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A lightweight, packaged version of the Last Millennium Reanalysis (LMR) framework

Project description

PyPI

LMR Turbo (LMRt)

A lightweight, packaged version of the Last Millennium Reanalysia (LMR) framework, inspired by LMR_lite.py originated by Professor Hakim (Univ. of Washington). Ultimately, it aims to provide following features:

  • Greater flexibility
    • Easy installation
    • Easy importing and usage in Jupyter notebooks (or scripts)
    • No assumption of a fixed folder structure; just feed the correct files to functions
    • Easy setup for different priors, proxies, and Proxy System Models (PSMs) included in PRYSM API
  • Faster speed
    • Easy parallel computing with multiprocessing and other techniques

Results

Mean temperature

Mean temperature

Niño 3.4 index

Niño 3.4

Package dependencies

  • tqdm: A fast, extensible progress bar for Python and CLI (pip install tqdm)
  • prysm-api: The API for PRoxY System Modeling (PRYSM) (pip install prysm-api)
  • dotmap: Dot access dictionary with dynamic hierarchy creation and ordered iteration (pip install dotmap)
  • xarray: N-D labeled arrays and datasets in Python (pip install xarray)
  • netCDF4: the python interface for netCDF4 format (conda install netCDF4)
  • pyspharm: an object-oriented python interface to the NCAR SPHEREPACK library (conda install -c conda-forge pyspharm)

How to install

Once the above dependencies are installed, simply

pip install LMRt

and you are ready to

import LMRt

in python.

Notebook tutorials

References

  • 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., Anderson, D. M., Steig, E. J., and Noone, D.: Last Millennium Reanalysis with an expanded proxy database and seasonal proxy modeling, Clim. Past Discuss., https://doi.org/10.5194/cp-2018-120, in review, 2018.

License

BSD License (see the details here)

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