Articles | Volume 15, issue 9
https://doi.org/10.5194/essd-15-4065-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-15-4065-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
The DTU21 global mean sea surface and first evaluation
DTU Space, National Space Institute, Elektrovej 327/328, 2800
Kongens Lyngby, Denmark
Stine Kildegaard Rose
DTU Space, National Space Institute, Elektrovej 327/328, 2800
Kongens Lyngby, Denmark
Adili Abulaitijiang
Institute of Geodesy and Geoinformation, University of Bonn,
Nussallee 17, 53115 Bonn, Germany
Shengjun Zhang
School of Resources and Civil Engineering, Northeastern University,
Shenyang, China
Sara Fleury
LEGOS, Observatoire Midi-Pyrénées 14, avenue Édouard
Belin 31400, Toulouse, France
Viewed
Total article views: 2,747 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 08 May 2023)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
1,932 | 726 | 89 | 2,747 | 87 | 77 |
- HTML: 1,932
- PDF: 726
- XML: 89
- Total: 2,747
- BibTeX: 87
- EndNote: 77
Total article views: 2,001 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 13 Sep 2023)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
1,494 | 434 | 73 | 2,001 | 79 | 70 |
- HTML: 1,494
- PDF: 434
- XML: 73
- Total: 2,001
- BibTeX: 79
- EndNote: 70
Total article views: 746 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 08 May 2023)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
438 | 292 | 16 | 746 | 8 | 7 |
- HTML: 438
- PDF: 292
- XML: 16
- Total: 746
- BibTeX: 8
- EndNote: 7
Viewed (geographical distribution)
Total article views: 2,747 (including HTML, PDF, and XML)
Thereof 2,720 with geography defined
and 27 with unknown origin.
Total article views: 2,001 (including HTML, PDF, and XML)
Thereof 1,960 with geography defined
and 41 with unknown origin.
Total article views: 746 (including HTML, PDF, and XML)
Thereof 746 with geography defined
and 0 with unknown origin.
Country | # | Views | % |
---|
Country | # | Views | % |
---|
Country | # | Views | % |
---|
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Cited
18 citations as recorded by crossref.
- Improved Inland Water Level Estimates with Sentinel-6 Fully Focused SAR Processing: A Case Study in the Ebre River Basin X. Domingo et al. 10.3390/rs17030531
- Troposphere Sensing Using Grazing‐Angle GNSS‐R Measurement From LEO Satellites Y. Wang 10.1029/2023GL106249
- SDUST2023VGGA: a global ocean vertical gradient of gravity anomaly model determined from multidirectional data from mean sea surface R. Zhou et al. 10.5194/essd-17-817-2025
- A Novel Eötvös Correction Method Based on Passive Velocity Compensated INS C. Xiong et al. 10.1109/TIM.2024.3500078
- Altimeter Calibrations in the Preliminary Four Years’ Operation of Wanshan Calibration Site W. Zhai et al. 10.3390/rs16061087
- RSIT: A waveform retracking method based on reconstructed sea surface height and iterative threshold for coastal altimetry data Z. Tu et al. 10.1016/j.jag.2024.104346
- SDUST2020MGCR: a global marine gravity change rate model determined from multi-satellite altimeter data F. Zhu et al. 10.5194/essd-16-2281-2024
- ALBATROSS: Advancing Southern Ocean tide modelling with high resolution and enhanced bathymetry E. Le Merle et al. 10.1016/j.polar.2024.101124
- Modeling Marine Geoid in the China Seas and Its Adjacent Ocean Based on Satellite Altimeter-Derived Gravity Anomaly Model H. Zhang et al. 10.1109/ACCESS.2024.3501279
- Seafloor Topography Modeling by Fusing ICESat-2 Lidar, Echo Sounding, and Airborne and Altimetric Gravity Data From Spherical Radial Basis Functions Y. Wu et al. 10.1109/TGRS.2024.3523893
- Beyond Exact Repeat Missions: Embracing Geodetic Altimetry for Inland Water Monitoring and Modeling L. Jiang et al. 10.34133/remotesensing.0269
- SDUST2023GRA_MSS: the new global marine gravity anomaly model determined from mean sea surface model J. Guo et al. 10.1038/s41597-025-04394-1
- Chukchi Sea circulation and Bering Strait flow reversals from reprocessed satellite altimetry M. Pisareva et al. 10.1007/s10236-025-01672-9
- Evaluating the Signal Contribution of the DTU21MSS on Coastal Mean Dynamic Topography and Geostrophic Current Modeling: A Case Study in the African–European Region H. Shi et al. 10.3390/rs16244714
- CryoSat Long-Term Ocean Data Analysis and Validation: Final Words on GOP Baseline-C M. Naeije et al. 10.3390/rs15225420
- Global marine gravity gradient tensor inverted from altimetry-derived deflections of the vertical: CUGB2023GRAD R. Annan et al. 10.5194/essd-16-1167-2024
- NSOAS24: a new global marine gravity model derived from multi-satellite sea surface slopes S. Zhang et al. 10.5194/gmd-18-1221-2025
- Polar Ocean Tides—Revisited Using Cryosat-2 O. Andersen et al. 10.3390/rs15184479
17 citations as recorded by crossref.
