Optimized processing of SWOT fast-sampling data for marine gravity recovery: lessons for the 21-day science phase

IF 11.1 1区 地球科学 Q1 ENVIRONMENTAL SCIENCES
Daocheng Yu , Cheinway Hwang
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引用次数: 0

Abstract

The new Surface Water and Ocean Topography (SWOT) altimeter mission, launched on December 16, 2022, marked a significant leap in ocean topography measurement by transitioning from traditional nadir-looking altimetry to wide-swath interferometric radar altimetry. During its 3-month fast-sampling phase from March 29 to July 9, 2023, SWOT operated on a 1-day repeat orbit focused on calibration and validation. Currently, SWOT is operating in its science phase on a 21-day repeat orbit. This study uses the Version C Level 2 Ka-band Radar Interferometer data in the South China Sea, collected during the SWOT fast-sampling phase, to validate SWOT’s performance in recovering marine gravity fields. The 95 cycles of fast-sampling phase data are equivalent to about 5.5 years of data from the science phase, offering sufficient repeat data to evaluate the potential of SWOT for deriving long-term, stacked marine gravity fields. We outline optimal processing strategies for refining SWOT sea surface heights (SSHs) to derive marine gravity anomalies. These strategies include rejecting outliers, mitigating ocean variability by removing sea level anomaly, correcting tilts across the entire SWOT swath segment using a three-dimensional plane, and averaging geoid gradients to reduce random errors. This study introduces a new method, the least-squares adjustment (LSA), for estimating the north and east components of the geoid gradient from SWOT SSH data. The gravity anomalies derived from the gradient components determined using the LSA method show comparable accuracy to those using least-squares collocation (LSC), with values of 2.32 mgal versus 2.28 mgal, respectively. Moreover, the LSA method is more computationally efficient than LSC. SWOT demonstrates the capability to derive north and east gradient components and marine gravity fields at finer scales compared to conventional altimeters, particularly over rough seafloor areas where SWOT can observe high-wavenumber SSHs. SWOT reveals continental shelf margins more clearly than conventional altimeters. Marine gravity anomalies from 3 months of SWOT data have an accuracy of 2.28 mGal, which is 12% better than the accuracy achieved with 14 years of data from conventional nadir altimeters. The gravity recovery procedures developed using SWOT fast-sampling phase data can be extended to derive optimal local and global marine gravity fields during the mission’s science phase.
海洋重力恢复SWOT快速采样数据的优化处理:21天科学阶段的经验教训
新的地表水和海洋地形(SWOT)高度计任务于2022年12月16日启动,标志着海洋地形测量的重大飞跃,从传统的最低点测高过渡到宽波段干涉雷达测高。在2023年3月29日至7月9日为期3个月的快速采样阶段,SWOT在为期1天的重复轨道上运行,重点是校准和验证。目前,SWOT处于科学阶段,在21天的重复轨道上运行。本研究利用SWOT快速采样阶段在南海采集的C版2级ka波段雷达干涉仪数据,验证SWOT在海洋重力场恢复中的效果。95个周期的快速采样阶段数据相当于5.5年的科学阶段数据,提供了足够的重复数据来评估SWOT的潜力,以获得长期叠加的海洋重力场。我们概述了提炼SWOT海面高度(SSHs)以得出海洋重力异常的最佳处理策略。这些策略包括拒绝异常值,通过消除海平面异常来减轻海洋可变性,使用三维平面校正整个SWOT条带段的倾斜,以及平均大地水准面梯度以减少随机误差。本文介绍了一种新的方法——最小二乘平差法(LSA),用于从SWOT SSH数据中估计大地水准面梯度的北分量和东分量。由LSA方法确定的梯度分量得到的重力异常与使用最小二乘配置(LSC)方法得到的重力异常的精度相当,分别为2.32 mgal和2.28 mgal。此外,LSA方法比LSC方法具有更高的计算效率。与传统高度计相比,SWOT展示了在更精细的尺度上获得北部和东部梯度分量和海洋重力场的能力,特别是在粗糙的海底区域,SWOT可以观察到高波数的ssh。SWOT比传统的高度计更清楚地显示大陆架边缘。3个月SWOT数据的海洋重力异常精度为2.28 mGal,比传统最低点高度计14年数据的精度高12%。利用SWOT快速采样阶段数据开发的重力恢复程序可以扩展到在任务科学阶段获得最佳的局部和全球海洋重力场。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Remote Sensing of Environment
Remote Sensing of Environment 环境科学-成像科学与照相技术
CiteScore
25.10
自引率
8.90%
发文量
455
审稿时长
53 days
期刊介绍: Remote Sensing of Environment (RSE) serves the Earth observation community by disseminating results on the theory, science, applications, and technology that contribute to advancing the field of remote sensing. With a thoroughly interdisciplinary approach, RSE encompasses terrestrial, oceanic, and atmospheric sensing. The journal emphasizes biophysical and quantitative approaches to remote sensing at local to global scales, covering a diverse range of applications and techniques. RSE serves as a vital platform for the exchange of knowledge and advancements in the dynamic field of remote sensing.
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