Articles | Volume 13, issue 2
https://doi.org/10.5194/tc-13-611-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-13-611-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
20 Feb 2019
Research article |
| 20 Feb 2019
| 20 Feb 2019
Dynamic ocean topography of the northern Nordic seas: a comparison between satellite altimetry and ocean modeling
Felix L. Müller
CORRESPONDING AUTHOR
Deutsches Geodätisches Forschungsinstitut, Technische Universität München, Arcisstraße 21, 80333 Munich, Germany
Claudia Wekerle
Climate Dynamics, Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bussestraße 24, 27570 Bremerhaven, Germany
Denise Dettmering
Deutsches Geodätisches Forschungsinstitut, Technische Universität München, Arcisstraße 21, 80333 Munich, Germany
Marcello Passaro
Deutsches Geodätisches Forschungsinstitut, Technische Universität München, Arcisstraße 21, 80333 Munich, Germany
Wolfgang Bosch
Deutsches Geodätisches Forschungsinstitut, Technische Universität München, Arcisstraße 21, 80333 Munich, Germany
Florian Seitz
Deutsches Geodätisches Forschungsinstitut, Technische Universität München, Arcisstraße 21, 80333 Munich, Germany
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Cited
14 citations as recorded by crossref.
- Simulated Signatures of Greenland Melting in the North Atlantic: A Model Comparison With Argo Floats, Satellite Observations, and Ocean Reanalysis S. Stolzenberger et al. 10.1029/2022JC018528
- Manifestation of Spiral Structures under the Action of Upper Ocean Currents O. Shomina et al. 10.3390/rs14081871
- Remote Sensing Systems for Ocean: A Review (Part 2: Active Systems) M. Amani et al. 10.1109/JSTARS.2022.3141980
- Mechanisms of interannual variability of deep convection in the Greenland sea I. Bashmachnikov et al. 10.1016/j.dsr.2021.103557
- Low-frequency sea level variability and impact of recent sea ice decline on the sea level trend in the Arctic Ocean from a high-resolution simulation K. Xiao et al. 10.1007/s10236-020-01373-5
- Impact of assimilation of absolute dynamic topography on Arctic Ocean circulation G. Smith et al. 10.3389/fmars.2024.1390781
- Developing aeolian sand spectral index using multispectral imagery and machine learning models: A representative case study in Iraq A. Al-Sulttani et al. 10.1016/j.jaridenv.2025.105382
- Impact of Satellite Attitude on Altimetry Calibration with Microwave Transponders C. Kokolakis et al. 10.3390/rs14246369
- Geostrophic currents in the northern Nordic Seas from a combination of multi-mission satellite altimetry and ocean modeling F. Müller et al. 10.5194/essd-11-1765-2019
- Iterative data assimilation approach for the refinement of marine geoid models using sea surface height and dynamic topography datasets S. Varbla & A. Ellmann 10.1007/s00190-023-01711-7
- Eddies in the North Greenland Sea and Fram Strait From Satellite Altimetry, SAR and High‐Resolution Model Data I. Bashmachnikov et al. 10.1029/2019JC015832
- Sea-level fingerprints emergent from GRACE mission data S. Adhikari et al. 10.5194/essd-11-629-2019
- Sea surface height anomaly and geostrophic current velocity from altimetry measurements over the Arctic Ocean (2011–2020) F. Doglioni et al. 10.5194/essd-15-225-2023
- Intensification of the Atlantic Water Supply to the Arctic Ocean Through Fram Strait Induced by Arctic Sea Ice Decline Q. Wang et al. 10.1029/2019GL086682
14 citations as recorded by crossref.
- Simulated Signatures of Greenland Melting in the North Atlantic: A Model Comparison With Argo Floats, Satellite Observations, and Ocean Reanalysis S. Stolzenberger et al. 10.1029/2022JC018528
- Manifestation of Spiral Structures under the Action of Upper Ocean Currents O. Shomina et al. 10.3390/rs14081871
- Remote Sensing Systems for Ocean: A Review (Part 2: Active Systems) M. Amani et al. 10.1109/JSTARS.2022.3141980
- Mechanisms of interannual variability of deep convection in the Greenland sea I. Bashmachnikov et al. 10.1016/j.dsr.2021.103557
- Low-frequency sea level variability and impact of recent sea ice decline on the sea level trend in the Arctic Ocean from a high-resolution simulation K. Xiao et al. 10.1007/s10236-020-01373-5
- Impact of assimilation of absolute dynamic topography on Arctic Ocean circulation G. Smith et al. 10.3389/fmars.2024.1390781
- Developing aeolian sand spectral index using multispectral imagery and machine learning models: A representative case study in Iraq A. Al-Sulttani et al. 10.1016/j.jaridenv.2025.105382
- Impact of Satellite Attitude on Altimetry Calibration with Microwave Transponders C. Kokolakis et al. 10.3390/rs14246369
- Geostrophic currents in the northern Nordic Seas from a combination of multi-mission satellite altimetry and ocean modeling F. Müller et al. 10.5194/essd-11-1765-2019
- Iterative data assimilation approach for the refinement of marine geoid models using sea surface height and dynamic topography datasets S. Varbla & A. Ellmann 10.1007/s00190-023-01711-7
- Eddies in the North Greenland Sea and Fram Strait From Satellite Altimetry, SAR and High‐Resolution Model Data I. Bashmachnikov et al. 10.1029/2019JC015832
- Sea-level fingerprints emergent from GRACE mission data S. Adhikari et al. 10.5194/essd-11-629-2019
- Sea surface height anomaly and geostrophic current velocity from altimetry measurements over the Arctic Ocean (2011–2020) F. Doglioni et al. 10.5194/essd-15-225-2023
- Intensification of the Atlantic Water Supply to the Arctic Ocean Through Fram Strait Induced by Arctic Sea Ice Decline Q. Wang et al. 10.1029/2019GL086682
Latest update: 18 Jun 2025
Short summary
Knowledge of the dynamic ocean topography (DOT) enables studying changes of ocean surface currents. The DOT can be derived by satellite altimetry measurements or by models. However, in polar regions, altimetry-derived sea surface heights are affected by sea ice. Model representations are consistent but impacted by the underlying functional backgrounds and forcing models. The present study compares results from both data sources in order to investigate the potential for a combination of the two.
Knowledge of the dynamic ocean topography (DOT) enables studying changes of ocean surface...
