一种非静止偏差调整方法,用于改善预测降水量的跨年变化和持久性
Marina Cantalejo1, Manuel Cobos2, Agustín Millares1
1Environmental Fluid Dynamics Group, Andalusian Institute for Earth System Research (IISTA), Avda. del Mediterráneo s/n 18006, Granada, Spain.
Scientific reports
|October 30, 2024
概括
一种新的非静止 (NS) 偏差调整方法通过更好地处理零星降雨,改善了半干旱地区的降水预测. 与传统方法相比,这种方法可以减少错误,特别是在山区发生极端事件时.
科学领域:
- 环境科学环境科学
- 水文学 水文学
- 气候建模 气候建模
背景情况:
- 水文研究需要准确的环境变量,如降水量,在半干旱盆地非常可变.
- 传统的偏差调整方法与降雨的季节性和间歇性质作斗争,导致气候变化影响评估的不准确性.
研究的目的:
- 为环境变量引入一种新的非静止 (NS) 偏差调整方法,用于零星事件和强度变化,例如降水.
- 为了比较NS方法的性能与广泛使用的量子式三角形映射方法 (QDM).
主要方法:
- 该NS方法建立了降水发生的概率值,并使用非静态量子位映射进行强度偏差调整.
- 应用于七个区域气候模型 (RCP 8.5情景,2006 - 2100年) 和历史数据 (1970 - 2005年) 的每日降水预测.
主要成果:
- 无论是NS方法还是QDM方法都显示出可靠的性能,在较低百分位数中,平均平方误差 (<1毫米) 较低.
- 对于较高的降水百分位数,特别是高海拔地区,NS方法显著优于QDM,在第75个百分位数中,误差降低了高达66%.
结论:
- 拟议的NS方法有效地减少了跨年降水变量的不确定性,为半干旱山区的水文影响评估提供了更高的准确性.
- 这项工作是将类似方法应用于多种气候变量以进行全面的水文反应分析的基本步骤.
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