一个合成的欧洲天气数据集基于时空空间葡萄树
Judith N Claassen1, Elco E Koks2, Marleen C de Ruiter2
1Institute for Environmental Studies, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands. j.n.claassen@vu.nl.
Scientific data
|November 3, 2025
概括
一个新的欧洲天气数据集,MYRIAD-SIM,使用先进的统计模型模拟温度,降水和风速. 这些数据有助于研究复合气候事件,并探索超越历史记录的情景.
科学领域:
- 气候科学是气候科学.
- 环境建模环境建模
- 统计数据缩小规模的情况
背景情况:
- 随机天气发生器对于模拟超越历史记录的现实气候数据至关重要.
- 准确的天气数据对于农业和能源等行业至关重要,因为在这些行业中,多个变量相互作用.
- 现有的数据集可能无法完全捕捉复杂的时空和多变量依赖关系.
研究的目的:
- 引入一种新的欧洲模拟天气数据集,用于温度,降水和风速.
- 介绍MYRIAD-Stochastic vIne-copula模型 (MYRIAD-SIM) 用于生成此数据集.
- 为加强气候研究提供捕捉复杂天气依赖性的数据.
主要方法:
- 利用条件葡萄,一个统计工具,以建模时空和多变量依赖关系.
- 创建了一个新的欧洲温度,降水和风速数据集.
- 确保生成的数据在统计上类似于ERA5-Land,同时允许场景探索.
主要成果:
- MYRIAD-SIM数据集与ERA5-Land数据的统计特性非常相似.
- 该模型成功地捕获了复杂的时空和多变量天气模式.
- 模拟数据显示出足够的可变性,可以探索替代气候场景.
结论:
- MYRIAD-SIM为气候研究提供了宝贵的资源,特别是复合气候事件.
- 数据集模拟多变量天气条件的能力增强了对气候影响的研究.
- 这种方法有助于更深入地了解气候变化和潜在的未来情景.
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