G2TT
来源类型FEEM working papers "Note di lavoro" series
规范类型论文
Temperature Anomalies, Radiative Forcing and ENSO
Claudio Morana; Giacomo Sbrana
发表日期2017
出处Economic Theory
出版年2017
语种英语
摘要The paper investigates the linkages between temperature anomalies, radiative forcing and ENSO. By means of a new flexible trend modeling approach, we uncover a nonlinear linkage between radiative forcing and global temperature anomalies. The nonlinear trend closely tracks the low frequency evolution in temperature anomalies, also accounting for the mid-end 1990s level switch, the 1998-2013 "warming hiatus" and the current steepening in trend temperatures. Radiative forcing is also found to account for trend dynamics in the Southern Oscillation Index (SOI), therefore providing support for the view that global warming might affect natural variability oscillations such as ENSO, and therefore enhance their disruptive effects. We also document the feature of time-varying volatility of temperature anomalies and SOI, which is well described by an IGARCH process. By means of a new dynamic conditional correlation model (SP-DCC), we finally document the presence of time-varying conditional correlations relating temperature anomalies across various zones and SOI. The correlation pattern is found to be consistent with the effects of ENSO events in the Tropics and their teleconnections. *** Suggested citation: Morana, C., G. Sbrana, (2017), 'Temperature Anomalies, Radiative Forcing and ENSO', Nota di Lavoro 9.2017, Milan, Italy: Fondazione Eni Enrico Mattei
特色分类C32
关键词Temperature Anomaly Global Warming Warming Hiatus Radiative Forcing ENSO El Niño Conditional Heteroskedasticity Semiparametric Dynamic Conditional Correlation Model
URLhttps://www.feem.it/en/publications/feem-working-papers-note-di-lavoro-series/temperature-anomalies-radiative-forcing-and-enso/
来源智库Fondazione Eni Enrico Mattei (Italy)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/118525
推荐引用方式
GB/T 7714
Claudio Morana,Giacomo Sbrana. Temperature Anomalies, Radiative Forcing and ENSO. 2017.
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