Tropospheric ozone burden in the past

The ability of ice cores to trap ancient atmosphere naturally raises the question whether one could understand past atmospheric chemistry from the trapped bubbles. Yet, understanding the history of atmosphere chemistry, particularly the oxidizing power of the atmosphere, has long been challenging, because the reactive species in the atmosphere are often short-lived and present in extremely low concentrations. That said, chemical processes often fractionate the stable isotopes of the reactants due to kinetical differences. That means that these short-lived trace species could leave an "isotopic fingerprint" on other major species, which are well preserved in ice cores and could be readily measured. By analyzing the isotopic composition of such major species, we could potentially infer the atmospheric chemistry in Earth history. The "clumped" isotopes of O2 (that is, two heavy 18O atoms bonding in the form of 18O18O) are a promising proxy to reveal past atmosphere chemistry, in particular tropospheric ozone concentrations.

The basic principle of isotope clumping in O2 is that, if the bulk composition of O2 is known, we could infer the theoretical abundance of 18O18O. For example, if 1 in every 100 O2 molecules is 18O16O, we would expect 1 18O18O molecule in every 10,000 O2 molecules if the formation of chemical bond is purely random. However, thermodynamics dictates that this is not a random process, and heavy atoms tend to form chemical bonds with each other (say, instead 1 18O18O molecule there are 1.01 18O18O molecules in 10,000 O2 molecules). This excess of heavy atoms "clumped" together is what we try to measure [in the case of O2, Δ36, which equals R36/(R182) - 1]. Importantly, thermodynamic theories also predict that the extent of isotope clumping scales inversely with temperature. At very high temperature, "clumping" disappears and the distribution conforms to stochastic statistics.

For Δ36 values of O2 in the lower troposphere, two more realistic considerations are worth mentioning here. First, Δ36 values are also affected by kinetics: namely, how fast could Δ36 respond to a change in temperature. Photochemistry involving ozone (O3) plays a key role here. In the simplest language, a higher level of O3 allows the Δ36 to reach the equilibrium value (set by temperature) faster. Second, stratosphere-to-troposphere transport brings O2 with heavy Δ36 values into the lower troposphere. Overall, this means that the Δ36 value of lower-tropospheric O2 reflects mixing of two end-members, each of which have its own characteristic Δ36 value depending on temperature and reaction rates (O3), shows Figure 1.

 

Figure 1. Schematic of the atmospheric Δ36 budget, from Yeung et al (2016).

 

To first order, stratospheric Δ36 quickly reach equilibrium values at a given temperature due to high flux of UV light and high O3 concentrations. In the troposphere, however, Δ36 is largely kinetically limited. Thus, O3 level has a larger influence on the tropospheric Δ36 values. If both troposphere and stratosphere temperature can be constrained, changes in Δ36 values should primarily reflect the level of tropospheric ozone (Yeung et al, 2019).

I used the S27 ice core drilled from Allan Hills, East Antarctica to measure the Δ36 of trapped O2. This core provides a continuous deglacial record from Penultimate Glacial Maximum (PGM) to the Last Interglacial (LIG) (Spaulding et al, 2013; Yan et al, 2021; also check out the entry Cryosphere changes). Since we know the temperature difference between LIG and the Pre-Industrial Period is probably within 2 degree C (Otto-Bliensner et al, 2021), the measured Δ36 gives us perhaps the oldest record of tropospheric ozone.

Surprisingly, despite the similarity in atmospheric temperature, the measured LIG Δ36 value is 0.03 ± 0.02‰ (95% CI) higher than the late Holocene/pre-industrial (PI; 1,590–1,850 CE) value. In an atmospheric chemistry-transport model (GEOS-Chem), this difference corresponds to a 9% reduction in LIG tropospheric O3 burden (95% CI: 3%–15%) and can be caused by a ~70% reduction in biomass burning emissions during the LIG relative to the PI.

 

Figure 2. (a) Temporal evolution of Δ36 from the Penultimate Glacial Maximum (PGM: 147–135 ka; mean Δ36 = 2.11‰; 1σ = 0.04‰; N = 25) to the Last Interglacial (LIG: 130–115 ka; mean Δ36 = 2.07‰; 1σ = 0.04‰; N = 16) and (b) probability density distributions of mean atmospheric Δ36 values obtained from bootstrap resampling of PGM and LIG data from this study as well as present day (PD), preindustrial (PI) and Last Glacial Maximum (LGM) data reported previously (Banerjee et al., 2022; Yeung et al., 2019). Error bars represent the analytical uncertainties of the replicated Δ36 measurements, calculated as the pooled standard deviation (0.04‰) divided by the square root of the number of actual replicates. For samples with no replicates, no error bars are shown and we assume the uncertainty to be 0.04‰. The 7-kyr moving average (bold black curve) of measured Δ36 values is bracketed by the 95% CI (gray shading).

 

This work has been published on Geophysical Research Letters:

Yan, Y., Banerjee, A., Murray, L.T., Tie, X. and Yeung, L.Y., 2022. Tropospheric ozone during the Last Interglacial. Geophysical Research Letters, 49(23), p.e2022GL101113.Yan, Y., Banerjee, A., Murray, L.T., Tie, X. and Yeung, L.Y., 2022. Tropospheric ozone during the Last Interglacial. Geophysical Research Letters, 49(23), p.e2022GL101113.

Further references

Otto-Bliesner, B.L., Brady, E.C., Zhao, A., Brierley, C.M., Axford, Y., Capron, E., Govin, A., Hoffman, J.S., Isaacs, E., Kageyama, M. and Scussolini, P., 2021. Large-scale features of Last Interglacial climate: results from evaluating the lig127k simulations for the Coupled Model Intercomparison Project (CMIP6)–Paleoclimate Modeling Intercomparison Project (PMIP4). Climate of the Past, 17(1), pp.63-94.

Spaulding, N.E., Higgins, J.A., Kurbatov, A.V., Bender, M.L., Arcone, S.A., Campbell, S., Dunbar, N.W., Chimiak, L.M., Introne, D.S. and Mayewski, P.A., 2013. Climate archives from 90 to 250 ka in horizontal and vertical ice cores from the Allan Hills Blue Ice Area, Antarctica. Quaternary Research, 80(3), pp.562-574.

Yan, Y., Spaulding, N.E., Bender, M.L., Brook, E.J., Higgins, J.A., Kurbatov, A.V. and Mayewski, P.A., 2021. Enhanced Moisture Delivery into Victoria Land, East Antarctica During the Early Last Interglacial: Implications for West Antarctic Ice Sheet Stability. Climate of the Past, 17, pp.1841-1855.

Yeung, L.Y., Murray, L.T., Ash, J.L., Young, E.D., Boering, K.A., Atlas, E.L., Schauffler, S.M., Lueb, R.A., Langenfelds, R.L., Krummel, P.B. and Steele, L.P., 2016. Isotopic ordering in atmospheric O2 as a tracer of ozone photochemistry and the tropical atmosphere. Journal of Geophysical Research: Atmospheres, 121(20), pp.12-541.

Yeung, L.Y., Murray, L.T., Martinerie, P., Witrant, E., Hu, H., Banerjee, A., Orsi, A. and Chappellaz, J., 2019. Isotopic constraint on the twentieth-century increase in tropospheric ozone. Nature, 570(7760), pp.224-227.