Articles | Volume 22, issue 20
Research article
20 Oct 2022
Research article |  | 20 Oct 2022

Chemical analysis of the Asian tropopause aerosol layer (ATAL) with emphasis on secondary aerosol particles using aircraft-based in situ aerosol mass spectrometry

Oliver Appel, Franziska Köllner, Antonis Dragoneas, Andreas Hünig, Sergej Molleker, Hans Schlager, Christoph Mahnke, Ralf Weigel, Max Port, Christiane Schulz, Frank Drewnick, Bärbel Vogel, Fred Stroh, and Stephan Borrmann

Aircraft-borne in situ measurements of the chemical aerosol composition were conducted in the Asian tropopause aerosol layer (ATAL) over the Indian subcontinent in the summer of 2017, covering particle sizes below ∼3µm. We have implemented a recently developed aerosol mass spectrometer, which adopts the laser desorption technique as well as the thermal desorption method for quantitative bulk information (i.e., a modified Aerodyne AMS), aboard the high-altitude research aircraft M-55 Geophysica. The instrument was deployed in July and August 2017 during the StratoClim EU campaign (Stratospheric and upper tropospheric processes for better Climate predictions) over Nepal, India, Bangladesh, and the Bay of Bengal, covering altitudes up to 20 kma.s.l. For particles with diameters between 10 nm and ∼3µm, the vertical profiles of aerosol number densities from the eight research flights show significant enhancements in the altitude range of the ATAL. We observed enhancements in the mass concentrations of particulate nitrate, ammonium, and organics in a similar altitude range between approximately 13 and 18 km (corresponding to 360 and 410 K potential temperature). By means of the two aerosol mass spectrometry techniques, we show that the particles in the ATAL mainly consist of ammonium nitrate (AN) and organics. The single-particle analysis from laser desorption and ionization mass spectrometry revealed that a significant particle fraction (up to 70 % of all analyzed particles by number) within the ATAL results from the conversion of inorganic and organic gas-phase precursors, rather than from the uplift of primary particles from below. This can be inferred from the fact that the majority of the particles encountered in the ATAL consisted solely of secondary substances, namely an internal mixture of nitrate, ammonium, sulfate, and organic matter. These particles are externally mixed with particles containing primary components as well. The single-particle analysis suggests that the organic matter within the ATAL and in the lower stratosphere (even above 420 K) can partly be identified as organosulfates (OS), in particular glycolic acid sulfate, which are known as components indicative for secondary organic aerosol (SOA) formation. Additionally, the secondary particles are smaller in size compared to those containing primary components (mainly potassium, metals, and elemental carbon). The analysis of particulate organics with the thermal desorption method shows that the degree of oxidation for particles observed in the ATAL is consistent with expectations about secondary organics that were subject to photochemical processing and aging. We found that organic aerosol was less oxidized in lower regions of the ATAL (<380K) compared to higher altitudes (here 390–420 K). These results suggest that particles formed in the lower ATAL are uplifted by prevailing diabatic heating processes and thereby subject to extensive oxidative aging. Thus, our observations are consistent with the concept of precursor gases being emitted from regional ground sources, subjected to rapid convective uplift, and followed by secondary particle formation and growth in the upper troposphere within the confinement of the Asian monsoon anticyclone (AMA). As a consequence, the chemical composition of these particles largely differs from the aerosol in the lower stratospheric background and the Junge layer.

1 Introduction

Every year, during the summer monsoon period (i.e., between June and September), the Asian tropopause aerosol layer (ATAL) develops inside the Asian monsoon anticyclone (AMA) at altitudes between approximately 14 and 18 km (Vernier et al.2009, 2011, 2015, 2018; Thomason and Vernier2013; Yu et al.2017; Brunamonti et al.2018; Zhang et al.2019). The geographical extent of the AMA can reach from the eastern Mediterranean to western China, and correspondingly, the ATAL is spatially, temporally, and seasonally highly variable (Yuan et al.2019; Hanumanthu et al.2020). Due to internal dynamical variability, the location and shape of the anticyclone change from day to day and oscillate between a state with one anticyclone and a different state with two separated anticyclones (so-called modes). The modes are often referred to as western (Iranian) and eastern (Tibetan) mode (e.g., Zhang et al.2002; Vogel et al.2015; Nützel et al.2016) and they affect the spatial distribution of the ATAL as well. Widespread within the Asian monsoon region and its surroundings, there are numerous ground sources of natural emissions and anthropogenic pollution (e.g., Lawrence and Lelieveld2010). As the summer monsoon is accompanied by large-scale convection especially in the Himalayan region and the Tibetan plateau, strong upward transport carries trace gases, aerosols, and precursor gases of natural and anthropogenic origin from the boundary layer (BL) aloft to the altitudes of the AMA (approximately 12 to 20 kma.s.l.), and in parts beyond into the lower stratosphere (Randel et al.2010; Pan et al.2016; Vogel et al.2019). Soluble substances and aerosol particles experience scavenging and chemical processing during the transport through convective mixed-phase clouds. As a consequence, the chemical composition and abundance of materials which are amenable for the formation of the ATAL are altered and thus differ from the initial BL conditions (Barth et al.2001, 2007a, b; Tost et al.2010; Bela et al.2016; von Blohn et al.2011, 2013; Jost et al.2017; Lawrence and Lelieveld2010). These constituents reach the cloud detrainment zone between approximately 8 and 16 kma.s.l. and accumulate inside the AMA together with other pollution components which arrive here unaffected by cloud processing. Above the convective outflow, the released emissions are rapidly oxidized by OH. The high abundance of NOx, especially from lightning, enhances the recycling of OH radicals, leading to an increased oxidative capacity of the air in the anticyclone (Lelieveld et al.2018). The described processes influence the chemical composition of the air circulating inside the AMA throughout its vertical profile (Randel and Park2006; Park et al.2009; Randel and Jensen2013; Vogel et al.2015; Pan et al.2016; Bucci et al.2020) and provide precursor gases for secondary aerosol formation. Such precursor gases reach the upper troposphere (e.g., Höpfner et al.2016, 2019; Fairlie et al.2020), where homogeneous nucleation and subsequent particle-growth processes form secondary particles in clear air as well as inside the outflows of convective cloud systems (Weigel et al.2011, 2021a, b; Williamson et al.2019). The exact details of the precursor gas mixture and the involved processes for inorganic homogeneous nucleation (including H2SO4, NH3, HNO3 among others), as well as secondary organic aerosol (SOA) formation are still unknown. However, mainly modeling studies show that the relevant aerosol components within the AMA are nitrates, ammonium, sulfates, as well as organics, mineral dust, black carbon (Fadnavis et al.2013; Neely et al.2014; Yu et al.2015; Gu et al.2016; Lelieveld et al.2018; Lau et al.2018; Ma et al.2019), some metals, and to a small extent meteoric dust as well (Schneider et al.2021). In this context, ammonium nitrate (AN) is of particular importance. As already pointed out by Metzger et al. (2002), the partitioning between the gas phase HNO3 and NH3 and its condensed phase NH4NO3 influences the atmospheric lifetime of these substances, since AN has a much longer residence time than its precursor gases. The authors concluded from their global model calculations (albeit with large uncertainties and without considering seasonal cycles) that an extended AN aerosol plume should exist in the upper troposphere at atmospheric pressure of 200 to 300 hPa (in a region characterized by efficient upward transport) from Southeast Asia to Africa as result of ammonia ground emissions (mostly from agriculture) in India and southern Asia. This was corroborated by satellite remote sensing as early as 1997 from the instruments CRISTA and MIPAS/Envisat (Höpfner et al.2019), and by laboratory studies on the system of ammonia and nitric acid (Wang et al.2020). Additional experiments performed in the CLOUD chamber at CERN (Wang et al.2022) under upper-tropospheric conditions showed that new particle formation from the ternary H2SO4/HNO3/NH3 system occurs at nucleation rates which are orders of magnitude higher than for systems with any binary combination of these three gases. Further, based on GEOS-CHEM 3D model simulations, Gu et al. (2016) concluded that particulate nitrate in the PM2.5 range is a dominant component of the upper troposphere and lower stratosphere (UTLS) in the AMA region, although it is not a major contributor to the BL aerosol. According to their calculations, the nitrate fractions of the PM2.5 aerosol can be higher than 60 % at the 100 hPa level while being below 5 %–25 % near the surface. Balloon-based in situ data reported by Vernier et al. (2018) provided the first indications for the presence of nitrate aerosol in the ATAL. Finally, within the StratoClim project, remote-sensing measurements from the aircraft-borne (here the Russian M-55 Geophysica high-altitude research aircraft) near-infrared spectrometer GLORIA by Höpfner et al. (2019), gave clear evidence for solid AN as a major component of the ATAL inside the AMA of 2017. In their study, first quantitative in situ measurements by means of our aerosol mass spectrometry were also introduced, which unambiguously demonstrated the existence of a nitrate aerosol layer in the ATAL altitude range. Desert dust may also be a component of the regional UTLS aerosol and the ATAL. This was concluded from model simulations (Fadnavis et al.2013; Lau et al.2018; Yuan et al.2019), although measurements and experimental quantification are still missing.

Aerosol size distribution measurements were concurrently performed on the M-55 Geophysica during StratoClim inside the AMA of 2017 by Mahnke et al. (2021), using optical particle counters (UHSAS-A and NIXE-CAS) for the size range of 65 nm to 3 µm in diameter. This range extends towards smaller particle sizes beyond the previous measurements by Yu et al. (2017), who adopted a balloon-borne POPS optical particle counter with a lower-size detection limit of 140 nm. As detailed in Mahnke et al. (2021), additional data from the COPAS high-altitude condensation particle counter (Weigel et al.2009, 2021a) allowed the addition of one broad-size bin extending from 10 to 65 nm to the size distributions delivered by the UHSAS-A. By means of these composite size distributions from the three instruments (i.e., COPAS, UHSAS-A, and NIXE-CAS) covering 10 nm to ∼3µm, aerosol back-scattering ratios could then be derived and compared with the CALIOP satellite measurements of roughly the same time period as during StratoClim. The results from both methods agree well and exhibit an aerosol layer between 14 and 18 km altitude inside the AMA (Mahnke et al.2021). Thus, with respect to number density, the ATAL in 2017 mainly consisted of particles with diameters below 3 µm with a broad peak in the size distribution around 100 nm and with the highest number densities near 40 000 cm−3 (Mahnke et al.2021; Weigel et al.2021a). Previous balloon-borne observations had also indicated a maximum in the size distribution at diameters of around 100 nm (Yu et al.2017; Vernier et al.2018).

