Session 1 Working with Large Datasets Using Python

Monday, 13 January 2020: 9:00 AM-10:00 AM
157AB (Boston Convention and Exhibition Center)
Host: 10th Symposium on Advances in Modeling and Analysis Using Python
Chair:
Scott Collis, Argonne National Laboratory, Environmental Science Division, Argonne, IL

This session focus on tools, techniques and community experiences working with large (or complex) data sets using Python.

Papers:
9:00 AM
1.1
Opening Remarks and History of the Symposium
Scott Collis, Argonne National Laboratory, Argonne, IL
Recorded Presentation

9:15 AM
1.2
The Big Climate Data Pipeline (BCDP): An Open-Source Python Library to Analyze High-Resolution Climate Models and Satellite Observations in Amazon Cloud and NASA’s High-Performance Computing Environments
Alexander Goodman, Jet Propulsion Laboratory, Pasadena, CA; and H. Lee and K. Gorski
Recorded Presentation

9:30 AM
1.3
Storm-centric Analysis of Tropical Cyclones in Python
Kimberly M. Wood, Mississippi State Univ., Mississippi State, MS
Recorded Presentation

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