# Long-Term and Decadal Sea-Level Trends of the Baltic Sea Using Along-Track Satellite Altimetry
## 5 Results
### Decadal Regional ASL Trend
#### 5.3.2 Decadal Trend from SA and TG
\begin{table}
\begin{tabular}{c c c c c c c c c c c} \hline \hline \multirow{2}{*}{ID} & \multicolumn{3}{c}{**1995–2022**} & \multicolumn{3}{c}{**January 2000–December 2009**} & \multicolumn{3}{c}{**January 2010–December 2019**} & \multicolumn{3}{c}{**January 2000–December 2019**} \\ \cline{2-11}  & **SA** & **TG** & **Diff (\%)** & **SA** & **TG** & **Diff (\%)** & **SA** & **TG** & **Diff (\%)** \\ \hline
1 & 2954 & 2094 & 860 (29\%) & 962 & 373 & 589 (61\%) & 1498 & 1391 & 107 (7\%) & 2460 & 1764 & 696 (28\%) \\
2 & 3600 & 3578 & 22 (1\%) & 1286 & 1283 & 3 (0\%) & 1721 & 1705 & 16 (1\%) & 3007 & 2988 & 19 (1\%) \\
3 & 3229 & 3010 & 219 (7\%) & 1059 & 996 & 63 (6\%) & 1572 & 1566 & 6 (0\%) & 2631 & 2562 & 69 (3\%) \\
4 & 2781 & 2780 & 1 (0\%) & 956 & 956 & 0 (0\%) & 1390 & 1389 & 1 (0\%) & 2346 & 2345 & 1 (0\%) \\
5 & 1843 & 1786 & 57 (3\%) & 482 & 438 & 44 (9\%) & 987 & 974 & 13 (1\%) & 1469 & 1412 & 57 (4\%) \\
6 & 2854 & 2853 & 1 (0\%) & 1004 & 1004 & 0 (0\%) & 1505 & 1505 & 0 (0\%) & 2509 & 2509 & 0 (0\%) \\
7 & 3211 & 3141 & 70 (2\%) & 1129 & 1129 & 0 (0\%) & 1633 & 1622 & 11 (1\%) & 2762 & 2751 & 11 (0\%) \\
8 & 3272 & 2995 & 277 (8\%) & 1206 & 960 & 246 (20\%) & 1598 & 1583 & 15 (1\%) & 2804 & 2543 & 261 (9\%) \\
9 & 2806 & 2714 & 92 (3\%) & 989 & 989 & 0 (0\%) & 1319 & 1319 & 0 (0\%) & 2308 & 2308 & 0 (0\%) \\
10 & 2582 & 2581 & 1 (0\%) & 653 & 653 & 0 (0\%) & 1401 & 1401 & 0 (0\%) & 2054 & 2054 & 0 (0\%) \\
11 & 2812 & 2811 & 1 (0\%) & 873 & 873 & 0 (0\%) & 1542 & 1542 & 0 (0\%) & 2415 & 2415 & 0 (0\%) \\
12 & 3717 & 3716 & 1 (0\%) & 1349 & 1349 & 0 (0\%) & 1857 & 1857 & 0 (0\%) & 3206 & 3206 & 0 (0\%) \\
13 & 3225 & 3206 & 19 (1\%) & 1118 & 1118 & 0 (0\%) & 1628 & 1615 & 13 (1\%) & 2746 & 2733 & 13 (0\%) \\ \hline \hline \end{tabular}
\end{table} 
Table 4: Number of SA and TG datasets at the time of SA cycle (\(DT_{TG@SA\ cycle}\)) at each TG station during different time periods. Diff = the difference between them; the missing data percentage is in brackets. \begin{table}
\begin{tabular}{c c c c c c c c c c} \hline \hline \multicolumn{2}{c}{\(DT_{SA\_GTG}\)} & \multicolumn{2}{c}{\(DT_{TG}\)} & \multicolumn{2}{c}{\(DT_{TG0}\)} & \multicolumn{2}{c}{\(DT_{TG0}\)} & \multicolumn{2}{c}{\(DT_{TG}\)} & \multicolumn{2}{c}{\(DT_{TG0}\)} \\ \cline{2-11}  & **January** & **January** & **January** & **2000–** & **January** & **2010–** & **January** & **2000–** & **January** & **2010–** & **January** & **2010–** & **January** & **2010–** \\
**10** & **December** & **December** & **December** & **December** & **December** & **December** & **December** & **2019** & **1995–2022** & **1995–2022** & **1995–2022** & **1995–2022** \\  & **2009** & **2019** & **2019** & **2009** & **2019** & **2009** & **2009** & **2019** & **2019** & **2019** & **–**2021** & **1995–202** & **1995–2022** \\ \hline
1 & 7.7 \(\pm\) 0.04 & 4 the sea-level trend experienced a large change between the decades (i.e., <1 mm/yr). This occurred in five out of the thirteen stations. These stations were at Ristna (#2), Ventspils (#3), Swinoujscie (#6), Simrishamn (#9), and Hanko (#12). It is important to note that during the period 2000-2009, stations Dirhami (#1), Ventspils (#3), Ustka (#4), Kolobrzeg (#5), and Swinoujscie (#6) experienced the most significant data gaps, totalling 945 h of missing data for all stations during this period, compared to the period 2010-2019, which had a total of 182 h of missing data. However, it is notable that other stations with minimal data gaps (i.e., <10%) also exhibited higher decadal rates for 2000-2009, such as Sassnitz (#7), Rodvig (#8), Kungsholmsfort (#10), and Pori (#13). This suggests that while data gaps might have influenced the results of 2000-2009, they might not be the only reason for potential phenomena or issues affecting these stations during that decade. Further examination is needed to better understand these patterns.