TH3.R1.4
Deep Learning Based Polarimetric Radar Quantitative Precipitation Estimation Using Three-Dimensional Radar Observations
Yudhistar Sai Puram, V. Chandrasekar, Colorado State University, United States
Session:
TH3.R1: Weather Radar Observations and Applications for Precipitation Analysis Oral
Track:
Atmosphere Applications
Location:
Morgan
Presentation Time:
Thursday, 13 August, 14:30 - 14:45
Session Co-Chairs:
Veljko Petkovic, University of Maryland College Park and Stephen Frasier, University of Massachusetts
Presentation
Discussion
Resources
No resources available.
Session TH3.R1
TH3.R1.1: High-resolution convectivity study in a precipitation transitioning scenario: application to S-band radars
Andreu Salcedo-Bosch, Francesc Rocadenbosch, Universitat Politècnica de Catalunya, Spain; Stephen Frasier, University of Massachusetts, United States
TH3.R1.2: Linking Early-Stage Cloud-Top Phase Signatures to Spatial Heterogeneity of Precipitation Events
Malarvizhi Arulraj, Veljko Petkovic, Saisidharth Seyyadiri, University of Maryland College Park, United States; Shruti Upadhyaya, Indian Institute of Technology Hyderabad, India
TH3.R1.3: DEVELOPING A TESTBED FOR RADAR-BASED RAINFALL ESTIMATION IN WESTERN MASSACHUSETTS
Ekin Su Sacin, Stephen Frasier, Christopher Davis, Brenda Philips, Michael Zink, University of Massachusetts, United States
TH3.R1.4: Deep Learning Based Polarimetric Radar Quantitative Precipitation Estimation Using Three-Dimensional Radar Observations
Yudhistar Sai Puram, V. Chandrasekar, Colorado State University, United States
TH3.R1.5: RECENT PROGRESS ON UTILIZING THE SELF-CONSISTENCY APPROACH FOR WEATHER RADAR APPLICATIONS
Yabin Gou, Hangzhou Meteorological Observatory, China; Haonan Chen, Colorado State University, United States
Resources
No resources available.