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1982年至2021年的第一个全球多时间尺度每日SPEI数据集
Xuebang Liu1, Shuying Yu1, Zhiwei Yang1
1Laboratory for Earth Surface Processes, Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China.
Scientific data
|February 21, 2024
概括
一个新的全球每日标准化降水蒸发指数 (SPEI) 数据集 (SPEI-GD) 为干旱监测提供了更好的分辨率和准确性. 这一资源有助于理解全球干旱的动态和细微规模的影响.
科学领域:
- 气候科学 气候科学
- 水文学的水文学
- 环境监测 环境监测
背景情况:
- 全球变暖加剧了水循环,导致全球干旱频率和严重性增加.
- 准确的干旱监测和预测对自然和经济系统至关重要,但现有的数据集往往缺乏足够的空间或时间分辨率.
- 标准化降雨蒸发透气指数 (SPEI) 是干旱评估的关键指标,但其全球应用受到数据限制的限制.
研究的目的:
- 开发一个高分辨率的全球每日SPEI数据集 (SPEI-GD),解决现有干旱指数的局限性.
- 为分析各种时间尺度上的干旱特征提供全面的数据集,包括开始/结束日期和空间范围.
- 通过提供可靠,高准确度的数据资源,加强全球和区域干旱研究.
主要方法:
- 全球每日SPEI数据集 (SPEI-GD) 的开发,空间分辨率为0.25°,涵盖1982-2021年.
- 利用了来自ERA5 (欧洲中等天气预报中心再分析V5) 数据集的降水数据.
- 纳入了来自辛格数据集的多个SPEI时间尺度 (5,30,90,180,360天) 的潜在蒸发转化数据.
主要成果:
- SPEI-GD数据集以0.25°的空间分辨率提供每日全球覆盖范围.
- 与广泛使用的SPEIbase数据集相比,证明了更好的时空分辨率和准确性,特别是在数据稀疏的地区.
- 验证了SPEI-GD与现场SPEI测量以及土壤湿度数据之间的强烈相关性.
结论:
- SPEI-GD数据集显著提高了详细的全球和区域干旱监测和分析的能力.
- 这种高分辨率的数据集是次季节性到每日性干旱研究的宝贵资源.
- 这些发现强调了高分辨率气候数据对于了解和减轻干旱影响的重要性.
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