Spatial Variation and Uncertainty Analysis of Black Sea Level Change from Virtual Altimetry Stations over 1993–2020
Global mean sea level has been rising steadily since the early 1990s, yet regional sea level changes exhibit complex spatial variability that frequently contrasts with global trends. Investigating sea level variations in semi-enclosed basins such as the Black Sea is crucial for elucidating regional...
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MDPI AG
2025-06-01
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| author | Yuxuan Fan Shunqiang Hu Xiwen Sun Xiaoxing He Jianhao Zhang Wei Jin Yu Liao |
| author_facet | Yuxuan Fan Shunqiang Hu Xiwen Sun Xiaoxing He Jianhao Zhang Wei Jin Yu Liao |
| author_sort | Yuxuan Fan |
| collection | DOAJ |
| description | Global mean sea level has been rising steadily since the early 1990s, yet regional sea level changes exhibit complex spatial variability that frequently contrasts with global trends. Investigating sea level variations in semi-enclosed basins such as the Black Sea is crucial for elucidating regional responses to climate change and characterizing its unique spatiotemporal evolution patterns. In this study, we employ satellite altimetry (SA) data to study sea level changes, spatial variability, and seasonal patterns in the Black Sea over eight distinct time periods with temporally correlated noise, and our results show good consistency with existing studies. The results show that sea level changes are non-linear over time and exhibit spatial variability in the Black Sea. The estimated sea level trend fluctuates over brief intervals, but extended time series provide reduced uncertainty in the trend and more precise estimation over a 28-year time series. The annual amplitude and phase derived from virtual altimetry data (1993–2020) exhibit a distinct seasonal pattern, with peak sea levels typically occurring between November and February. Furthermore, to reduce the uncertainty induced by noise in the sea surface height (SSH) time series, principal component analysis (PCA) was utilized to denoise the SSH data from 1993 to 2020, yielding a sea level trend of 1.76 ± 0.56 mm/yr. Denoising reduced the trend uncertainty by 57%, decreased the root mean square error of the SSH series by 5.06 mm, and decreased the annual amplitude by 23.35%. |
| format | Article |
| id | doaj-art-feabb7011b1a4da690840aeec397e3d8 |
| institution | DOAJ |
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| language | English |
| publishDate | 2025-06-01 |
| publisher | MDPI AG |
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| spelling | doaj-art-feabb7011b1a4da690840aeec397e3d82025-08-20T03:16:42ZengMDPI AGRemote Sensing2072-42922025-06-011713222810.3390/rs17132228Spatial Variation and Uncertainty Analysis of Black Sea Level Change from Virtual Altimetry Stations over 1993–2020Yuxuan Fan0Shunqiang Hu1Xiwen Sun2Xiaoxing He3Jianhao Zhang4Wei Jin5Yu Liao6Jiangxi Province Key Laboratory of Water Ecological Conservation in Headwater Regions (2023SSY02031), Jiangxi University of Science and Technology, 1958 Ke-Jia Road, Ganzhou 341000, ChinaKey Laboratory of Poyang Lake Wetland and Watershed Research, Ministry of Education, Jiangxi Normal University, Nanchang 330022, ChinaSchool of Surveying and Geoinformation Engineering, East China University of Technology, Nanchang 330013, ChinaJiangxi Province Key Laboratory of Water Ecological Conservation in Headwater Regions (2023SSY02031), Jiangxi University of Science and Technology, 1958 Ke-Jia Road, Ganzhou 341000, ChinaJiangxi Province Key Laboratory of Water Ecological Conservation in Headwater Regions (2023SSY02031), Jiangxi University of Science and Technology, 1958 Ke-Jia Road, Ganzhou 341000, ChinaJiangxi Province Key Laboratory of Water Ecological Conservation in Headwater Regions (2023SSY02031), Jiangxi University of Science and Technology, 1958 Ke-Jia Road, Ganzhou 341000, ChinaJiangxi Province Key Laboratory of Water Ecological Conservation in Headwater Regions (2023SSY02031), Jiangxi University of Science and Technology, 1958 Ke-Jia Road, Ganzhou 341000, ChinaGlobal mean sea level has been rising steadily since the early 1990s, yet regional sea level changes exhibit complex spatial variability that frequently contrasts with global trends. Investigating sea level variations in semi-enclosed basins such as the Black Sea is crucial for elucidating regional responses to climate change and characterizing its unique spatiotemporal evolution patterns. In this study, we employ satellite altimetry (SA) data to study sea level changes, spatial variability, and seasonal patterns in the Black Sea over eight distinct time periods with temporally correlated noise, and our results show good consistency with existing studies. The results show that sea level changes are non-linear over time and exhibit spatial variability in the Black Sea. The estimated sea level trend fluctuates over brief intervals, but extended time series provide reduced uncertainty in the trend and more precise estimation over a 28-year time series. The annual amplitude and phase derived from virtual altimetry data (1993–2020) exhibit a distinct seasonal pattern, with peak sea levels typically occurring between November and February. Furthermore, to reduce the uncertainty induced by noise in the sea surface height (SSH) time series, principal component analysis (PCA) was utilized to denoise the SSH data from 1993 to 2020, yielding a sea level trend of 1.76 ± 0.56 mm/yr. Denoising reduced the trend uncertainty by 57%, decreased the root mean square error of the SSH series by 5.06 mm, and decreased the annual amplitude by 23.35%.https://www.mdpi.com/2072-4292/17/13/2228Black Seasea level trenduncertaintysatellite altimetry |
| spellingShingle | Yuxuan Fan Shunqiang Hu Xiwen Sun Xiaoxing He Jianhao Zhang Wei Jin Yu Liao Spatial Variation and Uncertainty Analysis of Black Sea Level Change from Virtual Altimetry Stations over 1993–2020 Remote Sensing Black Sea sea level trend uncertainty satellite altimetry |
| title | Spatial Variation and Uncertainty Analysis of Black Sea Level Change from Virtual Altimetry Stations over 1993–2020 |
| title_full | Spatial Variation and Uncertainty Analysis of Black Sea Level Change from Virtual Altimetry Stations over 1993–2020 |
| title_fullStr | Spatial Variation and Uncertainty Analysis of Black Sea Level Change from Virtual Altimetry Stations over 1993–2020 |
| title_full_unstemmed | Spatial Variation and Uncertainty Analysis of Black Sea Level Change from Virtual Altimetry Stations over 1993–2020 |
| title_short | Spatial Variation and Uncertainty Analysis of Black Sea Level Change from Virtual Altimetry Stations over 1993–2020 |
| title_sort | spatial variation and uncertainty analysis of black sea level change from virtual altimetry stations over 1993 2020 |
| topic | Black Sea sea level trend uncertainty satellite altimetry |
| url | https://www.mdpi.com/2072-4292/17/13/2228 |
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