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Changes in the Water Surface Level of the Baltic Sea from Satellite Altimetry and Gravity Missions Cover

Changes in the Water Surface Level of the Baltic Sea from Satellite Altimetry and Gravity Missions

Open Access
|Oct 2024

Figures & Tables

Figure 1.

Sea level anomalies from altimetric (SSHA) and gravimetric (EWT JPL) data from 2001–2021 before the removal of seasonal signals for the Baltic Sea. The trend values are given in cm/day
Sea level anomalies from altimetric (SSHA) and gravimetric (EWT JPL) data from 2001–2021 before the removal of seasonal signals for the Baltic Sea. The trend values are given in cm/day

Figure 2.

Sea level anomalies from altimetric (SSHA) and gravimetric (EWT JPL) data from 2001–2021 after the removal of seasonal signals for the Baltic Sea. The trend values are given in cm/day
Sea level anomalies from altimetric (SSHA) and gravimetric (EWT JPL) data from 2001–2021 after the removal of seasonal signals for the Baltic Sea. The trend values are given in cm/day

Figure 3.

Correlation between altimetric (SSHA) and gravimetric (EWT JPL) anomalies for 2001–2021 before removal of seasonal signals for the Baltic Sea
Correlation between altimetric (SSHA) and gravimetric (EWT JPL) anomalies for 2001–2021 before removal of seasonal signals for the Baltic Sea

Figure 4.

Correlation between altimetric (SSHA) and gravimetric (EWT JPL) anomalies for 2001–2021 after removal of seasonal signals for the Baltic Sea
Correlation between altimetric (SSHA) and gravimetric (EWT JPL) anomalies for 2001–2021 after removal of seasonal signals for the Baltic Sea

Figure 5.

Altimetric anomalies (SSHA) and sea surface temperature (HRSST) from 1993 to 2018 before the removal of seasonal signals for the Baltic Sea. The trend values are given in cm/day
Altimetric anomalies (SSHA) and sea surface temperature (HRSST) from 1993 to 2018 before the removal of seasonal signals for the Baltic Sea. The trend values are given in cm/day

Figure 6.

Altimetric anomalies (SSHA) and sea surface temperature (HRSST) from 1993 to 2018 after the removal of seasonal signals for the Baltic Sea. The trend values are given in cm/day
Altimetric anomalies (SSHA) and sea surface temperature (HRSST) from 1993 to 2018 after the removal of seasonal signals for the Baltic Sea. The trend values are given in cm/day

Figure 7.

Correlation between altimetric anomalies (SSHA) and sea surface temperature for 1993–2018 before removal of seasonal signals for the Baltic Sea
Correlation between altimetric anomalies (SSHA) and sea surface temperature for 1993–2018 before removal of seasonal signals for the Baltic Sea

Figure 8.

Correlation between altimetric anomalies (SSHA) and sea surface temperature for 1993–2018 after removal of seasonal signals for the Baltic Sea
Correlation between altimetric anomalies (SSHA) and sea surface temperature for 1993–2018 after removal of seasonal signals for the Baltic Sea

Figure 9.

Mean sea level rise linear trends of Baltic Sea in 2001–2021 from altimetric data (SSHA) after removal of seasonal signals
Mean sea level rise linear trends of Baltic Sea in 2001–2021 from altimetric data (SSHA) after removal of seasonal signals

Figure 10.

Choropleth map of linear trends of Baltic Sea level rise in 2001–2021 from altimetric data (SSHA) after removal of seasonal signals
Choropleth map of linear trends of Baltic Sea level rise in 2001–2021 from altimetric data (SSHA) after removal of seasonal signals

Figure 11.

Sea level rise linear trends of the Baltic Sea, the central part of the Baltic Sea, and the Gulf of Gdańsk in 2001–2021 from altimetric (SSHA) and gravimetric data (EWT) after the removal of seasonal signals
Sea level rise linear trends of the Baltic Sea, the central part of the Baltic Sea, and the Gulf of Gdańsk in 2001–2021 from altimetric (SSHA) and gravimetric data (EWT) after the removal of seasonal signals

Figure 12.

Sea level rise linear trends for the Gulf of Bothnia, the Gulf of Finland, and the Gulf of Riga in 2001–2021 from altimetric (SSHA) and gravimetric data (EWT) before and after removal of seasonal signals
Sea level rise linear trends for the Gulf of Bothnia, the Gulf of Finland, and the Gulf of Riga in 2001–2021 from altimetric (SSHA) and gravimetric data (EWT) before and after removal of seasonal signals

Figure 13.