Diabatic vertical transport of air masses carries the aerosol particles of the ATAL aloft with slow (∼1–1.5 K d−1) vertical ascent rates in an anticyclonic large-scale spiral movement (Vogel et al.2019). These air masses cross the lapse-rate tropopause which does not act as a transport barrier here in the tropics. Between approximately 380 and 460 K of potential temperature, isentropic mixing and “spiral stirring” with air masses from the neighboring regions occur. As a consequence of the arguments laid out for trace gases by Vogel et al. (2019), a small fraction of the contained aerosol can probably reach the tropical pipe and subsequently become globally distributed as well. Most likely, however, a larger part of the aerosol originating from the AMA is distributed together with other tropospheric constituents in the northern hemispheric extratropical lowermost stratosphere via quasi-isentropic transport (see e.g., Garny and Randel2016; Ploeger et al.2017; Yu et al.2017; Fadnavis et al.2018). Since “eddy shedding” occurs a few times each summer (e.g., Popovic and Plumb2001; Vogel et al.2014; Pan et al.2016), parts of the accumulated aerosol particles and gases become amenable to distribution in the upper troposphere and for long-range transport (see e.g., Lawrence and Lelieveld2010; Vogel et al.2016; Fujiwara et al.2021). As suggested by Yu et al. (2017), as much as 15 % of the northern hemispheric stratospheric aerosol surface area could originate in the AMA on an annual basis, albeit with considerable seasonal variability (Yuan et al.2019). Whether or not the aerosol nucleated in the AMA is a source for the global stratospheric Junge layer, is still an open and debated question. Some fraction of the freshly nucleated and aged particles inside the AMA are involved in ice-cloud formation below the tropopause and in the tropical transition layer (Ueyama et al.2018), as has been demonstrated by laboratory experiments for the case of AN aerosol (Wagner et al.2020). Others may act as cloud nuclei further down in the tropical middle troposphere, which was suggested by Andreae et al. (2018) based on their measurements over the Amazon rain forest. For the higher altitudes, the effects on the radiative budget and possibly heterogeneous chemistry (see e.g., von Hobe et al.2011; Talukdar et al.2012) are of concern. In general, aerosols in the UTLS are of relevance for the climate since the ice-nucleation processes influence cirrus cloud properties (see e.g., Liu et al.2009; Fadnavis et al.2013) and thus their radiative effects. The extent of the regional radiative forcing at the top of the atmosphere in connection with the ATAL was estimated by Vernier et al. (2015) to be in the order of 0.1 W m−2. Although considerable uncertainty still exists concerning the radiative forcing of the ATAL, from Ridley et al. (2014) it can be concluded that the radiative effects may be comparable to the global aerosol forcing (0.05 to 0.12 K) from moderate volcanic eruptions since 2000. Based on sensitivity studies using model simulations and satellite observations, Fadnavis et al. (2019) concluded that the regional upper tropospheric aerosol may aggravate the droughts over the Indian subcontinent during El Niño periods.

In this study, we provide detailed observational data on the chemical aerosol composition of the ATAL and its surroundings from in situ measurements carried out aboard the Russian M-55 Geophysica high-altitude research aircraft within the StratoClim project. While previous work has been focused on nitrate aerosol, here we demonstrate by means of quantitative and qualitative aerosol mass spectrometry that the ATAL not only contains AN particles, but also a significant fraction of particulate organics, the properties of which are also a subject of this study. Furthermore, the presented measurements include results for particulate sulfate within the AMA.

2 The StratoClim field campaign, measurement platform, and instrumentation

The measurements were taken in the framework of the StratoClim (see:, last access: 27 January 2022) EU project with the goal to better understand the meteorological and chemical processes of the AMA. The base for the field campaign was the Tribhuvan International Airport (KTM) in Kathmandu, Nepal, where eight research flights were performed between 27 July and 10 August 2017. The adopted platform was the single-seated Russian high-altitude research aircraft M-55 Geophysica, which can carry a payload of up to 2000 kg to a nominal ceiling of 21 km. The eight research flights had a duration between 2 h 42 min and 4 h 28 min, and the highest GPS altitude reached during StratoClim was 20.5 km. Figure 1 shows the flight paths for the StratoClim aircraft campaign in 2017 over Nepal, India, Bangladesh, and the Bay of Bengal.

Figure 1Paths of the eight research flights during the StratoClim field campaign in 2017 over Nepal, India, Bangladesh, and the Bay of Bengal. The flight dates were as follows: Flight 1 – 27 July, Flight 2 – 29 July, Flight 3 – 31 July, Flight 4 – 2 August, Flight 5 – 4 August, Flight 6 – 6 August, Flight 7 – 8 August, Flight 8 – 10 August 2017.

In situ aerosol mass spectrometry. For in situ measurements of the aerosol chemical composition, the newly developed ERICA instrument (ERC Instrument for the Chemical composition of Aerosols) was implemented on the M-55 Geophysica (Hünig et al.2022; Dragoneas et al.2022). The two commonly adopted methods for in situ real-time mass spectrometric analysis of aerosol particles are (1) laser desorption ionization (LDI) of particles followed by time-of-flight (TOF) mass spectrometry (Suess and Prather1999), and (2) thermal desorption with subsequent electron-impact ionization (TDI) as implemented in the Aerodyne aerosol mass spectrometer (AMS) (Drewnick et al.2005; Canagaratna et al.2007). ERICA combines these two techniques in a single, fully automatic apparatus. The instrument has been described in detail by Hünig et al. (2022) and Dragoneas et al. (2022) and is only briefly reviewed here.

Ambient sample air is supplied to ERICA by a specially designed shrouded inlet (Dragoneas et al.2022), which consists of a two-staged diffusor that reduces the required sampling-line velocity for isokinetic sampling by a total factor of 39. The principal design is based on the aerosol inlet used in the IAGOS-CARIBIC project (Brenninkmeijer et al.2007), and for ERICA the inlet design and its performance has been simulated by computational flow dynamics. Before entering the mass spectrometer, the sample air passes through a pressure-regulating critical orifice (Molleker et al.2020) which ensures the reliable performance of the aerodynamic lens (Peck et al.2016) at the entrance of ERICA. The critical orifice maintains a constant mass flow or normal volumetric flow (referenced to normal temperature and pressure (NTP): 20 C and 1013.25 hPa) of 1.45 cm3 s−1 into the instrument. The aerodynamic lens is designed to be operated at a pressure of 4.53 hPa, provided by a critical orifice with a diameter of ∼100µm at ground level, which increases to ∼400µm at lower stratospheric ambient pressures of 60 hPa.

The ERICA-LAMS (ERICA laser ablation mass spectrometer) unit implements the LDI technique. Two continuous wave lasers detect and classify the individual particles by size and are used to trigger a pulsed UV desorption/ionization laser (Hünig et al.2022), similar to, e.g., the ALABAMA (Brands et al.2011) or PALMS (Murphy2007) instruments. The vacuum aerodynamic diameter of the particles (dva) is derived from the particle velocity by applying a calibration with particles of known diameter, density, and shape (here, monodisperse polystyrene latex particles in a diameter range between 80 nm and 5.1 µm, Hünig et al.2022). The ions generated by the UV laser pulse (∼4mJ at a wavelength of 266 nm) are extracted by switched electrical fields to generate positive and negative ion mass spectra for each desorbed aerosol particle. Due to a relatively long idle time of >120ms of the desorption laser, most particles continue flying unaffected downstream in the vacuum chamber towards the ERICA-AMS unit. They hit a tungsten vaporizer, where the non-refractory components are vaporized at around 600 C. The vapor is ionized by means of the electron-impact method and a compact time-of-flight mass spectrometer (C-TOF-MS) is used to generate unipolar positive mass spectra of small particle ensembles.

The particle size range detectable by the ERICA-AMS is given by the transmission efficiency of the aerodynamic lens (vacuum aerodynamic diameter of the particles between 110 nm and 3.5 µmXu et al.2017). Although Hünig et al. (2022) indicate an even lower cutoff of less than 90 nm, the smallest particles will not significantly contribute to the mass concentrations measured by the ERICA-AMS during StratoClim. The lower cutoff diameter of the LDI unit is limited by the optical particle detection efficiency to 180 nm. The short passage through the inlet and tubing does not significantly alter the detectable size range and the losses have been estimated to be below 20 % for particles up to 3 µm, even at low ambient pressures of 65 hPa (Dragoneas et al.2022).

The data of the ERICA-AMS are processed with TofWare 2.5.7 (Tofwerk) as detailed in Sect. S1.1 and S1.2 in the Supplement. The detection limits of the mass concentrations are calculated from the background measurement with closed shutter as in Drewnick et al. (2009); however, in this publication, we analyze the background noise using a Savitzky–Golay (SG) filter (Savitzky and Golay1964). The method is further described in Sect. S1.3 in the Supplement and is similar to those adopted by Reitz (2011) and Schulz et al. (2018). During the StratoClim aircraft campaign of 2017, we found an average detection limit of 0.12 µg m−3 (NTP) for nitrate, 0.13 µg m−3 (NTP) for sulfate, 0.50 µg m−3 (NTP) for organics, and 0.73 µg m−3 (NTP) for ammonium, each representative for a sampling period of 10 s, i.e., one measurement cycle consisting of aerosol and background measurement. For longer averaging times t (e.g., the total residence time in a certain altitude or θ bin), the detection limit scales with 1/t. The detection limits are comparable to values determined with the common filter method during ground measurements as shown by Hünig et al. (2022).

Single-particle mass spectra were obtained by the ERICA-LAMS. Considering only spectra sampled outside of clouds, a total of 109 453 spectra were analyzed from the StratoClim data set; 99 % of the spectra include size information and 92 % of the spectra have dual polarity. We used the software package CRISP (Concise Retrieval of Information from Single Particles; Klimach2012) to perform m/z (ion mass to charge ratio) calibration, peak area integration, and particle classification. Particles were classified by a combination of fuzzy-c means clustering (Hinz et al.1999; Roth et al.2016; Schneider et al.2021) and the marker ion method (Köllner et al.2017, 2021). For this study, we classified particles into two main categories: particles composed solely of components typical for secondary formation like nitrate, sulfate, and organics (Secondary Type) and particles containing a mixture of secondary as well as primary components like soot, metals, salt, and organics from biomass burning (Primary or Mixed Type). Details about the classification methods of the particles can be found in Sect. S2.1 in the Supplement. As a next step, the fraction and scaled number concentrations of the particle types are determined. For the calculation of particle fractions, we summed up total analyzed particles (i.e., detected, desorbed, and ionized) and particles from a specific type in certain bins of variables (here, altitude, potential temperature, and dva). For each bin, we divided the number of particles of a specific type by the number of all analyzed particles, providing the particle number fraction (PF). Further, by multiplying it with the measured particle number concentration at the first detection stage (N0) of ERICA, we calculated the scaled number concentration of a specific particle type (PF⋅N0). This scaling method assumes that the hit rate of the ERICA-LAMS is independent of particle characteristics, such as size, composition, and shape. However, earlier studies show that this is not the case (Thomson et al.1997; Kane et al.2001; Moffet and Prather2009; Brands et al.2011). As a result, we only discuss the variation in the scaled number concentrations as a function of other parameters (here, altitude and potential temperature), rather than discussing the absolute values of number concentrations.

Aerosol size distribution and cloud particle measurements. A modified UHSAS-A optical particle counter covering a nominal particle diameter from 65 nm to 1 µm was deployed on the aircraft as an underwing probe for aerosol size distribution measurements. As described in more detail by Mahnke et al. (2021), for the operation of the UHSAS-A at atmospheric pressures below 130 hPa, several modifications, e.g., of the flow system, had to be implemented to ensure reliable performance under the ambient conditions encountered during StratoClim.

