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来自海洋模型的近地欧勒尔场和拉格朗日轨迹的综合数据集
Shane Elipot1, Eli Faigle2, Brian K Arbic3
1Rosenstiel School of Marine, Atmospheric, and Earth Science, University of Miami, Miami, FL 33149, USA. selipot@miami.edu.
Scientific data
|August 29, 2024
概括
这项研究发布了模拟海洋速度和海面高度变化的全面数据集,整合了欧勒尔和拉格朗的观点,以加强海洋学研究和数据可访问性.
科学领域:
- 海洋学 海洋学 海洋学
- 计算流体动力学的流体动力学.
- 数据科学数据科学数据科学
背景情况:
- 海洋学数据对于了解海洋动态至关重要.
- 在海洋建模中将欧勒尔和拉格朗的观点结合起来,带来了挑战.
- 对于先进的研究,需要可访问的,高分辨率的数据集.
研究的目的:
- 提供模拟的海洋速度和海面高度的统一数据集.
- 整合欧勒尔和拉格朗的数据表示,以便进行全面的分析.
- 为了促进不受限制地访问高准确度的海洋模拟数据.
主要方法:
- 使用混合坐标海洋模型 (HYCOM) 的数值模拟.
- 产生欧勒尔数据:每小时的速度组件和海面高度变化在0米和15米深处.
- 拉格朗基数据的生成:来自0m和15m深度的11次释放的60天粒子轨迹.
主要成果:
- 一个云优化的数据集每小时的海洋速度和海面高度变化 (欧勒尔).
- 一组60天粒子轨迹的数据集,模拟模型的速度场 (拉格兰吉) 中的偏向.
- 数据在云平台上可用,无限制访问.
结论:
- 综合数据集使得欧勒尔和拉格朗的观测观点之间有了新的联系.
- 该资源支持海洋动力学和建模方面的先进研究.
- 通过云优化,可访问的档案,促进更广泛的科学使用.
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