Artificial Intelligence in Radar Meteorology

Thursday, 31 August 2023: 3:00 PM-4:30 PM
Boundary Waters (Hyatt Regency Minneapolis)
Host: 40th Conference on Radar Meteorology
Chairs:
Haonen Chen, Colorado State University and NOAA Physical Sciences Laboratory, Boulder, CO and Randy Chase, NSF, OU Center for Autonomous Sensing and Sampling, Lakeland, TN

Theoretical, model- and/or data-centric AI in radar meteorology; AI and machine learning advancements exemplified through weather radar applications; novel uncertainty quantification and eXplainable AI (XAI) techniques; submissions should have a clear emphasis on novel AI/ML methods.

Papers:
124
An Implicit Generative Model Approach to Radar-Based Precipitation Nowcasting: Fundamentals and Evaluations
Jaeho Choi, KMA, Seoul, South korea; and Y. Kim, K. H. Kim, S. H. Jung, and I. Cho

125
Combining TITAN and LSTM Model in a New Tool of Nowcasting
Andrea Salome Viteri Lopez, Sao Paulo, SP, Brazil; and C. A. Morales

126
Airborne Radar Quality Control with Machine Learning
Alexander James DesRosiers, Colorado State University, Atmospheric Science, Fort Collins, CO; and M. Bell

127
Multisensor Agile Adaptive Sampling (MAAS): a methodology to collect radar observations of convective cell life cycle
Katia Lamer, Brookhaven National Laboratory, Upton, NY; and P. Kollias, E. Luke, B. P. Treserras, M. Oue, and B. Dolan

128
Impact of LDAPS model error on precipitation types from Spectral Bin Model
Wonbae Bang, Kyungpook National University, Daegu, Daegu, Korea, Republic of (South); and K. Kim, J. Carlin, A. V. Ryzhkov, and G. LEE

129
A Machine Learning Approach for Intelligent VAD Wind Estimation with S-band Polarimetric Weather Radars
Precious Kizeze Jatau, University of Oklahoma, Norman, OK; and T. Y. Yu and V. M. Melnikov

130
A Deep Learning Model for Precipitation Short-Term Forecasting over China Based on Radar Observations
Sheng Chen, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences; and Q. Huang and J. Tan

131
Probabilistic quantitative precipitation estimation based on a random forest approach and operational polarimetric measurements from the Swiss radar network
Rebecca Gugerli, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Vaud, Switzerland; METEOSWISS, Locarno-Monti, Ticino, Switzerland; and D. Wolfensberger, M. Gabella, U. M. Germann, and A. Berne

Handout (5.5 MB)

132
SaGRU: A self-attention-based recurrent neural network model for radar nowcasting
Yao Shun, Colorado State University, Fort Collins, CO; and H. Chen, V. Chandrasekar, and E. Thompson

133
Hail nowcasting based on radar and model fields using random forests
Frederic Fabry, McGill Univ., Montreal, QC, Canada; and C. Jing

Handout (1.9 MB)

134
Evaluation of Super Resolution using Attention U-net over Dallas Fort Worth
EunYeol Kim, Colorado State Univ., Fort Collins, CO; and V. Chandrasekar

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