Abstract
Abstract: Climate models calibrated exclusively with observations from the 19th through 21st centuries are unsuitable for assessing many important hypotheses about the future. Many systems in the modern climate are expected to cross dynamic thresholds in the near future, requiring more than the instrumental record for adequate calibration. In this paper I argue that paleoclimate analogues from earth’s past can mitigate this threshold problem, even if the modern climate exhibits features that make it historically unique. While this requires that paleoclimatologists be increasingly discriminate in the past systems they target for modern analogues, the upshot is a practice of climate model construction that improves the reliability of future projections. All of this is achieved by integrating features of past climate systems discovered by the study of earth deep in the past. My analysis synthesizes important empirical work done by climate modelers and paleoclimatologists with relevant philosophical work on analogical reasoning in science.
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Notes
My reasoning here echoes Humphreys objection to the overlap argument (Humphreys, 2004). That a simulation “overlaps” some data set does not alone imply it will overlap with other data sets.
Snow-albedo processes include positive feedbacks in two directions. Increases in snow cover lead to increased albedo and lower temperatures, which leads to further increases in snow cover. Decreases in snow cover lead to decreased albedo and higher temperatures, which leads to further decreases in snow cover.
For a detailed discussion of EC, see Klein and Hall (2015).
Bartha himself articulates a causal analogy for life on mars. For the sake of simplicity, I have put forward a streamlined correlative analogy.
A controversy surrounding rates and temporal scaling has, under some interpretations, allowed carbon release rates for the Paleocene-Eocene Thermal Maximum (PETM) consistent with modern rates (Gingerich, 2019; Kemp 2015). That being said, the rates collected from such techniques are “poorly constrained” for a number of reasons, including the presumption of a single onset event for the PETM (Gingerich, 2019, p. 332–333). As such, a variety of carbon release rates are possible given our understanding of PETM, and we should withhold judgment regarding specific rates until they can be further constrained. That being said, if PETM carbon release rates turn out to resemble modern rates, the more plausible it is that PETM will afford useful partial analogies. (See Watkins (2023) for a discussion of some important philosophical challenges involved in temporal scaling.)
I argue in a later Sect. (6) that despite the apparent disavowal of analogy, the processes considered in Schmidt’s paleoclimate priorities are appropriately understood as partial analogues for the modern climate.
While it would seem odd for Currie to call the construction of a model on present and future climate a “historical” reconstruction, I don’t see that using such a descriptor generates any immediate problems. It is likely that the exquisite corpse method simply finds more application in the reconstruction of historical (understood as ‘past’) targets.
Remember that ocean circulation is driven by a number of factors, including temperature, salinity, the rotation of the earth, wind, and tidal forces. The flourishing of marine life is dependent on temperature conditions, but also the availability of oxygen, nitrogen, and other nutrients, as well as conditions pertaining to the alkalinity or acidity of the ocean.
References
Bartha, P. (2010). By parallel reasoning. Oxford University Press.
Bokulich, A. (2021). Using models to correct data: Paleodiversity and the fossil record. Synthese, 198(24), 5919–5940.
Caesar, L., Rahmstorf, S., Robinson, A., Feulner, G., & Saba, V. (2018). Observed fingerprint of a weakening Atlantic Ocean overturning circulation. Nature, 556(7700), 191–196. https://doi.org/10.1038/s41586-018-0006-5
Chapman, R., & Wylie, A. (2018). Evidential reasoning in archaeology. Bloomsbury Publishing.
Crowley, T. J. (1990). Are there any satisfactory geologic analogs for a future greenhouse warming? Journal of Climate, 3(11), 1282–1292.
Currie, A. (2016). Ethnographic analogy, the comparative method, and archaeological special pleading. Studies in History and Philosophy of Science Part A, 55, 84–94.
Currie, A. (2018). Rock, bone, and ruin: An optimist’s guide to the historical sciences. MIT Press.
Currie, A. (2021). Science & speculation. Erkenntnis, 1–23.
Dardashti, R., Thébault, K. P., & Winsberg, E. (2017). Confirmation via analogue simulation: What dumb holes could tell us about gravity. The British Journal for the Philosophy of Science.
de Abreu, L., Abrantes, F. F., Shackleton, N. J., Tzedakis, P. C., McManus, J. F., Oppo, D. W., & Hall, M. A. (2005). Ocean climate variability in the eastern North Atlantic during interglacial marine isotope stage 11: A partial analogue to the Holocene? Paleoceanography, 20(3).
