DOI: 10.1175/JCLI-D-11-00551.1
Scopus记录号: 2-s2.0-84858592537
论文题名: Influence of circulation patterns on temperature behavior at the regional scale: A case study investigated via neural network modeling
作者: Pasini A. ; Langone R.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2012
卷: 25, 期: 6 起始页码: 2123
结束页码: 2128
语种: 英语
Scopus关键词: Alpine areas
; Circulation patterns
; Climate variability
; Neural network modeling
; Non-linear methods
; Non-linear model
; North Atlantic oscillations
; Regional scale
; Surface temperature
; Temperature anomaly
; Temperature behavior
; Temperature changes
; Twentieth century
; Atmospheric pressure
; Climatology
; Nonlinear analysis
; Neural networks
; air temperature
; artificial neural network
; atmospheric circulation
; atmospheric modeling
; climate variation
; North Atlantic Oscillation
; surface temperature
; temperature anomaly
; Italy
英文摘要: An analysis of the influence of circulation patterns on temperature changes in an extended Italian Alpine area has been performed by nonlinear methods and neural network modeling. This leads to the clarification of the roles of these patterns in the various seasons and permits the development of models that are able to reconstruct in a satisfactory manner the behavior of temperature anomalies in the second half of the twentieth century in this limited region. This nonlinear analysis shows that the role of the North Atlantic Oscillation (NAO) is probably overestimated, and that European blocking and the Scandinavian pattern should be considered as prime candidates as temperature drivers in this area. © 2012 American Meteorological Society. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/52504
Appears in Collections: 气候变化事实与影响
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作者单位: Institute of Atmospheric Pollution Research, CNR, Rome, Italy; ESAT/SISTA, Katholieke Universiteit Leuven, Leuven, Belgium
Recommended Citation:
Pasini A.,Langone R.. Influence of circulation patterns on temperature behavior at the regional scale: A case study investigated via neural network modeling[J]. Journal of Climate,2012-01-01,25(6)