Session 3 Visualization and Data Discovery Using Python.

Tuesday, 14 January 2020: 10:30 AM-12:00 PM
157AB (Boston Convention and Exhibition Center)

Chair:
Johnny Lin, Univ. of Washington Bothell, Computing and Software Systems Division, Bothell, WA

Description:

Submissions are welcome on visualization and data discovery using Python. Topics can range from new tools and platforms in visualizing complex data to how Python was used to interrogate and stratify complex data.


Papers:
10:30 AM
3.1
MetPy 1.0: An Upgrade from GEMPAK for 21st Century Atmospheric Science Data Analysis and Visualization
Ryan M. May, UCAR/Unidata, Boulder, CO; and Z. S. Bruick and K. H. Goebbert

10:45 AM
3.2
Developing Real-time Datasets for the NOAA Science on a Sphere
Daniel Vignoles, NCEP, College Park, MD

11:00 AM
3.3
Design and Implementation of the Model Analysis Platform for Energy Systems
Michael Ewens Kelleher, ORNL, Oak Ridge, TN; and M. Ashfaq and K. J. Evans

11:15 AM
3.4
Data Exploration with PyFerret
Eugene F Burger, PMEL, Seattle, CA; and K. M. Smith and A. Manke

11:30 AM
3.5
Dredging Data Discovery with Datashader
Thomas Kallstrom Martin, Vicksburg Catholic School, Vicksburg, MS; U.S. Army Engineer Research and Development Center, Vicksburg, MS; and S. Dent, J. E. Ross, H. Dozier, and A. Strelzoff

Abstract Submissions Closed



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