## 3 Results and Discussion
### Determination of Noise Patterns
The calculated amplitudes for the noise models are given in Figure 8. It can be seen that the lowest noise amplitudes were for WN. The reason for the WN amplitude differences could be the use of different GNSS receivers at the stations. A significant amount of WN amplitude and seasonal atmospheric mass distributions were thought to reflect more general physical \begin{table}
\begin{tabular}{c c c c} \hline \hline
**Station** & **WN** & **WN + FN** & **WN + RWN** \\ \hline ADIY & \(-\)2055.88 & \(-\)2021.53 & \(-\)2030.47 \\ ADIY1 & \(-\)893.33 & \(-\)870.36 & \(-\)875.66 \\ ARPK & \(-\)6117.94 & \(-\)5522.66 & \(-\)5535.37 \\ ARTV & \(-\)6228.81 & \(-\)6058.52 & \(-\)6083.00 \\ BAYB & \(-\)5480.71 & \(-\)5263.38 & \(-\)5285.34 \\ BING & \(-\)5966.24 & \(-\)5649.25 & \(-\)5674.37 \\ BTMN & \(-\)5346.34 & \(-\)5025.07 & \(-\)5030.89 \\ DIV1 & \(-\)1862.70 & \(-\)1837.18 & \(-\)1849.91 \\ DIYB & \(-\)5674.47 & \(-\)5330.02 & \(-\)5348.08 \\ EKIZ & \(-\)5608.21 & \(-\)5380.61 & \(-\)5400.12 \\ ELAZ & \(-\)6552.98 & \(-\)5582.48 & \(-\)5595.51 \\ ERGN & \(-\)5862.46 & \(-\)5438.95 & \(-\)5460.24 \\ ERZ & \(-\)3044.00 & \(-\)2957.26 & \(-\)2982.03 \\ EKZR & \(-\)4878.81 & \(-\)4669.01 & \(-\)4693.86 \\ FASA & \(-\)4466.79 & \(-\)4367.48 & \(-\)4395.73 \\ GEME & \(-\)4286.05 & \(-\)4208.82 & \(-\)4238.10 \\ GIRS & \(-\)5560.61 & \(-\)5493.86 & \(-\)5511.82 \\ GUMU & \(-\)5710.76 & \(-\)5505.63 & \(-\)5529.03 \\ GURU & \(-\)5582.92 & \(-\)5346.43 & \(-\)5367.65 \\ HINI & \(-\)5039.06 & \(-\)4906.68 & \(-\)4923.73 \\ HORS & \(-\)4864.26 & \(-\)4651.58 & \(-\)4676.16 \\ MALY & \(-\)4938.48 & \(-\)4751.52 & \(-\)4767.68 \\ MAR1 & \(-\)2810.56 & \(-\)2715.46 & \(-\)2716.60 \\ MUUS & \(-\)5508.72 & \(-\)5128.36 & \(-\)5144.83 \\ RDY & \(-\)5586.74 & \(-\)5326.16 & \(-\)5351.67 \\ RHY & \(-\)5505.22 & \(-\)5290.85 & \(-\)5310.65 \\ RZE1 & \(-\)5883.08 & \(-\)5651.90 & \(-\)5666.65 \\ SAM1 & \(-\)6262.62 & \(-\)5906.24 & \(-\)5934.94 \\ SIRT & \(-\)6470.70 & \(-\)5907.66 & \(-\)5934.17 \\ SIV1 & \(-\)2292.51 & \(-\)2143.37 & \(-\)2144.46 \\ SIVS & \(-\)5274.21 & \(-\)5002.70 & \(-\)5037.81 \\ SSE1 & \(-\)1881.27 & \(-\)1871.78 & \(-\)1876.02 \\ TNCE & \(-\)6089.55 & \(-\)5600.75 & \(-\)5634.75 \\ TOK1 & \(-\)5262.40 & \(-\)5136.50 & \(-\)5154.79 \\ TRBN & \(-\)6005.57 & \(-\)5824.70 & \(-\)5849.34 \\ TUF1 & \(-\)5358.58 & \(-\)5248.94 & \(-\)5263.92 \\ UDE1 & \(-\)1754.19 & \(-\)1703.14 & \(-\)1715.38 \\ \hline \hline \end{tabular}
\end{table} 
Table 3: MLE values for the height component of GNSS stations. based processes, such as atmospheric noise. A small amount of RWN amplitude results from more regional-scale processes, such as atmospheric effects [12; 25; 51]. As a result of the analyses, we obtained velocities for the height component of the stations. When examining the annual velocity of the height coordinate components, we observed a positive vertical velocity at the ADIY, ADIY1, EKIZ, ERGN, ERZR, and HINI GNSS stations. The station with the highest vertical velocity was ADIY1, measuring 4.92 mm/year, while the smallest vertical velocity was observed at station ERZR, measuring 0.03 mm/year. Conversely, the remaining stations exhibited a negative vertical velocity. The smallest negative vertical velocity was \(-0.03\) mm/year at the SIRT GNSS station, while the UDE1 GNSS station had the highest vertical velocity of \(-7.10\) mm/year. The vertical velocities of all GNSS stations are presented in Figure 9 and Table 1.  
Figure 8: Noise amplitudes for the height component of GNSS stations (mm). Figure 9: Vertical velocities of GNSS stations (with standard deviation).