Abstract
In this study, when the height components of continuous GNSS stations were examined, it was seen that there were seasonal effects, and it was investigated whether the height components were related to meteorological parameters. Linear regression analysis was performed to obtain how dependent the height components of the continuous GNSS stations were on meteorological parameters. As a result of the analysis, the height components of the continuous GNSS stations are dependent on the meteorological parameters such as temperature, pressure, relative humidity, wind velocity and precipitation. In addition, height component time series analysis of continuous GNSS stations was performed by using Autoregressive Moving Average (ARMA) models from linear time series methods. As a result of the study, the performance of the ARMA modeling results again indicated the dependence of the height component of the continuous GNSS stations on the meteorological parameters.Moreover, the measurements of Turkish National Permanent GNSS Network-Aktif (TUSAGA-Aktif) stations covering the 2014-2019 date range were used. The daily coordinates of GNSS stations were obtained as a result of GAMIT/GLOBK software solution. The analyzes subject to the study were carried out in Python.Keywords: GNSS height component, Meteorological parameters, Linear Regression, ARMA Model