Further Study on identifying Anomalous Large-Scale Rainfall Regimes in Phase Space

• Published in: Acta meteorologica Sinica Vol. 20; no. 1; pp. 62 - 71
• Main Author: 任宏利 高丽 张培群 李维京
• Format: Journal Article
• Language: English
• Published: Beijing Springer Nature B.V 2006; College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000%National Meteorological Centre, Beijing 100081%Laboratory for Climate Studies of China Meteorological Administration, National Climate Centre, Beijing 100081; Laboratory for Climate Studies of China Meteorological Administration, National Climate Centre, Beijing 100081
• Subjects: Atmosphere; Meteorology; Studies; Summer; 夏季; 拓扑空间; 聚类分析; 降雨量; China, People's Rep., Huaihe R; China, People's Rep., Shaanxi Prov., Qinling; China, People's Rep., Huang He R; China, People's Rep., Changjiang R; China, People's Rep; phase space; cluster analysis; summer rainfall; rainfall regime
• ISSN: 0894-0525; 2191-4788

Using a 40-yr dally precipitation dataset including 134 stations from 1962 to 2001, the large-scale distribution patterns of precipitation anomalies over East China are investigated in the present paper. In the phase space spanned by the first 8 EOFs generated from the 20-day low-pass filtered data, the six rainfall regimes （RRs） are identified by applying a cluster analysis method, namely, the northeastern China regime, Yellow River regime, Qinling Mountain-Hualhe River regime, Yangtze River with its south regime, South China regime, and rainless regime. Analyses show that the new RRs exhibit good persistence and evident physical sense, and excellently represent both of countrywide and regional features, which also demonstrate the inhomogeneity of multi-dimensional phase space. ~rthermore, it is more important that the new RRs can describe intraseasonal dynamic characteristics of large-scale rainfall anomalies, which is the most significant difference between the new RRs and the conventional seasonal mean rainfall patterns. On the other hand, the climatic characteristics of dally distributions of the RRs events, as well as the 40-year panorama of the RRs occurring are also investigated, which further document rationality and objectivity of the RRs with intraseasonal variability, and are likely to present more helpful information for short-term climate prediction, compared with other previous classical rainfall patterns.