We estimate precipitable water vapor (PWV) from data collected by the low-cost Global Navigation Satellite System (GNSS) receiver at a vessel. ![]() This study shows the potential of GNSS to study water vapor and its contribution to weather analysis. Meanwhile, it is observed that when PWV is high (low), its variability is low (high). The relationship between PWV and rainfall at all stations showed positive correlation coefficients between +0.49 to +0.83. Moreover, PWV monthly variation at all sites is high from May to October (~62 mm) and low from November to April (~57 mm). Daily variations of PWV conformed to the daily data of rainfall which agrees to the climate types of Quezon City (Type I), Legaspi (Type II), and Puerto Princesa (Type III) based on the Coronas climate classification. Mean bias error (MBE) between −0.18 mm and −13.39 mm, and root mean square error (RMSE) between 1.86 mm and 2.29 mm showed a good agreement between GNSS PWV and RS PWV. ![]() GNSS PWV were highly correlated with RS PWV (R ~ 0.97). In this study, estimates of PWV from PIMO, PLEG and PPPC global navigation satellite system (GNSS) stations are evaluated regarding the PWV obtained from its collocated radiosonde (RS) stations. Precipitable water vapor (PWV) is a parameter used to estimate water vapor content in the atmosphere.
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