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Journal Article

Rethinking Craig and Gordon’s approach to modeling isotopic compositions of marine boundary layer vapor

MPS-Authors
/persons/resource/persons225869

Fan,  Naixin
Model-Data Integration, Dr. Nuno Carvalhais, Department Biogeochemical Integration, Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society;

External Ressource
Fulltext (public)

BGC2916.pdf
(Publisher version), 5MB

Supplementary Material (public)

BGC2916s1.pdf
(Supplementary material), 210KB

Citation

Feng, X., Posmentier, E. S., Sonder, L. J., & Fan, N. (2019). Rethinking Craig and Gordon’s approach to modeling isotopic compositions of marine boundary layer vapor. Atmospheric Chemistry and Physics, 19, 4005-4024. doi:10.5194/acp-19-4005-2019.


Cite as: http://hdl.handle.net/21.11116/0000-0002-168F-5
Abstract
We develop a one-dimensional (1D) steady state isotope marine boundary layer (MBL) model that includes meteorologically important features missing in Craig and Gordon type models, namely height-dependent diffusion/mixing, lifting to deliver air to the free troposphere, and convergence of subsiding air. Kinetic isotopic fractionation results from this height-dependent diffusion that starts as pure molecular diffusion at the air-water interface and increases with height due to turbulent eddies. Convergence causes mixing of dry, isotopically depleted air with ambient air. Model results fill a quadrilateral in δD-δ18O space, of which three boundaries are respectively defined by 1) vapor in equilibrium with various sea surface temperatures (SSTs); 2) mixing of vapor in equilibrium with seawater and vapor in subsiding air; and 3) vapor that has experienced maximum possible kinetic fractionation. Model processes also cause variations in d-excess of MBL vapor. In particular, mixing of relatively high d-excess descending/converging air into the MBL increases d-excess, even without kinetic isotope fractionation. The model is tested by comparison with seven datasets of marine vapor isotopic ratios, with excellent correspondence. About 95% of observational data fall within the quadrilateral predicted by the model. The distribution of observations also highlights the significant influence of vapor from nearby converging descending air on isotopic variations within the MBL. At least three factors may explain the ~5% of observations that fall slightly outside of the predicted regions in δD-δ18O and d-excess-δ18O space: 1) variations in seawater isotopic ratios, 2) variations in isotopic composition of subsiding air, and 3) influence of sea spray.