Session 14B Artificial Intelligence in Radar Meteorology II: Precipitation Estimation Techniques

Thursday, 31 August 2023: 1:30 PM-3:00 PM
Great Lakes A (Hyatt Regency Minneapolis)
Host: 40th Conference on Radar Meteorology
Chairs:
Haonan Chen, Cooperative Institute for Research in the Atmosphere (CIRA), Boulder, CO and Randy Chase, NSF, OU Center for Autonomous Sensing and Sampling, Lakeland, TN

Papers:
1:30 PM
14B.1
A Composite Method of Rainfall Rates for a Multi-Parameter Phased Array Weather Radar and XRAIN using Machine Learning
Shota Ochi, Toshiba Corporation, Kawasaki, Kanagawa, Japan; and N. Shiokawa, Y. Egashira, M. Wada, T. Kobayashi, and T. Yamada
Manuscript (643.6 kB)

1:45 PM
14B.2
DEUCE: A Neural Network for Probabilistic Precipitation Nowcasting with Aleatoric and Epistemic Uncertainties
Bent Ivan Oliver Harnist, Finnish Meteorological Institute, Helsinki, Finland; and S. Pulkkinen and T. Mäkinen

2:00 PM
14B.3
Interpretable Deep Learning for Polarimetric Radar Rainfall Estimation
Haonan Chen, Colorado State University, Boulder, CO; and L. Wang and E. Thompson

2:15 PM
14B.4
U-Net Based Retrieval of Precipitation Microphysics from Polarimetric Weather Radar Data
Junho Ho, University of Oklahoma, Norman, OK; Univ. of Oklahoma, Norman, OK; and G. Zhang, P. Bukovcic, J. Gao, A. V. Ryzhkov, J. Carlin, and J. C. Snyder

2:30 PM
14B.5
A New Deep Learning Nowcast Model of Radar Imagery using Generative Adversarial Network for Operational Rainfall Nowcasting
Ka-Hing Wong, Hong Kong Observatory, Hong Kong, Hong Kong; and W. K. WONG and H. W. LAU

2:45 PM
14B.6
Assimilation of Latent Heating Profiles Inferred from Machine Learning
Dominik Jacques, ECCC, Montreal, QC, Canada

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- Indicates paper has been withdrawn from meeting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