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CO_(2) Forcing of Changes in Lower Tropospheric Temperatures:A Time Series Analysis
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作者 Peter R.Hartley 《American Journal of Climate Change》 2025年第4期707-726,共20页
A simple forcing-feedback model of the effect of CO_(2) on temperatures implies that the natural logarithm of the concentration of CO_(2) in the atmosphere,lnC,and satellite-measured lower tropospheric temperatures,T,... A simple forcing-feedback model of the effect of CO_(2) on temperatures implies that the natural logarithm of the concentration of CO_(2) in the atmosphere,lnC,and satellite-measured lower tropospheric temperatures,T,should have the same order of integration.Multiple tests provide strong evidence that lnC has a unit root(it is integrated of order 1).However,the hypothesis that T has a unit root is strongly rejected both for the globe as a whole and for a set of non-overlapping geographic subsets.A possible explanation is that CO_(2) accumulation is associated with some other trending process that moderates its effects on atmospheric temperatures in such a way as to prevent T from also having a unit root.The analysis also reveals interactions between temperature anomalies in the non-overlapping geographic subsets that further limit the range of models consistent with the evidence. 展开更多
关键词 Satellite-Measured Temperature Anomalies forcing-feedback Climate Model Stationarity Autoregressive Integrated Moving-Average(ARIMA) Autoregressive Fractionally Integrated Moving-Average(ARFIMA) Vector Autoregression(VAR)
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