DocumentCode
3113747
Title
Multi-scale analysis of warm extremes over China
Author
Zhu, Jian ; Huang, Danqing ; Kuang, Xueyuan
Author_Institution
Sch. of Atmos. Sci., Nanjing Univ., Nanjing, China
fYear
2011
fDate
26-28 March 2011
Firstpage
458
Lastpage
461
Abstract
Multi-scale features of warm extremes over China from 1961 to 2002 are evaluated using daily minimum and maximum temperature data. Different time scales of regional features of warm extremes are performed using rotated empirical orthogonal function (REOF) analysis and time scale departure methods. Clearly, significant differences are found in multi-scale of warm extremes. Significant increasing linear trends are detected in Northeast China, Inner Mongolia, northwestern part of Xinjiang, and southwestern China. However, in middle and lower reaches of Yangtze River, southern China and lower reaches of Yellow River basin, the linear trend is not remarkable, but the interannual pattern is the leading part, with several extreme peaks. The links with global temperature anomalies are studied, focusing in northeastern China and in middle and lower reaches of Yangtze River. It is found that the extreme indices show largest correlations with temperature anomalies in the Pacific Ocean. We detect that in northeastern and inland areas, high-related regions of frequency of warm extremes and the global temperature anomalies are broader, while the high-related area is smaller in the middle and lower reaches of the Yangtze River and the coastal regions.
Keywords
atmospheric temperature; climatology; oceanographic regions; rivers; AD 1961 to 2002; Inner Mongolia; Northeast China; Pacific Ocean; Xinjiang; Yangtze River lower reaches; Yangtze River middle reaches; Yellow River basin; coastal regions; daily maximum temperature data; daily minimum temperature data; extreme indices; global temperature anomalies; interannual pattern; multiscale analysis; multiscale features; rotated empirical orthogonal function analysis; southwestern China; time scale departure methods; warm extremes; Correlation; Meteorology; Ocean temperature; Rivers; Sea measurements; Temperature distribution;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Technology (ICIST), 2011 International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-9440-8
Type
conf
DOI
10.1109/ICIST.2011.5765290
Filename
5765290
Link To Document