Joint Session 2 How Artificial Intelligence at Scale Will Link Weather and Climate Data to Society

Monday, 13 January 2020: 10:30 AM-12:00 PM
157AB (Boston Convention and Exhibition Center)
Hosts: (Joint between the 10th Symposium on Advances in Modeling and Analysis Using Python; the 19th Conference on Artificial Intelligence for Environmental Science; the 36th Conference on Environmental Information Processing Technologies; and the Sixth Symposium on High Performance Computing for Weather, Water, and Climate )
Cochairs:
David John Gagne II, Univ. of Oklahoma, Meteorology, Norman, OK and Scott Collis, Argonne National Laboratory, Environmental Science Division, Argonne, IL

Papers:
10:30 AM
J2.1
How Python Can Help Us to Create the Physical Data Scientists of the Future (Core Science Keynote)
Amy McGovern, Univ. of Oklahoma, Norman, OK
Recorded Presentation

11:00 AM
J2.2
Cloud Nowcasting on Satellite Images: A Novel Dataset and Experimental Comparisons
Andreas Holm Nielsen, Aarhus Univ., Aarhus, Denmark; and A. Wagner, A. Iosifidis, and H. Karstoft
Recorded Presentation

11:15 AM
J2.4
Geocaching with Geohashing—Scaling Weather APIs with Python and Spark for Big Data Machine Learning
Alexander Kalmikov, QuantumBlack, a McKinsey Company, Cambridge, MA; and Y. Zhu, L. Zhang, and J. Annor
Recorded Presentation
Recorded Presentation
Recorded Presentation Manuscript (13.3 MB)

Handout (13.3 MB)

11:30 AM
J2.5
Frameworks for Gaining Insight and Machine Learning on Large Climate and Weather Datasets
Robert Jackson, Argonne National Laboratory, Argonne, IL; and S. Collis, I. Foster, B. Blaiszik, and S. Fiore
Recorded Presentation

J2.3
A Deep Neural Network Deriving Cloud Properties from Satellite Remote Sensing

- Indicates paper has been withdrawn from meeting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