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SC-PREC4SA:一个连续完整的每日降水数据集,用于南美洲
Adrian Huerta1,2, Roberto Serrano-Notivoli3, Stefan Brönnimann4,5
1Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland. adrhuerta@gmail.com.
Scientific data
|June 14, 2025
概括
南美洲 (SC-PREC4SA) 的新一天降水数据集填补了数据缺口,并确保了从1960年到2015年的一致性. 这种可靠的资源有助于整个大陆的气候研究和水资源管理.
科学领域:
- 气候学和大气科学 气候学和大气科学
- 水文和水资源管理 水文和水资源管理
背景情况:
- 南美洲的降水数据经常存在观察差距和时间不一致.
- 不同的气候条件和稀疏的站点网络加剧了数据质量挑战.
研究的目的:
- 引入南美洲连续完整的降水数据集 (SC-PREC4SA),这是一个覆盖1960-2015年的每日降水数据集.
- 解决南美降水记录数据可用性和质量的关键问题.
主要方法:
- 实施强有力的质量控制程序,以识别和纠正常见和被忽视的数据问题.
- 应用一个填空算法,在雨天达到70%的精度,在雨天达到60%的精度.
- 使用聚焦于雨天的同质化算法,以减少异质性,同时保持降水变化.
主要成果:
- 该SC-PREC4SA数据集提供来自7794个站的每日降水数据,准确度和一致性高至中等.
- 填补差距的过程证明了可靠性,特别是在数据稀疏的混合气候地区.
- 同质化有效减少了不均质性,确保了降水变化数据的完整性.
结论:
- SC-PREC4SA为南美降水模式提供了有价值,统一和强大的数据集.
- 该数据集解决了长期存在的挑战,增强了其对气候研究,水文建模和水资源管理的实用性.
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