Australian Ocean surface waves dataset from SAR

IF 3.3 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY
S. Khan, M. Hemer, E. Echevarria, E. King
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引用次数: 0

Abstract

In this article, a regional ocean surface waves dataset from Sentinel-1 A and B Synthetic Aperture Radar (SAR) satellites has been described. The ocean wave data have been extracted from the Sentinel-1 level-2 OCN (ocean) product as provided by the European Space Agency and downloadable for this region from the Copernicus Australasia regional data hub. The source OCN data have been produced by evolving versions of Sentinel-1 Instrument Processing Facility (IPF). The structure of the source OCN NetCDF files changes over time and presents a challenge in performing long duration, time series analyses, including the examination of potential inconsistencies in OCN wave data, due to employment of different IPF versions over the duration of the satellite missions. Here, the input OCN wave data have been homogenized to a single, easily usable standard format after applying a quality assurance and control procedure that removes various inconsistencies in variables, coordinates, dimensions and land flag, and through the addition of new auxiliary variables. The new format has the desirable properties of being compact in size, consistent in structure, and scalable in temporal and spatial coverage. It is also convenient to use and offers opportunities to perform fast, multi-year regional processing and analysis for calibration and validation studies and scientific applications. No re-processing of Sentinel-1 level-1 data has been carried out in this work.

Abstract Image

Abstract Image

来自合成孔径雷达的澳大利亚海洋表面波数据集
本文介绍了来自 Sentinel-1 A 和 B 合成孔径雷达 (SAR) 卫星的区域海洋表面波数据集。海洋波浪数据摘自欧洲空间局提供的哨兵-1 号 2 级 OCN(海洋)产品,该区域的数据可从哥白尼澳大拉西亚区域数据中心下载。源 OCN 数据由不断演进的哨兵-1 仪器处理设施(IPF)版本生成。源 OCN NetCDF 文件的结构会随着时间的推移而改变,这给进行长时间的时间序列分析带来了挑战,包括检查 OCN 波数据中潜在的不一致性,这是因为在卫星任务期间使用了不同版本的 IPF。在这里,输入的 OCN 波浪数据经过质量保证和控制程序,消除了变量、坐标、尺寸和地标中的各种不一致之处,并通过添加新的辅助变量,被统一为单一的、易于使用的标准格式。新格式具有体积小巧、结构一致、可扩展时空覆盖范围等理想特性。新格式使用方便,可为校准和验证研究以及科学应用提供快速、多年区域处理和分析的机会。这项工作没有对哨兵 1 号 1 级数据进行重新处理。
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来源期刊
Geoscience Data Journal
Geoscience Data Journal GEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES
CiteScore
5.90
自引率
9.40%
发文量
35
审稿时长
4 weeks
期刊介绍: Geoscience Data Journal provides an Open Access platform where scientific data can be formally published, in a way that includes scientific peer-review. Thus the dataset creator attains full credit for their efforts, while also improving the scientific record, providing version control for the community and allowing major datasets to be fully described, cited and discovered. An online-only journal, GDJ publishes short data papers cross-linked to – and citing – datasets that have been deposited in approved data centres and awarded DOIs. The journal will also accept articles on data services, and articles which support and inform data publishing best practices. Data is at the heart of science and scientific endeavour. The curation of data and the science associated with it is as important as ever in our understanding of the changing earth system and thereby enabling us to make future predictions. Geoscience Data Journal is working with recognised Data Centres across the globe to develop the future strategy for data publication, the recognition of the value of data and the communication and exploitation of data to the wider science and stakeholder communities.
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