Choropleth maps of linear trends of Baltic Sea level rise in 2001–2021 from gravimetric data (EWT) after the removal of seasonal signals
Choropleth maps of linear trends of Baltic Sea level rise in 2001–2021 from gravimetric data (EWT) after the removal of seasonal signals

Figure 14.

Linear regression coefficients between altimetric anomalies (SSHA) and gravimetric anomalies (EWT JPL) for the Baltic Sea in 2001–2021 after the removal of the seasonal signal
Linear regression coefficients between altimetric anomalies (SSHA) and gravimetric anomalies (EWT JPL) for the Baltic Sea in 2001–2021 after the removal of the seasonal signal

Figure 15.

Choropleth maps of linear regression coefficients between altimetric anomalies (SSHA) and gravity anomalies (EWT JPL/CSR) of the Baltic Sea in 2001–2021 after the removal of seasonal signals
Choropleth maps of linear regression coefficients between altimetric anomalies (SSHA) and gravity anomalies (EWT JPL/CSR) of the Baltic Sea in 2001–2021 after the removal of seasonal signals

Figure 16.

Linear regression coefficients between altimetric anomalies (SSHA) and gravity anomalies (EWT JPL/CSR) of the entire area of the Baltic Sea, the central part of the Baltic Sea, and the Gulf of Gdańsk in 2001–2021
Linear regression coefficients between altimetric anomalies (SSHA) and gravity anomalies (EWT JPL/CSR) of the entire area of the Baltic Sea, the central part of the Baltic Sea, and the Gulf of Gdańsk in 2001–2021

Figure 17.

Pearson correlation coefficients between altimetric anomalies (SSHA) and gravity anomalies (EWT JPL/CSR) of the entire area of the Baltic Sea, the central part of the Baltic Sea, and the Gulf of Gdańsk in 2001–2021
Pearson correlation coefficients between altimetric anomalies (SSHA) and gravity anomalies (EWT JPL/CSR) of the entire area of the Baltic Sea, the central part of the Baltic Sea, and the Gulf of Gdańsk in 2001–2021

Figure 18.

Pearson correlation coefficients between altimetric anomalies (SSHA) and gravity anomalies (EWT JPL/CSR) of the Gulf of Bothnia, the Gulf of Finland, and the Gulf of Riga in 2001–2021
Pearson correlation coefficients between altimetric anomalies (SSHA) and gravity anomalies (EWT JPL/CSR) of the Gulf of Bothnia, the Gulf of Finland, and the Gulf of Riga in 2001–2021

Figure 19.

Choropleth maps of Pearson correlation coefficients between altimetric anomalies (SSHA) and gravity anomalies (EWT JPL/CSR) of the Baltic Sea in 2001–2021 after the removal of seasonal signals
Choropleth maps of Pearson correlation coefficients between altimetric anomalies (SSHA) and gravity anomalies (EWT JPL/CSR) of the Baltic Sea in 2001–2021 after the removal of seasonal signals

Figure 20.

Sea surface temperatures (HRRST) linear trends of the Baltic Sea in 1993–2018
Sea surface temperatures (HRRST) linear trends of the Baltic Sea in 1993–2018

Figure 21.

Choropleth map of sea surface temperatures (HRRST) linear trend of the Baltic Sea in 1993–2018 after the removal of seasonal signals
Choropleth map of sea surface temperatures (HRRST) linear trend of the Baltic Sea in 1993–2018 after the removal of seasonal signals

Figure 22.

Linear regression coefficients between altimetric anomalies (SSHA) and sea surface temperatures (HRSST) for the Baltic Sea in 1993–2018
Linear regression coefficients between altimetric anomalies (SSHA) and sea surface temperatures (HRSST) for the Baltic Sea in 1993–2018

Figure 23.

Pearson correlation coefficients between altimetric anomalies (SSHA) and sea surface temperatures (HRSST) of the Baltic Sea in 1993–2018
Pearson correlation coefficients between altimetric anomalies (SSHA) and sea surface temperatures (HRSST) of the Baltic Sea in 1993–2018

Figure 24.

