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

Niño 3.4 index

Documentation

• Homepage: https://fzhu2e.github.io/LMRt
• Installation: https://fzhu2e.github.io/LMRt/installation.html
• Tutorial (html): https://fzhu2e.github.io/LMRt/tutorial.html
• Tutorial (Jupyter notebooks): https://github.com/fzhu2e/LMRt/tree/master/docsrc/tutorial

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. J., Hakim, G. J., Wittenberg, A. T., Morales, M. S., Toohey, M., & King, J. (2022). A re-appraisal of the ENSO response to volcanism with paleoclimate data assimilation. Nature Communications, 13(1), 747. https://doi.org/10.1038/s41467-022-28210-1

How to cite

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

@article{zhu_re-appraisal_2022,
    title = {A re-appraisal of the {ENSO} response to volcanism with paleoclimate data assimilation},
    volume = {13},
    issn = {2041-1723},
    url = {https://www.nature.com/articles/s41467-022-28210-1},
    doi = {10.1038/s41467-022-28210-1},
    language = {en},
    number = {1},
    journal = {Nature Communications},
    author = {Zhu, Feng and Emile-Geay, Julien and Anchukaitis, Kevin J. and Hakim, Gregory J. and Wittenberg, Andrew T. and Morales, Mariano S. and Toohey, Matthew and King, Jonathan},
    month = feb,
    year = {2022},
    pages = {747},
}

@article{zhu_resolving_2020,
    title = {Resolving the {Differences} in the {Simulated} and {Reconstructed} {Temperature} {Response} to {Volcanism}},
    volume = {47},
    issn = {1944-8007},
    url = {https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2019GL086908},
    doi = {10.1029/2019GL086908},
    language = {en},
    number = {8},
    journal = {Geophysical Research Letters},
    author = {Zhu, Feng and Emile‐Geay, Julien and Hakim, Gregory J. and King, Jonathan and Anchukaitis, Kevin J.},
    year = {2020},
    pages = {e2019GL086908},
}