基于蒙特卡洛方法的印尼典型气象年风向数据集
I Wayan Andi Yuda1,2, Hideyo Nimiya1, Tetsu Kubota3
1Graduate School of Science and Engineering, Kagoshima University, 1-21-40 Korimoto, Kagoshima, 890-0065, Japan.
Data in brief
|October 23, 2025
概括
这项研究为印度尼西亚提供了关键的风向数据.
科学领域:
- 气象学 天气学
- 气候学 气候学 气候学
- 环境科学 环境科学
背景情况:
- 准确的气象数据对于气候响应式建筑设计至关重要.
- 之前的工作为印尼建立了典型的气象年 (TMY) 数据.
- 风向数据被确定为全面的TMY的关键缺失组件.
研究的目的:
- 为印度尼西亚的TMY.开发一套补充风向数据集.
- 增强现有的TMY数据的实用性,用于建筑性能模拟.
- 支持印度尼西亚开发节能和气候适应的建筑设计.
主要方法:
- 利用来自印度尼西亚106个气象站 (2011-2020) 的每小时风向观测数据.
- 采用了非数据化的ERA5再分析数据来填补缺少的风速值.
- 应用蒙特卡洛模拟来完成缺少的风向数据.
- 按照既定方法构建最终的TMY风向数据.
主要成果:
- 已经生成了印度尼西亚TMY每小时风向的综合数据集.
- 该数据集整合了10年的观测数据 (2011-2020年).
- 通过严格的空白填补和模拟技术来确保数据质量.
结论:
- 新的风向数据集显著增强了印度尼西亚的TMY.
- 这个资源将促进更准确的建筑性能模拟.
- 它支持印度尼西亚各地可持续和气候适应性建筑设计的进步.
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