Session 1 Working With Large Datasets Using Python

Monday, 7 January 2019: 8:30 AM-10:00 AM
North 129B (Phoenix Convention Center - West and North Buildings)
Host: Ninth Symposium on Advances in Modeling and Analysis Using Python
Chair:
Scott Collis, Argonne National Laboratory, Environmental Science Division, Argonne, IL

Papers:
8:30 AM
Welcoming Remarks
Scott Collis, Argonne National Laboratory, Argonne, IL
Recorded Presentation

8:45 AM
1.1
Connecting Machine Learning with Atmospheric Science (Invited Presentation)
Rachel Prudden, Met Office, Exeter, UK
Recorded Presentation

9:15 AM
1.2
Integrated Cloud and High-Performance Computing Platform for Interactive Analysis of ARM Data
Spencer Hills, Oak Ridge National Laboratory, Oak Ridge, TN; and J. Kumar, Z. Price, and A. Clodfelter
Recorded Presentation

9:30 AM
1.3
Simplified Forecast-Model-Run-Collection Use and Analysis Using PyFerret
Karl Smith, Pacific Marine Environmental Laboratory, Seattle, WA; and A. Manke

9:45 AM
1.4
Objective Analysis of Scanning Radar Observations in Python
Zachary Sherman, Argonne National Laboratory, Lemont, IL; and S. Collis, R. Jackson, A. Medendorp, M. Oue, P. Kollias, R. A. Warren, and J. S. Soderholm
Recorded Presentation

- Indicates paper has been withdrawn from meeting
- Indicates an Award Winner
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