A wing-mounted cloud droplet probe (CDP, Droplet Measurement Technologies, Longmont, CO, USA) with a diameter range from 2.5 to 46 µm was used to detect the presence of cloud and ice particles. In this study, the CDP has been used to identify cloud passages (i.e., periods with ice water contents above 0.1 mg m−3, averaged over 11 s) and to exclude single-particle spectra and ERICA-AMS data during the passages from our analysis to avoid potential artifacts from the inlet system such as droplet impact or ice shattering.

The number concentrations of aerosols with sizes down to nucleation mode were determined with the four-channel flow-through condensation particle counter COPAS (COndensation PArticle counting System). COPAS is operated with perfluorotributylamine (FC-43) as the working fluid, its particle detection and data storage occur with a temporal resolution of maximum 1 Hz. Three COPAS channels operate with 50 % detection particle diameters dp,50 of 6, 10, and 15 nm, respectively. The fourth COPAS channel (with dp,50=10nm) detects particles after their exposure to temperatures of 270 C by means of a heated sample flow line. In this way, particle concentrations of non-volatile (nv) or refractory particles (e.g., soot, mineral dust, metallic aerosol material) are determined. The counting performance of COPAS under variable pressure conditions is described by Weigel et al. (2009), and its capabilities have been demonstrated in several deployments of COPAS associated with the M-55 Geophysica (see Borrmann et al.2010; Weigel et al.2011, 2021a, b, and references therein)

Other instruments and methods. Ambient temperature T and pressure p as well as coordinates (GPS altitude, latitude, longitude), and aircraft specific data like roll and pitch angle, were supplied by the Unit for Connection with the Scientific Equipment (UCSE; Sokolov and Lepuchov1998) from the aircraft's avionic system. The accuracies for the 1 Hz-resolved UCSE data are ±1hPa and ±2K for the ambient pressures and temperatures, respectively. The potential temperature θ has been calculated from the aircraft data according to θ=T(1000hPa/p)(RL/cp) with the specific gas constant RL=287.058Jkg-1K-1 and specific heat capacity cp=1005Jkg-1K-1.

For measurements of NO with SIOUX, a chemiluminescence technique is adopted. Here, a cooled photomultiplier detects the light emission from the reaction of NO with ozone (O3). Ozone is produced in the instrument by a dielectric barrier discharge. The detector is identical to the one used for measurements from an in-service aircraft during more than 460 flights since 2005 (CARIBIC Project) and is described in detail by Stratmann et al. (2016). The precision and accuracy of the SIOUX NO measurements are 7 % and 10 %, respectively. The NO detection limit is 3 pptv.

3 Results and discussion

3.1 Chemical composition of the ATAL aerosol particles as measured by the ERICA-AMS

The ERICA-AMS provides mass concentrations of particulate organics, nitrate, sulfate, and ammonium. Figure 2 shows the median mass concentrations as a function of altitude and potential temperature (θ) together with the 25th and 75th percentiles. The profiles of the eight individual research flights are provided in Sect. S3.1 in the Supplement. Based on the distribution of our in situ mass concentration measurements, several atmospheric layers can be identified:

  1. The boundary layer (BL) with increased mass concentrations below 320 K;

  2. The free troposphere (FT) between 320 and 350 K with low values for the mass concentrations (< 0.5 µg m−3 (NTP));

  3. The ATAL between 355 and 420 K. This is comparable to the altitude range of the ATAL given in Vernier et al. (2011) of 13 to 18 km (corresponding to ∼360–410 K during StratoClim) detected by the satellite-based lidar instrument CALIOP (Cloud–Aerosol Lidar with Orthogonal Polarization);

  4. Above 420 K, mostly sulfate aerosol is detected, which is a typical characteristic of the lower stratosphere.

According to European Centre for Medium-Range Weather Forecasts (ECMWF) ERA-Interim reanalysis data for the time period of the research flights, the lapse-rate tropopause was between 369 and 396 K of potential temperature with a mean level of 380 K. Thus, the aerosol layer visible in the mass concentration data extends well into the lower stratosphere. The top of the AMA system confinement in 2017 was found at roughly 420 K by means of in situ trace gas measurements (von Hobe et al.2021) on the M-55 Geophysica. This level of potential temperature coincides with a significant decrease in the particle number concentrations towards stratospheric values as reported by the COPAS condensation particle counter for particles with diameters between 10 nm and 1 µm (Mahnke et al.2021; Weigel et al.2021a). Including deep convection, the region of convective outflows extends from about 12 to 17 km – approximately corresponding to θ levels between 360 to 385 K – with a maximum intensity around 14 km. Based on back-trajectory analyses and satellite observations, for the period of the StratoClim aircraft campaign in 2017, Bucci et al. (2020) concluded that the age of air up to 15 km is rarely more than 5 d and that these young air masses dominate the air composition here. Bucci et al. (2020) also identified a transition layer between 15 and 17 km with ages of air masses between 1–2 weeks. Convection is still the major contributor of air masses in this transition region. Above 17 km, the mean age of the sampled air is ∼20 d with the convective contribution decreasing to zero around 20 km. Thus, the discernable ATAL layer in Fig. 2 is situated in an altitude region with air several weeks old, which is still strongly influenced by deep convection. In this meteorological situation during the AMA of 2017, organic and inorganic precursors for secondary aerosol formation, as well as primary particles originating from below, easily reach the altitudes of the ATAL.

Figure 2ERICA-AMS mass concentrations of particulate organics (green), nitrate (blue), sulfate (red), and ammonium (orange) as a function of (a) GPS altitude and (b) potential temperature θ. The thick lines and the shaded areas represent the medians and 25th/75th percentiles in the corresponding altitude or θ bin of the entire StratoClim aircraft campaign in 2017. The dashed lines represent the medians of each individual research flight. The right panel displays the sum of all species measured by the ERICA-AMS (black). The shaded background indicates the approximate altitude range of the ATAL. For each altitude bin, the detection limit is displayed as a dotted line close to the ordinate. Concentrations in the BL can exceed the displayed range.


The vertical profiles in Fig. 2 show clear enhancements of aerosol mass concentrations in the UTLS, especially for particulate organics, nitrate, and ammonium. In the ATAL altitude range, the vertical number density profiles of submicrometer sized particles, as concurrently measured by COPAS and the UHSAS-A, also exhibit significantly elevated values with respect to the middle troposphere and the lower stratosphere (Mahnke et al.2021; Weigel et al.2021a). This is evident from Fig. 3, which is a comprehended representation of the data from their studies, showing the results of particle number concentration larger than 10 nm and larger than 65 nm as a function of altitude and potential temperature. In these publications and in Weigel et al. (2021b), it was demonstrated that new particle formation and subsequent particle growth by condensation and coagulation can be observed frequently in the lower ATAL region below the tropopause (between 355 and 370 K). However, it should be noted that COPAS data for particles between 6 and 10 nm in diameter – indicative of such transient new particle formation events – are not included in Fig. 3. Thus, the ATAL in the AMA of 2017 could be identified by all of our in situ aerosol particle instruments aboard the M-55 Geophysica as enhancements in the respective vertical profiles. Remarkably, the vertical profile of sulfate (mostly as ammonium sulfate below 400 K potential temperature, see Fig. 6) does not show a peak in the ATAL region. It steadily increases towards the stratosphere becoming the dominant aerosol constituent above 420 K. This is interesting, because several studies in the literature (e.g., Neely et al.2014; Yu et al.2017; Vernier et al.2015) hypothesized sulfur dioxide to be a main precursor for the ATAL layer formation, which is not unreasonable, considering the high level of regional anthropogenic SO2 emissions. However, for the particles in the ATAL of the AMA 2017, nitrate and organics are the major constituents. The vertical transport above 360 K, across the tropopause and up to ∼460K is driven by diabatic heating in an upward spiralling anticyclonic motion (Vogel et al.2019). The observed increase in sulfate mass concentration is inside this upward spiralling range with a growing presence of the stratospheric background aerosol at the higher altitudes, because lower stratospheric air increasingly mixes with the upward transported AMA air masses (Vogel et al.2019).

Figure 3Vertical profile of the median submicron aerosol particle number concentrations as measured by COPAS and the UHSAS-A (n10, n65: particles with diameters larger than 10 and 65 nm, respectively) as a function of (a) GPS altitude and (b) potential temperature θ.


In terms of absolute values, the ERICA-AMS measurements show increased total mass concentrations in the altitude range of the ATAL (shaded gray area in Fig. 2) with a maximum of more than 2 µg m−3 (NTP). We found detectable concentrations of particulate nitrate up to 19 kma.s.l. or 420 K in potential temperature by means of the ERICA-AMS, whereas particulate organics even reach 19.5 km or 430 K. Thus, regarding the main particle components, we can determine that the upper boundary of the ATAL is higher than 18 km, which is the upper boundary as detected by satellite observations (Vernier et al.2011). Figure S2 in the Supplement demonstrates the average potential temperature and vertical spread-out of the organics profile to be larger than that for the nitrate layer. At the lower boundary of the ATAL, the nitrate signal shows an increase with altitude at 8 km, when averaging over the whole campaign. However, no nitrate signal was detected below 13.5 km during some flights. Overall, the concentrations and vertical distributions varied strongly from day to day (dashed lines in Figs. 2 and S3–S10 in the Supplement). While this can be explained by different flight paths in general, Hanumanthu et al. (2020) found similar day-to-day variations for the total mass concentration detected over the foothills near Nainital, India during a balloon campaign in August 2016. Nitrate contributes about 30 % to the non-refractory mass of the ATAL. This is more than common fractions of nitrate obtained during BL measurements in Asia (Zhou et al.2020) or other parts of the world (Jimenez et al.2009), even though the occurrence of nitrate aerosol is generally associated with agricultural emissions in the BL (e.g., Hock et al.2008). Together with the sufficiently available ammonium (see Sect. 3.2), it can be assumed that the nitrate found in the ATAL predominantly exists in the form of AN. A first quantification of particulate AN concentrations during StratoClim was obtained by Höpfner et al. (2019), who used the limb-sounding instrument GLORIA as well as data from the ERICA-AMS. The concentrations measured by the two instruments show a good agreement between the instruments, which operate on very different physical principles. Concerning the particle phase, they concluded that the AN particles are solid based on their GLORIA measurements, dedicated AIDA chamber laboratory studies, and single-particle aerosol mass spectra delivered by the ERICA-LAMS. The high abundance of AN is a distinguishing property of the ATAL aerosol. The median concentration of particulate nitrate shows a maximum of about 0.8 µg m−3 (NTP) around 17 km or 370–390 K during the StratoClim aircraft campaign in 2017. Höpfner et al. (2019) emphasized the importance of AN, but not only nitrate is enriched here. Organics – which are not detected by the GLORIA instrument – contribute similar amounts to the particulate mass concentration and may play a similar role for the ATAL. One could even imagine a very faint “organic ATAL” without AN, which could have formed in periods with low emissions of ammonia from agricultural activities.

