Session 7B Artificial Intelligence for Environmental Science II

Tuesday, 30 January 2024: 1:45 PM-3:00 PM
338 (The Baltimore Convention Center)
Host: 23rd Conference on Artificial Intelligence for Environmental Science
Cochairs:
Rob Redmon; Philippe E. Tissot and Ryan Lagerquist

Papers:
1:45 PM
7B.1
Ensemble Probabilistic Severe Weather Prediction Using Convection-Allowing Models and Deep Generative Models
Yingkai Sha, NCAR, Boulder, CO; and R. A. Sobash, D. J. Gagne II, and C. Schwartz

Handout (4.5 MB)

2:00 PM
7B.2
Impacts of Multiscale Predictors on Random Forest Based Probabilistic Forecasts of Severe Weather Hazards
Daniel Lee Kubalek, University of Oklahoma, Norman, OK; and A. T. Johnson and X. Wang

2:15 PM
7B.3
True Positive Convective Storms Without Lightning in ThunderCast
Stephanie M. Ortland, University of Wisconsin-Madison, Madison, WI; Univ. of Wisconsin -- Madison, Madison, WI; and M. J. Pavolonis and J. L. Cintineo

2:30 PM
7B.4
Artificial Intelligence-Based Investigation of Severe Thunderstorms Producing Downbursts in Canada.
Mohammad Hadavi, McGill University, Montreal, QC, Canada; and D. Romanic

2:45 PM
7B.5
Using Deep Learning to Predict Cloud-to-Ground Lightning in the Western United States
Dmitri Alexander Kalashnikov, Washington State University Vancouver, Vancouver, WA; and F. V. Davenport, Z. M. Labe, PhD, P. C. Loikith, J. T. Abatzoglou, and D. Singh

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- Indicates paper has been withdrawn from meeting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