对海冰核心数据进行可重复使用的有针对性的丰富
Anna Simson1, Anil Yildiz2, Julia Kowalski3
1Methods for Model-based Development in Computational Engineering, RWTH Aachen University, Aachen, Germany. simson@mbd.rwth-aachen.de.
Scientific data
|March 21, 2025
概括
针对可重复使用的丰富海冰核心数据库 (RESICE) 提供了结合的海冰核心数据和元数据,用于模型验证和算法训练. 它解决了数据异质性的挑战,以改善科学再利用.
科学领域:
- 地球科学 地球科学 地球科学
- 气候科学 气候科学
- 海洋学 海洋学 海洋学
背景情况:
- 海冰核心数据对于了解气候动态至关重要.
- 现有的数据存储库往往在新研究中直接重复使用时存在挑战.
- 需要一个统一和丰富的数据库来促进先进的科学应用.
研究的目的:
- 引入针对可重复使用的丰富海冰核心数据库 (RESICE).
- 详细介绍各种海冰核心数据的组合和丰富方法.
- 为了使最终用户对数据可重复使用的观点正式化.
主要方法:
- 来自138个来源的综合数据和元数据,包括来自Zenodo,澳大利亚南极数据中心和潘盖亚的107个数据集.
- 专门为重复使用场景生成额外的元数据,例如模型验证和机器学习.
- 确保数据的可信性,一致性和可追溯到原始来源.
主要成果:
- 创建了RESICE,整合了287个海冰核的数据.
- 开发了一个解决数据异质性和重复使用挑战的框架.
- 通过Zenodo和MOSAiC webODV使RESICE可访问,并通过pyresice Python包进行扩展.
结论:
- RESICE提高了海冰核心数据的可重复使用性,用于各种科学应用.
- 尽管采用了FAIR原则,但跨源数据集成仍然很复杂.
- 数据库和相关工具促进了气候研究的透明和高效数据利用.
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