Runoff Modeling Efficiency for the Upper Ussuri Basin Using Observational Data and the ERA5 Reanalysis

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY Accounts of Chemical Research Pub Date : 2024-02-15 DOI:10.3103/s1068373923120051
A. N. Bugaets, S. Yu. Lupakov, L. V. Gonchukov, O. V. Sokolov, N. Yu. Sidorenko
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Abstract

Experience of using meteorological observations and the ERA5 reanalysis for runoff modeling using the GR4J conceptual model is outlined. The study objects are catchments within the Ussuri River basin (Kirovskii, the Russian Far East). The results of the comparison of ground-based observations and reanalysis data are presented. The hydrological model has been calibrated and verified on the basis of various data sources. The traditional scores NSE, logNSE, and BIAS have been used to evaluate the modeling efficiency. According to the scores, the modeling efficiency is generally "satisfactory" and better. It is shown that for simulations, it is better to use observation network data in case of floods and the reanalysis data in case of spring high water and low flow periods. It is concluded that the effective resolution of the ERA5 data for daily precipitation and air temperature for hydrological modeling in the study area is \(0.75^\circ{-}1.0^\circ\) (\(\sim\)90–120 km).

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利用观测数据和ERA5再分析数据建立上乌苏里江流域径流模型的效率
摘要 概述了使用 GR4J 概念模型,利用气象观测和 ERA5 再分析进行径流建模的经验。研究对象是乌苏里江流域(基洛夫斯基,俄罗斯远东地区)的集水区。介绍了地面观测数据与再分析数据的比较结果。水文模型在各种数据源的基础上进行了校准和验证。采用传统的 NSE、logNSE 和 BIAS 分数来评估建模效率。根据这些评分,建模效率一般为 "满意 "或更好。结果表明,在模拟时,洪水期使用观测网数据更好,春季丰水期和枯水期使用再分析数据更好。结论是,ERA5 数据的有效分辨率为(0.75^\circ{-}1.0^\circ\)((\(\sim\)90-120 km)。
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来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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