Session 2B Deep Learning for Environmental Datasets

Monday, 7 January 2019: 10:30 AM-12:00 PM
North 125AB (Phoenix Convention Center - West and North Buildings)
Host: 18th Conference on Artificial and Computational Intelligence and its Applications to the Environmental Sciences
Cochairs:
David John Gagne II, NCAR, Boulder, CO; Amy McGovern, University of Oklahoma, School of Computer Science, Norman, OK and Ryan A. Lagerquist, CIMMS, Meteorology, Norman, OK

Papers:
10:30 AM
2B.1
Exascale Deep Learning for Climate Science
Mr Prabhat, LBNL, Berkeley, CA; and T. Kurth, S. Treichler, J. Romero, M. Mudigonda, A. Mahesh, T. A. O'Brien, M. Fatica, M. Houston, K. Kashinath, M. Matheson, M. Shankar, M. F. Wehner, and W. D. Collins
Recorded Presentation

11:00 AM
2B.2
Real-Time and Climatological Storm Classification through Deep Learning
G. Eli Jergensen, University of Oklahoma, Norman, OK; and A. McGovern, H. Obermeier, and T. Smith
Recorded Presentation

11:15 AM
2B.3
Using Deep Learning to Estimate Tropical Cyclone Intensity from 89-GHz Band Microwave Satellite Imagery
Anthony Wimmers, CIMSS/University of Wisconsin−Madison, Madison, WI; and C. Velden and J. H. Cossuth

11:30 AM
2B.4
A Deep Learning−Based Correction to Radar Beam Blockage
Katherine Avery, University of Oklahoma, Norman, OK; and M. S. Veillette, C. J. Mattioli, and H. Iskenderian
Recorded Presentation

11:45 AM
2B.5
Using Deep Learning for Advanced Remote Sensing of Clouds
Alexandria M. Russell, Northrop Grumann Corporation, McLean, VA; and M. Mason, B. D. Felton, and R. J. Alliss
Recorded Presentation

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