#maptimeDavis: Accessing cloud-hosted NetCDF with Python via Zarr, turbocharged with ReferenceFileSystem

Oct. 5, 2021, 10 a.m. - Oct. 5, 2021, noon

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DataLab: Data Science and Informatics

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Workshop attendees will learn how to utilize new software that allows users to harness the cloud-optimization of the Zarr data format with existing NetCDF/HDF5 datasets by following along with example code and data.

Learning Objectives

Gain familiarity with:
- XArray, Matplotlib, and Jupyter notebooks
- Zarr, NetCDF/HDF
- fsspec-reference-maker (ReferenceFileSystem), a project that allows Zarr-like access to existing NetCDF/HDF/GRIB2 data without needing to convert to Zarr.


Participants should have an introductory understanding of Python.


No software installation is needed. A link to interactive code samples in the cloud will be provided for attendees to follow along, requiring only a web browser (such as Chrome, Firefox, Safari, or Edge).

Instructor: Lucas Sterzinger

Instructor Bio

Lucas is a 5th year PhD student in the UC Davis Atmospheric Science Graduate Group studying cloud physics. He became involved in Big Data/Open Data software development during the summer of 2021 as an intern in the National Center for Atmospheric Research's (NCAR) Summer Internship in Parallel Computational Science (SIParCS) program.

Registration is closed for this event