Unveiling Climate Complexity: A Multiscale Geological–Molecular Perspective

Authors

  • Paul Mazza University of Florence - Italy Author

DOI:

https://doi.org/10.70917/jcc-2026-005

Keywords:

deep-time climate dynamics, narrative review, hierarchical climate forcing, paleoclimate archives, Milankovitch cycles, solar variability, climate sensitivity, Earth system feedbacks

Abstract

This narrative review examines the conceptual foundations of the term “climate” and argues for its rigorous redefinition within a geopaleontological framework. Geological and paleoclimatic archives demonstrate that climate, in the Earth-system sense, represents a long-term emergent state governed primarily by orbital dynamics, tectonic boundary conditions, heliophysical variability, ocean circulation reorganizations, and large-scale biogeochemical feedbacks operating across multi-millennial to multimillion-year timescales. In contrast, contemporary usage often applies the term “climate change” to centennial-scale atmospheric trends derived from instrumental records spanning little more than a century. This scale compression generates conceptual ambiguity by conflating meteorological variability, sub-climatic oscillations, and geological climate states. Drawing upon paleoclimate phase relationships, stratigraphic evidence, Milanković orbital theory, molecular greenhouse-gas physics, and modeling constraints, this review proposes a hierarchical temporal framework distinguishing meteorological (decadal), sub-climatic (centennial), and climatic (millennial and longer) domains. Within this framework, greenhouse gases are interpreted as radiative agents operating within the shorter temporal strata of the Earth system, while long-term climatic regimes remain structured primarily by astronomical and geophysical boundary conditions. This distinction does not deny measurable radiative perturbations but clarifies their position within a multiscale system. By restoring climate to its geological context, the study aims to resolve definitional inconsistencies and promote greater epistemological coherence in climate science and its applications.

References

Mudelsee, M., Bickert, T., Lear, C. H., & Lohmann, G. (2014). Cenozoic climate changes. Reviews of Geophysics, 52, 333–374. https://doi.org/10.1002/2013RG000440 DOI: https://doi.org/10.1002/2013RG000440

Zachos, J. C., Pagani, M., Sloan, L., Thomas, E., & Billups, K. (2001). Trends, rhythms, and aberrations in global climate 65 Ma to present. Science, 292(5517), 686–693. https://doi.org/10.1126/science.1059412 DOI: https://doi.org/10.1126/science.1059412

Ruddiman, W. F. (2006). Orbital changes and climate. Quaternary Science Reviews, 25, 3092–3112. https://doi.org/10.1016/j.quascirev.2006.07.006 DOI: https://doi.org/10.1016/j.quascirev.2006.09.001

Mazza, P. (2025). Reassessing climate variability through geological time: Implications for environmental management and hazard mitigation. Italian Journal of Engineering Geology and Environment, 2, 93–114. https://doi.org/10.4408/IJEGE.2025-02.O-06

Petit, J. R., et al. (1999). Climate and atmospheric history of the past 420,000 years from the Vostok ice core, Antarctica. Nature, 399, 429–436. https://doi.org/10.1038/20859 DOI: https://doi.org/10.1038/20859

Mudelsee, M. (2001). Phase relations among CO₂, temperature, and ice volume. Quaternary Science Reviews, 20, 583–589. https://doi.org/10.1016/S0277-3791(00)00141-2 DOI: https://doi.org/10.1016/S0277-3791(00)00167-0

Kawamura, K., et al. (2007). Northern Hemisphere forcing of Antarctic climate. Nature, 448, 912–916. https://doi.org/10.1038/nature05903 DOI: https://doi.org/10.1038/nature06015

Hays, J. D., Imbrie, J., & Shackleton, N. J. (1976). Variations in the Earth's orbit: Pacemaker of the Ice Ages. Science, 194, 1121–1132. https://doi.org/10.1126/science.194.4270.1121 DOI: https://doi.org/10.1126/science.194.4270.1121

Berger, A., Loutre, M. F., & Mélice, J. L. (2006). Equatorial insolation: From precession harmonics to eccentricity frequencies. Climate of the Past, 2, 131–136. https://doi.org/10.5194/cp-2-131-2006 DOI: https://doi.org/10.5194/cp-2-131-2006

Cheng, H., et al. (2022). Milankovitch theory and monsoon. The Innovation, 3(6), 100338. https://doi.org/10.1016/j.xinn.2022.100338 DOI: https://doi.org/10.1016/j.xinn.2022.100338

Ganopolski, A. (2024). Toward generalized Milankovitch theory. Climate of the Past, 20, 151–185. https://doi.org/10.5194/cp-20-151-2024 DOI: https://doi.org/10.5194/cp-20-151-2024

