SWOT在静态海洋地形观测中的性能评价

IF 4.6 1区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Geophysical Research Letters Pub Date : 2025-02-21 DOI:10.1029/2024GL112290
Bjarke Nilsson, Ole Baltazar Andersen, Per Knudsen
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引用次数: 0

摘要

海洋大地测量参考资料,如平均海面(MSS),目前受到传统卫星高度计空间分辨率的限制。我们分析了来自地表水和海洋地形(SWOT)卫星的新条高数据,以确定SWOT在绘制静态海洋地形方面的性能,以及在未来参考模型中包含的可能好处。通过确定SWOT在快速采样阶段对海洋表面静态特征的观察程度,我们确定了任务在科学阶段的预期性能。与Sentinel-3相比,我们观察到静态表面的可变性降低了50%,同时与目前最先进的Hybrid23 MSS参考模型相比,可以分辨出36%的短波长(低至8公里)。与Sentinel-3的比较表明,SWOT将有利于当前的高度计记录。
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Assessment of the Performance of SWOT for Observing the Static Ocean Topography

Marine geodetic references, such as the mean sea surface (MSS), are currently limited by the spatial resolution of conventional satellite altimeters. We analyze the new swath-altimetry data from the Surface Water and Ocean Topography (SWOT) satellite, to determine the performance of SWOT for mapping the static ocean topography, and possible benefit of inclusion in future reference models. By determining how well SWOT observes the static features in the ocean surface during SWOTs fast-sampling phase, we have determined the expected performance during the science phase of the mission. We observe a 50% reduction in variability of the static surface compared with Sentinel-3, whilst resolving up to 36% shorter wavelengths (down to ${\sim} $ 8 km) compared to the current state-of-the-art Hybrid23 MSS reference model. Comparisons with Sentinel-3 show that SWOT will benefit the current altimetry record.

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来源期刊
Geophysical Research Letters
Geophysical Research Letters 地学-地球科学综合
CiteScore
9.00
自引率
9.60%
发文量
1588
审稿时长
2.2 months
期刊介绍: Geophysical Research Letters (GRL) publishes high-impact, innovative, and timely research on major scientific advances in all the major geoscience disciplines. Papers are communications-length articles and should have broad and immediate implications in their discipline or across the geosciences. GRLmaintains the fastest turn-around of all high-impact publications in the geosciences and works closely with authors to ensure broad visibility of top papers.
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