WS22:
Pangeo: Scalable Geoscience Tools in Python—Xarray, Dask, and Jupyter


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Session ID#: 52170

Session Description:
Earth scientists face serious challenges when working with large datasets. Pangeo is a rapidly growing community and software ecosystem for scalable geoscience based on open source scientific python. Pangeo’s three core packages are 1) Jupyter, a web-based tool for interactive computing, 2) Xarray, a data-model and toolkit for working with N-dimensional labeled arrays,  and 3) Dask, a flexible parallel computing library. When combined with distributed computing, these tools can help geoscientists perform interactive analysis on datasets up to petabytes in size. In this interactive, tutorial we will demonstrate how to employ this platform using real science examples from physical oceanography and hydrology. Participants will follow along using Jupyter notebooks to interact with Xarray and Dask running in Google Cloud Platform.
Submitters:  Ryan P Abernathey, Lamont -Doherty Earth Observatory of Columbia University, Palisades, United States and Scott T Henderson, University of Washington Seattle Campus, Earth and Space Sciences, Seattle, United States
Presenter:  Joseph Hamman, CarbonPlan, Seattle, United States
Onsite Contact:  Joseph Hamman, CarbonPlan, Seattle, United States

Cross-Listed:
  • H - Hydrology
  • IN - Earth and Space Science Informatics
  • OS - Ocean Sciences
Index Terms:

1908 Cyberinfrastructure [INFORMATICS]
1920 Emerging informatics technologies [INFORMATICS]
1976 Software tools and services [INFORMATICS]
1998 Workflow [INFORMATICS]

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