- Improved Inland Water Level Estimates with Sentinel-6 Fully Focused SAR Processing: A Case Study in the Ebre River Basin X. Domingo et al. 10.3390/rs17030531
- Troposphere Sensing Using Grazing‐Angle GNSS‐R Measurement From LEO Satellites Y. Wang 10.1029/2023GL106249
- SDUST2023VGGA: a global ocean vertical gradient of gravity anomaly model determined from multidirectional data from mean sea surface R. Zhou et al. 10.5194/essd-17-817-2025
- A Novel Eötvös Correction Method Based on Passive Velocity Compensated INS C. Xiong et al. 10.1109/TIM.2024.3500078
- Altimeter Calibrations in the Preliminary Four Years’ Operation of Wanshan Calibration Site W. Zhai et al. 10.3390/rs16061087
- RSIT: A waveform retracking method based on reconstructed sea surface height and iterative threshold for coastal altimetry data Z. Tu et al. 10.1016/j.jag.2024.104346
- SDUST2020MGCR: a global marine gravity change rate model determined from multi-satellite altimeter data F. Zhu et al. 10.5194/essd-16-2281-2024
- ALBATROSS: Advancing Southern Ocean tide modelling with high resolution and enhanced bathymetry E. Le Merle et al. 10.1016/j.polar.2024.101124
- Modeling Marine Geoid in the China Seas and Its Adjacent Ocean Based on Satellite Altimeter-Derived Gravity Anomaly Model H. Zhang et al. 10.1109/ACCESS.2024.3501279
- Seafloor Topography Modeling by Fusing ICESat-2 Lidar, Echo Sounding, and Airborne and Altimetric Gravity Data From Spherical Radial Basis Functions Y. Wu et al. 10.1109/TGRS.2024.3523893
- Beyond Exact Repeat Missions: Embracing Geodetic Altimetry for Inland Water Monitoring and Modeling L. Jiang et al. 10.34133/remotesensing.0269
- SDUST2023GRA_MSS: the new global marine gravity anomaly model determined from mean sea surface model J. Guo et al. 10.1038/s41597-025-04394-1
- Chukchi Sea circulation and Bering Strait flow reversals from reprocessed satellite altimetry M. Pisareva et al. 10.1007/s10236-025-01672-9
- Evaluating the Signal Contribution of the DTU21MSS on Coastal Mean Dynamic Topography and Geostrophic Current Modeling: A Case Study in the African–European Region H. Shi et al. 10.3390/rs16244714
- CryoSat Long-Term Ocean Data Analysis and Validation: Final Words on GOP Baseline-C M. Naeije et al. 10.3390/rs15225420
- Global marine gravity gradient tensor inverted from altimetry-derived deflections of the vertical: CUGB2023GRAD R. Annan et al. 10.5194/essd-16-1167-2024
- NSOAS24: a new global marine gravity model derived from multi-satellite sea surface slopes S. Zhang et al. 10.5194/gmd-18-1221-2025
1 citations as recorded by crossref.
Latest update: 18 Apr 2025
Short summary
The mean sea surface (MSS) is an important reference for mapping sea-level changes across the global oceans. It is widely used by space agencies in the definition of sea-level anomalies as mapped by satellite altimetry from space. Here a new fully global high-resolution mean sea surface called DTU21MSS is presented, and a suite of evaluations are performed to demonstrate its performance.
The mean sea surface (MSS) is an important reference for mapping sea-level changes across the...
Altmetrics
Final-revised paper
Preprint