F2.5
Impact of surface temperature representation in a mesoscale numerical weather prediction model on electromagnetic propagation modeling over an inland water body
Andrew Kammerer, DeVine Consulting Inc, United States; Sarah Wessinger, Naval Research Laboratory, United States; Jacob Yung, Bay Systems Consulting, Inc, United States; David Flagg, Naval Research Laboratory, United States
Session:
F2: Atmospheric Propagation and Remote Sensing Lecture
Track:
Commission F: Wave Propagation and Remote Sensing
Location:
Room 245
Presentation Time:
Thu, 9 Jan, 09:40 - 10:00 MT (UTC -7)
Presentation
Discussion
Resources
No resources available.
Session F2
F2.1: Viability of a Ground-Based Wind Profiling Radar Remote Sensing Methodology for Application in the Marine Atmospheric Surface Layer
Caleb R. Sease, Daniel P. Greenway, Erin E. Hackett, Coastal Carolina University, United States
F2.2: Identifying Regions of Large Propagation Variability via Principal Component Analysis
Douglas Pastore, Naval Surface Warfare Center Dahlgren Division, United States; Zach Beever, Johns Hopkins University Applied Physics Laboratory, United States
F2.3: Assessment of a Humidity and Temperature Retrieval Technique Using Refractivity Measurements
Daniel P. Greenway, Caleb R. Sease, Coastal Carolina University, United States; Qing Wang, Ryan Yamaguchi, Naval Postgraduate School, United States; Erin E. Hackett, Coastal Carolina University, United States
F2.4: Enhanced Adaptive Learning Model for Accurate Dual-Polarization Radar Rainfall Mapping
Liangwei Wang, Haonan Chen, Colorado State University, United States
F2.5: Impact of surface temperature representation in a mesoscale numerical weather prediction model on electromagnetic propagation modeling over an inland water body
Andrew Kammerer, DeVine Consulting Inc, United States; Sarah Wessinger, Naval Research Laboratory, United States; Jacob Yung, Bay Systems Consulting, Inc, United States; David Flagg, Naval Research Laboratory, United States
Contacts