • convenient visualization functionalities for diagnosis and validations (leveraging the Series and EnsembleSeries of the Pyleoclim UI)

A preview of the results

Mean temperature

Mean temperature

Niño 3.4 index

Niño 3.4

References of the LMR framework

  • Hakim, G. J., J. Emile‐Geay, E. J. Steig, D. Noone, D. M. Anderson, R. Tardif, N. Steiger, and W. A. Perkins, 2016: The last millennium climate reanalysis project: Framework and first results. Journal of Geophysical Research: Atmospheres, 121, 6745–6764, https://doi.org/10.1002/2016JD024751.
  • Tardif, R., Hakim, G. J., Perkins, W. A., Horlick, K. A., Erb, M. P., Emile-Geay, J., et al. (2019). Last Millennium Reanalysis with an expanded proxy database and seasonal proxy modeling. Climate of the Past, 15(4), 1251–1273. https://doi.org/10.5194/cp-15-1251-2019

Published studies using LMRt

  • Zhu, F., Emile‐Geay, J., Hakim, G. J., King, J., & Anchukaitis, K. J. (2020). Resolving the Differences in the Simulated and Reconstructed Temperature Response to Volcanism. Geophysical Research Letters, 47(8), e2019GL086908. https://doi.org/10.1029/2019GL086908
  • Zhu, F., Emile-Geay, J., Anchukaitis, K., Hakim, G., Wittenberg, A., Morales, M., & King, J. (2021). Volcanoes and ENSO: a re-appraisal with the Last Millennium Reanalysis. https://doi.org/10.21203/rs.3.rs-130239/v1

How to cite

If you find this package useful, please cite it with DOI: 10.5281/zenodo.2655097

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

LMRt-0.7.13.tar.gz (49.0 kB view hashes)

Uploaded source

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page