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CO2 Forcing of Changes in Lower Tropospheric Temperatures: A Time Series Analysis

DOI: 10.4236/ajcc.2025.144034, PP. 707-726

Keywords: 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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Abstract:

A simple forcing-feedback model of the effect of CO2 on temperatures implies that the natural logarithm of the concentration of CO2 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 CO2 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.

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