Figure 10 - uploaded by Demetris Koutsoyiannis
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Plots of p-values of the Granger test for 10-year-long moving windows for the monthly time series of UAH temperature and logarithm of CO 2 concentration at Mauna Loa for number of lags (left) η = 1 and (right) η = 2. The time series used are: (upper) the original, and (lower) the obtained after "removing" the periodicity by averaging over the previous 12 months.
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It is common knowledge that increasing CO2 concentration plays a major role in enhancement of the greenhouse effect and contributes to global warming. The purpose of this study is to complement the conventional and established theory that increased CO2 concentration due to human emissions causes an increase of temperature, by considering the revers...
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Context 1
... these results are Sci 2020, 2, 72 14 of 26 certainly not unambiguous and most probably they are spurious. To see that they are not unambiguous, we have plotted in the upper panels of Figure 10 the p-values of the Granger test for moving windows with a size of 10 years for number of lags η = 1 and 2. The values for the entire length of time series, as given above, are also shown as dashed lines. Now the picture is quite different: each of the two directions appear dominating (meaning that the attained significance level is lower in one over the other) in about equal portions of the time. ...
Context 2
... show that the results are spurious and, in particular, affected by the very high autocorrelations of ln [CO ] and, more importantly, by its annual cyclicity, we have "removed" the latter by averaging over the previous 12 months. We did that for both series and plotted the results in the lower panels of Figure 10. Here the results are stunning. ...
Context 3
... apply this methodology in Section 5.2. Figure 10. Plots of p-values of the Granger test for 10-year-long moving windows for the monthly time series of UAH temperature and logarithm of CO₂ concentration at Mauna Loa for number of lags (left) η = 1 and (right) η = 2. ...
Context 4
... year of the 10-year window To show that the results are spurious and, in particular, affected by the very high autocorrelations of ln [CO 2 ] and, more importantly, by its annual cyclicity, we have "removed" the latter by averaging over the previous 12 months. We did that for both series and plotted the results in the lower panels of Figure 10. Here the results are stunning. ...