来自GOES ABI的冰多边形和巴西的跟踪数据集
Caio Atila P Sena1, Renato G Negri1, Maria Lívia L M Gava1
1Satellite and Meteorological Sensors Division (DISSM), National Institute for Space Research, Rodovia Presidente Dutra, km 40, Cachoeira Paulista, 12630-000, SP, Brazil.
Data in brief
|August 5, 2024
概括
这项研究引入了与巴西冰事件相关的对流系统的新数据集,这些数据集使用卫星数据和先进工具进行了跟踪. 这个资源有助于研究恶劣天气模式和影响.
科学领域:
- 气象学和大气科学 气象学和大气科学
- 遥感 遥感 遥感 遥感
- 气候科学 气候科学
背景情况:
- 冰风对巴西构成重大风险,需要更好地了解驱动这些事件的对流系统 (CS).
- 现有的数据集可能缺乏用于详细分析产生冰的CSs所需的空间和时间分辨率.
研究的目的:
- 创建与巴西上空的冰风暴相关的CS综合数据集.
- 促进对恶劣天气现象的先进空间和时间分析.
主要方法:
- 利用GOES-16高级基线成像仪 (ABI) 测量和雷暴跟踪和分析 (TATHU) 工具来识别和跟踪CSs.
- 在CS检测中采用了235K的亮度温度值,在生命周期跟踪中采用了10%的重叠标准.
- 综合验证的冰地面报告,以过和识别直接与冰事件相关的CS,将数据存储在SpatiaLite支持的数据库中.
主要成果:
- 开发了一个为期五年的数据集 (2018-2023年) 追踪的CSs与巴西的冰风相关.
- 该数据集包括每个CS的地理边界,统计数据 (例如亮度温度) 和生命周期信息.
- 成功地将卫星跟踪的CS与经过验证的地面真实性冰报告联系起来.
结论:
- 创建的数据集为巴西的气象和气候研究提供了宝贵的资源.
- 能够对产生冰的CS进行详细分析,支持气候模型验证和天气预报改进.
- 提供了研究恶劣天气事件气候影响的潜力.
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