Publication Abstracts
Bergas-Massó et al. 2022
Bergas-Massó, E., M. Gonçalves-Ageitos, S. Myriokefalitakis,
, and C. Pérez García-Pando, 2022: How does the use of different soil mineralogical atlases impact soluble iron deposition estimates? In Air Pollution Modeling and its Application XXVIII. C. Mensink and O. Jorba, Eds., Springer Proceedings in Complexity, Springer International, pp. 249-254, doi:10.1007/978-3-031-12786-1_34.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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BibTeX Citation
@misc{be01300f, author={Bergas-Massó, E. and Gonçalves-Ageitos, M. and Myriokefalitakis, S. and Miller, R. L. and Pérez García-Pando, C.}, editor={Mensink, C. and Jorba, O.}, title={How does the use of different soil mineralogical atlases impact soluble iron deposition estimates?}, booktitle={Air Pollution Modeling and its Application XXVIII}, year={2022}, pages={249--254}, publisher={Springer International}, address={Cham}, series={Springer Proceedings in Complexity}, doi={10.1007/978-3-031-12786-1_34}, isbn={978-3-031-12786-1} }
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RIS Citation
TY - CONF ID - be01300f AU - Bergas-Massó, E. AU - Gonçalves-Ageitos, M. AU - Myriokefalitakis, S. AU - Miller, R. L. AU - Pérez García-Pando, C. ED - Mensink, C. ED - Jorba, O. PY - 2022 TI - How does the use of different soil mineralogical atlases impact soluble iron deposition estimates? BT - Air Pollution Modeling and its Application XXVIII T3 - Springer Proceedings in Complexity SP - 249 EP - 254 DO - 10.1007/978-3-031-12786-1_34 SN - 978-3-031-12786-1 PB - Springer International CY - Cham ER -
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