Metadata-Version: 2.1
Name: LMRt
Version: 0.7.9
Summary: LMR turbo
Home-page: https://github.com/fzhu2e/LMRt
Author: Feng Zhu
Author-email: fengzhu@usc.edu
License: GPL-3.0 license
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           :target: https://doi.org/10.5281/zenodo.2655097
        
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        ****************
        LMR Turbo (LMRt)
        ****************
        
        
        LMR Turbo (LMRt) is a lightweight, packaged version of the `Last Millennium Reanalysia (LMR) <https://github.com/modons/LMR>`_ framework,
        inspired by LMR_lite.py originated by `Professor Hakim <https://atmos.washington.edu/~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 :code:`Series` and :code:`EnsembleSeries` of the `Pyleoclim <https://github.com/LinkedEarth/Pyleoclim_util>`_ UI)
        
        A preview of the results
        ========================
        
        Mean temperature
        ----------------
        .. figure:: https://github.com/fzhu2e/LMRt/raw/master/imgs/gmt.png
            :alt: Mean temperature
        
        Niño 3.4 index
        --------------
        .. figure:: https://github.com/fzhu2e/LMRt/raw/master/imgs/nino34.png
            :alt: Niño 3.4
        
        
        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., 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 <https://doi.org/10.5281/zenodo.2655097>`_
        
Keywords: LMRt
Platform: UNKNOWN
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.8
Description-Content-Type: text/x-rst