Lisiecki, L., & Raymo, M. (2005). A Pliocene–Pleistocene stack of 57 δ¹⁸O records. Paleoceanography, 20, PA1003. https://doi.org/10.1029/2004PA001071 DOI: https://doi.org/10.1029/2004PA001071

Wang, R., et al. (2024). Milankovitch sedimentary cycle identification. Frontiers in Earth Science, 12, 1390929. https://doi.org/10.3389/feart.2024.1390929 DOI: https://doi.org/10.3389/feart.2024.1390929

Shaviv, N. J. (2003). The spiral arm theory of climate. New Astronomy, 8, 39–77. https://doi.org/10.1016/S1384-1076(02)00223-8 DOI: https://doi.org/10.1016/S1384-1076(02)00193-8

Soon, W., Connolly, R., & Connolly, M. (2015). Re-evaluating solar variability. Earth-Science Reviews, 150, 409–452. https://doi.org/10.1016/j.earscirev.2015.08.010 DOI: https://doi.org/10.1016/j.earscirev.2015.08.010

Zharkova, V. V., et al. (2015). Heartbeat of the Sun from PCA. Scientific Reports, 5, 15689. https://doi.org/10.1038/srep15689 DOI: https://doi.org/10.1038/srep15689

Palmer, T. N., Shutts, G. J., & Hagedorn, R. (2000). Representing model uncertainty. Annual Review of Earth and Planetary Sciences, 28, 95–123. https://doi.org/10.1146/annurev.earth.28.1.95

Stainforth, D. A., et al. (2005). Uncertainty in climate response. Nature, 433, 403–406. https://doi.org/10.1038/nature03301 DOI: https://doi.org/10.1038/nature03301

Stainforth, D. A., Allen, M. R., Tredger, E. R., & Smith, L. A. (2007a). Confidence and uncertainty. Philosophical Transactions A, 365, 2145–2161. https://doi.org/10.1098/rsta.2007.2074 DOI: https://doi.org/10.1098/rsta.2007.2074

Stainforth, D. A., et al. (2007b). Issues in interpreting model ensembles. Philosophical Transactions A, 365, 2163–2177. https://doi.org/10.1098/rsta.2007.2076 DOI: https://doi.org/10.1098/rsta.2007.2073

Edwards, N. R., Cameron, D., & Rougier, J. (2011). Precalibrating an intermediate complexity climate model. Climate Dynamics, 37, 1469–1482. https://doi.org/10.1007/s00382-010-0921-9 DOI: https://doi.org/10.1007/s00382-010-0921-0

Edwards, P. N. (2013). A vast machine: Computer models, climate data, and the politics of global warming. MIT Press.

Knutti, R., & Sedláček, J. (2013). Robustness and uncertainties in CMIP5 projections. Nature Climate Change, 3, 369–373. https://doi.org/10.1038/nclimate1716 DOI: https://doi.org/10.1038/nclimate1716

Milanković, M. (1941). Kanon der Erdbestrahlung und seine Anwendung auf das Eiszeitenproblem. Royal Serbian Academy of Sciences.

Saltzman, B. (2002). Dynamical paleoclimatology. Academic Press.

Imbrie, J., et al. (1992). On the structure and origin of major glaciation cycles. Paleoceanography, 7, 701–738. https://doi.org/10.1029/92PA02253 DOI: https://doi.org/10.1029/92PA02253

Raisbeck, G. M., et al. (1990). ¹⁰Be evidence for solar variability. Nature, 343, 421–424. https://doi.org/10.1038/343421a0 DOI: https://doi.org/10.1038/343424a0

Bond, G., et al. (2001). Persistent solar influence on North Atlantic climate. Science, 294, 2130–2136. https://doi.org/10.1126/science.1065680 DOI: https://doi.org/10.1126/science.1065680

Usoskin, I. G., Solanki, S. K., & Kovaltsov, G. A. (2007). Grand minima and maxima of solar activity. Astronomy and Astrophysics, 471, 301–309. https://doi.org/10.1051/0004-6361:20077704 DOI: https://doi.org/10.1051/0004-6361:20077704

Usoskin, I. G., Sokoloff, D., & Moss, D. (2009). Grand minima and the mean-field dynamo. Solar Physics, 254, 345–355. https://doi.org/10.1007/s11207-008-9307-6 DOI: https://doi.org/10.1007/s11207-008-9293-6

Zharkova, V. (2020). Modern Grand Solar Minimum. Temperature, 7, 217–222. https://doi.org/10.1080/23328940.2020.1796243 DOI: https://doi.org/10.1080/23328940.2020.1796243

