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印度次大陆 (1940-2024) 的每小时湿度预算组件数据集 (1940-2024)
Akash Singh Raghuvanshi1, Ankit Agarwal2
1Department of Hydrology, Indian Institute of Technology, Roorkee, 247667, India.
一个新的数据集,ERA5moistIN,为印度次大陆从1940年到2024年提供每小时大气湿度预算数据. 这种高分辨率数据集有助于研究季风动态和极端天气事件.
科学领域:
- 大气科学 大气科学
- 气候科学 气候科学
- 数据科学数据科学数据科学
背景情况:
- 了解大气湿度传输对于气候研究至关重要.
- 需要高分辨率的数据集来详细分析区域气候现象.
- 现有的再分析数据可能无法完全捕捉湿度预算的动态.
研究的目的:
- 构建和呈现一个全面的,高分辨率的网格数据集大气湿度预算组件在印度次大陆.
- 为分析湿度过程和支持该地区气候研究提供可靠的资源.
主要方法:
- 利用了从1940-2024年对印度次大陆和周边海洋的ERA5再分析数据.
- 使用中央有限差异方法和垂直集成计算了七个列集成的湿度预算组件.
- 验证了数据集与ERA5单级输出对物理一致性的验证.
主要成果:
- 开发了ERA5moistIN,一个具有0.25度空间和每小时时间分辨率的数据集.
- 该数据集包括关键的湿度预算术语,如储存变化,向导和收.
- 验证证实了数据集的物理一致性和可靠性.
结论:
- ERA5moistIN为大气湿度研究提供了有价值的高分辨率资源.
- 该数据集适用于季风分析,极端事件归因和模型评估.
- 诊断框架可以适应其他数据集和区域.
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