Coll-Hidalgo Patricia, Gimeno-Sotelo Luis, Fernández-Alvarez José Carlos, Nieto Raquel, Gimeno Luis
Centro de Investigación Mariña, Universidade de Vigo, Environmental Physics Laboratory (EPhysLab), Campus As Lagoas s/n, 32004, Ourense, Spain.
Galicia Supercomputing Center (CESGA), Santiago de Compostela, España.
Sci Data. 2024 Nov 20;11(1):1258. doi: 10.1038/s41597-024-04091-5.
Extratropical cyclones (ETCs) are the focus of many open questions, spanning from weather to climate and from local to global scales. The relationship between moisture uptake and precipitation over different mesoscale ETC structures remains poorly understood. The availability of moisture parameters to the scientific community through tracer dispersion models benefits the representation of the processes involving moisture, the dynamics of ETCs and the understanding of the associated meteorological fields. In this study, we present a database for North Atlantic ETC tracks and a Lagrangian-Derived Moisture Uptake Dataset, both of which are derived from dynamically downscaled ERA5 reanalysis data. We provide moisture parameters such as the total moisture uptake and its vertical distribution by layer, and shapefiles of ETC structures, to facilitate further studies in this area. Our data have been thoroughly validated to ensure that the storm tracks and their characteristics are accurately represented in the model without distortion. Additionally, we conduct a series of experiments to demonstrate the rigour and quality of the methods employed to generate the data.
温带气旋(ETCs)是许多悬而未决问题的焦点,涵盖从天气到气候以及从局部到全球尺度。不同中尺度温带气旋结构上的水汽吸收与降水之间的关系仍知之甚少。通过示踪剂扩散模型向科学界提供水汽参数,有助于呈现涉及水汽的过程、温带气旋的动力学以及对相关气象场的理解。在本研究中,我们展示了一个北大西洋温带气旋轨迹数据库和一个拉格朗日推导的水汽吸收数据集,两者均源自动态降尺度的ERA5再分析数据。我们提供了诸如总水汽吸收量及其按层的垂直分布等水汽参数,以及温带气旋结构的形状文件,以促进该领域的进一步研究。我们的数据已经过全面验证,以确保风暴轨迹及其特征在模型中得到准确呈现而无失真。此外,我们进行了一系列实验,以证明用于生成数据的方法的严谨性和质量。