遇见数据集

Globally distributed lake surface water temperatures collected in situ and by satellites; 1985-2009

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DataONE2022-11-15 更新2024-06-08 收录
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Global environmental change has influenced lake surface temperatures, a key driver of ecosystem structure and function. Recent studies have suggested significant warming of water temperatures in individual lakes across many different regions around the world. However, the spatial and temporal coherence associated with the magnitude of these trends remains unclear. Thus, a global dataset of water temperature is required to understand and synthesize global, long-term trends in surface water temperatures of inland bodies of water. We assembled a database of summer lake surface temperatures for 291 lakes collected in situ and/or by satellites for the period 1985-2009. In addition, corresponding climatic drivers (air temperatures, solar radiation, and cloud cover) and geomorphometric characteristics (latitude, longitude, elevation, lake surface area, maximum depth, mean depth, and volume) that influence lake surface temperatures were compiled for each lake. This unique dataset offers an invaluable baseline perspective on global-scale lake thermal conditions as environmental change continues. This dataset accompanies a data publication in the journal Scientific Data

全球环境变化已对湖泊表面水温产生影响,而后者是驱动生态系统结构与功能的关键因子。近期研究显示,全球诸多不同区域的单个湖泊水体温度均出现显著增温。然而,此类水温变化趋势的幅度在时空维度上的一致性仍尚不明确。因此,亟需构建全球水体温度数据集,以助力解析并综合研判内陆水体表面水温的全球长期变化趋势。本研究整合了1985至2009年间,通过原位(in situ)观测及/或卫星遥感获取的291个湖泊的夏季表面水温数据集。此外,本研究还为每个湖泊收集了影响其表面水温的相关气候驱动因子(气温、太阳辐射与云量),以及地貌特征参数(纬度、经度、海拔、湖泊表面积、最大水深、平均水深与蓄水量)。随着全球环境变化持续演进,这套独具特色的数据集为全球尺度的湖泊热状况提供了极为宝贵的基准视角。本数据集配套发表于《Scientific Data》期刊的一篇数据论文。

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2022-11-15
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