Session 5 Building Knowledge Using Python

Tuesday, 9 January 2018: 8:30 AM-10:00 AM
Room 8 ABC (ACC) (Austin, Texas)
Host: Eighth Symposium on Advances in Modeling and Analysis Using Python
Chair:
Robert Jackson, ANL, Environmental Science Division, Argonne, IL

Teaching using Python and also tools designed to analyize and diagnose complex datasets

Papers:
8:30 AM
5.1
Drilling down from Python Statistical Analyses to Rich Interactive Case Study Visualizations, within Jupyter Notebooks
Brian Mapes, Univ. of Miami/RSMAS, Miami, FL; and Y. Ho, S. K. Cheedela, and J. McWhirter
Recorded Presentation

8:45 AM
5.2
A Computational Approach to Climate Science Education with CLIMLAB
Brian E. J. Rose, SUNY, Albany, NY
Recorded Presentation

9:00 AM
5.3
Improving Training in Environmental Sciences with Jupyter Notebooks
Stephan Siemen, ECMWF, Reading, U.K.; and S. Lamy-Thepaut and J. Wagemann
Recorded Presentation

9:15 AM
5.4
Slidoc: A Pythonic Learning Management System Using Markdown and Google Sheets
R. Saravanan, Texas A&M Univ., College Station, TX
Recorded Presentation

9:30 AM
5.5
Climate Data Science: A Framework for Improving Computational Climate Analysis
Daniel Rothenberg, MIT, Cambridge, MA
Recorded Presentation

9:45 AM
5.6
The Diagnostic Package for Climate Variability by the NOAA Modeling Diagnostic Task Force
Chih-Chieh Chen, NCAR, Boulder, CO; and A. Gettelman, E. Maloney, Y. Ming, and J. D. Neelin
Recorded Presentation

- Indicates paper has been withdrawn from meeting
- Indicates an Award Winner
See more of: Eighth Symposium on Advances in Modeling and Analysis Using Python
<< Previous Session | Next Session >>