The Significance of the Long‐Wavelength Correction for Studies of Baroclinic Tides With SWOT

Abstract The long‐wavelength correction (LWC) of SWOT data is intended to reduce errors related to the stability of the SWOT antenna and its attitude in orbit. The algorithms used to compute the LWC utilize SWOT KaRIn sea surface‐height (SSH) measurements and additional data, and the LWC may absorb geophysical SSH into the correction. Different LWC algorithms are used on the L2 and L3 SWOT products, which are analyzed here during the 1 day repeat (Cal/Val) mission phase lasting approximately 100 days. During this mission phase the SSH anomaly (SSHA) computed using the L3 LWC is much more realistic than the L2 LWC, as shown here by comparing spatial statistics of the L2 and L3 products. The L3 LWC algorithm is nonlinear insofar as it depends on second‐order statistics of the SSHA and multi‐satellite SSHA differences, making it difficult to quantify the extent to which it could absorb baroclinic tidal signals. To overcome this difficulty, a proxy L3 LWC algorithm is developed which mimics the L3 LWC but is strictly linear in the SSHA. The proxy LWC is applied to both idealized waveforms and to the predicted internal tide available on the products, and it is found to absorb 1% or less of the signal variance, leading to corresponding pointwise errors of 10% or less. Because the errors are at longer wavelengths and are significantly smaller amplitude than internal tide signals, the LWC impact on the measurement and interpretation of internal tides with SWOT is expected to be negligible in most applications.

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Publication Details

Journal
Earth and Space Science
Published
2024-10-01
DOI
https://doi.org/10.1029/2024ea003677
Citations
3
Primary Topic
Marine and coastal ecosystems
Type
article
Field-Weighted Citation Impact
1.44

Funders

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article

The Significance of the Long‐Wavelength Correction for Studies of Baroclinic Tides With SWOT

Edward D. Zaron
3 citations
Earth and Space Science
Marine and coastal ecosystems
1.44
article

The Significance of the Long‐Wavelength Correction for Studies of Baroclinic Tides With SWOT

Edward D. Zaron
article en
3 citations

Abstract

Abstract The long‐wavelength correction (LWC) of SWOT data is intended to reduce errors related to the stability of the SWOT antenna and its attitude in orbit. The algorithms used to compute the LWC utilize SWOT KaRIn sea surface‐height (SSH) measurements and additional data, and the LWC may absorb geophysical SSH into the correction. Different LWC algorithms are used on the L2 and L3 SWOT products, which are analyzed here during the 1 day repeat (Cal/Val) mission phase lasting approximately 100 days. During this mission phase the SSH anomaly (SSHA) computed using the L3 LWC is much more realistic than the L2 LWC, as shown here by comparing spatial statistics of the L2 and L3 products. The L3 LWC algorithm is nonlinear insofar as it depends on second‐order statistics of the SSHA and multi‐satellite SSHA differences, making it difficult to quantify the extent to which it could absorb baroclinic tidal signals. To overcome this difficulty, a proxy L3 LWC algorithm is developed which mimics the L3 LWC but is strictly linear in the SSHA. The proxy LWC is applied to both idealized waveforms and to the predicted internal tide available on the products, and it is found to absorb 1% or less of the signal variance, leading to corresponding pointwise errors of 10% or less. Because the errors are at longer wavelengths and are significantly smaller amplitude than internal tide signals, the LWC impact on the measurement and interpretation of internal tides with SWOT is expected to be negligible in most applications.

Earth and Space ScienceVol. 11(10)
Oregon State University (US)
National Aeronautics and Space Administration, Oregon State University, Nuclear Safety and Security Commission, Earth Sciences Division
Life below water
Openalex Percentile: Top 19%
Marine and coastal ecosystems
1.44
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The Significance of the Long‐Wavelength Correction for Studies of Baroclinic Tides With SWOT — Edward D. Zaron · Earth and Space Science (2024) | TGRS Research Map | TGRS