ORCID Number
0009-0002-3361-0879
Date of Award
Spring 2026
Access Type
Thesis - Open Access
Degree Name
Master of Science in Engineering Physics
Department
Physical Sciences
Committee Chair
Alan Liu
Committee Chair Email
liuz2@erau.edu
First Committee Member
Aroh Barjatya
First Committee Member Email
barjatya@erau.edu
Second Committee Member
Kshitija Deshpande
Second Committee Member Email
deshpank@erau.edu
College Dean
Jayathi Raghavan
Abstract
Flash flood nowcasting in Central and Southern Appalachia is particularly challenging due to steep terrain, narrow valleys, highly localized rainfall patterns, and limited measurement coverage. Traditional remote sensing methods, such as Doppler radar and microwave radiometry, suffer from reduced resolution at long range and signal blockage by mountains. GNSS-meteorology offers an established alternative for measuring precipitable water vapor and is currently integrated into several numerical weather models. Recent research demonstrates that commercial-grade GNSS receivers can produce tropospheric products comparable to those from geodetic-grade equipment. The gaps in mountain coverage can be addressed by developing a low-cost, self-contained embedded system that processes raw GNSS data in real-time. Consolidating all necessary components into easily deployable units with minimal ground infrastructure and network overhead enables dense GNSS networks that provide high-resolution precipitable water vapor measurements for meteorologists to improve flash flood nowcasting in mountainous regions. This thesis presents the design, fabrication, and initial evaluation of such a station, built around the u-blox ZED-F9P multi-band receiver and a dual-core STM32H745 microcontroller. Preliminary data collected against the nearby ORMD CORS station demonstrates the receiver's viability for tropospheric applications, while exposing remaining work in clock stabilization and bias correction.
Scholarly Commons Citation
Gleydura, Madison, "Developing a Multi-Band GNSS Remote Sensing Station To Measure Precipitable Water Vapor for Flash Flood Nowcasting" (2026). Doctoral Dissertations and Master's Theses. 974.
https://commons.erau.edu/edt/974
Included in
Atmospheric Sciences Commons, Climate Commons, Digital Circuits Commons, Electrical and Electronics Commons, Engineering Physics Commons, Environmental Monitoring Commons, Hardware Systems Commons, Meteorology Commons, Numerical Analysis and Scientific Computing Commons, Systems and Communications Commons