DOI: 10.1016/j.atmosres.2018.02.008
Scopus记录号: 2-s2.0-85044388078
论文题名: A three-stage hybrid model for regionalization, trends and sensitivity analyses of temperature anomalies in China from 1966 to 2015
作者: Wu F. ; Yang X. ; Shen Z.
刊名: Atmospheric Research
ISSN: 1698095
出版年: 2018
卷: 205 起始页码: 80
结束页码: 92
语种: 英语
英文关键词: China
; K-means clustering
; Regionalization
; Rotated empirical orthogonal function
; Temperature
; Three-stage hybrid model
Scopus关键词: Clustering algorithms
; Orthogonal functions
; Temperature
; China
; Empirical Orthogonal Function
; Hybrid model
; K - means clustering
; Regionalization
; Sensitivity analysis
; algorithm
; climate modeling
; empirical orthogonal function analysis
; numerical model
; regional climate
; sensitivity analysis
; temperature anomaly
; trend analysis
; warming
; China
英文摘要: Temperature anomalies have received increasing attention due to their potentially severe impacts on ecosystems, economy and human health. To facilitate objective regionalization and examine regional temperature anomalies, a three-stage hybrid model with stages of regionalization, trends and sensitivity analyses was developed. Annual mean and extreme temperatures were analyzed using the daily data collected from 537 stations in China from 1966 to 2015, including the annual mean, minimum and maximum temperatures (Tm, TNm and TXm) as well as the extreme minimum and maximum temperatures (TNe and TXe). The results showed the following: (1) subregions with coherent temperature changes were identified using the rotated empirical orthogonal function analysis and K-means clustering algorithm. The numbers of subregions were 6, 7, 8, 9 and 8 for Tm, TNm, TXm, TNe and TXe, respectively. (2) Significant increases in temperature were observed in most regions of China from 1966 to 2015, although warming slowed down over the last decade. This warming primarily featured a remarkable increase in its minimum temperature. For Tm and TNm, 95% of the stations showed a significant upward trend at the 99% confidence level. TNe increased the fastest, at a rate of 0.56 °C/decade, whereas 21% of the stations in TXe showed a downward trend. (3) The mean temperatures (Tm, TNm and TXm) in the high-latitude regions increased more quickly than those in the low-latitude regions. The maximum temperature increased significantly at high elevations, whereas the minimum temperature increased greatly at middle-low elevations. The most pronounced warming occurred in eastern China in TNe and northwestern China in TXe, with mean elevations of 51 m and 2098 m, respectively. A cooling trend in TXe was observed at the northwestern end of China. The warming rate in TNe varied the most among the subregions (0.63 °C/decade). © 2018 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/108910
Appears in Collections: 影响、适应和脆弱性 气候变化事实与影响
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作者单位: State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, 100875, China
Recommended Citation:
Wu F.,Yang X.,Shen Z.. A three-stage hybrid model for regionalization, trends and sensitivity analyses of temperature anomalies in China from 1966 to 2015[J]. Atmospheric Research,2018-01-01,205