The Surface Water and Ocean Topography Mission (SWOT) Prior Lake Database (PLD): Lake Mask and Operational Auxiliaries

IF 4.6 1区 地球科学 Q2 ENVIRONMENTAL SCIENCES
Jida Wang, Claire Pottier, Cécile Cazals, Marjorie Battude, Yongwei Sheng, Chunqiao Song, Md Safat Sikder, Xiao Yang, Linghong Ke, Manon Delhoume, Marielle Gosset, Rafael Reis Alencar Oliveira, Manuela Grippa, Félix Girard, George H. Allen, Xiangtao Xu, Xiaolin Zhu, Sylvain Biancamaria, Laurence C. Smith, Jean-François Crétaux, Tamlin M. Pavelsky
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引用次数: 0

Abstract

Lakes are among the most prevalent and predominant water repositories on the Earth's land surface. A primary objective of the Surface Water and Ocean Topography (SWOT) satellite mission is to monitor surface water elevation, area, and storage change in lakes globally. To meet this objective, prior information on lakes, such as locations and benchmark extents, is required to organize SWOT's KaRIn observations for computing lake storage variation over time. Here, we present the SWOT mission Prior Lake Database (PLD) to fulfill this requirement. This paper emphasizes the development of the “operational PLD,” which consists of (a) a high-resolution mask encompassing approximately 6 million lakes and reservoirs that meet the minimum size criterion of 1 ha, as defined in SWOT’s lake observation science goals, and (b) multiple operational auxiliaries that support the lake mask in generating SWOT's standard lake vector data products. We built the prior lake mask by harmonizing the UCLA Circa-2015 Global Lake Dataset and several state-of-the-art reservoir databases. Operational auxiliaries were produced from multi-theme geospatial data to provide essential information for PLD functionality, including lake catchments and influence areas, ice phenology, relationship with SWOT prior rivers, and spatiotemporal coverage by SWOT overpasses. Globally, over three quarters of the prior lakes are smaller than 10 ha. About 97% of the lakes, constituting half of the global lake area, are fully observed at least once per orbit cycle. The PLD will be recursively improved throughout the mission lifetime and serves as a critical framework for organizing, processing, and interpreting SWOT observations over lacustrine environments with fundamental significance to lake system science.
地表水和海洋地形任务(SWOT)优先湖泊数据库(PLD):湖泊掩码和操作辅助
湖泊是地球陆地表面上最普遍和最主要的储水库之一。地表水和海洋地形(SWOT)卫星任务的一个主要目标是监测全球湖泊的地表水海拔、面积和储存变化。为了实现这一目标,需要关于湖泊的先验信息,如位置和基准范围,来组织SWOT的KaRIn观测,以计算湖泊存储随时间的变化。在这里,我们提出SWOT任务先验湖数据库(PLD)来满足这一要求。本文强调了“可操作PLD”的开发,它包括(a)包含约600万个湖泊和水库的高分辨率掩模,满足SWOT湖泊观测科学目标中定义的1公顷的最小尺寸标准,以及(b)支持湖泊掩模生成SWOT标准湖泊矢量数据产品的多个操作辅助。我们通过协调UCLA Circa-2015全球湖泊数据集和几个最先进的水库数据库建立了先前的湖泊掩膜。从多主题地理空间数据中生成操作辅助数据,为PLD功能提供基本信息,包括湖泊集水区和影响区域、冰物候、与SWOT优先河流的关系,以及SWOT立交桥的时空覆盖。在全球范围内,超过四分之三的湖泊面积小于10公顷。大约97%的湖泊,占全球湖泊面积的一半,每轨道周期至少被完全观测一次。PLD将在整个任务周期内递归改进,并作为组织、处理和解释湖泊环境SWOT观测的关键框架,对湖泊系统科学具有重要意义。
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来源期刊
Water Resources Research
Water Resources Research 环境科学-湖沼学
CiteScore
8.80
自引率
13.00%
发文量
599
审稿时长
3.5 months
期刊介绍: Water Resources Research (WRR) is an interdisciplinary journal that focuses on hydrology and water resources. It publishes original research in the natural and social sciences of water. It emphasizes the role of water in the Earth system, including physical, chemical, biological, and ecological processes in water resources research and management, including social, policy, and public health implications. It encompasses observational, experimental, theoretical, analytical, numerical, and data-driven approaches that advance the science of water and its management. Submissions are evaluated for their novelty, accuracy, significance, and broader implications of the findings.
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