School of the Environment, Washington State University, Pullman, Washington, 99164, USA.
Center for Environmental Research, Education, and Outreach, Washington State University, Pullman, Washington, 99164, USA.
Sci Data. 2020 Jun 11;7(1):174. doi: 10.1038/s41597-020-0517-4.
An increasing population in conjunction with a changing climate necessitates a detailed understanding of water abundance at multiple spatial and temporal scales. Remote sensing has provided massive data volumes to track fluctuations in water quantity, yet contextualizing water abundance with other local, regional, and global trends remains challenging by often requiring large computational resources to combine multiple data sources into analytically-friendly formats. To bridge this gap and facilitate future freshwater research opportunities, we harmonized existing global datasets to create the Global Lake area, Climate, and Population (GLCP) dataset. The GLCP is a compilation of lake surface area for 1.42 + million lakes and reservoirs of at least 10 ha in size from 1995 to 2015 with co-located basin-level temperature, precipitation, and population data. The GLCP was created with FAIR (findable, accessible, interoperable, reusable) data principles in mind and retains unique identifiers from parent datasets to expedite interoperability. The GLCP offers critical data for basic and applied investigations of lake surface area and water quantity at local, regional, and global scales.
随着人口的增长和气候变化的出现，我们需要深入了解不同时空尺度下水体的丰度情况。遥感技术为我们提供了大量的数据，以跟踪水体数量的波动情况。然而，要将水体丰度与其他本地、区域和全球趋势联系起来，仍然具有挑战性，因为通常需要大量的计算资源来将多个数据源整合到分析友好的格式中。为了弥合这一差距，促进未来的淡水研究机会，我们对现有的全球数据集进行了协调，创建了全球湖泊面积、气候和人口（GLCP）数据集。该数据集包含了 1995 年至 2015 年间至少 10 公顷的 142 万多个湖泊和水库的湖表面积，以及同时采集的流域层面的温度、降水和人口数据。该数据集的创建遵循了 FAIR（可发现、可访问、可互操作、可重用）数据原则，并保留了来自父数据集的唯一标识符，以加快互操作性。GLCP 为在本地、区域和全球尺度上对湖泊面积和水体数量进行基础和应用研究提供了重要数据。