As the AMA supports an accumulation of precursor gases and aerosol particles, it is worth investigating the spatial distribution of the measured aerosol chemical properties. A suitable parameter for this is the equivalent latitude (EQL) as introduced by Ploeger et al. (2015), which defines the distance from the center of the AMA based on gradients of potential vorticity. The value of 90 for EQL designates the center of the AMA with decreasing values, indicating growing distance. For Fig. 4, we binned averages of the measured organic and nitrate mass concentrations with respect to EQL (2 per bin) and potential temperature θ (5 K per bin). Figure 4b shows that the highest concentrations of nitrate appear in the central region of the monsoon anticyclone. The mass concentration of particulate organics shows a broader distribution in vertical as well as horizontal extension (Fig. 4a). However, these results only represent a brief period of the AMA and the underlying dynamics of the anticyclone may well lead to very different distributions in the course of time. A clear horizontal confinement of the ATAL can not be discerned from the graph. This might have been different, if the database had been larger.

Figure 4Curtain plot of (a) organic and (b) nitrate mass concentration as a function of θ and equivalent latitude (AMA-centered). The values for organics are based on the data from the Flights 1, and 4 through 8.


3.2 Acidity of the ATAL aerosol

In the Asian monsoon region, NOx is likely to be abundant due to anthropogenic emissions as well as lightning (Tost2017; Fairlie et al.2020; Metzger et al.2002; Lelieveld et al.2018), reacting with water to form HNO3. In fact, in situ measurements of NO as measured by SIOUX during StratoClim showed enhanced concentrations in the ATAL with volume mixing ratios above 0.5 ppbv at altitudes between 16 and 18 km. This is demonstrated in Fig. 5, where the particulate nitrate mass concentration is plotted against the gas-phase NO mixing ratio, color-coded with potential temperature θ. Between ∼360 and 400 K, NO is increasing with altitude and particulate nitrate mass (lower regression line in Fig. 5) since this altitude band roughly corresponds to the outflow region of the convective clouds with lightning activity. Above ∼400K and in the lower stratosphere, NO increases further as result of the photolysis of nitrous oxide (N2O) while the particulate nitrate mass declines (upper regression line in Fig. 5). The formation of particulate nitrate usually requires nitric acid to find a reaction partner to form a less volatile substance. The capability of the gas-phase constituents (ammonia and nitric acid) for homogeneous nucleation of new particles consisting of AN (followed by fast post-nucleation growth) has been demonstrated and studied in dedicated laboratory experiments by Wang et al. (2020). Even though ammonia is soluble in water and can thus be scavenged by precipitation during convective uplift, a low retention coefficient in the ice phase (Hoog et al.2007; Jost et al.2017; Ge et al.2018) can play a role in ammonia reaching altitudes of cumulonimbus outflows for significant quantities, especially during the Asian monsoon with prevalent deep convective clouds. Höpfner et al. (2016, 2019) demonstrated the occurrence of ammonia from agricultural sources above the convective outflow and also the influence of ammonia on the formation of AN in the ATAL.

Figure 5Nitrate mass concentration measured by the ERICA-AMS plotted against NO mixing ratio of SIOUX. The regression lines are shown to indicate the trends and are based on values for altitudes 10–17 and 17–19 km, respectively. The horizontal bars reflect the 25th to 75th percentile range for nitrate and the vertical bars present an uncertainty of 30 % for NO.


The stoichiometric ratio of nitrate and sulfate on one hand, and ammonium, which can neutralize these species, on the other hand, provides an indication of the aerosol acidity (Zhang et al.2007). The mass concentration of ammonium can be measured directly with the ERICA-AMS, while the concentration of nitrate [NO3] and sulfate [SO4] determine the concentration of ammonium required for neutralization [NH4,req] according to

(1) [ NH 4 , req ] = 36 96 [ SO 4 ] + 18 62 [ NO 3 ]

Figure 6 shows the vertical profile of [NH4] and [NH4,req] against altitude and potential temperature. The aerosol particles can be considered to be fully neutralized if the measured ammonium concentrations are in agreement with [NH4,req] in the corresponding bin. However, the neutralization balance of organics could not be included in the analysis due to the lack of the required data. Particles with altitudes of up to 18 km or a potential temperature of 400 K contain approximately sufficient ammonium to neutralize the nitrate and sulfate content. Up to 19 km or 410 K, ammonium is still above the detection limit but insufficient for the neutralization of the observed nitrate and sulfate. For higher levels, no particulate ammonium was detectable; this is in agreement with the observations of sulfuric acid in the stratosphere (e.g., Murphy et al.2014). In essence, the vertical transport of ammonia and/or ammonium reaches altitudes of up to 19 km, influencing the aerosol acidity.

Figure 6Vertical profile of the mass concentration of particulate ammonium (orange) with median and interquartile ranges measured by the ERICA-AMS as well as the median-calculated ammonium required for full neutralization of the inorganic components (NH4,req, black line) as a function of (a) GPS altitude and (b) potential temperature θ. The shaded areas delineate the 25th and 75th percentiles, and the detection limit of ammonium is shown as a dotted line.


3.3 Secondary organic and inorganic particles within the ATAL

In this section, we discuss the role of secondary particle formation for the chemical composition and physical properties of the ATAL. The ERICA-AMS is not suited to detect refractory material like dust, metals, and salt, which are usually indicative of the presence of primary aerosol particles. Non-refractory nitrate and sulfate as detected by the ERICA-AMS mostly represent secondary aerosol; however, it can not be differentiated between pure secondary particles or coatings of nitrate and sulfate on pre-existing primary particles. The complementary single-particle analysis by the LDI technique (here the ERICA-LAMS) allows us to study the internal mixing state of individual particles present in the ATAL. The mean bipolar single-particle mass spectra of the Secondary and Primary or Mixed Types (definitions see Sect. 2) are provided in Figs. 7 and 8. It should be noted that we averaged over the entire single-particle data set during StratoClim in 2017, excluding data inside clouds. The Primary/Mixed Type is characterized by the detection of primary species like potassium and elemental carbon in the BL and the ATAL region, along with sodium, other minerals, and anthropogenic metals in the BL (Fig. 8b and c). In the stratosphere above 420 K, primary particles are mainly composed of meteoric material (Fig. 8a; see also Schneider et al.2021). However, as evident from the negative ion spectra, these particles are typically coated with secondary substances, such as sulfate and nitrate (Fig. 8). The identification of such mixing states requires the ability to record both ion polarities for each individual analyzed aerosol particle. Particles identified as Secondary Type are characterized by an internal mixture composed solely of secondary species, namely nitrate (m/z +30 (NO+) and 46 (NO2-)), ammonium (m/z +18 (NH4+)), sulfate (m/z -97/99 (HSO4-)), and organic matter (m/z +27 (C2H3+) and +29 (C2H5+), likely from alkyl fragments (Silva and Prather2000); see Fig. 7). Hence, the defined Secondary Type is not internally mixed with primary particle components. Further, we separated the Secondary Type into Type 1 and Type 2. Type 1 is characterized by a dominant NO+ signal, whereas Type 2 shows organic peaks in the same order of magnitude as NO+ (Fig. 7). Figure 9 presents the occurrence of Secondary Types 1 and 2 as a function of altitude and potential temperature. This figure shows the cumulative particle fraction (PF, left panels) and the scaled number concentration (PF⋅N0, right panels) of the two particle types. The size-resolved particle fraction of these particle types is given in Fig. 10. Note that in Fig. 10, the Primary/Mixed Type is restricted to particles found in the ATAL, since BL aerosol and meteoric dust are not the focus of this study.

Figure 7Bipolar mean spectra of the ERICA-LAMS particle types: (a) Secondary Type 1 (averaged over 33 420 particles), (b) Secondary Type 2 (averaged over 6219 particles).


Figure 8Bipolar mean spectra of the ERICA-LAMS particles containing primary components (Primary/Mixed Type): (a) in the stratosphere (averaged over 22 493 particles), (b) in the ATAL (averaged over 16 061 particles), and (c) in the boundary layer (averaged over 12 044 particles).


Figure 9Vertically resolved fraction and number concentration of the identified particle types measured by the ERICA-LAMS as a function of (a) GPS altitude and (b) potential temperature θ. The identified particle types are Secondary Type 1 (red), Secondary Type 2 (orange), and Primary or Mixed Type (dark gray). The unidentified particles are given in light gray in the left panels (see Sect. S2.1). The left panels represent the cumulative particle fractions (PF) of the particle types. The right panels represent the scaled ERICA-LAMS number concentrations (PF⋅N0) of the particle types. In the right panels, the top axis refers to the Secondary Type 2 and the bottom axis refers to the Secondary Type 1 and the Primary/Mixed Type. Uncertainty analysis is given in Sect. S2.2 in the Supplement.


Figure 10Size-resolved fraction of the identified particle types as measured by the ERICA-LAMS. The figure represents the cumulative particle fraction of the identified particle types: Secondary Type 1 (red) and Secondary Type 2 (orange), as well as the total number of analyzed particles per bin (dark green). The distribution of Primary/Mixed Type particles (dark gray) is limited to particles in the ATAL; thus the fractions do not add up to 1. Uncertainty analysis is provided in Sect. S2.2. This graph does not show the complete size distribution of the ambient aerosol, the lower cutoff in particular is strongly influenced by the ability to detect small particles with ERICA.


We found that the Secondary Type 1 is predominantly abundant within the ATAL, with a maximum particle fraction of 70 % by number (Fig. 9). In contrast, in the BL and FT, the abundance of Type 1 is low, while Type 2 shows maximum fraction and number concentration. With increasing altitude within the ATAL, the abundance of Type 1 increases and reaches maximum values between 380 and 400 K (between 17 and 18 km). Above 400 K potential temperature, the abundance of Type 1 decreases again with θ and in the lower stratosphere (above 440 K) this particle type is not found. Thus, the Secondary Type 1 (with the dominant NO+ ion peak in the cation spectrum) is the dominant particle type in the ATAL region, consistent with the high mass fraction of AN measured by the ERICA-AMS. Nevertheless, particles containing primary components are present within the ATAL (Figs. 8b and 9). However, these particles also contain secondary material similar to the purely Secondary Type 1 (Fig. 8b) and only contribute a minor fraction to the number of analyzed particles between 370 and 400 K (Fig. 9b). Together, the external mixing of the Secondary Type 1 and the Primary/Mixed Type suggests that the dominant fraction of particles within the ATAL is formed via secondary processes, hence, independent of pre-existing transported primary particles. Consistent with this result, the size distribution of the Secondary Type 1 exhibits smaller diameters compared to the distribution of primary particles in the ATAL (Fig. 10).

The single-particle analysis of the Secondary Type 1 shows the presence of particulate organics in the ATAL (Fig. 7a). By using the ERICA-AMS measurements, we further investigate whether these organics result from primary emissions or secondary formation. For each data point, the fraction of the organic signal at m/z +44 to the total organic signal (f44) is plotted against the fraction of organic m/z +43 to total organic signal (f43) in Fig. 11. The relationship between f44 and f43 is a proxy for the degree of oxidation of organic aerosol particles (see Sect. S1.6 in the Supplement and Ng et al.2010). We averaged the data over 90 s and only displayed values where the total organic signal as well as the organic signals at m/z +43 and +44 are above the detection limit, since fractions of numbers below the limit of detection are very noise-sensitive and contain no information. Figure 11 additionally shows median and interquartile ranges of f44 and f43 for different altitude regimes (BL, lower ATAL, middle ATAL, upper ATAL). The organic aerosol within the ATAL shows a large variability in the values of f44 and f43, indicating the presence of aerosol particles with a wide range of aging states and/or from different sources (Ng et al.2010, 2011). However, our observations of high f44 (>0.05) and low f43 values are consistent with expectations about secondary organics that have experienced oxidative aging, as demonstrated by Ng et al. (2011). Together with the single-particle measurements, we thus have several indications suggesting that the ATAL composition is largely controlled by secondary organic and inorganic aerosol formation. Our findings complement concurrent in situ observations of particle microphysical properties by Mahnke et al. (2021) and Weigel et al. (2021b), demonstrating that new particle formation and subsequent particle growth by condensation and coagulation take place in the lower ATAL region below the tropopause (see Fig. 3).

