2020

GNSS Meteorology and land subsidence at heavy rainfall in Jakarta on January 1, 2020

In the GNSS data analysis to obtain tropospheric parameters and station positions, study GNSS meteorology in Arief and Heki (2020), did not estimate them myself but downloaded them from appropriate data sets available from various research centers, such as UNR and GSI. Arief and Heki (2020), studies are performed for heavy rain episodes in the Japan area where large number of GNSS stations are available. In this study, I try to analyze the GNSS data taken in Indonesia. Here, I estimate tropospheric parameters as well as station positions using an alternative way, i.e. data analysis made by myself using an appropriate GNSS software package.

UNAVCO (https://www.unavco.org/software/data-processing/postprocessing/postprocessing.html) says that there are 3 distributions of GNSS software based on their use: “Research-Level”, “Open-Source” and “Commercial”. The usage of Open-Source software in Indonesia is quite promising and will develop rapidly considering that it is easy to obtain and simple to operate to get results.

The goal of this chapter is simply to show that GNSS meteorology can be applied in Indonesia as well as in Japan (Arief and Heki 2020), by estimating zenith tropospheric delays (ZTD) from continuous GNSS stations in Indonesia, using one such software package “goGPS”.

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