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A previous model intercomparison of the Tambora aerosol cloud has highlighted substantial differences among simulated volcanic aerosol properties in the pre-industrial stratosphere and has led to questions about the applicability of global aerosol models for large-magnitude explosive eruptions prior to the observational period. Here, we compare the evolution of the stratospheric aerosol cloud following the well-observed June 1991 Mt. Pinatubo eruption simulated with six interactive stratospheric aerosol microphysics models to a range of observational data sets. Our primary focus is on the uncertainties regarding initial SO2 emission following the Pinatubo eruption, as prescribed in the Historical Eruptions SO2 Emission Assessment experiments (HErSEA), in the framework of the Interactive Stratospheric Aerosol Model Intercomparison Project (ISA-MIP). Six global models with interactive aerosol microphysics took part in this study: ECHAM6-SALSA, EMAC, ECHAM5-HAM, SOCOL-AERv2, ULAQ-CCM, and UM-UKCA. Model simulations are performed by varying the SO2 injection amount (ranging between 5 and 10 Tg S) and the altitude of injection (between 18–25 km). The comparisons show that all models consistently demonstrate faster reduction from the peak in sulfate mass burden in the tropical stratosphere. Most models also show a stronger transport towards the extratropics in the Northern Hemisphere, at the expense of the observed tropical confinement, suggesting a much weaker subtropical barrier in all the models, which results in a shorter e-folding time compared to the observations. Furthermore, simulations in which more than 5 Tg S in the form of SO2 is injected show an initial overestimation of the sulfate burden in the tropics and, in some models, in the Northern Hemisphere and a large surface area density a few months after the eruption compared to the values measured in the tropics and the in situ measurements over Laramie. This draws attention to the importance of including processes such as the ash injection for the removal of the initial SO2 and aerosol lofting through local heating.

This paper features the new atmosphere–ocean–aerosol–chemistry–climate model, SOlar Climate Ozone Links (SOCOL) v4.0, and its validation. The new model was built by interactively coupling the Max Planck Institute Earth System Model version 1.2 (MPI-ESM1.2) (T63, L47) with the chemistry (99 species) and size-resolving (40 bins) sulfate aerosol microphysics modules from the aerosol–chemistry–climate model, SOCOL-AERv2. We evaluate its performance against reanalysis products and observations of atmospheric circulation, temperature, and trace gas distribution, with a focus on stratospheric processes. We show that SOCOLv4.0 captures the low- and midlatitude stratospheric ozone well in terms of the climatological state, variability and evolution. The model provides an accurate representation of climate change, showing a global surface warming trend consistent with observations as well as realistic cooling in the stratosphere caused by greenhouse gas emissions, although, as in previous model versions, a too-fast residual circulation and exaggerated mixing in the surf zone are still present. The stratospheric sulfur budget for moderate volcanic activity is well represented by the model, albeit with slightly underestimated aerosol lifetime after major eruptions. The presence of the interactive ocean and a successful representation of recent climate and ozone layer trends make SOCOLv4.0 ideal for studies devoted to future ozone evolution and effects of greenhouse gases and ozone-destroying substances, as well as the evaluation of potential solar geoengineering measures through sulfur injections. Potential further model improvements could be to increase the vertical resolution, which is expected to allow better meridional transport in the stratosphere, as well as to update the photolysis calculation module and budget of mesospheric odd nitrogen. In summary, this paper demonstrates that SOCOLv4.0 is well suited for applications related to the stratospheric ozone and sulfate aerosol evolution, including its participation in ongoing and future model intercomparison projects.

The analysis of biomarkers from exhaled breath condensate (EBC) is a non-invasive but challenging method for the detection of pulmonary diseases. The amino acids L-proline (Pro) and l-tyrosine (Tyr) are precursors for two important metabolites, trans-L-4-hydroxyproline (trans-L-4-hydroxypyrrolidin-2-carboxylic acid, t-Hyp) and nitrotyrosine (NT). Whereas t-Hyp is supposed to be a biomarker for lung fibrosis, NT is a promising biomarker for inflammation in airway diseases. Analysis of EBC requires extremely sensitive methods, because the epithelial lining fluid of the lung and upper airway is highly diluted in EBC. The high intra- and interindividual variation of this dilution implicates additional problems for sample collection and the interpretation of EBC results. Hence, our aim was to work out a method that would compensate for these possible dilution effects. We have developed a new, reliable and very sensitive method for the simultaneous determination of Pro, t-Hyp, Tyr and NT from EBC. Except for t-Hyp, we used labelled internal standards (IS) L-proline (13)C(5), (15)N (Pro (13)C(5)), L-tyrosine-(13)C(9) (Tyr (13)C(9)), (13)C(9)-3-nitrotyrosine (NT(13)C(9)), IS for t-Hyp was cis-4-hydroxy-L-proline, which were added to the samples before they were lyophilised for concentration. For the separation of the analytes we used hydrophilic interaction liquid chromatography (HILIC), coupled to tandem-mass-spectrometry (MS/MS). The limit of detection (LOD) was 0.5 microg/l for Pro and Tyr and 5 ng/l for t-Hyp and NT. The relative standard deviation (RSD) of the precision from day to day was between 2.6 and 8.0% at spiked concentrations between 4 and 25 microg/l for Pro and between 4.2 and 7.3% for Tyr. The RSD of the precision from day to day was between 7.5 and 13.2% at spiked concentrations between 40 and 250 ng/l for t-Hyp and between 3.5 and 8.2% for NT. The method was established using 27 healthy subjects with a median age of 46 years. Concentrations ranged from 2.8 to 51.9 microg/l for Pro, from <5 to 516.5 ng/l for t-Hyp, from 2.4 to 99.1 for Tyr and for NT concentration ranged between <5 and 1686.5 ng/l.

Analysis of biomarkers in exhaled breath condensate (EBC) is a non-invasive method for investigating the effects of different diseases or exposures, on the lungs and airways. N(epsilon)-carboxymethyllysine (CML) is an important biomarker of advanced glycation end products (AGEs). A method has been developed for simultaneous determination of CML and its precursor, the amino acid lysine, in exhaled breath condensate (EBC). After addition of labelled internal standards (d-4-CML; d-4-lysine), the EBC was concentrated by freeze-drying. Separation and detection of the analytes were performed by hydrophilic-ion liquid chromatography coupled with tandem mass-spectrometric detection (HILIC-MS-MS). The limits of quantification were 10 pg mL(-1) EBC and 0.5 ng mL(-1) EBC for CML and lysine, respectively. The relative standard deviation of the within-series precision was between 2.8 and 7.8% at spiked concentrations between 40 and 200 pg mL(-1) for CML and between 6 and 20 ng mL(-1) for lysine. Accuracy for the analytes ranged between 89.5 and 133%. The method was used for the analysis of EBC samples from ten healthy persons from the general population and ten persons receiving dialysis. CML and lysine were detected in all EBC samples with median values of 19 pg mL(-1) CML and 11.9 ng mL(-1) lysine in EBC of healthy persons and 25 pg mL(-1) CML and 9.5 ng mL(-1) lysine in EBC of dialysis patients.