Dresow, M. (2021). Measuring time with fossils: A Start-Up Problem in Scientific Practice. Philosophy of Science, 88(5), 940–950.
During, M. A., Smit, J., Voeten, D. F., Berruyer, C., Tafforeau, P., Sanchez, S., & van der Lubbe, J. H. (2022). The mesozoic terminated in boreal spring. Nature, 603(7899), 91–94.
Dutton, A., Carlson, A. E., Long, A., Milne, G. A., Clark, P. U., DeConto, R., Horton, B. P., Rahmstorf, S., & Raymo, M. E. (2015). Sea-level rise due to polar ice-sheet mass loss during past warm periods. Science, 349(6244), aaa4019.
Friedlingstein, P., Houghton, R. A., Marland, G., Hackler, J., Boden, T. A., Conway, T. J., Canadell, J. G., Raupach, M. R., Ciais, P., & Le Quéré, C. (2010). Update on CO 2 emissions. Nature Geoscience, 3(12), 811.
Gibbs, S. J., Bown, P. R., Murphy, B. H., Sluijs, A., Edgar, K. M., Pälike, H., Bolton, C. T., & Zachos, J. C. (2012). Scaled biotic disruption during early Eocene global warming events. Biogeosciences, 9(11), 4679–4688.
Gill, J. L., Williams, J. W., Jackson, S. T., Lininger, K. B., & Robinson, G. S. (2009). Pleistocene megafaunal collapse, novel plant communities, and enhanced fire regimes in North America. Science, 326(5956), 1100–1103.
Gingerich, P. D. (2019). Temporal scaling of Carbon Emission and Accumulation Rates: Modern anthropogenic emissions compared to estimates of PETM Onset Accumulation. Paleoceanography and Paleoclimatology, 34(3), 329–335. https://doi.org/10.1029/2018PA003379
Hall, A., & Qu, X. (2006). Using the current seasonal cycle to constrain snow albedo feedback in future climate change. Geophysical Research Letters, 33(3).
Hausfather, Z., Drake, H. F., Abbott, T., & Schmidt, G. A. (2020). Evaluating the performance of past climate model projections. Geophysical Research Letters, 47(1), e2019GL085378.
Hay, W. (2017). LEARNING ABOUT PAST CATASTROPHES FROM THE PRESENT PERTURBATION. https://doi.org/10.13140/RG.2.2.20155.41765
Hoffman, J. S., Carlson, A. E., Winsor, K., Klinkhammer, G. P., LeGrande, A. N., Andrews, J. T., & Strasser, J. C. (2012). Linking the 8.2 ka event and its freshwater forcing in the Labrador Sea. Geophysical Research Letters, 39(18).
Humphreys, P. (2004). Extending ourselves: Computational science, empiricism, and scientific method. Oxford University Press.
Kemp, D. B., Eichenseer, K., & Kiessling, W. (2015). Maximum rates of climate change are systematically underestimated in the geological record. Nature Communications, 6(1), 8890. https://doi.org/10.1038/ncomms9890
Klein, S. A., & Hall, A. (2015). Emergent constraints for cloud feedbacks. Current climate change reports, 1(4), 276–287.
Lee, C. T. A., Jiang, H., Dasgupta, R., & Torres, M. (2019). A Framework for understanding whole-earth Carbon Cycling. Deep Carbon: Past to Present (pp. 313–357). Cambridge University Press.
LeGrande, A. N., Schmidt, G. A., Shindell, D. T., Field, C. V., Miller, R. L., Koch, D. M., Faluvegi, G., & Hoffmann, G. (2006). Consistent simulations of multiple proxy responses to an abrupt climate change event. Proceedings of the National Academy of Sciences, 103(4), 837–842.
Li, Q., Gao, K. Q., Vinther, J., Shawkey, M. D., Clarke, J. A., D’alba, L., & Prum, R. O. (2010). Plumage color patterns of an extinct dinosaur. science, 327(5971), 1369–1372.
Liu, Z., Ciais, P., Deng, Z., Lei, R., Davis, S. J., Feng, S., & Schellnhuber, H. J. (2020). Near-real-time monitoring of global CO2 emissions reveals the effects of the COVID-19 pandemic. Nature communications, 11(1), 1–12.
Liu, Z., Deng, Z., Davis, S. J., Giron, C., & Ciais, P. (2022). Monitoring global carbon emissions in 2021. Nature Reviews Earth & Environment, 3(4), 217–219.
