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Improving precision of high-rate altimeter sea level anomalies by removing the sea state bias and intra-1-Hz covariant error
Remote Sensing of Environment ( IF 13.5 ) Pub Date : 2020-12-01 , DOI: 10.1016/j.rse.2020.112081
Fukai Peng , Xiaoli Deng

Abstract This paper assessed the precision of 20-Hz sea level anomaly (SLA) estimates with different sea state bias (SSB) corrections from reprocessed Jason-1/2/3 and Sentinel-3A data over the period of 2002–2019 within 100 km from the entire Australian coast. The altimeter waveforms were retracked by the modified Brown-peaky (MBP) retracker for Jason missions and by the SAMOSA+ retracker for Sentinel-3A. We recalculated the 20-Hz and composite SSB corrections using a regional parametric model from 20-Hz retracked estimates of the SLA, significant wave height (SWH) and wind speed. The composite SSB correction, which was recomputed after removing the retracker-dependant correlated error in 20-Hz SLA, is found to achieve better performance than other SSB corrections in the study area. Applying the 20-Hz and composite SSB corrections has reduced ~10% and ~13% of noise, respectively, in the MBP-retracked 20-Hz Jason SLA estimates, while only ~2% of noise reduction is shown by applying the 1-Hz standard SSB correction. It is also found that the improvement of retracked Sentinel-3A SLA estimates by SSB corrections is very low (~3%), indicating a dedicated SSB correction model should be developed for the SAR mode altimeter. As a result, the precision of composite SSB-corrected SLA estimates for all Jason missions can be retained at the level of 5.1 ± 1.1 cm until 3 km from the Australian coast, which is slightly lower than that of Sentinel-3A (4.2 ± 0.9 cm). The degradation within 3 km from the coast mainly corresponds to the along-track direction for MBP-retracked Jason SLA estimates, and the across-track direction for SAMOSA+ retracked Sentinel-3A SLA estimates, respectively.

中文翻译:

通过去除海况偏差和 1Hz 内协变误差提高高速高度计海平面异常的精度

摘要 本文通过重新处理的 Jason-1/2/3 和 Sentinel-3A 数据在 100 公里范围内评估了 20-Hz 海平面异常 (SLA) 估计和不同海况偏差 (SSB) 校正的精度。来自整个澳大利亚海岸。高度计波形由用于 Jason 任务的改进型 Brown-peaky (MBP) 重新跟踪器和用于 Sentinel-3A 的 SAMOSA+ 重新跟踪器重新跟踪。我们使用区域参数模型重新计算了 20-Hz 和复合 SSB 校正,该模型来自 20-Hz 重新跟踪的 SLA、显着波高 (SWH) 和风速。在去除 20-Hz SLA 中与重新跟踪器相关的相关误差后重新计算的复合 SSB 校正被发现比研究区域中的其他 SSB 校正获得更好的性能。在 MBP 重新跟踪的 20-Hz Jason SLA 估计中,应用 20-Hz 和复合 SSB 校正分别减少了约 10% 和约 13% 的噪声,而通过应用 1- Hz 标准 SSB 校正。还发现通过 SSB 校正对重新跟踪的 Sentinel-3A SLA 估计的改进非常低(~3%),表明应该为 SAR 模式高度计开发专用的 SSB 校正模型。因此,所有 Jason 任务的复合 SSB 校正 SLA 估计的精度可以保持在 5.1±1.1 cm 的水平,直到距澳大利亚海岸 3 公里,略低于 Sentinel-3A(4.2±0.9厘米)。距海岸 3 公里内的退化主要对应于 MBP 重跟踪 Jason SLA 估计的沿航迹方向,
更新日期:2020-12-01
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