Figure 11Graph showing the ratios f44 vs. f43 as indication for the degree of oxidation of the organic aerosol (color-coded with respect to potential temperature). Among all data points, where the total organic signal as well as the organic signals at m/z 43 and 44 are above the detection limit, we present the median values for the BL (θ<320K), the lower ATAL (355–370 K), the middle ATAL (370–390 K), and the upper ATAL (390–420 K) in a box representing the corresponding 25th and 75th percentiles. For the median values, all data points where organics are above the detection limit are considered. Black lines show the triangular area according to the criteria introduced by Ng et al. (2010).


Nevertheless, the abundance of potassium, iron, and elemental carbon in the mean spectrum of the primary ATAL aerosol (Fig. 8b) indicates that primary emitted BL particles, likely from biomass burning (e.g., Silva et al.1999; Pratt et al.2011), anthropogenic emissions (e.g., Guazzotti et al.2003), and mineral dust (e.g., Schmidt et al.2017), can also be transported within the AMA into the tropopause region (e.g., Hudson et al.2004; Schill et al.2020). In addition, the presence of iron in the primary ATAL aerosol particles (Fig. 8b) mainly originates from meteoric material that is transported from above into the upper ATAL region (Schneider et al.2021). A detailed analysis of the measured primary particles and their vertical uplift within the AMA is the subject of a follow-up study.

3.4 Measurements of particulate organosulfates

To gain further insight into the composition of SOA within the ATAL, our single-particle measurements by the ERICA-LAMS can be used as well. According to earlier studies, the LDI technique is able to detect the molecular identity of some organic compounds, e.g., organosulfates (OS), which are known as tracers for SOA (Froyd et al.2010; Hatch et al.2011a, b; Liao et al.2015). During the StratoClim aircraft campaign in 2017, we observed a significant fraction of particles containing OS in the ATAL and even in the lower stratosphere. The most abundant marker ion in the single-particle spectra is given by m/z 155 (C2H3O2SO4-), suggesting the presence of glyoxal sulfate or glycolic acid sulfate (GA sulfate; Froyd et al.2010; Surratt et al.2008; Galloway et al.2009; Hatch et al.2011a; Liao et al.2015). The isotopic ratio of the m/z 155 and m/z 157 signal of 0.06 is in line with the isotopic abundance of the sulfur (and oxygen) isotopes. We found that 21 % (by number) of all analyzed particles contain GA sulfate. The mean bipolar spectra of this particle type in the stratosphere and in the ATAL are given in Fig. 12. Within the ATAL, GA sulfate is largely mixed internally with ammonium and nitrate (Fig. 12b), whereas in the stratosphere, GA sulfate is found on particles containing meteoric material and sulfuric acid (Fig. 12a; Schneider et al.2021).

Figure 12Bipolar mean spectra of the ERICA-LAMS particles containing organosulfates (here: glyoxal or glycolic acid sulfate evident by the abundance of m/z 155 in single-particle spectra) in (a) the stratosphere above 420 K potential temperature (averaged over 2354 particles) and (b) the ATAL between 355 and 420 K (averaged over 11 176 particles).


Figure 13 shows the vertical profile of number fraction and scaled number concentration PF⋅N0 of particles containing GA sulfate identified by a peak at m/z 155. These particles are mostly present in the ATAL, particularly in the upper ATAL region. The formation of GA sulfate is dependent on the availability of precursor gases, NOx levels above 1 ppb (Surratt et al.2008; Froyd et al.2010; Wennberg2013), and the formation of GA sulfate is enhanced at high aerosol acidity (Froyd et al.2010). Consistently, medium to high volume mixing ratios of NO (as proxy for NOx) were observed within the ATAL as measured by SIOUX, ranging between 0.5 and 5 ppbv with maximum values of up to 20 ppbv in very fresh convective outflow. Comparing Figs. 6 and 13, we can further conclude that the number fraction of particles containing GA sulfate increases with increasing aerosol acidity above 400 K (above 18 km). In line with this is the observation that the ERICA-LAMS spectra of the GA sulfate particles also concurrently exhibit ion peaks at m/z 195 and 97 (H(HSO4)2- and HSO4-, respectively), which indicates the presence of acidic sulfate in the single particles (Yao et al.2011). Gas-phase organic precursors of GA sulfate are diverse and as such, the subject of various laboratory and modeling studies (e.g., Surratt et al.2008; Galloway et al.2009; Schindelka et al.2013; Liao et al.2015; Brüggemann et al.2020). The authors discuss glyoxal, glycolic acid, and methyl vinyl ketone together with their precursors (e.g., isoprene, ethene, acetic acid, acetylene, and aromatic compounds) from anthropogenic and biogenic sources as potential candidates. The mixing ratios of acetylene measured with the GLORIA instrument feature increased values in the upper troposphere and even in the lower stratosphere (Johansson et al.2020). In summary, we have indications that the abundance of SOA within the ATAL can partly be attributed to the formation of OS in this region.

Figure 13Vertically resolved fraction and number concentration of the particles containing organosulfates (here: glyoxal or glycolic acid sulfate evident by the abundance of m/z 155 in single-particle spectra) detected by the ERICA-LAMS as a function of (a) GPS altitude and (b) potential temperature θ. The left panels represent the particle fraction (PF) of the particle type. The right panels represent the scaled ERICA-LAMS number concentrations (PF⋅N0). Uncertainty analysis is given in Sect. S2.2.


3.5 Photochemical processing of organic aerosol within the ATAL and the lower stratosphere

Particle composition in the ATAL is further influenced by photochemical processing of aerosol particles, along with the vertical uplift of air masses even reaching across the tropopause. By using the ERICA-AMS measurements, we calculated the ratio R44/43 as the fraction of f44 to f43 to show the degree of oxidation of the organic aerosol as a function of altitude (Fig. 14; see Sect. S1.6 for further details). In the BL and lower troposphere, the ratio is relatively constant. Within the ATAL, the ratio increases significantly with altitude and potential temperature, demonstrating the increasing degree of oxidative aging of organic species (Fig. 14). We thus conclude that particles formed in the lower ATAL region are further uplifted and thereby subject to extensive oxidative aging until a potential temperature of 440 K is reached. The ensuing vertical transport of air masses above the Asian monsoon has been demonstrated previously by several modeling studies (e.g., Pan et al.2016; Ploeger et al.2017; Vogel et al.2019). Above the main convective outflow of the AMA (∼360K), radiative heating is the main process driving vertical transport until ∼460K with about 1–1.5 K d−1 (Ploeger et al.2017; Vogel et al.2019). We have indications that SOA formation is ongoing in the lower stratosphere within the vertically uplifted air. At these altitudes, stratospheric background air gains in influence and mixes with the uplifted AMA air (Vogel et al.2019). This dilution process results in decreasing concentrations of ammonium, nitrate, and organic aerosol particles. However, we observed that the mass fraction and mass concentration shows a less steep decrease towards altitudes above 18 km or 420 K for organic aerosol than for nitrate (Figs. 15 and 2). This might be explained by ongoing SOA formation above the tropopause, competing with the dilution process and in turn, extending the vertical profile of organic matter towards higher altitudes compared to nitrate. This hypothesis is supported by GLORIA measurements of the precursor gases acetylene and ammonia (Johansson et al.2020; Höpfner et al.2019, respectively) and measurements of the precursor gas NO (Fig. 5). Observations show that acetylene and NO can reach the altitude of the tropopause and above (Fig. 2g in Johansson et al.2020), while ammonia as precursor gas of AN shows enhanced concentrations at a maximum altitude of 15 km (Fig. 3d in Höpfner et al.2019). Thus, organic precursor gases are still available even above the tropopause, while ammonia is not available in relevant concentrations. A possible explanation for the difference in the vertical distribution of acetylene and ammonia can be found in their lifetime. Ammonia reacts fast with sulfuric acid or nitric acid, whereas acetylene has a lifetime of about 2 weeks (Johansson et al.2020).

Figure 14Vertical profiles with median and interquartile ranges of the fraction R44/43 derived from the ERICA-AMS measurements as a function of (a) GPS altitude and (b) potential temperature θ. Values above 18.5 km or 420 K are uncertain due to low organic signals, which are very sensitive to CO2 corrections. Only data points are shown where values of organic mass concentration as well as org44 and org43 signals are above the detection limit of the corresponding vertical bins. This condition is not fulfilled above 19 km and 440 K.


Figure 15Vertical profiles of the cumulative mass fraction of particulate organics (green), nitrate (blue), sulfate (red), and ammonium (yellow) from the ERICA-AMS as a function of (a) GPS altitude and (b) potential temperature θ.


Consistent with this, we observed the presence of GA sulfate in the lower stratosphere, resulting in a maximum fraction of more than 30 % of the particles to contain GA sulfate at 420 K (Fig. 13). This is in line with earlier studies demonstrating that the formation of GA sulfate is supported by high aerosol acidity, as found in high altitudes (Liao et al.2015). The maximum fraction of GA sulfate containing particles at 420 K (Fig. 13) is likely formed when precursor gases from below encounter highly acidic sulfate particles from the stratosphere (Liao et al.2015). However, the abundance of GA sulfate particles decreases in the lower stratosphere, which implies that at a certain point the formation of GA sulfate is also limited by the amount of gas-phase precursors from below, rather than by aerosol acidity. Together, we conclude that organic aerosol in the lower stratosphere above the AMA is partly controlled by secondary formation of OS, which in turn is driven by the presence of stratospheric acidic aerosol and the availability of precursor gases from the AMA uplift.

