高分辨率的动态缩小实验输出了印度洋西南部的里昂岛和毛里求斯岛的数据
Chao Tang1, Béatrice Morel1, Swati Singh1,2
1ENERGY-Lab, University of Reunion, 15 Avenue René Cassin CS 92003, 97744 Saint-Denis Cedex 9, Reunion, France.
Data in brief
|October 25, 2023
概括
面向里昂岛和毛里求斯的新一套高分辨率气候数据集为天气模式和可再生能源资源提供了有价值的见解. 这些开放访问数据有助于气候建模,并支持印度洋西南部的低碳未来.
科学领域:
- 气候科学 气候科学
- 气象学 天气学
- 可再生能源可再生能源是可再生能源.
背景情况:
- 高分辨率的气候数据对于了解区域天气模式和可再生能源潜力至关重要.
- 之前在印度洋西南部 (SWIO) 的气候建模工作缺乏必要的空间和时间细节,以适用于特定岛屿的应用.
研究的目的:
- 创建和发布一个长期的,高分辨率的气候和气象数据集,用于里昂岛和毛里求斯.
- 为SWIO地区提供支持气候建模,天气预报和气候变化研究的开放访问数据.
- 促进对间歇性气候相关能源资源的理解和实施.
主要方法:
- 利用天气研究和预测 (WRF) 模型进行缩小规模的模拟.
- 使用1公里空间分辨率与三个嵌套域,初始化与ERA5重新分析数据.
- 选择了超过60个输出变量,包括太阳辐射,风和降水,时间分辨率从每天到30分钟.
主要成果:
- 已经创建了一个10年 (可延长到30年) 的高分辨率数据集,涵盖里昂岛和毛里求斯岛.
- 该数据集包括间歇性能源资源和一般气象参数的关键变量.
- 数据可以通过具有智能下载算法的开放访问服务器访问.
结论:
- 这是关于这些热带岛屿的第一个开放式,长期,高分辨率的气候数据集.
- 该数据集将在SWIO中显著有利于气候建模,天气预报和气候变化影响评估方面的研究.
- 它将增强对可再生能源资源变化的理解,支持绿色能源转型.
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