By Stéphane Blain, Alessandro Tagliabue
This publication offers an up to the moment view of iron biogeochemistry within the ocean. It encompasses the outline of iron speciation, the analytical tools used to degree the several iron kinds in seawater and the various iron biogeochemical types.
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MOO 08a, AUM 15]). These models are able to respond to global- or basin-scale questions over annual to centennial timescales. g. [TAG 06]). These models usually have a higher spatial resolution than global models, but are not usually run for longer than decadal timescales due to assumptions regarding their boundary conditions (fluxes at the “edges” of the model domain). g. [YE 11]). These models are very computationally efficient, which makes them ideal for testing a wide range of different scenarios.
G. [TAG 09a]). These models are well suited to assessing the complex issues surrounding ocean chemistry, as they can explicitly resolve rapid chemical processes. e. how quickly simulations can be performed), which places constraints on the complexity with which the iron cycle can be treated. In general, the iron cycle complexity increases from intermediate complexity to global, regional, one-dimensional to process-based models, and the upper limit is ultimately controlled by the models’ spatial and temporal resolution.
E. by rain or snow) deposition, which is affected by the size of dust particles – with larger particles assumed to fall out closer to the source [JIC 05]. 1). Anthropogenic activities may have an important impact on dust Fe supply, with industrial processes introducing new sources and producing dust with different chemical characteristics [LUO 08]. 5 and 90 Gmol year−1. Models generally take their dust deposition field from an aerosol model that accounts for factors such as dust production, chemical processing in the atmosphere and deposition [HUN 11] as a surface boundary condition.