Spatial biases in oxygen-based Phanerozoic seawater temperature reconstructions

• Mineral δ 18 O reflects temperature and composition of seawater (δ 18 O sw ). • We use climate models and the co-variation of δ 18 O sw and salinity. • We estimate spatial variability in δ 18 O sw during the Phanerozoic. • We quantify temperature reconstruction bias resulting from neglecting local δ 18 O sw . • We identify regions and periods of strongest temperature reconstruction bias. Stable oxygen isotopes (δ 18 O) are routinely used to reconstruct sea-surface temperatures (SSTs) in the geological past, with mineral δ 18 O values reflecting a combination of the temperature and oxygen isotope composition of seawater (δ 18 O sw ). Temporal variation of mean-ocean δ 18 O sw is usually accounted for following estimates of land-ice volume. Spatial variations in δ 18 O sw , however, are often neglected or corrected using calibrations derived from the present-day or recent past. Geochemical methods for constraining δ 18 O sw and isotope-enabled general circulation model (GCM) simulations are still technically challenging. This lack of constraints on ancient δ 18 O sw is a substantial source of uncertainty for SST reconstructions. Here we use the co-variation of δ 18 O sw and seawater salinity, together with GCM simulations of ocean salinity, to propose estimations of spatial variability in δ 18 O sw over the Phanerozoic. Sensitivity tests of the δ 18 O sw -salinity relationship and climate model, and comparison with results of isotope-enabled GCMs, suggest that our calculations are robust at first order. We show that continental configuration exerts a primary control on δ 18 O sw spatial variability. Complex ocean basin geometries in periods younger than 66 Ma lead to strong inter-basinal contrasts in δ 18 O sw . Latitudinal SST gradients may be steeper than previously suggested during most of the Mesozoic and Cenozoic. This work has limitations, with δ 18 O sw -salinity relationships being less reliable in both low-latitude epicontinental settings and high-latitude regions of deep-water formation. Whilst our calculations are limited use in correcting δ 18 O measurements for local δ 18 O sw , they identify the time slices and paleogeographical regions that should be prioritized for future work using isotope-enabled GCMs.

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Publication Details

Journal
Earth and Planetary Science Letters
Published
2025-05-09
DOI
https://doi.org/10.1016/j.epsl.2025.119418
Citations
2
Primary Topic
Paleontology and Stratigraphy of Fossils
Type
article
Field-Weighted Citation Impact
8.66

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article

Spatial biases in oxygen-based Phanerozoic seawater temperature reconstructions

Arnaud Brayard, Monica Granados Martinez, Ethan L. Grossman, Yannick Donnadieu et al.
2 citations
Earth and Planetary Science Letters
Paleontology and Stratigraphy of Fossils
8.66
article

Spatial biases in oxygen-based Phanerozoic seawater temperature reconstructions

Arnaud Brayard, Monica Granados Martinez, Ethan L. Grossman, Yannick Donnadieu, Thomas Letulle, Michael M. Joachimski, Emmanuelle Pucéat, Alexandre Pohl, Thomas W. Wong Hearing, Daniel John Lunt, Paul J. Valdes, Guillaume SUAN, Guillaume Le Hir
article en
2 citations

Abstract

• Mineral δ 18 O reflects temperature and composition of seawater (δ 18 O sw ). • We use climate models and the co-variation of δ 18 O sw and salinity. • We estimate spatial variability in δ 18 O sw during the Phanerozoic. • We quantify temperature reconstruction bias resulting from neglecting local δ 18 O sw . • We identify regions and periods of strongest temperature reconstruction bias. Stable oxygen isotopes (δ 18 O) are routinely used to reconstruct sea-surface temperatures (SSTs) in the geological past, with mineral δ 18 O values reflecting a combination of the temperature and oxygen isotope composition of seawater (δ 18 O sw ). Temporal variation of mean-ocean δ 18 O sw is usually accounted for following estimates of land-ice volume. Spatial variations in δ 18 O sw , however, are often neglected or corrected using calibrations derived from the present-day or recent past. Geochemical methods for constraining δ 18 O sw and isotope-enabled general circulation model (GCM) simulations are still technically challenging. This lack of constraints on ancient δ 18 O sw is a substantial source of uncertainty for SST reconstructions. Here we use the co-variation of δ 18 O sw and seawater salinity, together with GCM simulations of ocean salinity, to propose estimations of spatial variability in δ 18 O sw over the Phanerozoic. Sensitivity tests of the δ 18 O sw -salinity relationship and climate model, and comparison with results of isotope-enabled GCMs, suggest that our calculations are robust at first order. We show that continental configuration exerts a primary control on δ 18 O sw spatial variability. Complex ocean basin geometries in periods younger than 66 Ma lead to strong inter-basinal contrasts in δ 18 O sw . Latitudinal SST gradients may be steeper than previously suggested during most of the Mesozoic and Cenozoic. This work has limitations, with δ 18 O sw -salinity relationships being less reliable in both low-latitude epicontinental settings and high-latitude regions of deep-water formation. Whilst our calculations are limited use in correcting δ 18 O measurements for local δ 18 O sw , they identify the time slices and paleogeographical regions that should be prioritized for future work using isotope-enabled GCMs.

Earth and Planetary Science LettersVol. 663
Université Claude Bernard Lyon 1 (FR), Centre National de la Recherche Scientifique (FR), University of Padua (IT), Institut de physique du globe de Paris (FR), University of Leicester (GB), Friedrich-Alexander-Universität Erlangen-Nürnberg (DE), Collège de France (FR), Université Paris Cité (FR), Aix-Marseille Université (FR), University of Bristol (GB), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR), Géosciences Rennes (FR), Centre de Recherche et d’Enseignement de Géosciences de l’Environnement (FR), Laboratoire de Géologie de Lyon : Terre, Planètes et Environnement (FR), Biogéosciences (FR), Institut de Recherche pour le Développement (FR), Université de Rennes (FR), Texas A&M University (US)
Leverhulme Trust, Agence Nationale de la Recherche, Centre National de la Recherche Scientifique, Grand Équipement National De Calcul Intensif, Institut national des sciences de l'Univers
Life below water
Openalex Percentile: Top 4%
Paleontology and Stratigraphy of Fossils
8.66
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