An Analytical Method for Dynamic Wave-Related Errors of Interferometric SAR Ocean Altimetry under Multiple Sea States
The spaceborne interferometric synthetic aperture radar (InSAR) is expected to measure the sea surface height (SSH) with high accuracy over a wide swath. Since centimeter-level accuracy is required to monitor the ocean sub-mesoscale dynamics, the high accuracy implies that the altimetric errors shou...
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MDPI AG
2021-03-01
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author | Yao Chen Mo Huang Yuanyuan Zhang Changyuan Wang Tao Duan |
author_facet | Yao Chen Mo Huang Yuanyuan Zhang Changyuan Wang Tao Duan |
author_sort | Yao Chen |
collection | DOAJ |
description | The spaceborne interferometric synthetic aperture radar (InSAR) is expected to measure the sea surface height (SSH) with high accuracy over a wide swath. Since centimeter-level accuracy is required to monitor the ocean sub-mesoscale dynamics, the high accuracy implies that the altimetric errors should be totally understood and strictly controlled. However, for the dynamic waves, they move randomly all the time, and this will lead to significant altimetric errors. This study proposes an analytical method for the dynamic wave-related errors of InSAR SSH measurement based on the wave spectrum and electromagnetic scattering model. Additionally, the mechanisms of the dynamic wave-related errors of InSAR altimetry are analyzed, and the detailed numerical model is derived. The proposed analytical method is validated with NASA’s Surface Water and Ocean Topography (SWOT) project error budget, and the Root-Mean-Square Errors (RMSEs) are in good agreement (0.2486 and 0.2470 cm on a 0.5 km<sup>2</sup> grid, respectively). Instead of analysis for a typical project, the proposed method can be applied to different radar parameters under multiple sea states. The RMSEs of Ka-band under low sea state, moderate sea state, and high sea state are 0.2670, 1.3154, and 6.6361 cm, respectively. Moreover, the RMSEs of X-band and Ku-band are also simulated and presented. The experimental results demonstrate that the dynamic wave-related errors of InSAR altimetry are not sensitive to the frequencies but are sensitive to the sea states. The error compensation method is necessary for moderate and higher sea states for centimetric accuracy requirements. This can provide feasible suggestions on system design and error budget for the future interferometric wide-swath altimeter. |
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spelling | doaj.art-85857c8a2bdf4b3a8df187189800df142023-12-03T12:39:16ZengMDPI AGRemote Sensing2072-42922021-03-0113598610.3390/rs13050986An Analytical Method for Dynamic Wave-Related Errors of Interferometric SAR Ocean Altimetry under Multiple Sea StatesYao Chen0Mo Huang1Yuanyuan Zhang2Changyuan Wang3Tao Duan4Institute of Microelectronics, Chinese Academy of Sciences, Beijing 100029, ChinaInstitute of Microelectronics, Chinese Academy of Sciences, Beijing 100029, ChinaInstitute of Microelectronics, Chinese Academy of Sciences, Beijing 100029, ChinaInstitute of Microelectronics, Chinese Academy of Sciences, Beijing 100029, ChinaInstitute of Microelectronics, Chinese Academy of Sciences, Beijing 100029, ChinaThe spaceborne interferometric synthetic aperture radar (InSAR) is expected to measure the sea surface height (SSH) with high accuracy over a wide swath. Since centimeter-level accuracy is required to monitor the ocean sub-mesoscale dynamics, the high accuracy implies that the altimetric errors should be totally understood and strictly controlled. However, for the dynamic waves, they move randomly all the time, and this will lead to significant altimetric errors. This study proposes an analytical method for the dynamic wave-related errors of InSAR SSH measurement based on the wave spectrum and electromagnetic scattering model. Additionally, the mechanisms of the dynamic wave-related errors of InSAR altimetry are analyzed, and the detailed numerical model is derived. The proposed analytical method is validated with NASA’s Surface Water and Ocean Topography (SWOT) project error budget, and the Root-Mean-Square Errors (RMSEs) are in good agreement (0.2486 and 0.2470 cm on a 0.5 km<sup>2</sup> grid, respectively). Instead of analysis for a typical project, the proposed method can be applied to different radar parameters under multiple sea states. The RMSEs of Ka-band under low sea state, moderate sea state, and high sea state are 0.2670, 1.3154, and 6.6361 cm, respectively. Moreover, the RMSEs of X-band and Ku-band are also simulated and presented. The experimental results demonstrate that the dynamic wave-related errors of InSAR altimetry are not sensitive to the frequencies but are sensitive to the sea states. The error compensation method is necessary for moderate and higher sea states for centimetric accuracy requirements. This can provide feasible suggestions on system design and error budget for the future interferometric wide-swath altimeter.https://www.mdpi.com/2072-4292/13/5/986InSAR altimetrysea surface height (SSH)dynamic waveserror analysissea states |
spellingShingle | Yao Chen Mo Huang Yuanyuan Zhang Changyuan Wang Tao Duan An Analytical Method for Dynamic Wave-Related Errors of Interferometric SAR Ocean Altimetry under Multiple Sea States Remote Sensing InSAR altimetry sea surface height (SSH) dynamic waves error analysis sea states |
title | An Analytical Method for Dynamic Wave-Related Errors of Interferometric SAR Ocean Altimetry under Multiple Sea States |
title_full | An Analytical Method for Dynamic Wave-Related Errors of Interferometric SAR Ocean Altimetry under Multiple Sea States |
title_fullStr | An Analytical Method for Dynamic Wave-Related Errors of Interferometric SAR Ocean Altimetry under Multiple Sea States |
title_full_unstemmed | An Analytical Method for Dynamic Wave-Related Errors of Interferometric SAR Ocean Altimetry under Multiple Sea States |
title_short | An Analytical Method for Dynamic Wave-Related Errors of Interferometric SAR Ocean Altimetry under Multiple Sea States |
title_sort | analytical method for dynamic wave related errors of interferometric sar ocean altimetry under multiple sea states |
topic | InSAR altimetry sea surface height (SSH) dynamic waves error analysis sea states |
url | https://www.mdpi.com/2072-4292/13/5/986 |
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