Assessment of precipitation reanalysis product ERA5 on summer extreme precipitation in the Yellow River Basin

IF 2 4区 地球科学 Q2 GEOCHEMISTRY & GEOPHYSICS
Dynamics of Atmospheres and Oceans Pub Date : 2025-12-01 Epub Date: 2025-10-15 DOI:10.1016/j.dynatmoce.2025.101603
Guangyu Lan, Yun Liang, Yucheng Ma
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引用次数: 0

Abstract

Based on the rain gauge-based gridded precipitation data from the CN05.1 dataset, the applicability of ERA5 in representing summer extreme precipitation in the Yellow River Basin (YRB) was evaluated from three aspects: climatology, deterministic and probabilistic assessment, and the spatiotemporal characteristics of the leading modes. The results showed that the ERA5 reanalysis demonstrates capability in capturing climatological characteristics of precipitation and extreme precipitation over the YRB, albeit with intensified climatological means and standard deviations, coupled with opposing linear trends. In terms of interannual variability, its precipitation estimates demonstrate notably higher accuracy in the recent decade compared to earlier periods. Deterministic evaluation reveals superior representation of general precipitation compared to intense precipitation. Probabilistic assessments indicate that uncertainties predominantly originate from the upper and northern middle reaches of the YRB, accompanied by systematic biases in probabilistic estimations of increased extreme precipitation amounts and decreased extreme precipitation days. While ERA5 successfully reproduces spatial patterns of the first two dominant modes of precipitation and extreme precipitation across the YRB, it amplifies anomalous signals. ERA5 accurately simulates interannual cycles associated with the first mode, but introduces spurious decadal signals in the second mode's temporal evolution.
降水再分析产品ERA5对黄河流域夏季极端降水的评价
基于CN05.1雨量计格点降水资料,从气候学、确定性和概率评估以及主要模态的时空特征三个方面,对ERA5表征黄河流域夏季极端降水的适用性进行了评价。结果表明,ERA5再分析具有较强的气候平均值和标准差,并伴有相反的线性趋势,但能较好地捕捉到青藏高原降水和极端降水的气候特征。就年际变率而言,其降水估计在最近十年中显示出与早期相比显著更高的准确性。确定性评价表明一般降水比强降水具有更好的代表性。概率评估表明,不确定性主要来自长江三角洲中上游和中北部,在极端降水量增加和极端降水日数减少的概率估计中存在系统偏差。虽然ERA5成功地再现了YRB前两种主要降水模态和极端降水模态的空间格局,但它放大了异常信号。ERA5准确地模拟了与第一模态相关的年际周期,但在第二模态的时间演变中引入了伪年代际信号。
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来源期刊
Dynamics of Atmospheres and Oceans
Dynamics of Atmospheres and Oceans 地学-地球化学与地球物理
CiteScore
3.10
自引率
5.90%
发文量
43
审稿时长
>12 weeks
期刊介绍: Dynamics of Atmospheres and Oceans is an international journal for research related to the dynamical and physical processes governing atmospheres, oceans and climate. Authors are invited to submit articles, short contributions or scholarly reviews in the following areas: •Dynamic meteorology •Physical oceanography •Geophysical fluid dynamics •Climate variability and climate change •Atmosphere-ocean-biosphere-cryosphere interactions •Prediction and predictability •Scale interactions Papers of theoretical, computational, experimental and observational investigations are invited, particularly those that explore the fundamental nature - or bring together the interdisciplinary and multidisciplinary aspects - of dynamical and physical processes at all scales. Papers that explore air-sea interactions and the coupling between atmospheres, oceans, and other components of the climate system are particularly welcome.
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