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Reviews and syntheses: the GESAMP atmospheric iron deposition model intercomparison study


Myriokefalitakis, S and Ito, A and Kanakidou, M and Nenes, A and Krol, MC and Mahowald, NM and Scanza, RA and Hamilton, DS and Johnson, MS and Meskhidze, N and Kok, JF and Guieu, C and Baker, AR and Jickells, TD and Sarin, MM and Bikkina, S and Shelley, R and Bowie, A and Perron, MM and Duce, RA, Reviews and syntheses: the GESAMP atmospheric iron deposition model intercomparison study, Biogeosciences, 15 pp. 6659-6684. ISSN 1726-4170 (2018) [Refereed Article]


Copyright Statement

© Author(s) 2018. Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0)

DOI: doi:10.5194/bg-15-6659-2018


The model intercomparison analysis indicates that the representation of the atmospheric Fe cycle varies among models, in terms of both the magnitude of natural and combustion Fe emissions as well as the complexity of atmospheric processing parameterizations of Fe-containing aerosols. The model comparison with aerosol Fe observations over oceanic regions indicates that most models overestimate surface level TFe mass concentrations near dust source regions and tend to underestimate the low concentrations observed in remote ocean regions. All models are able to simulate the tendency of higher Fe concentrations near and downwind from the dust source regions, with the mean normalized bias for the Northern Hemisphere (∼14), larger than that of the Southern Hemisphere (∼2.4) for the ensemble model mean. This model intercomparison and model–observation comparison study reveals two critical issues in LFe simulations that require further exploration: (1) the Fe-containing aerosol size distribution and (2) the relative contribution of dust and combustion sources of Fe to labile Fe in atmospheric aerosols over the remote oceanic regions.

Item Details

Item Type:Refereed Article
Keywords:GESAMP, atmospheric iron deposition, model intercomparison
Research Division:Earth Sciences
Research Group:Oceanography
Research Field:Chemical oceanography
Objective Division:Environmental Management
Objective Group:Air quality, atmosphere and weather
Objective Field:Atmospheric composition (incl. greenhouse gas inventory)
UTAS Author:Bowie, A (Professor Andrew Bowie)
UTAS Author:Perron, MM (Miss Morgane Perron)
ID Code:133883
Year Published:2018
Funding Support:Australian Research Council (FT130100037)
Web of Science® Times Cited:47
Deposited By:Oceans and Cryosphere
Deposited On:2019-07-12
Last Modified:2019-08-01
Downloads:21 View Download Statistics

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