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Abstract Iron emissions from human activities, such as oil combustion and smelting, affect the Earth's climate and marine ecosystems. These emissions are difficult to quantify accurately due to a lack of observations, particularly in remote ocean regions. In this study, we used long‐term, near‐source observations in areas with a dominance of anthropogenic iron emissions in various parts of the world to better estimate the total amount of anthropogenic iron emissions. We also used a statistical source apportionment method to identify the anthropogenic components and their sub‐sources from bulk aerosol observations in the United States. We find that the estimates of anthropogenic iron emissions are within a factor of 3 in most regions compared to previous inventory estimates. Under‐ or overestimation varied by region and depended on the number of sites, interannual variability, and the statistical filter choice. Smelting‐related iron emissions are overestimated by a factor of 1.5 in East Asia compared to previous estimates. More long‐term iron observations and the consideration of the influence of dust and wildfires could help reduce the uncertainty in anthropogenic iron emissions estimates. 

Abstract. Aerosol particles are an important part of the Earth climate system, and their concentrations are spatially and temporally heterogeneous, as well as being variable in size and composition. Particles can interact with incoming solar radiation and outgoing longwave radiation, change cloud properties, affect photochemistry, impact surface air quality, change the albedo of snow and ice, and modulate carbon dioxide uptake by the land and ocean. High particulate matter concentrations at the surface represent an important public health hazard. There are substantial data sets describing aerosol particles in the literature or in public health databases, but they have not been compiled for easy use by the climate and air quality modeling community. Here, we present a new compilation of PM2.5 and PM10 surface observations, including measurements of aerosol composition, focusing on the spatial variability across different observational stations. Climate modelers are constantly looking for multiple independent lines of evidence to verify their models, and in situ surface concentration measurements, taken at the level of human settlement, present a valuable source of information about aerosols and their human impacts complementarily to the column averages or integrals often retrieved from satellites. We demonstrate a method for comparing the data sets to outputs from global climate models that are the basis for projections of future climate and large-scale aerosol transport patterns that influence local air quality. Annual trends and seasonal cycles are discussed briefly and are included in the compilation. Overall, most of the planet or even the land fraction does not have sufficient observations of surface concentrations – and, especially, particle composition – to characterize and understand the current distribution of particles. Climate models without ammonium nitrate aerosols omit ∼ 10 % of the globally averaged surface concentration of aerosol particles in both PM2.5 and PM10 size fractions, with up to 50 % of the surface concentrations not being included in some regions. In these regions, climate model aerosol forcing projections are likely to be incorrect as they do not include important trends in short-lived climate forcers. 

Abstract The role of manganese (Mn) in ecosystem carbon (C) biogeochemical cycling is gaining increasing attention. While soil Mn is mainly derived from bedrock, atmospheric deposition could be a major source of Mn to surface soils, with implications for soil C cycling. However, quantification of the atmospheric Mn cycle, which comprises emissions from natural (desert dust, sea salts, volcanoes, primary biogenic particles, and wildfires) and anthropogenic sources (e.g., industrialization and land‐use change due to agriculture), transport, and deposition, remains uncertain. Here, we use compiled emission data sets for each identified source to model and quantify the atmospheric Mn cycle by combining an atmospheric model and in situ atmospheric concentration measurements. We estimated global emissions of atmospheric Mn in aerosols (<10 μm in aerodynamic diameter) to be 1,400 Gg Mn year⁻¹. Approximately 31% of the emissions come from anthropogenic sources. Deposition of the anthropogenic Mn shortened Mn “pseudo” turnover times in 1‐m‐thick surface soils (ranging from 1,000 to over 10,000,000 years) by 1–2 orders of magnitude in industrialized regions. Such anthropogenic Mn inputs boosted the Mn‐to‐N ratio of the atmospheric deposition in non‐desert dominated regions (between 5 × 10⁻⁵and 0.02) across industrialized areas, but that was still lower than soil Mn‐to‐N ratio by 1–3 orders of magnitude. Correlation analysis revealed a negative relationship between Mn deposition and topsoil C density across temperate and (sub)tropical forests, consisting with atmospheric Mn deposition enhancing carbon respiration as seen in in situ biogeochemical studies. 

Abstract. Isoprene-derived secondary organic aerosol (iSOA) is a significantcontributor to organic carbon (OC) in some forested regions, such astropical rainforests and the Southeastern US. However, its contribution toorganic aerosol in urban areas that have high levels of anthropogenicpollutants is poorly understood. In this study, we examined the formation ofanthropogenically influenced iSOA during summer in Beijing, China. Localisoprene emissions and high levels of anthropogenic pollutants, inparticular NOx and particulate SO42-, led to the formation ofiSOA under both high- and low-NO oxidation conditions, with significantheterogeneous transformations of isoprene-derived oxidation products toparticulate organosulfates (OSs) and nitrooxy-organosulfates (NOSs).Ultra-high-performance liquid chromatography coupled to high-resolution massspectrometry was combined with a rapid automated data processing techniqueto quantify 31 proposed iSOA tracers in offline PM2.5 filterextracts. The co-elution of the inorganic ions in the extracts caused matrixeffects that impacted two authentic standards differently. The averageconcentration of iSOA OSs and NOSs was 82.5 ng m−3, which was around 3 timeshigher than the observed concentrations of their oxygenated precursors(2-methyltetrols and 2-methylglyceric acid). OS formation was dependant onboth photochemistry and the sulfate available for reactive uptake, as shown by astrong correlation with the product of ozone (O3) and particulatesulfate (SO42-). A greater proportion of high-NO OS products wereobserved in Beijing compared with previous studies in less pollutedenvironments. The iSOA-derived OSs and NOSs represented 0.62 %of the oxidized organic aerosol measured by aerosol mass spectrometry on average, butthis increased to ∼3 % on certain days. These resultsindicate for the first time that iSOA formation in urban Beijing is stronglycontrolled by anthropogenic emissions and results in extensive conversion toOS products from heterogenous reactions.