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Characterizing the tropical cyclone Seroja using the Indonesian CORS network

Author

Listed:
  • Nabila S. E. Putri

    (Faculty of Earth Sciences and Technology, Bandung Institute of Technology)

  • Dudy D. Wijaya

    (Bandung Institute of Technology)

  • Muhammad R. Abdillah

    (Bandung Institute of Technology)

  • Zamzam A. J. Tanuwijaya

    (Bandung Institute of Technology)

  • Sidik T. Wibowo

    (Geospatial Information Agency (BIG))

  • Wedyanto Kuntjoro

    (Bandung Institute of Technology)

Abstract

In the early April 2021, the tropical cyclone Seroja was formed over the Savu Sea in the southeastern Indonesia. Seroja provided a unique opportunity to observe a tropical cyclone over the Indonesian region using ground-based global navigation satellite systems (GNSS) observations. Precipitable water vapor (PWV) from several permanent GNSS stations in the region was utilized to detect Seroja. From in situ meteorological observations, we found that surface pressure values dropped by more than 14 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 the global satellite mapping of precipitation (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 were 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 time series. The highest correlation was found 1–2 days before the event with moving average periods of 7 and 10 days.

Suggested Citation

  • Nabila S. E. Putri & Dudy D. Wijaya & Muhammad R. Abdillah & Zamzam A. J. Tanuwijaya & Sidik T. Wibowo & Wedyanto Kuntjoro, 2023. "Characterizing the tropical cyclone Seroja using the Indonesian CORS network," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 119(3), pages 1819-1838, December.
  • Handle: RePEc:spr:nathaz:v:119:y:2023:i:3:d:10.1007_s11069-023-06181-w
    DOI: 10.1007/s11069-023-06181-w
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