Empirical Subseasonal Prediction of Summer Rainfall Anomalies over the Middle and Lower Reaches of the Yangtze River Basin Based on Atmospheric Intraseasonal Oscillation

被引:16
|
作者
Zhu, Zhiwei [1 ]
Chen, Shengjie [2 ]
Yuan, Kai [3 ]
Chen, Yini [4 ]
Gao, Song [5 ]
Hua, Zhenfei [6 ]
机构
[1] Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteoro, Joint Int Res Lab Climate & Environm Change ILCEC, Key Lab Meteorol Disaster,Minist Educ KLME, Nanjing 210044, Jiangsu, Peoples R China
[2] Jiangsu Meteorol Observ, Nanjing 210008, Jiangsu, Peoples R China
[3] Wuhan Meteorol Serv, Wuhan 430040, Hubei, Peoples R China
[4] Zhejiang Meteorol Observ, Hangzhou 310017, Zhejiang, Peoples R China
[5] Chongqing Inst Meteorol Sci, Chongqing 401147, Peoples R China
[6] Anhui Meteorol Bur, Hefei 230031, Anhui, Peoples R China
来源
ATMOSPHERE | 2017年 / 8卷 / 10期
关键词
atmospheric intraseasonal oscillation; subseasonal prediction; summer rainfall anomalies; middle and lower reaches of the Yangtze River basin; WESTERN NORTH PACIFIC; MADDEN-JULIAN OSCILLATION; EXTENDED-RANGE FORECAST; CLIMATE MODELS; INDIAN-OCEAN; CHINA; MONSOON; MJO; PREDICTABILITY; SKILL;
D O I
10.3390/atmos8100185
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The middle and lower reaches of the Yangtze River basin (MLRYB) are prone to flooding because their orientation is parallel to the East Asian summer monsoon rain belt. Since the East Asian summer monsoon presents pronounced intraseasonal variability, the subseasonal prediction of summer precipitation anomalies in the MLRYB region is an imperative demand nationwide. Based on rotated empirical orthogonal function analysis, 48 stations over the MLRYB with coherent intraseasonal (10-80-day) rainfall variability are identified. Power spectrum analysis of the MLRYB rainfall index, defined as the 48-station-averaged intraseasonal rainfall anomaly, presents two dominant modes with periods of 20-30 days and 40-60 days, respectively. Therefore, the intraseasonal (10-80-day) rainfall variability is divided into 10-30-day and 30-80-day components, and their predictability sources are detected separately. Spatial-temporal projection models (STPM) are then conducted using these predictability sources. The forecast skill during the period 2003-2010 indicates that the STPM is able to capture the 30-80-day rainfall anomalies 5-30 days in advance, but unable to reproduce the 10-30-day rainfall anomalies over MLRYB. The year-to-year fluctuation in forecast skill might be related to the tropical Pacific sea surface temperature anomalies. High forecasting skill tends to appear after a strong El Nino or strong La Nina when the summer seasonal mean rainfall over the MLRYB is enhanced, whereas low skill is apparent after neutral conditions or a weak La Nina when the MLRYB summer seasonal mean rainfall is weakened. Given the feasibility of STPM, the application of this technique is recommended in the real-time operational forecasting of MLRYB rainfall anomalies during the summer flooding season.
引用
收藏
页数:14
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