{
    "info": {
        "author": "Feng Zhu",
        "author_email": "fengzhu@usc.edu",
        "bugtrack_url": null,
        "classifiers": [
            "License :: OSI Approved :: MIT License",
            "Natural Language :: English",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7"
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        "description": "[![PyPI](https://img.shields.io/pypi/v/LMRt.svg)](https://pypi.org/project/LMRt/)\n[![](https://img.shields.io/badge/platform-Mac_Linux-red.svg)]()\n[![](https://img.shields.io/badge/language-Python3-success.svg)](https://www.python.org/)\n[![](https://img.shields.io/badge/license-BSD-brown.svg)](https://github.com/fzhu2e/LMRt/blob/master/LICENSE)\n[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.2655097.svg)](https://doi.org/10.5281/zenodo.2655097)\n\n# LMR Turbo (LMRt)\n\nA lightweight, packaged version of the [Last Millennium Reanalysia (LMR)](https://github.com/modons/LMR) framework,\ninspired by LMR_lite.py originated by Professor Hakim (Univ. of Washington).\nUltimately, it aims to provide following features:\n\n+ Greater flexibility\n    + Easy installation\n    + Easy importing and usage in Jupyter notebooks (or scripts)\n    + No assumption of a fixed folder structure; just feed the correct files to functions\n    + Easy setup for different priors, proxies, and Proxy System Models (PSMs) included in [PRYSM API](https://github.com/fzhu2e/prysm-api)\n+ Faster speed\n    + Easy parallel computing with multiprocessing and other techniques\n\n## Results\n\n### Mean temperature\n![Mean temperature](notebooks/figs/gmt.png)\n\n### Ni\u00f1o 3.4 index\n![Ni\u00f1o 3.4](notebooks/figs/nino34.png)\n\n\n## Package dependencies\n+ [tqdm](https://github.com/tqdm/tqdm): A fast, extensible progress bar for Python and CLI (`pip install tqdm`)\n+ [prysm-api](https://github.com/fzhu2e/prysm-api): The API for PRoxY System Modeling (PRYSM) (`pip install prysm-api`)\n+ [dotmap](https://github.com/drgrib/dotmap): Dot access dictionary with dynamic hierarchy creation and ordered iteration (`pip install dotmap`)\n+ [xarray](https://github.com/pydata/xarray): N-D labeled arrays and datasets in Python (`pip install xarray`)\n+ [netCDF4](https://github.com/Unidata/netcdf4-python): the python interface for netCDF4 format (`conda install netCDF4`)\n+ [pyspharm](https://code.google.com/archive/p/pyspharm/): an  object-oriented python interface to the NCAR SPHEREPACK library (`conda install -c conda-forge pyspharm`)\n+ [pyyaml](https://github.com/yaml/pyyaml): The next generation YAML parser and emitter for Python (`pip install pyyaml`).\n+ [scikit-learn](https://scikit-learn.org/stable/index.html): Machine Learning in Python (`pip install -U scikit-learn`).\n+ [cartopy](https://scitools.org.uk/cartopy/docs/latest/): a Python package designed for geospatial data processing in order to produce maps and other geospatial data analyses (`conda install -c conda-forge cartopy`).\n\n## How to install\nOnce the above dependencies are installed, simply\n```bash\npip install LMRt\n```\nand you are ready to\n```python\nimport LMRt\n```\nin python.\n\n## Notebook tutorials\n+ [a quickstart](https://nbviewer.jupyter.org/github/fzhu2e/LMRt/blob/master/notebooks/01.lmrt_quickstart.ipynb)\n+ [building Ye files](https://nbviewer.jupyter.org/github/fzhu2e/LMRt/blob/master/notebooks/02.build_Ye.ipynb)\n+ [multiprocessing](https://nbviewer.jupyter.org/github/fzhu2e/LMRt/blob/master/notebooks/03.multiprocessing.ipynb)\n\n## References\n+ Hakim, G. J., J. Emile\u2010Geay, 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\u20136764, https://doi.org/10.1002/2016JD024751.\n+ 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.\n\n## License\nBSD License (see the details [here](LICENSE))\n\n## How to cite\nIf you find this package useful, please cite it with DOI: [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.2655097.svg)](https://doi.org/10.5281/zenodo.2655097)\n\n... and welcome to Star and Fork!",
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