Assessment of Sentinel-6 SAR mode and reprocessed Jason-3 sea level measurements over global coastal oceans

IF 11.1 1区 地球科学 Q1 ENVIRONMENTAL SCIENCES Remote Sensing of Environment Pub Date : 2024-06-26 DOI:10.1016/j.rse.2024.114287
Fukai Peng , Xiaoli Deng , Yunzhong Shen
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Abstract

With dedicated coastal processing strategies and advanced Delay-Doppler technique, the quality of altimeter data from Low-Resolution Mode (LRM) and Synthetic Aperture Radar (SAR) mode altimeters in coastal areas have been greatly improved. In this study, we present a new 20-Hz along-track sea level anomaly (SLA) dataset of Jason-3 within 100 km to the global coastlines using the modified SCMR (Seamless Combination of Multiple Retrackers) processing strategy. The new reprocessed Jason-3 dataset, along with Sentinel-6 Michael Freilich (MF) SAR mode data, are evaluated and validated over global coastal oceans. The evaluation results show that the modified SCMR has significantly increases the data availability by 16%–67% for Jason-3 when compared to the official SGDR MLE4 dataset, especially in the last 5 km to the coast. The resultant data availability retains >90% beyond 5 km to the coast and 80% within 5 km to the coast, which is slightly higher (2%–10%) than that obtained by the Sentinel-6 MF. Most importantly, the modified SCMR mitigates the hump artifacts observed for the SLA spectrums of LRM altimeters, which makes the noise level of 20-Hz SLA estimates from Jason-3 (5.52 cm) comparable with that from Sentinel-6 MF (5.42 cm). This result demonstrates that the modified SCMR strategy would improve the LRM altimeters' capability of monitoring the mesoscale eddies. The evaluation results also show that the Sentinel-6 MF SAR mode data obtain higher data precision but lower data availability than reprocessed Jason-3 LRM data, especially in the 0–5 km coastal strip and mid-to-high latitude (>40°N or < 40°S) regions. Although the quality of altimeter data in the 0–5 km coastal strip has been significantly improved, the validation results against tide gauges demonstrate that the degraded performance still occurs when compared to the results beyond 5 km offshore. The significant discrepancy between tide gauge records and altimeter data is found in places such as sheltered bays and archipelagos where the land contamination is severe, and thus the development of dedicated coastal retrackers and corrections for SAR mode altimeters is still of great importance. Finally, the good consistency between reprocessed Jason-3 LRM and Sentinel-6 MF SAR mode altimeter datasets has been found by examining the inter-mission SLA biases (−0.12 ± 0.01 m).

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评估哨兵 6 号合成孔径雷达模式和经过再处理的 Jason-3 对全球沿岸海洋的海平面测量结果
通过专门的沿岸处理策略和先进的延迟多普勒技术,低分辨率模式(LRM)和合成孔径雷达 (SAR)模式测高仪在沿岸地区的测高数据质量得到了极大改善。在这项研究中,我们采用改进的 SCMR(无缝组合多个重跟踪器)处理策略,提出了新的 20Hz Jason-3 沿轨海平面异常(SLA)数据集,该数据集距离全球海岸线 100 公里以内。新的再处理 Jason-3 数据集和 Sentinel-6 Michael Freilich(MF)合成孔径雷达模式数据在全球沿岸海洋上空进行了评估和验证。评估结果表明,与官方的 SGDR MLE4 数据集相比,修改后的 SCMR 使 Jason-3 的数据可用性显著提高了 16%-67%,特别是在距海岸最后 5 公里处。因此,距海岸 5 公里以外的数据可用性保持在 90% 以上,距海岸 5 公里以内的数据可用性保持在 80%,比 Sentinel-6 MF 获得的数据可用性略高(2%-10%)。最重要的是,修改后的 SCMR 减少了在 LRM 高度计 SLA 频谱中观察到的驼峰伪影,这使得 Jason-3 的 20Hz SLA 估计值(5.52 厘米)的噪声水平与哨兵-6 MF 的噪声水平(5.42 厘米)相当。这一结果表明,修改后的 SCMR 策略将提高 LRM 高度计对中尺度涡的监测能力。评估结果还表明,与经过再处理的 Jason-3 LRM 数据相比,哨兵-6 MF SAR 模式数据的数据精度更高,但数据可用性更低,特别是在 0-5 公里沿岸带和中高纬度(>40°N 或 <40°S)区域。虽然 0-5 公里沿岸带的高度计数据质量有了明显改善,但与验潮仪对比的验证结果表明,与离岸 5 公里以外的结果相比,性能仍有下降。在避风海湾和群岛等陆地污染严重的地方,验潮仪记录和高度计数据之间的差异 很大,因此,为合成孔径雷达模式高度计开发专用的沿岸重跟踪器和校正器仍然非常重 要。最后,通过研究各次飞行任务之间的 SLA 偏差(-0.12 ± 0.01 米),发现经过后处理的 Jason-3 LRM 和 Sentinel-6 MF SAR 模式高度计数据集之间具有良好的一致性。
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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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