Choropleth map of linear regression and Pearson correlation coefficients between altimetric anomalies (SSHA) and sea surface temperatures (HRSST) for the Baltic Sea in 1993–2018
Choropleth map of linear regression and Pearson correlation coefficients between altimetric anomalies (SSHA) and sea surface temperatures (HRSST) for the Baltic Sea in 1993–2018

Configurations of the compared satellite data

PeriodData set No. 1Data set No. 2
01.01.2001–01.01.2021Seasonalized SSHASeasonalized EWT (JPL)
01.01.2001–01.01.2021Deseasonalized SSHADeseasonalized EWT (JPL)
01.01.2001–01.01.2021Seasonalized SSHASeasonalized EWT (CSR)
01.01.2001–01.01.2021Deseasonalized SSHADeseasonalized EWT (CSR)
01.01.1993–01.01.2018Seasonalized SSHASeasonalized HRSST
01.01.1993–01.01.2018Deseasonalized SSHADeseasonalized HRSST

Results of statistical analyses of sea level changes from altimetric (SSHA) and sea surface temperature (HRSST) data before removal of seasonal signals

RegionPeriodSea surface temperature rise trend (HRSST) (C°/yr)Sea level rise trend (SSHA) (cm/yr)Linear regression coefficient (HRSST – SSHA)Pearson correlation coefficient (HRSST – SSHA)
Baltic Sea1993–19980.29−0.29−0.050.02
1998–20030.37−0.66−0.200.09
2003–20080.552.630.570.25
2008–20130.152.080.560.25
2013–20180.223.580.230.09
1993–20180.040.510.260.11
The central part of the Baltic Sea1993–19980.260.000.090.04
1998–20030.40−0.690.000.00
2003–20080.552.150.740.30
2008–20130.111.610.800.33
2013–20180.293.070.440.17
1993–20180.040.470.450.17
Gulf of Gdańsk1993–19980.260.030.050.02
1998–20030.33−0.29−0.310.13
2003–20080.582.660.720.32
2008–20130.152.410.700.31
2013–20180.333.650.440.18
1993–20180.070.550.370.15
Gulf of Bothnia1993–19980.37−0.62−0.150.06
1998–20030.44−0.66−0.050.02
2003–20080.512.850.570.23
2008–20130.071.930.540.23
2013–20181.833.800.210.07
1993–20180.040.550.260.10
Gulf of Finland1993–19980.40−0.37−0.080.04
1998–20030.37−0.62−0.140.08
2003–20080.662.770.520.27
2008–20130.262.080.540.28
2013–20180.113.47−0.030.04
1993–20180.070.510.200.10
Gulf of Riga1993–19980.33−0.26−0.140.07
1998–20030.40−0.62−0.260.15
2003–20080.692.740.540.28
2008–20130.182.370.490.25
2013–20180.223.580.130.05
1993–20180.070.580.190.09

Results of statistical analyses of sea level changes from altimetric (SSHA) and gravimetric (EWT) data before removal of seasonal signals

RegionPeriodSea level rise trend (cm/yr)Linear regression coefficientPearson correlation coefficient
SSHAEWT JPLEWT CSRSSHA − EWT JPLSSHA − EWT CSRSSHA − EWT JPLSSHA − EWT CSR
Baltic Sea2001–20061.203.763.360.700.590.920.87
2006–2011−1.50−0.69−0.470.650.560.940.90
2011–20160.991.13−0.660.670.560.920.86
2016–20211.681.901.060.670.560.880.79
2001–20210.620.950.330.720.550.920.86
The central part of the Baltic Sea2001–20061.204.493.390.760.620.890.83
2006–2011−1.93−1.13−0.580.640.580.890.86
2011–20161.640.62−0.580.730.580.890.82
2016–20211.501.570.950.670.560.830.73
2001–20210.580.840.290.720.560.880.81
Gulf of Gdańsk2001–20061.022.481.570.540.350.850.73
2006–2011−1.53−1.10−0.950.590.380.910.83
2011–20161.100.33−1.100.550.380.870.73
2016–20211.130.770.370.550.420.850.74
2001–20210.620.51−0.180.570.320.890.67
Gulf of Bothnia2001–20061.503.944.490.670.630.920.89
2006–2011−1.53−2.92−0.370.650.600.940.89
2011–20160.991.06−0.110.670.580.930.88
2016–20211.752.011.680.670.600.880.80
2001–20210.621.130.580.730.610.900.88
Gulf of Finland2001–20061.175.667.010.941.010.910.85
2006–2011−1.57−0.581.060.760.680.920.81
2011–20161.390.51−0.990.760.560.890.75
2016–20212.151.932.120.630.560.830.74
2001–20210.621.020.910.810.720.900.81
Gulf of Riga2001–20061.244.052.300.740.460.900.80
2006–2011−1.50−0.29−0.620.650.460.910.87
2011–20161.350.77−0.550.530.320.870.81
2016–20211.931.570.880.520.350.820.68
2001–20210.620.95−0.030.640.350.870.74

Results of statistical analyses of sea level changes from altimetric (SSHA) and gravimetric (EWT) data after removal of seasonal signals

