LMR Turbo

A lightweight implementation of the LMR framework

A lightweight, packaged version of the Last Millennium Reanalysia (LMR) paleoclimate data assimilation (PDA) 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

Applications

• Reconstruction of the spatial-temporal field (tas, pr, z500, etc.) over Common Era
• Post processing of the renalaysis result
• Visualization of the renalaysis result

Usage examples

• A quickstart

Publications

• Feng Zhu, Julien Emile-Geay, Greg Hakim, Robert Tardif, & Andre Perkins. (2019, May 22). LMR Turbo (LMRt): a lightweight implementation of the LMR framework (Version 0.5.1). Zenodo. http://doi.org/10.5281/zenodo.3167723

Useful links

• Github repo: https://github.com/fzhu2e/LMRt

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• Data assimilation resources
• LiPD utilities
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• Pyleoclim utilities