Pachauri, R. K., Allen, M. R., Barros, V. R., Broome, J., Cramer, W., Christ, R., Church, J. A., Clarke, L., Dahe, Q., & Dasgupta, P. (2014). Climate change 2014: Synthesis report. Contribution of Working Groups I, II and III to the fifth assessment report of the Intergovernmental Panel on Climate Change. Ipcc.
Parker, W. S. (2009). II—Confirmation and adequacy-for‐purpose in climate modelling. Aristotelian society supplementary volume (83 vol., pp. 233–249). Oxford, UK: Blackwell Publishing Ltd. 1.
Parker, W. (2011). When Climate Models agree: The significance of robust model predictions. Philosophy of Science, 78(4), 579–600.
Parker, W. (2020). Model evaluation: An adequacy-for-purpose view. Philosophy of Science, 87(3), 457–477. https://doi.org/10.1086/708691
Ruddiman, W. F., Fuller, D. Q., Kutzbach, J. E., Tzedakis, P. C., Kaplan, J. O., Ellis, E. C., Vavrus, S. J., Roberts, C. N., Fyfe, R., & He, F. (2016). Late Holocene climate: Natural or anthropogenic? Reviews of Geophysics, 54(1), 93–118.
Schmidt, G. A. (2010). Enhancing the relevance of palaeoclimate model/data comparisons for assessments of future climate change. Journal of Quaternary Science, 25(1), 79–87.
Schmidt, G. A., Annan, J. D., Bartlein, P. J., Cook, B. I., Guilyardi, E., Hargreaves, J. C., Harrison, S. P., Kageyama, M., LeGrande, A. N., Konecky, B., Lovejoy, S., Mann, M. E., Masson-Delmotte, V., Risi, C., Thompson, D., Timmermann, A., Tremblay, L. B., & Yiou, P. (2014). Using palaeo-climate comparisons to constrain future projections in CMIP5. Climate Of The Past, 10, 221–250. https://doi.org/10.5194/cp-10-221-2014
Sluijs, A., Bowen, G. J., Brinkhuis, H., Lourens, L. J., & Thomas, E. (2007). In M. Williams, et al. (Eds.), Deep-time perspectives on Climate Change: Marrying the Signal from Computer Models and Biological Proxies (pp. 323–349). London: Geological Society of London.
Suarez, C. A., Edmonds, M., & Jones, A. P. (2019). Earth catastrophes and their impact on the Carbon Cycle. Elements: An International Magazine of Mineralogy Geochemistry and Petrology, 15(5), 301–306.
Tierney, J. E., Poulsen, C. J., Montañez, I. P., Bhattacharya, T., Feng, R., Ford, H. L., & Zhang, Y. G. (2020). Past climates inform our future. Science, 370(6517), eaay3701.
Turner, D. (2007). Making prehistory: Historical science and the scientific realism debate. Cambridge University Press.
Watkins, A. (2023). “Is Contemporary Climate Change Really Unprecedented?”, Extinct: The Philosophy of Paleontology Blog: http://www.extinctblog.org/extinct/2023/3/24/is-contemporary-climate-change-really-unprecedented
Wilson, J. (2021). Two exploratory uses for general circulation models in Climate Science. Perspectives on Science, 29(4), 493–509.
Wilson, J., & Boudinot, F. G. (2022). Proxy measurement in paleoclimatology. European Journal for Philosophy of Science, 12(1), 1–20.
Wing, S. L., Gingerich, P. D., Schmitz, B., & Thomas, E. (Eds.). (Geol. Soc. Am. Spec. Pap. 369, Boulder, Colorado, 2003). Causes and Consequences of Globally Warm Climates in the Early Paleocene
Winsberg, E. (2018). Philosophy and Climate Science. Cambridge Core: Cambridge University Press. https://doi.org/10.1017/9781108164290
Wylie, A. (2017). How archaeological evidence bites back: Strategies for putting old data to work in new ways. Science Technology & Human Values, 42(2), 203–225.
Zachos, J. C., Dickens, G. R., & Zeebe, R. E. (2008). An early cenozoic perspective on greenhouse warming and carbon-cycle dynamics. nature, 451(7176), 279–283.
Acknowledgements
For helpful suggestions and discussion throughout the development of this paper, my appreciation goes to anonymous referees, F. Garrett Boudinot, Carol Cleland, Wendy Parker, Eric Winsberg, Brian Talbot, and Caleb Pickard.
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Wilson, J. Paleoclimate analogues and the threshold problem. Synthese 202, 17 (2023). https://doi.org/10.1007/s11229-023-04202-6
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DOI: https://doi.org/10.1007/s11229-023-04202-6