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)

Cochairs:
David John Gagne II, NCAR, Boulder, CO and Scott Collis, Argonne National Laboratory, Environmental Science Division, Argonne, IL
Papers:
10:30 AM
J2.2
Cloud Nowcasting on Satellite Images: A Novel Dataset and Experimental Comparisons
Andreas Holm Nielsen, Aarhus University, Aarhus C, Denmark; and A. Wagner, A. Iosifidis, and H. Karstoft

10:45 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

11:00 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

Abstract Submissions Closed



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