SUPPLEMENTARY INFORMATION Typical measurement sequenceThe nucleation rates (J cm −3 s −1 ) are measured under neutral (J n ), galactic cosmic ray (J gcr ) or charged pion beam (J ch ) conditions. For J gcr a beam stopper blocks the pions and the chamber is irradiated by GCRs together with a small parasitic component of penetrating beam muons, whereas, for J ch , the beam stopper is opened and the pion beam is normally set to a time-averaged rate of (5 − 6) · 10 4 s −1 . Neutral nucleation rates are measured

Nucleation of aerosol particles from trace atmospheric vapours is thought to provide up to half of global cloud condensation nuclei 1 . Aerosols can cause a net cooling of climate by scattering sunlight and by leading to smaller but more numerous cloud droplets, which makes clouds brighter and extends their lifetimes 2 . Atmospheric aerosols derived from human activities are thought to have compensated for a large fraction of the warming caused by greenhouse gases 2 . However, despite its importance for climate, atmospheric nucleation is poorly understood. Recently, it has been shown that sulphuric acid and ammonia cannot explain particle formation rates observed in the lower atmosphere 3 . It is thought that amines may enhance nucleation 4-16 , but until now there has been no direct evidence for amine ternary nucleation under atmospheric conditions. Here we use the CLOUD (Cosmics Leaving OUtdoor Droplets) chamber at CERN and find that dimethylamine above three parts per trillion by volume can enhance particle formation rates more than 1,000-fold compared with ammonia, sufficient to account for the particle formation rates observed in the atmosphere. Molecular analysis of the clusters reveals that the faster nucleation is explained by a base-stabilization mechanism involving acid-amine pairs, which strongly decrease evaporation. The ion-induced contribution is generally small, reflecting the high stability of sulphuric acid-dimethylamine clusters and indicating that galactic cosmic rays exert only a small influence on their formation, except at low overall formation rates. Our experimental measurements are well reproduced by a dynamical model based on quantum chemical calculations of binding energies of molecular clusters, without any fitted parameters. These results show that, in regions of the atmosphere near amine sources, both amines and sulphur dioxide should be considered when assessing the impact of anthropogenic activities on particle formation.The primary vapour responsible for atmospheric nucleation is thought to be sulphuric acid (H 2 SO 4 ), derived from the oxidation of sulphur dioxide. However, peak daytime H 2 SO 4 concentrations in the atmospheric boundary layer are about 10 6 to 3 3 10 7 cm 23 (0.04-1.2 parts per trillion by volume (p.p.t.v.)), which results in negligible binary homogeneous nucleation of H 2 SO 4 -H 2 O (ref. 3). Additional species such as ammonia or amines 4,5 are therefore necessary to stabilize the embryonic clusters and decrease evaporation. However, ammonia cannot account for particle formation rates observed in the boundary layer 3 and, despite numerous field and laboratory studies [6][7][8][9][10][11][12][13][14][15][16] , amine ternary nucleation has not yet been observed under atmospheric conditions. Amine emissions are dominated by anthropogenic activities (mainly animal husbandry), but about 30% of emissions are thought to arise from the breakdown of organic matter in the oceans, and 20% from biomass burning and soil 8,17 . Atmospheric measurements of gasphase amines ...

In the CLOUD (Cosmics Leaving OUtdoor Droplets) chamber the sulfuric acid concentration is precisely controlled via OH oxidation of SO 2 , while BioOxOrg is produced via OH oxidation of pinanediol (PD, C 10 H 18 O 2 ). PD is a model compound for monoterpene oxidation products, which have recently been proposed as key mediators of new-particle formation (41) via terpene secondary organic aerosol (42). Pinanediol is added to the chamber by flushing clean air through an evaporator containing PD (Sigma Aldrich, 99%) at 69°C, just above its melting point. OH is generated by ozone photolysis driven by uniform UV illumination from a fiber-optic system. All experiments were performed at 278 (±0.01) K and 38% (±2%) relative humidity.Extreme care was applied to minimize possible contamination to the highest possible extent. After a full cleaning cycle the chamber (including flushing the chamber with water and baking it at 100°C), the contamination by NH 3 and dimethylamine was <2 and <0.1 pptv, respectively. Organic contamination was present, however on a very low level: reported that the total volatile organic compound (VOC) contamination was usually below 1 ppbv (43). On average more than 80% of the total VOCs was coming from only 5 exact masses (tentatively assigned as formaldehyde, acetaldehyde, acetone, formic acid, and acetic acid), which have a rather high vapor pressure and are therefore not important for nucleation and growth of particles. Some additional contamination by dimethylamine was present in these experiments, due to intentional injection of this compound in experiments immediately preceding those described here. This contamination is described in detail below, and it is shown that it is negligible for the determination of the nucleation rates described here. The gas and the particle phases were monitored by an SO 2 monitor (Enhanced Trace Level SO 2 Analyzer, Model 43i-TLE, Thermo Scientific, USA), an O 3 monitor (TEI 49C, Thermo Environmental Instruments, USA), a dew point mirror hygrometer (DewMaster Chilled Mirror Hygrometer, EdgeTech, USA), a chemical ionization mass spectrometer (CIMS) to measure H 2 SO 4 concentration (44), a proton transfer reaction time of flight (PTR-TOF) mass spectrometer to measure organic vapor concentrations such as [PD] (45), an ion chromatograph (IC) to measure ammonia (NH 3 ) and dimethylamine (DMA, C 2 H 7 N) (46), two atmospheric pressure interface time of flight (APi-TOF) mass spectrometers to measure the composition of positively and negatively charged clusters (47), and a wide array of condensation particle counters (CPC), including a particle size magnifier (PSM; Airmodus 09) (48) which was operated in a scanning mode to measure the growth rate of particles smaller than 2.5 nm, two diethylene glycol (DEG) CPCs (49), and a butanol CPC (TSI 3776). J 1.7 data were calculated on the one hand directly from the PSM data and on the other hand from the formation rate (dN 2 /dt) measured by the DEG CPC with a 50% efficiency (D 50 ) at 2 nm (50). In the latter case, the ...

