Global Atmospheric Rivers catalog for ERA5 reanalysis
收藏Mendeley Data2023-04-29 更新2024-06-27 收录
下载链接:
https://doi.pangaea.de/10.1594/PANGAEA.957161
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资源简介:
The dataset contains hourly detected Atmospheric Rivers (ARs) for ERA5 reanalysis (1979 – 2021). For the detection of ARs, the global detection algorithm introduced by Guan and Waliser (2015) (first version v1), and refined by Guan et al. (2018) (second version v2) is applied. The algorithm considers different requirements: the intensity of integrated water vapor transport IVT, direction, and geometry (described in detail by Guan and Waliser (2015), Guan et al. (2018), and Lauer et al. (2023)). (1) IVT intensity: The IVT must exceed the 85th percentile of IVT for each grid cell and the lower limit of 100 kg m⁻¹ s⁻¹. (2) IVT direction: The IVT direction at individual grid cells have to be coherent, and the direction of object-mean IVT has to be within 45° of the AR shape orientation, with an appreciable poleward component. (3) Geometry: The length has to be larger than 2000 km, and the length-to-width ratio should be higher than two. In case an object exceeds the IVT percentile, but (2) and (3) are not fulfilled, the process is repeated for higher IVT thresholds (up to the 95th percentile with 2.5 steps). Thus, an object surrounded by an increased moisture content can be detected as an AR.
To apply the detection algorithm, the input variables - zonal and meridional components of the IVT (IVTx and IVTy) and the IVT percentiles - are first calculated using ERA5 reanalysis. When these variables have been inserted and the algorithm has been applied, an nc-file is output. This nc-file includes the AR shape, axis, geometric characteristics such as length and width, the coordinates of the AR's head, tail, and centroid, mean of zonal and meridional IVT, the direction of mean IVT, and the landfall location (if the AR made landfall).
创建时间:
2023-04-29
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集提供了1979年至2021年基于ERA5再分析数据的全球大气河流每小时检测目录,使用改进的算法综合水汽输送强度、方向和几何形状进行识别。数据集包含大气河流的详细几何特征、坐标和输送参数,适用于气候研究和大气河流影响分析,由德国研究基金会资助并遵循开放获取许可。
以上内容由遇见数据集搜集并总结生成



