Ocean Modeling and Observation Laboratory, School of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing, China.
Southern Laboratory of Ocean Science and Engineering (Guangdong Zhuhai), Zhuhai, China.
Sci Data. 2022 Jul 22;9(1):436. doi: 10.1038/s41597-022-01550-9.
Amongst the variety of oceanic processes running the gamut of spatiotemporal scales, mesoscale eddies are the most common and often have region-specific characteristics. The large kinetic energy inherent to eddies themselves is a strong modulator of the global climate, ocean circulation, productivity, and freshwater transport. This study uses multi-source satellite remote sensing observation data to construct a multi-parameter eddy dataset for the 1993-2019 period, which differs significantly from a few of previous published eddy datasets that include only basic sea surface eddy physical features. Eddies within the dataset have life cycles of greater than four weeks, and their corresponding sea surface chlorophyll, sea surface temperature, and wind fields are provided. Atmospheric and oceanic variables are used to present a comprehensive picture of a given mesoscale eddy's impact on the local physical, but also biological environment. The dataset would find immense value in research on mesoscale eddies, their impact on the atmosphere, and related biological processes.
在各种海洋过程中,中尺度涡旋是最常见的,并且通常具有特定区域的特征。涡旋本身所具有的大量动能是全球气候、海洋环流、生产力和淡水输送的强大调制器。本研究使用多源卫星遥感观测数据,构建了一个 1993-2019 年期间的多参数涡旋数据集,与之前发表的一些仅包含基本海面涡旋物理特征的涡旋数据集有很大的不同。数据集中的涡旋具有大于四周的生命周期,并且提供了相应的海面叶绿素、海面温度和风场。大气和海洋变量用于展示给定中尺度涡旋对当地物理环境的综合影响,同时也包括生物环境。该数据集将在中尺度涡旋及其对大气的影响和相关生物过程的研究中具有重要价值。