Solanki, S. K., et al. (2004). Unusual solar activity during the past century. Nature, 431, 1084–1087. https://doi.org/10.1038/nature02995 DOI: https://doi.org/10.1038/nature02995

Bony, S., et al. (2006). Climate feedback processes. Journal of Climate, 19, 3445–3482. https://doi.org/10.1175/JCLI3819.1 DOI: https://doi.org/10.1175/JCLI3819.1

Ghil, M. (2019). A century of nonlinearity in the geosciences. Earth and Space Science, 6, 1007–1042. https://doi.org/10.1029/2019EA000599 DOI: https://doi.org/10.1029/2019EA000599

Fischer, H., et al. (1999). Ice core records of atmospheric CO₂. Science, 283, 1712–1714. https://doi.org/10.1126/science.283.5408.1712 DOI: https://doi.org/10.1126/science.283.5408.1712

Caillon, N., et al. (2003). Timing of atmospheric CO₂ changes. Science, 299, 1728–1731. https://doi.org/10.1126/science.1078758 DOI: https://doi.org/10.1126/science.1078758

Scotese, C. R., et al. (2021). Phanerozoic paleotemperatures. Earth-Science Reviews, 215, 103503. https://doi.org/10.1016/j.earscirev.2021.103503 DOI: https://doi.org/10.1016/j.earscirev.2021.103503

Lowe, J. J., & Walker, M. J. (2015). Reconstructing Quaternary environments. Routledge. DOI: https://doi.org/10.4324/9781315844312

Scafetta, N., et al. (2016). Astronomical origin of Hallstatt oscillation. Earth-Science Reviews, 162, 24–43. https://doi.org/10.1016/j.earscirev.2016.09.015 DOI: https://doi.org/10.1016/j.earscirev.2016.09.004

Sicre, M.-A., et al. (2008). Decadal SST variability off North Iceland. Earth and Planetary Science Letters, 268, 137–142. https://doi.org/10.1016/j.epsl.2007.12.038 DOI: https://doi.org/10.1016/j.epsl.2008.01.011

IPCC. (2021). Climate change 2021: The physical science basis. Cambridge University Press. https://doi.org/10.1017/9781009157896 DOI: https://doi.org/10.1017/9781009157896

Levitus, S., et al. (2012). World ocean heat content. Geophysical Research Letters, 39, L10603. https://doi.org/10.1029/2012GL051106 DOI: https://doi.org/10.1029/2012GL051106

Cheng, L., et al. (2017). Improved estimates of ocean heat content. Science Advances, 3, e1601545. https://doi.org/10.1126/sciadv.1601545 DOI: https://doi.org/10.1126/sciadv.1601545

Held, I. M., & Soden, B. J. (2000). Water vapor feedback. Annual Review of Energy and the Environment, 25, 441–475. https://doi.org/10.1146/annurev.energy.25.1.441 DOI: https://doi.org/10.1146/annurev.energy.25.1.441

Sherwood, S. C., et al. (2020). Earth's climate sensitivity. Reviews of Geophysics, 58, e2019RG000678. https://doi.org/10.1029/2019RG000678 DOI: https://doi.org/10.1029/2019RG000678

Bony, S., & Dufresne, J.-L. (2005). Marine boundary layer clouds. Geophysical Research Letters, 32, L20806. https://doi.org/10.1029/2005GL023851 DOI: https://doi.org/10.1029/2005GL023851

Zelinka, M. D., et al. (2020). Higher climate sensitivity in CMIP6. Geophysical Research Letters, 47, e2019GL085782. https://doi.org/10.1029/2019GL085782 DOI: https://doi.org/10.1029/2019GL085782

Hill, P. G., et al. (2025). Cloud feedback uncertainty. Geophysical Research Letters, 52, e2025GL117183. https://doi.org/10.1029/2025GL117183 DOI: https://doi.org/10.1029/2025GL117183

Goody, R. M., & Yung, Y. L. (1995). Atmospheric radiation. Oxford University Press.

Petty, G. W. (2006). A first course in atmospheric radiation. Sundog Publishing.

