Seasonal and annual variations of the GPS-based precipitable water vapor over Sumatra, Indonesia

Wijaya, Dudy D.; Putri, Nabila; Wibowo, Sidik T.; Kuntjoro, Wedyanto

doi:10.1016/j.atmosres.2022.106216

Cited by 2 publications

(1 citation statement)

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“…However, the observations from the meteorological sensors are occasionally incomplete and therefore must be replaced by an alternative source. We found that surface pressure values from ERA5 have a good agreement with values from in situ sensor, with total absolute mean and rms deviations of about 0.45 hPa and 0.34 hPa (Wijaya et al, 2022). Nilsson and Elgered (2008) found that a pressure of 1 hPa may translate into an approximately 0.35 mm into error in PWV.…”

Section: Gnss and In Situ Meteorological Datasupporting

confidence: 53%

Characterizing the tropical cyclone Seroja using the Indonesian CORS network

Putri

Wijaya

Abdillah

et al. 2022

Preprint

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In the early April 2021, the tropical cyclone Seroja was formed over the Savu Sea in the southeastern Indonesia. In this study, we utilized the Global Navigation Satellite Systems (GNSS) observations to derive precipitable water vapor (PWV) from several permanent stations in the region to study Seroja. From in situ meteorological observations, we found that surface pressure values dropped by more than 20 hPa during Seroja, relative humidity increased, and temperature was reduced. PWV at two nearest stations showed an upward trend (around 70 mm at its peak) during the formation of the cyclone, then dropped immediately (less than 20 mm). After Seroja, the mean PWV was lower (56 mm before and 39 mm after), whereas the standard deviation was higher (5-6 mm before and 9 mm after). We also compared hourly PWV with precipitation from GSMaP. Before Seroja, some precipitation events occurred, followed by heavy rains that lasted for several days when the cyclone was passing. After Seroja had passed, both PWV and precipitation dropped significantly. However, while PWV values after Seroja was fluctuating, no rain occurred. We then investigated the water vapor budget to understand the change of PWV over time. We found that precipitation and the divergence of moisture flux played an important role in the change of PWV over time. Heavy precipitation during Seroja resulted in a drop in PWV, although the negative divergence provided a bit of offset. After Seroja had passed, no precipitation occurred and the change of PWV could be attributed mainly to the moisture divergence. The lagged correlation between PWV and precipitation was determined using moving average over the timeseries. The highest correlation was found 1-2 days before the event with moving average periods of 7 and 10 days.

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Section: Gnss and In Situ Meteorological Datasupporting

confidence: 53%