RegionPeriodSea level rise trend (cm/yr)Linear regression coefficientPearson correlation coefficient
SSHAEWT JPLEWT CSRSSHA – EWT JPLSSHA – EWT CSRSSHA – EWT JPLSSHA – EWT CSR
Baltic Sea2001–20060.803.252.880.700.620.920.91
2006–2011−1.90−0.84−0.620.650.550.960.94
2011–20160.580.40−1.130.630.480.910.84
2016–20211.311.240.690.630.500.870.82
2001–20210.580.910.290.710.510.910.89
The central part of the Baltic Sea2001–20060.8039.062.850.800.670.890.87
2006–2011−2.34−1.24−0.730.670.590.940.93
2011–20161.240.22−1.100.670.500.910.84
2016–20211.101.240.550.670.530.850.81
2001–20210.550.800.290.720.540.900.87
Gulf of Gdańsk2001–20060.662.081.200.570.370.850.81
2006–2011−1.90−1.28−1.060.590.380.900.87
2011–20160.77−0.07−1.460.490.330.840.69
2016–20210.800.400.070.540.390.860.77
2001–20210.580.51−0.180.560.290.880.68
Gulf of Bothnia2001–20061.103.393.940.660.650.910.91
2006–2011−1.93−0.44−0.580.640.560.950.92
2011–20160.580.66−0.690.610.480.900.86
2016–20211.351.571.240.620.520.870.82
2001–20210.581.100.580.710.560.890.89
Gulf of Finland2001–20060.774.896.350.901.030.880.81
2006–2011−1.97−0.800.840.740.660.920.81
2011–20160.99−0.04−1.500.690.510.810.68
2016–20211.751.391.610.600.550.780.71
2001–20210.621.020.910.780.710.870.79
Gulf of Riga2001–20060.843.501.860.720.440.870.85
2006–2011−1.90−0.47−0.840.640.410.910.91
2011–20160.910.33−0.990.460.230.810.71
2016–20211.531.170.440.500.300.830.77
2001–20210.580.95−0.040.620.280.850.74

Results of statistical analyses of sea level changes from altimetric (SSHA) and sea surface temperature (HRSST) data after removal of seasonal signals

RegionPeriodSea surface temperature rise trend (HRSST) (C°/yr)Sea level rise trend (SSHA) (cm/yr)Linear regression coefficient (HRSST – SSHA)Pearson correlation coefficient (HRSST – SSHA)
Baltic Sea1993–19980.040.512.400.16
1998–20030.07−0.69−0.650.05
2003–20080.11−1.064.020.33
2008–20130.292.265.180.35
2013–2018−0.111.681.840.10
1993–20180.040.513.550.26
The central part of the Baltic Sea1993–19980.01−0.401.970.15
1998–20030.15−1.10−1.250.10
2003–20080.331.753.050.26
2008–2013−0.151.202.950.21
2013–20180.042.662.980.17
1993–20180.040.472.600.20
Gulf of Gdańsk1993–19980.01−0.333.590.30
1998–20030.07−0.660.200.02
2003–20080.332.303.870.38
2008–2013−0.112.042.910.23
2013–20180.073.293.250.21
1993–20180.040.553.690.31
Gulf of Bothnia1993–19980.11−1.060.210.01
1998–20030.22−1.060.140.01
2003–20080.262.452.770.22
2008–2013−0.181.534.560.30
2013–2018−0.073.361.490.09
1993–20180.030.512.390.17
Gulf of Finland1993–19980.15−0.772.660.23
1998–20030.07−1.020.920.10
2003–20080.372.373.690.40
2008–2013−0.031.684.210.42
2013–2018−0.183.07−0.210.02
1993–20180.070.512.900.29
Gulf of Riga1993–19980.04−0.692.140.18
1998–20030.11−1.02−0.010.01
2003–20080.442.344.000.48
2008–2013−0.111.973.420.33
2013–2018−0.073.182.350.16
1993–20180.070.553.160.30
DOI: https://doi.org/10.2478/arsa-2024-0008 | Journal eISSN: 2083-6104 | Journal ISSN: 1509-3859
Language: English
Page range: 100 - 126
Submitted on: Jul 11, 2024
Accepted on: Sep 5, 2024
Published on: Oct 8, 2024
Published by: Polish Academy of Sciences, Space Research Centre
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2024 Jakub BIAŁAS, Krzysztof SOŚNICA, published by Polish Academy of Sciences, Space Research Centre
This work is licensed under the Creative Commons Attribution 4.0 License.