在中美洲的热带气旋外部尺寸的数据库
Adolfo Perez-Estrada1, Christian Dominguez2
1Posgrado en Ciencias de la Tierra, Universidad Nacional Autónoma de México, Ciudad de México 04510, Mexico.
Data in brief
|December 31, 2024
概括
新的算法通过考虑降雨量来定义外部热带气旋 (TC) 的大小,从而改善了灾害风险降低. 该数据库有助于热带气旋的预警系统和区域风险管理.
科学领域:
- 气象学和大气科学 气象学和大气科学
- 气候科学是气候科学.
- 地理空间分析是什么?
背景情况:
- 热带气旋 (TCs) 构成重大威胁,雨水的间接影响超出了即时的风暴中心.
- 当前的TC大小定义往往忽略了这些间接影响,阻碍了有效的灾害风险降低.
- 准确的TC危险评估对于及时预警和风险管理至关重要.
研究的目的:
- 开发和验证新的算法来定义外部热带气旋大小,并纳入间接降雨影响.
- 创建一个全面的TC外形尺寸和形状指标数据库,以改善风险评估.
- 为中美洲的早期预警系统和区域灾害管理提供有价值的资源.
主要方法:
- 开发了两个算法:最外层云的半径 (ROCLOUD) 和降雨带的半径 (RPB).
- 利用HURDAT数据,GPM卫星图像和辐射风形状进行分析.
- 从2000年到2020年分析了191个北大西洋和336个东北太平洋TC,每6小时生成数据.
主要成果:
- 创建了一个新的外部TC大小和形状指标 (不对称性,分散性,固度) 的数据库.
- 用ROCLOUD和RPB算法计算了四个象限半径和平均半径的统计数据.
- 该数据库每6小时提供信息,涵盖TC生命周期的6个小时,从形成到衰变.
结论:
- 开发的算法和数据库为TC外界尺寸提供了更全面的定义,包括间接降雨影响.
- 预计这一资源将提高热带气旋预警系统的有效性.
- 这些发现支持改进的区域风险管理策略,特别是在中美洲地区.
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