4 Conclusions

The chemical nature of the ATAL has been the subject of controversial discussions in the past decade. Modeling and observational (including satellites) studies provided evidence that the main constituents are sulfates, organics, nitrates, and ammonium (Fadnavis et al.2013; Neely et al.2014; Yu et al.2015; Gu et al.2016; Lelieveld et al.2018; Fairlie et al.2020), while others discussed the importance of mineral dust and black carbon aerosol (Fadnavis et al.2013; Lau et al.2018; Brühl et al.2018; Ma et al.2019; Yuan et al.2019; Bossolasco et al.2021). Motivated by the limited knowledge of chemical particle composition within the ATAL, we conducted in situ aerosol mass spectrometric measurements at high altitudes (up to 20 km or 480 K in potential temperature) in the summertime AMA. The novel, hybrid aerosol mass spectrometer ERICA was deployed on the Russian high-altitude research aircraft M-55 Geophysica for eight research flights during the StratoClim field campaign based in Kathmandu, Nepal, from 27 July until 10 August 2017. The presence of the aerosol layer with increased concentrations of particulate nitrate, ammonium, and organics in the altitude range between 11 and 19 km (corresponding to ∼355 and 420 K) could be demonstrated by means of the mass spectrometric in situ measurements. The layer thus ranges from below to well above the thermal tropopause, which can be found at about 380 K. For organics, concentrations above the detection limit are found even at potential temperatures slightly higher than 420 K. The vertical profile of particulate sulfate did not exhibit a layered structure since the sulfate mass concentration increased steadily with altitude up to 20 km. The existence of the ATAL was also evident in the same altitude range from the concurrent measurements of the condensation particle counter COPAS (detecting particles larger than ∼10nm) as well as the optical particle counter UHSAS-A (for particles larger than ∼65nm). Apparently, nitrate and organics are the dominant non-refractory components of the ATAL. For both, a concentration of around 0.8 µg m−3 (NTP) was found as median values over the whole campaign. The organics play a comparable role to nitrate for the ATAL formation and persistence. Analyses of the concurrent availability of ammonium, nitrate, and sulfate showed that particles found up to an altitude of 18 km (∼400K) contain sufficient ammonium for completely neutralizing sulfate and nitrate. Up to 19 km (∼420K), ammonium was still detected, but not in sufficient amounts for full neutralization. However, in these analyses the possible existence of organic acids could not be considered due to the lack of suitable measurements.

Our in situ observations of particle composition show for the first time that the ATAL is largely influenced by organic and inorganic secondary aerosol formation. We have three main pieces of evidence. First, by means of the LDI technique (the ERICA-LAMS), we found a dominant fraction (up to 70 % by number) of purely secondary particles, particularly in the ATAL. These particles were characterized by an internal mixture of nitrate, ammonium, sulfate, and organic matter; and as such are externally mixed with primary components (e.g., potassium and elemental carbon). Second, the size distribution of these Secondary Type particles shows a maximum at lower sizes compared to particles containing primary components in the ATAL. Third, our observations by the ERICA-AMS show medium to high values of f44 (>0.05) within the ATAL, indicating the predominance of secondary organics that have experienced oxidative aging, rather than fresh primary organics. Moreover, we found that organic matter in the ATAL can partly be identified by the ERICA-LAMS as OS, which are known tracers for SOA. Particles containing glyoxal or glycolic acid sulfate (GA sulfate) show a maximum fraction in the upper ATAL region and lower stratosphere (380–420 K). This result might be explained by the uplift of organic precursor gases from below that encounter stratospheric acidic sulfate aerosol. The abundance of particles containing GA sulfate in the upper ATAL coincides with an increase in aerosol acidity as obtained from ERICA-AMS measurements. Consistent with this, the single-particle mass spectra show an internal mixture of GA sulfate with acidic sulfate, partly associated with material that can be identified as meteoric dust. Furthermore, we occasionally observed medium to high NO-regimes (>1ppb with maximum values of 20 ppb) in the ATAL, which is in line with results from earlier studies on the formation of GA sulfate. We demonstrated that the degree of oxidation of organic aerosol measured by the ERICA-AMS increases with altitude and potential temperature above 12 km. In particular, the measurements show that the particles in the upper ATAL and lower stratosphere reached higher degrees of oxidation than in the lower ATAL. This indicates that particles formed in the lower ATAL are uplifted and thereby exposed to extensive oxidative aging, consistent with earlier studies demonstrating the slow vertical uplift of AMA air in an anticyclonic spiralling motion from ∼360 up to ∼460K (Ploeger et al.2017; Vogel et al.2019).

Inherent in the adopted experimental techniques, which rely on the detection of relatively small molecule fragments, is the well-known disadvantage of not being able to unambiguously identify individual particle components (especially organic species). This is an important task for future instrumental development. Additionally, the data set from these eight research flights merely represents a fairly short period within only one AMA season. Further, detailed in situ measurements inside the AMA are needed, especially from the side of the Tibetan plateau as well. Moreover, dedicated research on the processing of the aerosol and trace gases in the outflow regions of the AMA is necessary to assess the effects on radiation and cloud formation and the longer-term implications of the aerosol generated within the AMA. Another open question is, how much of the aerosol actually reaches the tropical pipe entering further vertical uplift or even the stratospheric Junge layer. Taken together, our experiments provided the first details on the chemical composition of the ATAL, especially with respect to secondary aerosol, and the results indicate the important role of secondary organic and inorganic particle formation for the presence of the ATAL.

Data availability

ERICA mass spectrometry data are available from the Edmond database (; Appel2022a) and will be additionally available from the HALO database (HALO-DB) (,, last access: 10 September 2022; Appel2022b) in the near future.


The supplement related to this article is available online at:

Author contributions

OA performed the ERICA-AMS analysis and generated the corresponding graphs, FK performed the ERICA-LAMS analysis and generated the corresponding graphs. Instrument development and operation during the campaign was done by AD, SM, OA, AH, and SB. RW and CM operated and evaluated the data of COPAS and UHSAS-A, respectively. HS provided the NO data from SIOUX. FD and CS gave critical input for understanding and interpreting the ERICA-AMS data of the new ERICA instrument and provided help for solving instrumental issues. MP analyzed the cloud data and generated the cloud mask for data selection. FS managed campaign operation, especially the design of the flight paths to achieve the scientific goals. BV provided expertise on the Asian monsoon dynamics. The manuscript was written by SB, FK, and OA. All authors commented on the manuscript.

Competing interests

The contact author has declared that none of the authors has any competing interests.


Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.


We thank the workshops of the Max Planck Institute for Chemistry and of the Institute for Physics of the Atmosphere (Mainz University) as well as Thomas Böttger for building and implementing our instruments on the M-55 Geophysica, and Anneke M. Batenburg (now at the Dutch National Institute for Public Health and the Environment, Netherlands) for her valuable help during the field campaign and data collection. Also, we gratefully acknowledge Tofwerk AG (Switzerland) for their essential support, particularly Mike Cubison for customizing “Tofware”. Felix Plöger (IEK-7, Forschungszentrum Jülich GmbH, Jülich Germany) provided the equivalent latitude data which we gratefully acknowledge. We would like to express our gratitude to Markus Rex (Alfred Wegener Institut – Helmholtz Zentrum für Polar und Meeresforschung) for managing the entire StratoClim project. We gratefully acknowledge the crew of MDB (Myasishchev Design Bureau) and the M-55 Geophysica pilots for their engagement and dedication. Finally, we extend our most sincere thanks to Nepalese government authorities, involved research institutions, and the Tribhuvan Airport, as well as the German Embassy, for their outstanding, extraordinary support, and their fabulous hospitality that enabled our field campaign and research.

Financial support

The StratoClim project was funded by the EU (FP7/2007-2013, grant no. 603557) and supported by the German Federal Ministry of Education and Research (BMBF) under the ROMIC-project SPITFIRE (grant no. 01LG1205A). The work on ERICA was financed by the European Research Council, Seventh Framework Programme (FP7/2007–2013), ERC grant no. 321040 (“EXCATRO”) and supported by the Max Planck Society. The presented work includes contributions of the NSFC–DFG 2020 project ATAL-track (grant nos. BO 1829/12-1 and VO 1276/6-1).

The article processing charges for this open-access publication were covered by the Max Planck Society.

Review statement

This paper was edited by Jianzhong Ma and reviewed by two anonymous referees.


Andreae, M. O., Afchine, A., Albrecht, R., Holanda, B. A., Artaxo, P., Barbosa, H. M. J., Borrmann, S., Cecchini, M. A., Costa, A., Dollner, M., Fütterer, D., Järvinen, E., Jurkat, T., Klimach, T., Konemann, T., Knote, C., Krämer, M., Krisna, T., Machado, L. A. T., Mertes, S., Minikin, A., Pöhlker, C., Pöhlker, M. L., Pöschl, U., Rosenfeld, D., Sauer, D., Schlager, H., Schnaiter, M., Schneider, J., Schulz, C., Spanu, A., Sperling, V. B., Voigt, C., Walser, A., Wang, J., Weinzierl, B., Wendisch, M., and Ziereis, H.: Aerosol characteristics and particle production in the upper troposphere over the Amazon Basin, Atmos. Chem. Phys., 18, 921–961,, 2018. a

Appel, O.: ERICA-MS-Data StratoClim2017, Edmond [data set],, 2022a. a

Appel, O.: ERICA-MS-Data StratoClim2017, halo-db [data set],, 2022b. a

Barth, M. C., Stuart, A. L., and Skamarock, W. C.: Numerical simulations of the July 10, 1996, Stratospheric-Tropospheric Experiment: Radiation, Aerosols, and Ozone (STERAO)-Deep Convection experiment storm: Redistribution of soluble tracers, J. Geophys. Res.-Atmos., 106, 12381–12400,, 2001. a

Barth, M. C., Kim, S.-W., Skamarock, W. C., Stuart, A. L., Pickering, K. E., and Ott, L. E.: Simulations of the redistribution of formaldehyde, formic acid, and peroxides in the 10 July 1996 Stratospheric-Tropospheric Experiment: Radiation, Aerosols, and Ozone deep convection storm, J. Geophys. Res.-Atmos., 112, D13310,, 2007a. a

Barth, M. C., Kim, S.-W., Wang, C., Pickering, K. E., Ott, L. E., Stenchikov, G., Leriche, M., Cautenet, S., Pinty, J.-P., Barthe, Ch., Mari, C., Helsdon, J. H., Farley, R. D., Fridlind, A. M., Ackerman, A. S., Spiridonov, V., and Telenta, B.: Cloud-scale model intercomparison of chemical constituent transport in deep convection, Atmos. Chem. Phys., 7, 4709–4731,, 2007b. a

Bela, M. M., Barth, M. C., Toon, O. B., Fried, A., Homeyer, C. R., Morrison, H., Cummings, K. A., Li, Y., Pickering, K. E., Allen, D. J., Yang, Q., Wennberg, P. O., Crounse, J. D., St. Clair, J. M., Teng, A. P., O'Sullivan, D., Huey, L. G., Chen, D., Liu, X., Blake, D. R., Blake, N. J., Apel, E. C., Hornbrook, R. S., Flocke, F., Campos, T., and Diskin, G.: Wet scavenging of soluble gases in DC3 deep convective storms using WRF-Chem simulations and aircraft observations, J. Geophys. Res.-Atmos., 121, 4233–4257,, 2016. a

Borrmann, S., Kunkel, D., Weigel, R., Minikin, A., Deshler, T., Wilson, J. C., Curtius, J., Volk, C. M., Homan, C. D., Ulanovsky, A., Ravegnani, F., Viciani, S., Shur, G. N., Belyaev, G. V., Law, K. S., and Cairo, F.: Aerosols in the tropical and subtropical UT/LS: in-situ measurements of submicron particle abundance and volatility, Atmos. Chem. Phys., 10, 5573–5592,, 2010. a

Bossolasco, A., Jegou, F., Sellitto, P., Berthet, G., Kloss, C., and Legras, B.: Global modeling studies of composition and decadal trends of the Asian Tropopause Aerosol Layer, Atmos. Chem. Phys., 21, 2745–2764,, 2021. a