Abstract. Mobility particle size spectrometers often referred to as DMPS (Differential Mobility Particle Sizers) or SMPS (Scanning Mobility Particle Sizers) have found a wide range of applications in atmospheric aerosol research. However, comparability of measurements conducted world-wide is hampered by lack of generally accepted technical standards and guidelines with respect to the instrumental setup, measurement mode, data evaluation as well as quality control. Technical standards were developed for a minimum requirement of mobility size spectrometry to perform long-term atmospheric aerosol measurements. Technical recommendations include continuous monitoring of flow rates, temperature, pressure, and relative humidity for the sheath and sample air in the differential mobility analyzer.We compared commercial and custom-made inversion routines to calculate the particle number size distributions from the measured electrical mobility distribution. All inversion routines are comparable within few per cent uncertainty for a given set of raw data.Furthermore, this work summarizes the results from several instrument intercomparison workshops conducted within the European infrastructure project EUSAAR (European Supersites for Atmospheric Aerosol Research) and AC-TRIS (Aerosols, Clouds, and Trace gases Research InfraStructure Network) to determine present uncertainties especially of custom-built mobility particle size spectrometers. Under controlled laboratory conditions, the particle number size distributions from 20 to 200 nm determined by mobility particle size spectrometers of different design are within an uncertainty range of around ±10 % after correcting internal particle losses, while below and above this size range the discrepancies increased. For particles larger than 200 nm, the uncertainty range increased to 30 %, which could not be explained. The network reference mobility spectrometers with identical design agreed within ±4 % in the peak particle number concentration when all settings were done carefully. The consistency of these reference instruments to the total particle number concentration was demonstrated to be less than 5 %.Additionally, a new data structure for particle number size distributions was introduced to store and disseminate the data at EMEP (European Monitoring and Evaluation Program). This structure contains three levels: raw data, processed data, and final particle size distributions. Importantly, we recommend reporting raw measurements including all relevant instrument parameters as well as a complete documentation on all data transformation and correction steps. These technical and data structure standards aim to enhance the quality of long-term size distribution measurements, their comparability between different networks and sites, and their transparency and traceability back to raw data.

Fundamental questions remain about the origin of newly formed atmospheric aerosol particles because data from laboratory measurements have been insufficient to build global models. In contrast, gas-phase chemistry models have been based on laboratory kinetics measurements for decades. We built a global model of aerosol formation by using extensive laboratory measurements of rates of nucleation involving sulfuric acid, ammonia, ions, and organic compounds conducted in the CERN CLOUD (Cosmics Leaving Outdoor Droplets) chamber. The simulations and a comparison with atmospheric observations show that nearly all nucleation throughout the present-day atmosphere involves ammonia or biogenic organic compounds, in addition to sulfuric acid. A considerable fraction of nucleation involves ions, but the relatively weak dependence on ion concentrations indicates that for the processes studied, variations in cosmic ray intensity do not appreciably affect climate through nucleation in the present-day atmosphere. N ucleation of particles occurs throughout Earth's atmosphere by condensation of trace vapors (1-3). Around 40 to 70% of global cloud condensation nuclei (CCN) (4-6) are thought to originate as nucleated particles, so the process has a major influence on the microphysical properties of clouds and the radiative balance of the global climate system. However, laboratory measurements are needed to disentangle and quantify the processes that contribute to particle formation, and very few laboratory measurements exist under atmospheric conditions (7)(8)(9)(10). This leaves open fundamental questions concerning the origin of particles on a global scale. First, it is not known whether nucleation is predominantly a neutral process, as assumed in most models (11-13), or whether atmospheric ions are important (6,(14)(15)(16). This relates to the question of whether solar-modulated galactic cosmic rays (GCRs) affect aerosols, clouds, and climate (17-21). Second, the lack of measurements of nucleation rates at low temperatures means that the origin of new particles in the vast regions of the cold free troposphere has not yet been experimentally established. Third, whereas it has been shown that nucleation of sulfuric acid (H 2 SO 4 )-water particles in the boundary layer requires stabilizing molecules such as ammonia (NH 3 ), amines, or oxidized organic compounds (7,8,(22)(23)(24), it is not yet known from existing experimental data over how much of the troposphere these molecules are important for nucleation. Robust atmospheric models to answer these questions need to be founded on direct measurements of nucleation rates. At present, to simulate nucleation over a very wide range of atmospheric conditions, global models must use theoretical nucleation models (25, 26), which can require adjustments to the nucleation rates of several orders of magnitude to obtain reasonable agreement with ambient observations (27,28).The lack of an experimentally based model of global particle nucleation is in stark contrast to global models of atmos...