Is There an Ongoing Debate about the Impact of Solar Variability on Climate?
This is part 1 of review of the claims in Connolly et al 2021. You can see part 2 here. A paper was published in 2021 arguing that scientists have been premature to rule out the possibility that the Sun is the dominant explanation for the current warming trend. One key element in this argument is that there is continued disagreement over the degree of solar variability in reconstructions of Total Solar Irradiance (TSI) since 1610. Some reconstructions show "low solar variability," and if those are correct, then current warming may be best explained by anthropogenic forcings. However, if "high solar variability" reconstructions are correct, then solar variability may explain most of current warming. So Connolly et al argue that "the answer to our question 'How much has the Sun influenced Northern Hemisphere temperature trends?' depends substantially on which estimate of TSI we choose."[1] But is this correct?
Connolly et al Figure 2 |
Figure 2 in his paper (above) shows graphs from 8 papers reconstructing TSI from at least from 1850. These generally show the individual solar cycles without 11-year smoothing. At most, these reconstructions show a difference of 2 W/m^2 between the lowest and highest values since 1850. Any 11-year running average would show significantly less than 2 W/m^2 since 1850. Figure 3 shows 8 "high variability" estimates that range anywhere from 2.5 to 4 W/m^2 from the lowest and highest values since 1850. Again, any 11-year running average would show less variability. And all of these reconstructions show a significant decrease in TSI between 1850 and 1900 followed by increases through about 1960 to 2000 and then a decrease following 1960 to 2000. It would be generous to characterize these "high variability" estimates as showing a ~ 3 W/m^2 increase in TSI. In fact, most of them show TSI in 1850 to be not so different from current values - they just vary by a lot more between then and now.
Connolly Figure 3 |
RF = dTSI * (1-α)/4, where
This would mean the total increase in TSI at most has an effect that is smaller than forcing from anthropogenic aerosols. The total increase in RF would increase to 2.2 + 0.5 = 2.7 W/m^2. It would also mean that at most, solar variability accounts for 0.5/2.7 = 19% of the increase in RF (and therefore temperatures). There's no way that solar variability can be responsible for most of current warming given the empirical evidence we have, even if we grant the "high variability" reconstructions. What Connolly seems to want to argue is that the greater we estimate solar variability, then the climate system must be less sensitive to GHGs, and this is simply bad logic.[3] It requires an assumption that the earth's climate system is more sensitive to an increase in RF from solar forcings than it is to an increase in RF from GHGs. We already know this assumption is wrong.
Expected Temperature Change from Solar Variability Alone since 1610, Assuming ECS = 3 C. |
[2] I justify these numbers in another blogpost. I'm just using round numbers here for the sake of argument.
[3] "But this is a fallacy. It is equivalent to arguing that if total caloric intake correlates to weight, that exercise can have no effect." Gavin Schmidt. "The Soon Fallacy." Realclimate. https://www.realclimate.org/index.php/archives/2015/02/the-soon-fallacy/
[4] "Historical Total Solar Irradiance Reconstruction, Time Series." https://lasp.colorado.edu/lisird/data/historical_tsi/
[5] Lean, J. L. (2018). Estimating solar irradiance since 850 CE. Earth and Space Science, 5, 133– 149. https://doi.org/10.1002/2017EA000357
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