Brands, M., Kamphus, M., Böttger, T., Schneider, J., Drewnick, F., Roth, A., Curtius, J., Voigt, C., Borbon, A., Beekmann, M., Bourdon, A., Perrin, T., and Borrmann, S.: Characterization of a Newly Developed Aircraft-Based Laser Ablation Aerosol Mass Spectrometer (ALABAMA) and First Field Deployment in Urban Pollution Plumes over Paris During MEGAPOLI 2009, Aerosol Sci. Tech., 45, 46–64,, 2011. a, b

Brenninkmeijer, C. A. M., Crutzen, P., Boumard, F., Dauer, T., Dix, B., Ebinghaus, R., Filippi, D., Fischer, H., Franke, H., Frieß, U., Heintzenberg, J., Helleis, F., Hermann, M., Kock, H. H., Koeppel, C., Lelieveld, J., Leuenberger, M., Martinsson, B. G., Miemczyk, S., Moret, H. P., Nguyen, H. N., Nyfeler, P., Oram, D., O'Sullivan, D., Penkett, S., Platt, U., Pupek, M., Ramonet, M., Randa, B., Reichelt, M., Rhee, T. S., Rohwer, J., Rosenfeld, K., Scharffe, D., Schlager, H., Schumann, U., Slemr, F., Sprung, D., Stock, P., Thaler, R., Valentino, F., van Velthoven, P., Waibel, A., Wandel, A., Waschitschek, K., Wiedensohler, A., Xueref-Remy, I., Zahn, A., Zech, U., and Ziereis, H.: Civil Aircraft for the regular investigation of the atmosphere based on an instrumented container: The new CARIBIC system, Atmos. Chem. Phys., 7, 4953–4976,, 2007. a

Brüggemann, M., Xu, R., Tilgner, A., Kwong, K. C., Mutzel, A., Poon, H. Y., Otto, T., Schaefer, T., Poulain, L., Chan, M. N., and Herrmann, H.: Organosulfates in Ambient Aerosol: State of Knowledge and Future Research Directions on Formation, Abundance, Fate, and Importance, Environ. Sci. Technol., 54, 3767–3782,, 2020. a

Brühl, C., Schallock, J., Klingmüller, K., Robert, C., Bingen, C., Clarisse, L., Heckel, A., North, P., and Rieger, L.: Stratospheric aerosol radiative forcing simulated by the chemistry climate model EMAC using Aerosol CCI satellite data, Atmos. Chem. Phys., 18, 12845–12857,, 2018. a

Brunamonti, S., Jorge, T., Oelsner, P., Hanumanthu, S., Singh, B. B., Kumar, K. R., Sonbawne, S., Meier, S., Singh, D., Wienhold, F. G., Luo, B. P., Boettcher, M., Poltera, Y., Jauhiainen, H., Kayastha, R., Karmacharya, J., Dirksen, R., Naja, M., Rex, M., Fadnavis, S., and Peter, T.: Balloon-borne measurements of temperature, water vapor, ozone and aerosol backscatter on the southern slopes of the Himalayas during StratoClim 2016–2017, Atmos. Chem. Phys., 18, 15937–15957,, 2018. a

Bucci, S., Legras, B., Sellitto, P., D'Amato, F., Viciani, S., Montori, A., Chiarugi, A., Ravegnani, F., Ulanovsky, A., Cairo, F., and Stroh, F.: Deep-convective influence on the upper troposphere–lower stratosphere composition in the Asian monsoon anticyclone region: 2017 StratoClim campaign results, Atmos. Chem. Phys., 20, 12193–12210,, 2020. a, b, c

Canagaratna, M., Jayne, J., Jimenez, J., Allan, J., Alfarra, M., Zhang, Q., Onasch, T., Drewnick, F., Coe, H., Middlebrook, A., Delia, A., Williams, L., Trimborn, A., Northway, M., DeCarlo, P., Kolb, C., Davidovits, P., and Worsnop, D.: Chemical and microphysical characterization of ambient aerosols with the aerodyne aerosol mass spectrometer, Mass Spectrom. Rev., 26, 185–222,, 2007. a

Dragoneas, A., Molleker, S., Appel, O., Hünig, A., Böttger, T., Hermann, M., Drewnick, F., Schneider, J., Weigel, R., and Borrmann, S.: The realization of autonomous, aircraft-based, real-time aerosol mass spectrometry in the upper troposphere and lower stratosphere, Atmos. Meas. Tech., 15, 5719–5742,, 2022. a, b, c, d

Drewnick, F., Hings, S. S., DeCarlo, P., Jayne, J. T., Gonin, M., Fuhrer, K., Weimer, S., Jimenez, J. L., Demerjian, K. L., Borrmann, S., and Worsnop, D. R.: A New Time-of-Flight Aerosol Mass Spectrometer (TOF-AMS)–Instrument Description and First Field Deployment, Aerosol Sci. Tech., 39, 637–658,, 2005. a

Drewnick, F., Hings, S. S., Alfarra, M. R., Prevot, A. S. H., and Borrmann, S.: Aerosol quantification with the Aerodyne Aerosol Mass Spectrometer: detection limits and ionizer background effects, Atmos. Meas. Tech., 2, 33–46,, 2009. a

Fadnavis, S., Semeniuk, K., Pozzoli, L., Schultz, M. G., Ghude, S. D., Das, S., and Kakatkar, R.: Transport of aerosols into the UTLS and their impact on the Asian monsoon region as seen in a global model simulation, Atmos. Chem. Phys., 13, 8771–8786,, 2013. a, b, c, d, e

Fadnavis, S., Roy, C., Chattopadhyay, R., Sioris, C. E., Rap, A., Müller, R., Kumar, K. R., and Krishnan, R.: Transport of trace gases via eddy shedding from the Asian summer monsoon anticyclone and associated impacts on ozone heating rates, Atmos. Chem. Phys., 18, 11493–11506,, 2018. a

Fadnavis, S., Sabin, T. P., Roy, C., Rowlinson, M., Rap, A., Vernier, J.-P., and Sioris, C. E.: Elevated aerosol layer over South Asia worsens the Indian droughts, Sci- Rep.-UK, 9, 10268,, 2019. a

Fairlie, T. D., Liu, H., Vernier, J.-P., Campuzano-Jost, P., Jimenez, J. L., Jo, D. S., Zhang, B., Natarajan, M., Avery, M. A., and Huey, G.: Estimates of Regional Source Contributions to the Asian Tropopause Aerosol Layer Using a Chemical Transport Model, J. Geophys. Res.-Atmos., 125, e2019JD031506,, 2020. a, b, c

Froyd, K. D., Murphy, S. M., Murphy, D. M., de Gouw, J. A., Eddingsaas, N. C., and Wennberg, P. O.: Contribution of isoprene-derived organosulfates to free tropospheric aerosol mass, P. Natl. Acad. Sci. USA, 107, 21360–21365,, 2010. a, b, c, d

Fujiwara, M., Sakai, T., Nagai, T., Shiraishi, K., Inai, Y., Khaykin, S., Xi, H., Shibata, T., Shiotani, M., and Pan, L. L.: Lower-stratospheric aerosol measurements in eastward-shedding vortices over Japan from the Asian summer monsoon anticyclone during the summer of 2018, Atmos. Chem. Phys., 21, 3073–3090,, 2021. a

Galloway, M. M., Chhabra, P. S., Chan, A. W. H., Surratt, J. D., Flagan, R. C., Seinfeld, J. H., and Keutsch, F. N.: Glyoxal uptake on ammonium sulphate seed aerosol: reaction products and reversibility of uptake under dark and irradiated conditions, Atmos. Chem. Phys., 9, 3331–3345,, 2009. a, b

Garny, H. and Randel, W. J.: Transport pathways from the Asian monsoon anticyclone to the stratosphere, Atmos. Chem. Phys., 16, 2703–2718,, 2016. a

Ge, C., Zhu, C., Francisco, J. S., Zeng, X. C., and Wang, J.: A molecular perspective for global modeling of upper atmospheric NH3 from freezing clouds, P. Natl. Acad. Sci. USA, 115, 6147–6152,, 2018. a

Gu, Y., Liao, H., and Bian, J.: Summertime nitrate aerosol in the upper troposphere and lower stratosphere over the Tibetan Plateau and the South Asian summer monsoon region, Atmos. Chem. Phys., 16, 6641–6663,, 2016. a, b, c

Guazzotti, S. A., Suess, D. T., Coffee, K. R., Quinn, P. K., Bates, T. S., Wisthaler, A., Hansel, A., Ball, W. P., Dickerson, R. R., Neusüß, C., Crutzen, P. J., and Prather, K. A.: Characterization of carbonaceous aerosols outflow from India and Arabia: Biomass/biofuel burning and fossil fuel combustion, J. Geophys. Res.-Atmos., 108, 4485,, 2003. a

Hanumanthu, S., Vogel, B., Müller, R., Brunamonti, S., Fadnavis, S., Li, D., Ölsner, P., Naja, M., Singh, B. B., Kumar, K. R., Sonbawne, S., Jauhiainen, H., Vömel, H., Luo, B., Jorge, T., Wienhold, F. G., Dirkson, R., and Peter, T.: Strong day-to-day variability of the Asian Tropopause Aerosol Layer (ATAL) in August 2016 at the Himalayan foothills, Atmos. Chem. Phys., 20, 14273–14302,, 2020. a, b

Hatch, L. E., Creamean, J. M., Ault, A. P., Surratt, J. D., Chan, M. N., Seinfeld, J. H., Edgerton, E. S., Su, Y., and Prather, K. A.: Measurements of Isoprene-Derived Organosulfates in Ambient Aerosol by Aerosol Time-of-Flight Mass Spectrometry – Part 1: Single Particle Atmospheric Observations in Atlanta, Environ. Sci. Technol., 40, 5105–5111;, 2011a. a, b

Hatch, L. E., Creamean, J. M., Ault, A. P., Surratt, J. D., Chan, M. N., Seinfeld, J. H., Edgerton, E. S., Su, Y., and Prather, K. A.: Measurements of Isoprene-Derived Organosulfates in Ambient Aerosols by Aerosol Time-of-Flight Mass Spectrometry – Part 2: Temporal Variability and Formation Mechanisms, Environ. Sci. Technol., 45, 8648–8655,, 2011b. a

Hinz, K. P., Greweling, M., Drews, F., and Spengler, B.: Data processing in on-line laser mass spectrometry of inorganic, organic, or biological airborne particles, J. Am. Soc. Mass Spectr., 10, 648–660,, 1999. a

Hock, N., Schneider, J., Borrmann, S., Römpp, A., Moortgat, G., Franze, T., Schauer, C., Pöschl, U., Plass-Dülmer, C., and Berresheim, H.: Rural continental aerosol properties and processes observed during the Hohenpeissenberg Aerosol Characterization Experiment (HAZE2002), Atmos. Chem. Phys., 8, 603–623,, 2008. a

Hoog, I., Mitra, S. K., Diehl, K., and Borrmann, S.: Laboratory studies about the interaction of ammonia with ice crystals at temperatures between 0 and 20 C, J. Atmos. Chem., 57, 73–84,, 2007. a

