Articles | Volume 17, issue 1
https://doi.org/10.5194/os-17-35-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/os-17-35-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
The zone of influence: matching sea level variability from coastal altimetry and tide gauges for vertical land motion estimation
Deutsches Geodätisches Forschungsinstitut der Technischen Universität München, Arcisstraße 21, 80333 Munich, Germany
Marcello Passaro
Deutsches Geodätisches Forschungsinstitut der Technischen Universität München, Arcisstraße 21, 80333 Munich, Germany
Denise Dettmering
Deutsches Geodätisches Forschungsinstitut der Technischen Universität München, Arcisstraße 21, 80333 Munich, Germany
Christian Schwatke
Deutsches Geodätisches Forschungsinstitut der Technischen Universität München, Arcisstraße 21, 80333 Munich, Germany
Laura Sánchez
Deutsches Geodätisches Forschungsinstitut der Technischen Universität München, Arcisstraße 21, 80333 Munich, Germany
Florian Seitz
Deutsches Geodätisches Forschungsinstitut der Technischen Universität München, Arcisstraße 21, 80333 Munich, Germany
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Cited
17 citations as recorded by crossref.
- Coastal vertical land motion across Southeast Asia derived from combining tide gauge and satellite altimetry observations D. Peng et al. 10.1016/j.srs.2024.100176
- The evolution of 21st century sea-level projections from IPCC AR5 to AR6 and beyond A. Slangen et al. 10.1017/cft.2022.8
- Coastal Assessment of Sentinel-6 Altimetry Data during the Tandem Phase with Jason-3 M. Passaro et al. 10.3390/rs15174161
- Offsets in tide-gauge reference levels detected by satellite altimetry: ten case studies R. Ray et al. 10.1007/s00190-023-01800-7
- Prediction of Mean Sea Level with GNSS-VLM Correction Using a Hybrid Deep Learning Model in Australia N. Raj & J. Brown 10.3390/rs15112881
- Sea Level Rise Estimation on the Pacific Coast from Southern California to Vancouver Island X. He et al. 10.3390/rs14174339
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- Reconstruction of Subsurface Temperature Field in the South China Sea From Satellite Observations Based on an Attention U-Net Model H. Xie et al. 10.1109/TGRS.2022.3200545
- Estimating Vertical Land Motion and Residual Altimeter Systematic Errors Using a Kalman‐Based Approach M. Rezvani et al. 10.1029/2020JC017106
- On the potential of mapping sea level anomalies from satellite altimetry with Random Forest Regression M. Passaro & M. Juhl 10.1007/s10236-023-01540-4
- Disentangling vertical land motion and waves from coastal sea level altimetry and tide gauges S. Dealbera et al. 10.1016/j.csr.2021.104596
- Evidence and Implications of Hydrological and Climatic Change in the Reno and Lamone River Basins and Related Coastal Areas (Emilia-Romagna, Northern Italy) over the Last Century M. Meli & C. Romagnoli 10.3390/w14172650
- Regional variations in relative sea-level changes influenced by nonlinear vertical land motion J. Oelsmann et al. 10.1038/s41561-023-01357-2
- Bayesian modelling of piecewise trends and discontinuities to improve the estimation of coastal vertical land motion J. Oelsmann et al. 10.1007/s00190-022-01645-6
- Sea-level variability and change along the Norwegian coast between 2003 and 2018 from satellite altimetry, tide gauges, and hydrography F. Mangini et al. 10.5194/os-18-331-2022
- Determining Undersampled Coastal Tidal Harmonics Using Regularized Least Squares R. Wang et al. 10.1029/2023EA002885
16 citations as recorded by crossref.
- Coastal vertical land motion across Southeast Asia derived from combining tide gauge and satellite altimetry observations D. Peng et al. 10.1016/j.srs.2024.100176
- The evolution of 21st century sea-level projections from IPCC AR5 to AR6 and beyond A. Slangen et al. 10.1017/cft.2022.8
- Coastal Assessment of Sentinel-6 Altimetry Data during the Tandem Phase with Jason-3 M. Passaro et al. 10.3390/rs15174161
- Offsets in tide-gauge reference levels detected by satellite altimetry: ten case studies R. Ray et al. 10.1007/s00190-023-01800-7
- Prediction of Mean Sea Level with GNSS-VLM Correction Using a Hybrid Deep Learning Model in Australia N. Raj & J. Brown 10.3390/rs15112881
- Sea Level Rise Estimation on the Pacific Coast from Southern California to Vancouver Island X. He et al. 10.3390/rs14174339
- North SEAL: a new dataset of sea level changes in the North Sea from satellite altimetry D. Dettmering et al. 10.5194/essd-13-3733-2021
- A Review of Current Development of Altimetry Technique for Tidal and Water Level Measurement Practices and Its Relevance to Energy Industry Applications K. Nugroho & A. Din 10.1088/1755-1315/1064/1/012050
- Reconstruction of Subsurface Temperature Field in the South China Sea From Satellite Observations Based on an Attention U-Net Model H. Xie et al. 10.1109/TGRS.2022.3200545
- Estimating Vertical Land Motion and Residual Altimeter Systematic Errors Using a Kalman‐Based Approach M. Rezvani et al. 10.1029/2020JC017106
- On the potential of mapping sea level anomalies from satellite altimetry with Random Forest Regression M. Passaro & M. Juhl 10.1007/s10236-023-01540-4
- Disentangling vertical land motion and waves from coastal sea level altimetry and tide gauges S. Dealbera et al. 10.1016/j.csr.2021.104596
- Evidence and Implications of Hydrological and Climatic Change in the Reno and Lamone River Basins and Related Coastal Areas (Emilia-Romagna, Northern Italy) over the Last Century M. Meli & C. Romagnoli 10.3390/w14172650
- Regional variations in relative sea-level changes influenced by nonlinear vertical land motion J. Oelsmann et al. 10.1038/s41561-023-01357-2
- Bayesian modelling of piecewise trends and discontinuities to improve the estimation of coastal vertical land motion J. Oelsmann et al. 10.1007/s00190-022-01645-6
- Sea-level variability and change along the Norwegian coast between 2003 and 2018 from satellite altimetry, tide gauges, and hydrography F. Mangini et al. 10.5194/os-18-331-2022
1 citations as recorded by crossref.
Latest update: 16 Nov 2024
Short summary
Vertical land motion (VLM) significantly contributes to relative sea level change. Here, we improve the accuracy and precision of VLM estimates, which are based on the difference of altimetry tide gauge observations. Advanced coastal altimetry and an improved coupling procedure of along-track altimetry data and high-frequency tide gauge observations are key factors for a greater comparability of altimetry and tide gauges in the coastal zone and thus for more reliable VLM estimates.
Vertical land motion (VLM) significantly contributes to relative sea level change. Here, we...