Shine, K. P., & Perry, G. E. (2023). Radiative forcing decomposition. Quarterly Journal of the Royal Meteorological Society, 149, 1856–1866. https://doi.org/10.1002/qj.4469 DOI: https://doi.org/10.1002/qj.4485

Zhong, W., & Haigh, J. D. (2013). Greenhouse effect and CO₂. Weather, 68, 100–105. https://doi.org/10.1002/wea.2072 DOI: https://doi.org/10.1002/wea.2072

Mlynczak, M., et al. (2016). Spectroscopic foundation of radiative forcing. Geophysical Research Letters, 43, 5318–5325. https://doi.org/10.1002/2016GL068887 DOI: https://doi.org/10.1002/2016GL068837

Myhre, G., et al. (1998). Radiative forcing estimates. Geophysical Research Letters, 25, 2715–2718. https://doi.org/10.1029/98GL01908 DOI: https://doi.org/10.1029/98GL01908

Etminan, M., et al. (2016). Revised radiative forcing of CO₂. Geophysical Research Letters, 43, 612–614. https://doi.org/10.1002/2016GL071930 DOI: https://doi.org/10.1002/2016GL071930

Shine, K. P., Ptashnik, I. V., & Radel, G. (2012). Water vapour continuum. Surveys in Geophysics, 33, 535–555. https://doi.org/10.1007/s10712-011-9170-2 DOI: https://doi.org/10.1007/s10712-011-9170-y

Cramer, W., et al. (2001). Terrestrial ecosystem response. Global Change Biology, 7, 357–373. https://doi.org/10.1046/j.1365-2486.2001.00376.x DOI: https://doi.org/10.1046/j.1365-2486.2001.00383.x

Gitz, V., & Ciais, P. (2003). Land-use change amplification. Comptes Rendus Geoscience, 335, 1179–1198. https://doi.org/10.1016/j.crte.2003.09.005 DOI: https://doi.org/10.1016/j.crte.2003.10.010

Cox, P. M., et al. (2004). Amazonian forest dieback. Theoretical and Applied Climatology, 78, 137–156. https://doi.org/10.1007/s00704-004-0049-4 DOI: https://doi.org/10.1007/s00704-004-0049-4

Bondeau, A., et al. (2007). Agriculture and carbon balance. Global Change Biology, 13, 679–706. https://doi.org/10.1111/j.1365-2486.2006.01318.x DOI: https://doi.org/10.1111/j.1365-2486.2006.01305.x

Piao, S. L., et al. (2012). Carbon budget of East Asia. Biogeosciences, 9, 3571–3586. https://doi.org/10.5194/bg-9-3571-2012 DOI: https://doi.org/10.5194/bg-9-3571-2012

Schaphoff, S., et al. (2013). Permafrost soils and carbon budget. Environmental Research Letters, 8, 014026. https://doi.org/10.1088/1748-9326/8/1/014026 DOI: https://doi.org/10.1088/1748-9326/8/1/014026

Lorenz, E. N. (1963). Deterministic nonperiodic flow. Journal of the Atmospheric Sciences, 20, 130–141. https://doi.org/10.1175/1520-0469(1963)020<0130:DNF>2.0.CO;2 DOI: https://doi.org/10.1175/1520-0469(1963)020<0130:DNF>2.0.CO;2

Deser, C., et al. (2012). Internal variability and projection uncertainty. Climate Dynamics, 38, 527–546. https://doi.org/10.1007/s00382-010-0977-6 DOI: https://doi.org/10.1007/s00382-010-0977-x

Edwards, N. R. (2010). Modelling uncertainties. Geoscientific Model Development, 3, 231–232. https://doi.org/10.5194/gmd-3-231-2010

Stouffer, R. J. (2004). Timescales of climate response. Journal of Climate, 17, 209–217. https://doi.org/10.1175/1520-0442(2004)017<0209:TSOCR>2.0.CO;2 DOI: https://doi.org/10.1175/1520-0442(2004)017<0209:TSOCR>2.0.CO;2

WCRP. (2019). WCRP strategic plan 2019–2028.

Crowley, T. J. (1989). Paleoclimate perspectives. In Berger et al. (Eds.), Climate and geo-sciences. Springer.

IPCC. (2022). Climate change 2022: Impacts, adaptation, and vulnerability. https://doi.org/10.1017/9781009325844 DOI: https://doi.org/10.1017/9781009325844

Crowley, T. J., & Kim, K. Y. (1996). Proxy records and solar forcing. Geophysical Research Letters, 23, 359–362. https://doi.org/10.1029/96GL00205 DOI: https://doi.org/10.1029/96GL00243

Haug, G. H., & Tiedemann, R. (1998). Formation of the Isthmus of Panama. Nature, 393, 673–676. https://doi.org/10.1038/30533 DOI: https://doi.org/10.1038/31447

Valentine, J. W. (2004). On the origin of phyla. University of Chicago Press.

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2026-05-06 — Updated on 2026-10-11

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Unveiling Climate Complexity: A Multiscale Geological–Molecular Perspective. (2026). Journal of Climate Change, 12(1), 14. https://doi.org/10.70917/jcc-2026-005 (Original work published 2026)