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Abstract: Extreme Weather Tracking and Prediction of Flash Floods using GNSS Troposphere Observations and Machine Learning Models in Near Real Time (AGU25)

Extreme Weather Tracking and Prediction of Flash Floods using GNSS Troposphere Observations and Machine Learning Models in Near Real Time

Yehuda Bock1, Bhavik Chandna1, Rohith Reddy Rachala1, Umaa Rebbapragada2, Angelyn W Moore3, Joe T Roberts3, Fred J Calef III3, Zhen Liu3, Ivory J Small4, Jayme L Laber5 and Robert Munroe6, (1)Scripps Institution of Oceanography, University of California San Diego, Institute of Geophysics and Planetary Physics, La Jolla, United States, (2)Jet Propulsion Laboratory, California Institute of Technology, Machine Learning and Instrument Autonomy, Pasadena, United States, (3)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (4)NOAA, National Weather Service, San Diego, United States, (5)NOAA National Weather Service, Oxnard, CA, United States, (6)NOAA, National Weather Service, Los Angeles Weather Forecast Office, Los Angeles, United States
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