TY - JOUR
T1 - An Estimation of Precipitable Water Vapour Around Surabaya City Using GIPSY-X
AU - Dermawan, A. A.Adhi
AU - Handoko, Eko Yuli
AU - Maulida, Putra
N1 - Publisher Copyright:
© 2023 Institute of Physics Publishing. All rights reserved.
PY - 2023
Y1 - 2023
N2 - Precipitable water vapor is a crucial climatic parameter that indicates the available humidity in the atmosphere. Precipitable water vapor is produced by evaporation/evapotranspiration from the surface to the atmosphere and thus plays an important role in the water cycle. As an essential indicator of climate change, water vapor contributes significantly to the thermodynamics of the atmosphere. Zenith Total Delay can be calculated using the Precise Point Positioning strategy and all parameters. Using the parameter mapping function, Slant Tropospheric Delay can be converted to Zenith Total Delay, which is affected by temperature, pressure, and humidity. We processed the GNSS data from five stations surrounding Surabaya City using GipyX. Advanced processing generates five minutes of ZTD estimation on each station for five years of observation. A high correlation of ZTD estimated using GipsyX (corr = 0.88) with ZTD at meteorological rinex data of DARW station shows our estimation's promising and dependable result. The ZTD time series shows consistent patterns on each station, showing the significant contribution of regional signals such as monsoon and ENSO.
AB - Precipitable water vapor is a crucial climatic parameter that indicates the available humidity in the atmosphere. Precipitable water vapor is produced by evaporation/evapotranspiration from the surface to the atmosphere and thus plays an important role in the water cycle. As an essential indicator of climate change, water vapor contributes significantly to the thermodynamics of the atmosphere. Zenith Total Delay can be calculated using the Precise Point Positioning strategy and all parameters. Using the parameter mapping function, Slant Tropospheric Delay can be converted to Zenith Total Delay, which is affected by temperature, pressure, and humidity. We processed the GNSS data from five stations surrounding Surabaya City using GipyX. Advanced processing generates five minutes of ZTD estimation on each station for five years of observation. A high correlation of ZTD estimated using GipsyX (corr = 0.88) with ZTD at meteorological rinex data of DARW station shows our estimation's promising and dependable result. The ZTD time series shows consistent patterns on each station, showing the significant contribution of regional signals such as monsoon and ENSO.
UR - http://www.scopus.com/inward/record.url?scp=85147262461&partnerID=8YFLogxK
U2 - 10.1088/1755-1315/1127/1/012004
DO - 10.1088/1755-1315/1127/1/012004
M3 - Conference article
AN - SCOPUS:85147262461
SN - 1755-1307
VL - 1127
JO - IOP Conference Series: Earth and Environmental Science
JF - IOP Conference Series: Earth and Environmental Science
IS - 1
M1 - 012004
T2 - 7th Geomatics International Conference, GEOICON 2022
Y2 - 26 July 2022
ER -