Seasonal Prediction of the Yangtze River Runoff Using a Partial Least Squares Regression Model

Ye Xiaochen; Wu Zhiwei; Wang Zhaomin; Shen Huying; Xu Jianming

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Seasonal Prediction of the Yangtze River Runoff Using a Partial Least Squares Regression Model

机译：基于偏最小二乘回归模型的长江径流季节预报。

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摘要

As the longest river in Asia and the third-longest river in the world, the Yangtze River drains a large land area of the Eurasian continent. Seasonal prediction of the Yangtze River runoff is of crucial importance yet is a challenging issue. In this study, observed monthly runoff data are used to develop a new Yangtze River runoff index (YRI) for the 1950-2016 period. The YRI is not only able to quantify the runoff state of the Yangtze River but is also able to evaluate the intensity of the East Asian summer monsoon (EASM). The YRI is highly correlated with summer precipitation in the Yangtze River basin. It can also capture the principal components of the EASM circulation system.

机译：作为亚洲最长的河流，世界第三大河流，长江流经了欧亚大陆的一大片土地。长江径流的季节预报至关重要，但仍是一个具有挑战性的问题。在这项研究中，观测的月径流量数据被用于制定1950-2016年期间的新长江径流量指数（YRI）。 YRI不仅可以量化长江的径流状态，还可以评估东亚夏季风（EASM）的强度。 YRI与长江流域的夏季降水高度相关。它还可以捕获EASM循环系统的主要组成部分。

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来源
《Atmosphere-ocean》 |2018年第2期|117-128|共12页
作者
Ye Xiaochen; Wu Zhiwei; Wang Zhaomin; Shen Huying; Xu Jianming;
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作者单位

Nanjing Univ Informat Sci & Technol, Minist Educ, Earth Syst Modeling Ctr, Nanjing 210044, Jiangsu, Peoples R China;

Fudan Univ, IAS, Shanghai 200433, Peoples R China;

Hohai Univ, Coll Oceanog, Nanjing 210098, Jiangsu, Peoples R China;

Changjiang Water Resources Commiss, Dept Hydrometeorol Forecasting, Bur Hydrol, Wuhan 430010, Hubei, Peoples R China;

Shanghai Key Lab Meteorol & Hlth, Shanghai 200030, Peoples R China;

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原文格式 PDF
正文语种 eng
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关键词
Yangtze River runoff; partial least squares regression; seasonal prediction;

机译：长江流域偏最小二乘回归季节预报;

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Seasonal Prediction of the Yangtze River Runoff Using a Partial Least Squares Regression Model

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