The following is an overview of the themes to be covered during the workshop.
| Monday June 25
Data Proximate Workflows |
Tuesday June 26
Machine Learning |
Wednesday June 27
GOES-16 |
Thursday June 28
Ensemble Models |
|
| 8:30 | Building Open | Building Open | Building Open | Building Open |
| 8:45 | Orientation and Tech Configuration | |||
| 9:00 | Welcome/Update
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| 9:15 | Welcome/Update
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Welcome/Update
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| 9:30 | Welcome
Workshop chairs |
How Cloud Computing and Machine Learning are Transforming Science
Valliappa (Lak) Lakshmanan |
Introduction to new GOES era Satellites and Accessing the Data
Fred Mosher |
Using the Model Evaluation Tool (MET)
John Gotway Tressa Fowler |
| 9:45 | Introduction
Kevin Goebbert |
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| 10:00 | ||||
| 10:15 | Unidata Users Workshops: Past, Present, and Future
Mohan Ramamurthy |
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| 10:30 | Break | Break | Break | |
| 10:45 | Break | The Joy of Deep Learning: Simulated Mesocyclone Prediction
David Gagne |
GOES-16 Dataflow and Uses within the NWS
Amanda Terborg |
Web-based Visualization of Ensemble Forecast Datasets
Ryan Sobash |
| 11:00 | The ENES Climate Analytics Service
Sandro Fiore |
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| 11:15 | ||||
| 11:30 | ||||
| 11:45 | Lunch (Group photo beforehand) | Lunch | Lunch | |
| 12:00 | Lunch | |||
| 12:15 | ||||
| 12:30 | ||||
| 12:45 | ||||
| 13:00 | ||||
| 13:15 | ||||
| 13:30 | ||||
| 13:45 | ||||
| 14:00 | WRF Simulations on the Cloud with Community Datasets
Luke Madaus |
The GOES-16 GLM - Data Visualization and GLMTools
Cameron Nixon |
Ensemble Forecast Visualization and Verification in Python
Tyler Wixtrom |
|
| 14:15 | Managed Machine Learning Models with AWS SageMaker
Kevin Jorissen |
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| 14:30 | ||||
| 14:45 | ||||
| 15:00 | Break | Break | Taking It Home - Next Steps
Open Discusion |
|
| 15:15 | Reducing Time to Science with PANGEO
Joe Hamman |
Classifying Rainfall Regions in Weather Radar Mosaics
Alex Haberlie |
Using GOES-16 in Teaching Meteorology Using Python
Kevin Goebbert |
|
| 15:30 | Closing, Workshop Survey | |||
| 15:45 | ||||
| 16:00 | ||||
| 16:15 | Break | Taking It Home: Applying Machine Learning to a project "at home" | Taking It Home: Using new datasets and incorporation into workflow | |
| 16:30 | Taking It Home: Adapting Workflow for a project "at home" | |||
| 16:45 | ||||
| 17:00 | Posters/ Ice Breaker | Adjourn | Adjourn | |
| 17:15 | ||||
| 17:30 | ||||
| 17:45 | ||||
| 18:00 | Adjourn |
Workshop sessions will take place in Boulder, Colorado at UCAR's Center Green campus. Sessions are scheduled from 8:30am until 5:00pm each day (sessions end at 3:00pm on Thursday).