GCPy_demo
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Contents:

  • Python/xarray for GEOS-Chem data analysis
  • Working with global high-resolution data
  • Jupyter notebook on remote server
GCPy_demo
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Introduction to Python for GEOS-ChemΒΆ

Author: Jiawei Zhuang (jiaweizhuang@g.harvard.edu)

Important Note: We recommend the 2018 version of tutorial https://github.com/JiaweiZhuang/GEOSChem-python-tutorial. This old one (written in 2017) is just kept for record.

Contents:

  • Python/xarray for GEOS-Chem data analysis
    • Motivation
    • Preparation
    • Reading and exploring NetCDF file
    • Case 1: surface field
    • Extending case 1: visualization details
    • Case 2: zonal mean
    • Case 3: vertical profile
    • Writing NetCDF file
    • Further reading
  • Working with global high-resolution data
    • Lazy evaluation
    • More explanation on data size
    • Out-of-core data processing
    • A compact version of previous section
  • Jupyter notebook on remote server
    • Private server
    • Shared HPC cluster
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© Copyright 2017, Jiawei Zhuang. Revision 67f53791.

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