Joint Session 38 Artificial Intelligence and High Performance Computing for Weather Predictions

Wednesday, 10 January 2018: 8:30 AM-10:00 AM
Room 12B (ACC) (Austin, Texas)
Hosts: (Joint between the 17th Conf on Artificial and Computational Intelligence and its Applications to the Environmental Sciences; and the Fourth Symposium on High Performance Computing for Weather, Water, and Climate )
David John Gagne II, NCAR, Boulder, CO and Timothy S. Sliwinski, Texas Tech University, Department of Geosciences, Atmospheric Science Group, Lubbock, TX

8:30 AM
The Factors Driving the Development of Machine Learning at the UK Met Office
Vicky Pope, UKMO, Exeter, UK; and C. Ewen, A. Arribas, R. Prudden, and N. Robinson
8:45 AM
Opportunities for Machine Learning in Weather Forecasting
Rachel Prudden, Met Office, Exeter, UK; and N. Robinson, A. Arribas, and C. Ewen
9:00 AM
Using Deep Learning for Targeted Data Selection: Improving Satellite Observation Utilization for Model Initialization
Yu-Ju Lee, NOAA/ESRL/GSD (CIRES), Boulder, CO; and C. Bonfanti, L. Trailovic, B. J. Etherton, M. W. Govett, and J. Q. Stewart
9:15 AM
9:30 AM
Soil Moisture Forecasting and Hindcasting Using Deep Learning and SMAP Satellite Data
Kuai Fang, Pennsylvania State Univ., Univ. Park, PA; and C. Shen, D. Kifer, and X. Yang
9:45 AM
Precipitation Nowcasting Leveraging Deep Learning and HPC Systems to Optimize the Data Pipeline
Alexander Douglas Heye, Cray, Inc., Seattle, WA; and J. Cain, K. Venkatesan, A. Kommaraju, C. George, and P. Brown
- Indicates paper has been withdrawn from meeting
- Indicates an Award Winner