大安蒂尔群岛的多尺度干旱数据集:环境和适应研究的资源
Milica Stojanovic1, Rogert Sorí2, Albenis Pérez-Alarcón2,3
1Centro de Investigación Mariña, Environmental Physics Laboratory (EPhysLab), Universidade de Vigo, Campus As Lagoas s/n, 32004, Ourense, Spain. mstojanovic@uvigo.es.
Scientific data
|October 29, 2025
概括
一个新的大安蒂尔群岛多重干旱指标数据集使用来自高分辨率数据的标准化降雨指数 (SPI). 该工具有助于了解加勒比干旱,管理水资源和支持农业.
科学领域:
- 气候学和水文学 气候学和水文学
- 环境科学 环境科学
- 数据科学数据科学数据科学
背景情况:
- 干旱对大安蒂尔群岛构成重大风险,影响水资源和农业.
- 为了有效监测和管理该地区的干旱,需要一个全面的,高分辨率的数据集.
研究的目的:
- 使用标准化降水指数 (SPI) 为大安蒂尔群岛创建一个多干旱指数数据集.
- 描述干旱的时间和空间条件和情节.
- 为干旱理解和水资源管理提供实用工具.
主要方法:
- 利用高分辨率 (0.1°) 多源加权集成降水 (MSWEP) 数据从1980-2023.
- 在多个时间尺度 (1-24个月) 中获得标准化降水指数 (SPI).
- 与观察和再分析数据对比验证的数据集;执行源-下水槽湿度分析.
主要成果:
- 开发了一套验证的古巴,牙买加,波多黎各和西班牙的多次干旱指标数据集.
- 根据持续时间,严重程度,面积,持久性,发病和恢复,确定和描述干旱事件.
- 证明了数据集在代表过去破坏性干旱事件方面的一致性.
结论:
- 新的数据集是了解加勒比干旱现象的实际工具.
- 它支持有效的水资源管理,农业规划和风险评估.
- 高分辨率的多度指标方法增强了区域干旱抵御能力的努力.
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