A strictly geostrophic product of sea-surface velocities from the SWOT fast-sampling phase
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arXiv
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| Main Authors: | , , , , , , |
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| Format: | Preprint |
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2026
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| _version_ | 1866917223532068864 |
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| author | Uchida, Takaya Yadidya, Badarvada Bertrand, Vadim Chang, Jia-Xian Arbic, Brian Shriver, Jay Sommer, Julien Le |
| author_facet | Uchida, Takaya Yadidya, Badarvada Bertrand, Vadim Chang, Jia-Xian Arbic, Brian Shriver, Jay Sommer, Julien Le |
| contents | While geostrophy remains the simplest and most practical balance to extract velocity information from sea-surface height anomaly (SSHa), confusions remain within the oceanographic community to what extent this balance can be applied to altimetric observations with the launch of the Surface Water and Ocean Topography (SWOT) satellite. Given the limited temporal resolution of SWOT, many studies have resorted to claiming that the spatially filtered SSHa fields correspond to the geostrophic component. This introduces the ambiguity of which spatial scale to choose. Here, we build upon the recent developments in internal tide (IT) corrections (Yadidya et al., 2025) and apply a dynamic mode decomposition (DMD)-based method introduced by Lapo et al. (2025) to robustly extract the geostrophic component associated with sub-inertial frequencies from the SWOT one-day-repeat orbit; we distribute the global dataset as a public good. We provide the joint probability density function (PDF) of vorticity and strain, and spectra of SSHa at a few cross-over regions. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2601_18182 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | A strictly geostrophic product of sea-surface velocities from the SWOT fast-sampling phase Uchida, Takaya Yadidya, Badarvada Bertrand, Vadim Chang, Jia-Xian Arbic, Brian Shriver, Jay Sommer, Julien Le Atmospheric and Oceanic Physics Data Analysis, Statistics and Probability While geostrophy remains the simplest and most practical balance to extract velocity information from sea-surface height anomaly (SSHa), confusions remain within the oceanographic community to what extent this balance can be applied to altimetric observations with the launch of the Surface Water and Ocean Topography (SWOT) satellite. Given the limited temporal resolution of SWOT, many studies have resorted to claiming that the spatially filtered SSHa fields correspond to the geostrophic component. This introduces the ambiguity of which spatial scale to choose. Here, we build upon the recent developments in internal tide (IT) corrections (Yadidya et al., 2025) and apply a dynamic mode decomposition (DMD)-based method introduced by Lapo et al. (2025) to robustly extract the geostrophic component associated with sub-inertial frequencies from the SWOT one-day-repeat orbit; we distribute the global dataset as a public good. We provide the joint probability density function (PDF) of vorticity and strain, and spectra of SSHa at a few cross-over regions. |
| title | A strictly geostrophic product of sea-surface velocities from the SWOT fast-sampling phase |
| topic | Atmospheric and Oceanic Physics Data Analysis, Statistics and Probability |
| url | https://arxiv.org/abs/2601.18182 |