Abstract
Atmospheric deposition is the primary input of soluble iron (Fe) in remote regions of the open ocean. Fe constitutes a fundamental micro-nutrient for marine biota, affecting biogeochemical cycles and ultimately carbon uptake. Fe is emitted to the atmosphere primarily from dust sources. Fe solubility at emission is origin-dependent, being mostly insoluble when associated with dust minerals. Earth System Models (ESMs) commonly assume that dust aerosols have a globally uniform composition, neglecting known regional variations in soil mineralogy. This work assesses the implications of soil composition uncertainties on the bio-available Fe delivery to the ocean by using a state-of-the-art ESM with a detailed atmospheric Fe cycle (EC-Earth3-Iron). We run two 1-year simulations considering two different Soil Mineralogy Atlases (SMAs). Our results reveal a non-negligible impact of soil mineralogy uncertainties on soluble Fe estimates. By only changing the source of information for the soil composition and updating the Fe content in minerals, we find differences of 31.5% in mineral Fe emissions and 26.7% in soluble Fe deposition budgets.
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Acknowledgements
This work was funded by the Ministerio de Economía y Competitividad (MINECO) as part of the NUTRIENT project (CGL2017-88911-R). The research leading to this work has also received support from the ERC Consolidator Grant “FRAGMENT” (grant agreement No. 773051), the AXA Chair on Sand and Dust Storms and the National Observatory of Athens research grant (nº 5065). Finally, we thankfully acknowledge the RES AECT-2020-3-0020 and PRACE projects to grant this work with computer resources and the technical support provided by the BSC and the Computational Earth Sciences team of the Earth Sciences Department.
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Bergas-Massó, E., Gonçalves-Ageitos, M., Myriokefalitakis, S., Miller, R.L., García-Pando, C.P. (2022). How Does the Use of Different Soil Mineralogical Atlases Impact Soluble Iron Deposition Estimates?. In: Mensink, C., Jorba, O. (eds) Air Pollution Modeling and its Application XXVIII. ITM 2021. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-031-12786-1_34
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DOI: https://doi.org/10.1007/978-3-031-12786-1_34
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