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Repository for studies on data visualization in weather/climate science

License: MIT License

Jupyter Notebook 73.19% Python 25.81% R 1.01%

datavizstudies's Introduction

DataVizStudies

Repository for studies on data visualization in weather/climate science

Under construction... [Python 3.7]

Contact

Zachary Labe - Research Website - @ZLabe

Description

  • Scripts/: Main Python scripts/functions used in data analysis and plotting
  • requirements.txt: List of environments and modules associated with the most recent version of this project. A Python Anaconda3 Distribution was used for our analysis. Tools including NCL, CDO, and NCO were also used for initial data manipulation.

Data

  • Berkeley Earth Surface Temperature project (BEST) : [DATA]
    • Rohde, R. and Coauthors (2013) Berkeley earth temperature averaging process. Geoinform Geostat Overv. doi:10.4172/2327-4581.1000103 [PUBLICATION]
  • CESM Large Ensemble Project (LENS) : [DATA]
    • Kay, J. E and Coauthors, 2015: The Community Earth System Model (CESM) large ensemble project: A community resource for studying climate change in the presence of internal climate variability. Bull. Amer. Meteor. Soc., 96, 1333–1349, doi:10.1175/BAMS-D-13-00255.1, [Publication]

Publications

Conferences

datavizstudies's People

Contributors

zmlabe avatar

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