Temporal Analysis of GNSS-Based Precipitable Water Vapor during Rainy Days over the Philippines from 2015 to 2017

Precipitable water vapor (PWV) is a parameter used to estimate water vapor content in the atmosphere. 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. GNS...

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Bibliographic Details
Published inAtmosphere Vol. 13; no. 3; p. 430
Main Authors Domingo, Agana Louisse S., Macalalad, Ernest P.
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.03.2022
Subjects
Accuracy
Climate
Climatic classifications
Coefficients
Corona
Coronas
Correlation coefficient
Correlation coefficients
Diurnal variations
Global navigation satellite system
global navigation satellite system (GNSS)
Monthly variations
Navigation
Navigation satellites
Navigation systems
Navigational satellites
Precipitable water
precipitable water vapor (PWV)
Radiosondes
Rain
Rainfall
Root-mean-square errors
Satellites
Variation
Water vapor
Water vapor content
Water vapour
Weather analysis
Philippines
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Summary:Precipitable water vapor (PWV) is a parameter used to estimate water vapor content in the atmosphere. 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. GNSS PWV were highly correlated with RS PWV (R ~ 0.97). 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. The variations of PWV are presented. 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. Moreover, PWV monthly variation at all sites is high from May to October (~62 mm) and low from November to April (~57 mm). The relationship between PWV and rainfall at all stations showed positive correlation coefficients between +0.49 to +0.83. Meanwhile, it is observed that when PWV is high (low), its variability is low (high). This study shows the potential of GNSS to study water vapor and its contribution to weather analysis.
ISSN:2073-4433
2073-4433
DOI:10.3390/atmos13030430