Modeling the global emission, transport and deposition of trace elements associated with mineral dust.

dc.contributor.authorZhang, Yen_AU
dc.contributor.authorMahowald, Nen_AU
dc.contributor.authorScanza, RAen_AU
dc.contributor.authorJournet, Een_AU
dc.contributor.authorDesboeufs, Ken_AU
dc.contributor.authorAlbani, Sen_AU
dc.contributor.authorKok, JFen_AU
dc.contributor.authorZhuang, Gen_AU
dc.contributor.authorChen, Yen_AU
dc.contributor.authorCohen, DDen_AU
dc.contributor.authorPaytan, Aen_AU
dc.contributor.authorPatey, MDen_AU
dc.contributor.authorAchterberg, EPen_AU
dc.contributor.authorEngelbrecht, JPen_AU
dc.contributor.authorFomba, KWen_AU
dc.date.accessioned2016-11-14T05:29:26Zen_AU
dc.date.available2016-11-14T05:29:26Zen_AU
dc.date.issued2015-10-12en_AU
dc.date.statistics2016-11-14en_AU
dc.description.abstractTrace element deposition from desert dust has important impacts on ocean primary productivity, the quantification of which could be useful in determining the magnitude and sign of the biogeochemical feedback on radiative forcing. However, the impact of elemental deposition to remote ocean regions is not well understood and is not currently included in global climate models. In this study, emission inventories for eight elements primarily of soil origin, Mg, P, Ca, Mn, Fe, K, Al, and Si are determined based on a global mineral data set and a soil data set. The resulting elemental fractions are used to drive the desert dust model in the Community Earth System Model (CESM) in order to simulate the elemental concentrations of atmospheric dust. Spatial variability of mineral dust elemental fractions is evident on a global scale, particularly for Ca. Simulations of global variations in the Ca = Al ratio, which typically range from around 0.1 to 5.0 in soils, are consistent with observations, suggesting that this ratio is a good signature for dust source regions. The simulated variable fractions of chemical elements are sufficiently different; estimates of deposition should include elemental variations, especially for Ca, Al and Fe. The model results have been valuated with observations of elemental aerosol concentrations from desert regions and dust events in non-dust regions, providing sights into uncertainties in the modeling approach. The ratios between modeled and observed elemental fractions range from 0.7 to 1.6, except for Mg and Mn (3.4 and 3.5, respectively). Using the soil database improves the correspondence of the spatial heterogeneity in the modeling of several elements (Ca, Al and Fe) compared to observations. Total and soluble dust element fluxes to different ocean basins and ice sheet regions have been estimated, based on the model results. The annual inputs of soluble Mg, P, Ca, Mn, Fe and K associated with dust using the mineral data set are 0.30 Tg, 16.89 Gg, 1.32 Tg, 22.84 Gg, 0.068 Tg, and 0.15 Tg to global oceans and ice sheets. © Author(s) 2015en_AU
dc.identifier.citationZhang, Y., Mahowald, N., Scanza, R. A,, Journet, E., Desboeufs, K., Albani, S., Kok, J. F., Zhuang, G., Chen, Y., Chohen D. D., Paytan, A., Patey, M. D., Archterberg, E. P., Englebrecht, J. P., & Fomba, K. W. (2014). Modeling the global emission, transport and deposition of trace elements associated with mineral dust. Biogeosciences Discuss, 11(12), 17491-17541. doi:10.5194/bgd-11-17491-2014en_AU
dc.identifier.govdoc7621en_AU
dc.identifier.issn1726-4170en_AU
dc.identifier.issue12en_AU
dc.identifier.journaltitleBiogeosciences Discussen_AU
dc.identifier.pagination17491-17541en_AU
dc.identifier.urihttp://dx.doi.org/10.5194/bgd-11-17491-2014en_AU
dc.identifier.urihttp://apo.ansto.gov.au/dspace/handle/10238/8078en_AU
dc.identifier.volume11en_AU
dc.language.isoenen_AU
dc.publisherCopernicus Publications on behalf of the European Geosciences Unionen_AU
dc.subjectDustsen_AU
dc.subjectSeasen_AU
dc.subjectMineralsen_AU
dc.subjectSoilsen_AU
dc.subjectDesertsen_AU
dc.subjectClimatesen_AU
dc.titleModeling the global emission, transport and deposition of trace elements associated with mineral dust.en_AU
dc.typeJournal Articleen_AU
Files
Collections