Path-Based Correlation Analysis of Meteorological Factors and eLoran Signal Delay Variations

Unlike GNSS, which is vulnerable to jamming and spoofing due to its inherently weak received power, eLoran exhibits robustness owing to its high field strength. Therefore, the eLoran system can maintain reliable operation even in scenarios where GNSS becomes unavailable. However, since eLoran signals propagate through ground waves, the propagation delay is susceptible to changes in surface conditions, including both terrain and meteorological variations. This study aims to analyze the correlation between the temporal variations in eLoran signal propagation delay and meteorological factors at various points along the signal path.