Session 1 AI Techniques Applied to Environmental Science

Monday, 7 January 2019: 8:30 AM-10:00 AM
North 124B (Phoenix Convention Center - West and North Buildings)
Host: 18th Conference on Artificial and Computational Intelligence and its Applications to the Environmental Sciences
Chair:
Carlos F. Gaitan, ClimateAI, San Francisco, CA

Papers:
8:30 AM
1.1
Machine Learning Classification to Inform the Search Space Extension Variant for the Analog Ensemble Technique
Laura Clemente-Harding, Engineer Research and Development Center, Alexandria, VA; and W. Hu, G. S. Young, G. Cervone, S. Haupt, and L. Delle Monache

8:45 AM
1.2
Object-Based Deep Learning for Detection of Synoptic-Scale Atmospheric Fronts
Ryan A. Lagerquist, CIMMS, Norman, OK
Recorded Presentation

1.3
Ultra-fast machine learning solver for chemical kinetics in atmospheric models

9:00 AM
1.4
Lightning Nowcasting with Multisource Data: A Deep Learning Approach
Kanghui Zhou, National Meteorological Center of China, Beijing, China
Recorded Presentation

9:15 AM
1.5
Precipitation Classification Using the Lowest Tilt Radar Data with a Support Vector Machine Method
Yadong Wang, Southern Illinois University, Edwardsville, IL; and L. Tang
Recorded Presentation Manuscript (3.2 MB)

9:30 AM
1.6
Automatic Generation of Text Weather Forecast with Spatio-Temporal Aggregation
Lior Perez, Météo-France, Toulouse, France
Recorded Presentation

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