Höpfner, M., Volkamer, R., Grabowski, U., Grutter, M., Orphal, J., Stiller, G., von Clarmann, T., and Wetzel, G.: First detection of ammonia (NH3) in the Asian summer monsoon upper troposphere, Atmos. Chem. Phys., 16, 14357–14369,, 2016. a, b

Höpfner, M., Ungermann, J., Borrmann, S., Wagner, R., Spang, R., Riese, M., Stiller, G., Appel, O., Batenburg, A. M., Bucci, S., Cairo, F., Dragoneas, A., Friedl-Vallon, F., Hünig, A., Johansson, S., Krasauskas, L., Legras, B., Leisner, T., Mahnke, C., Möhler, O., Molleker, S., Müller, R., Neubert, T., Orphal, J., Preusse, P., Rex, M., Saathoff, H., Stroh, F., Weigel, R., and Wohltmann, I.: Ammonium nitrate particles formed in upper troposphere from ground ammonia sources during Asian monsoons, Nat. Geosci., 12, 608–612,, 2019. a, b, c, d, e, f, g, h

Hudson, P. K., Murphy, D. M., Cziczo, D. J., Thomson, D. S., de Gouw, J. A., Warneke, C., Holloway, J., Jost, H.-J., and Hübler, G.: Biomass-burning particle measurements: Characteristic composition and chemical processing, J. Geophys. Res., 109, D23S27,, 2004. a

Hünig, A., Appel, O., Dragoneas, A., Molleker, S., Clemen, H.-C., Helleis, F., Klimach, T., Köllner, F., Böttger, T., Drewnick, F., Schneider, J., and Borrmann, S.: Design, characterization, and first field deployment of a novel aircraft-based aerosol mass spectrometer combining the laser ablation and flash vaporization techniques, Atmos. Meas. Tech., 15, 2889–2921,, 2022. a, b, c, d, e, f

Jimenez, J. L., Canagaratna, M. R., Donahue, N. M., Prevot, A. S. H., Zhang, Q., Kroll, J. H., DeCarlo, P. F., Allan, J. D., Coe, H., Ng, N. L., Aiken, A. C., Docherty, K. S., Ulbrich, I. M., Grieshop, A. P., Robinson, A. L., Duplissy, J., Smith, J. D., Wilson, K. R., Lanz, V. A., Hueglin, C., Sun, Y. L., Tian, J., Laaksonen, A., Raatikainen, T., Rautiainen, J., Vaattovaara, P., Ehn, M., Kulmala, M., Tomlinson, J. M., Collins, D. R., Cubison, M. J., Dunlea, E. J., Huffman, J. A., Onasch, T. B., Alfarra, M. R., Williams, P. I., Bower, K., Kondo, Y., Schneider, J., Drewnick, F., Borrmann, S., Weimer, S., Demerjian, K., Salcedo, D., Cottrell, L., Griffin, R., Takami, A., Miyoshi, T., Hatakeyama, S., Shimono, A., Sun, J. Y., Zhang, Y. M., Dzepina, K., Kimmel, J. R., Sueper, D., Jayne, J. T., Herndon, S. C., Trimborn, A. M., Williams, L. R., Wood, E. C., Middlebrook, A. M., Kolb, C. E., Baltensperger, U., and Worsnop, D. R.: Evolution of Organic Aerosols in the Atmosphere, Science, 326, 1525–1529,, 2009. a

Johansson, S., Höpfner, M., Kirner, O., Wohltmann, I., Bucci, S., Legras, B., Friedl-Vallon, F., Glatthor, N., Kretschmer, E., Ungermann, J., and Wetzel, G.: Pollution trace gas distributions and their transport in the Asian monsoon upper troposphere and lowermost stratosphere during the StratoClim campaign 2017, Atmos. Chem. Phys., 20, 14695–14715,, 2020. a, b, c, d

Jost, A., Szakáll, M., Diehl, K., Mitra, S. K., and Borrmann, S.: Chemistry of riming: the retention of organic and inorganic atmospheric trace constituents, Atmos. Chem. Phys., 17, 9717–9732,, 2017. a, b

Kane, D. B., Oktem, B., and Johnston, M. V.: Nanoparticle Detection by Aerosol Mass Spectrometry, Aerosol Sci. Tech., 34, 520–527,, 2001. a

Klimach, T.: Chemische Zusammensetzung der Aerosole: Design und Datenauswertung eines Einzelpartikel-Laserablationsmassenspektrometers, PhD thesis, Johannes-Gutenberg Universität Mainz,, 2012. a

Köllner, F., Schneider, J., Willis, M. D., Klimach, T., Helleis, F., Bozem, H., Kunkel, D., Hoor, P., Burkart, J., Leaitch, W. R., Aliabadi, A. A., Abbatt, J. P. D., Herber, A. B., and Borrmann, S.: Particulate trimethylamine in the summertime Canadian high Arctic lower troposphere, Atmos. Chem. Phys., 17, 13747–13766,, 2017. a

Köllner, F., Schneider, J., Willis, M. D., Schulz, H., Kunkel, D., Bozem, H., Hoor, P., Klimach, T., Helleis, F., Burkart, J., Leaitch, W. R., Aliabadi, A. A., Abbatt, J. P. D., Herber, A. B., and Borrmann, S.: Chemical composition and source attribution of sub-micrometre aerosol particles in the summertime Arctic lower troposphere, Atmos. Chem. Phys., 21, 6509–6539,, 2021. a

Lau, W. K. M., Yuan, C., and Li, Z.: Origin, Maintenance and Variability of the Asian Tropopause Aerosol Layer (ATAL): The Roles of Monsoon Dynamics, Sci. Rep.-UK, 8, 3960,, 2018. a, b, c

Lawrence, M. G. and Lelieveld, J.: Atmospheric pollutant outflow from southern Asia: a review, Atmos. Chem. Phys., 10, 11017–11096,, 2010. a, b, c

Lelieveld, J., Bourtsoukidis, E., Brühl, C., Fischer, H., Fuchs, H., Harder, H., Hofzumahaus, A., Holland, F., Marno, D., Neumaier, M., Pozzer, A., Schlager, H., Williams, J., Zahn, A., and Ziereis, H.: The South Asian monsoon – pollution pump and purifier, Science, 361, 270–273,, 2018. a, b, c, d

Liao, J., Froyd, K. D., Murphy, D. M., Keutsch, F. N., Yu, G., Wennberg, P. O., St. Clair, J. M., Crounse, J. D., Wisthaler, A., Mikoviny, T., Jimenez, J. L., Campuzano-Jost, P., Day, D. A., Hu, W., Ryerson, T. B., Pollack, I. B., Peischl, J., Anderson, B. E., Ziemba, L. D., Blake, D. R., Meinardi, S., and Diskin, G.: Airborne measurements of organosulfates over the continental U. S., J. Geophys. Res.-Atmos., 120, 2990–3005,, 2015. a, b, c, d, e

Liu, X., Penner, J. E., and Wang, M.: Influence of anthropogenic sulfate and black carbon on upper tropospheric clouds in the NCAR CAM3 model coupled to the IMPACT global aerosol model, J. Geophys. Res., 114, D03204,, 2009. a

Ma, J., Brühl, C., He, Q., Steil, B., Karydis, V. A., Klingmüller, K., Tost, H., Chen, B., Jin, Y., Liu, N., Xu, X., Yan, P., Zhou, X., Abdelrahman, K., Pozzer, A., and Lelieveld, J.: Modeling the aerosol chemical composition of the tropopause over the Tibetan Plateau during the Asian summer monsoon, Atmos. Chem. Phys., 19, 11587–11612,, 2019. a, b

Mahnke, C., Weigel, R., Cairo, F., Vernier, J.-P., Afchine, A., Krämer, M., Mitev, V., Matthey, R., Viciani, S., D'Amato, F., Ploeger, F., Deshler, T., and Borrmann, S.: The Asian tropopause aerosol layer within the 2017 monsoon anticyclone: microphysical properties derived from aircraft-borne in situ measurements, Atmos. Chem. Phys., 21, 15259–15282,, 2021. a, b, c, d, e, f, g, h

Metzger, S., Dentener, F., Krol, M., Jeuken, A., and Lelieveld, J.: Gas/aerosol partitioning 2. Global modeling results, J. Geophys. Res.-Atmos., 107, ACH 17-1–ACH 17-23,, 2002. a, b

Moffet, R. C. and Prather, K. A.: In-situ measurements of the mixing state and optical properties of soot with implications for radiative forcing estimates, P. Natl. Acad. Sci. USA, 106, 11872–11877,, 2009. a

Molleker, S., Helleis, F., Klimach, T., Appel, O., Clemen, H.-C., Dragoneas, A., Gurk, C., Hünig, A., Köllner, F., Rubach, F., Schulz, C., Schneider, J., and Borrmann, S.: Application of an O-ring pinch device as a constant-pressure inlet (CPI) for airborne sampling, Atmos. Meas. Tech., 13, 3651–3660,, 2020. a

Murphy, D. M.: The design of single particle laser mass spectrometers, Mass Spectrom. Rev., 26, 150–165,, 2007. a

Murphy, D. M., Froyd, K. D., Schwarz, J. P., and Wilson, J. C.: Observations of the chemical composition of stratospheric aerosol particles, Q. J. Roy. Meteor. Soc., 140, 1269–1278,, 2014. a

Neely III, R. R., Yu, P., Rosenlof, K. H., Toon, O. B., Daniel, J. S., Solomon, S., and Miller, H. L.: The contribution of anthropogenic SO2 emissions to the Asian tropopause aerosol layer, J. Geophys. Res.-Atmos., 119, 1571–1579,, 2014. a, b, c

Ng, N. L., Canagaratna, M. R., Zhang, Q., Jimenez, J. L., Tian, J., Ulbrich, I. M., Kroll, J. H., Docherty, K. S., Chhabra, P. S., Bahreini, R., Murphy, S. M., Seinfeld, J. H., Hildebrandt, L., Donahue, N. M., DeCarlo, P. F., Lanz, V. A., Prévôt, A. S. H., Dinar, E., Rudich, Y., and Worsnop, D. R.: Organic aerosol components observed in Northern Hemispheric datasets from Aerosol Mass Spectrometry, Atmos. Chem. Phys., 10, 4625–4641,, 2010. a, b, c

Ng, N. L., Canagaratna, M. R., Jimenez, J. L., Chhabra, P. S., Seinfeld, J. H., and Worsnop, D. R.: Changes in organic aerosol composition with aging inferred from aerosol mass spectra, Atmos. Chem. Phys., 11, 6465–6474,, 2011. a, b

Nützel, M., Dameris, M., and Garny, H.: Movement, drivers and bimodality of the South Asian High, Atmos. Chem. Phys., 16, 14755–14774,, 2016. a

Pan, L. L., Honomichl, S. B., Kinnison, D. E., Abalos, M., Randel, W. J., Bergman, J. W., and Bian, J.: Transport of chemical tracers from the boundary layer to stratosphere associated with the dynamics of the Asian summer monsoon, J. Geophys. Res.-Atmos., 121, 14159–14174,, 2016. a, b, c, d

Park, M., Randel, W. J., Emmons, L. K., and Livesey, N. J.: Transport pathways of carbon monoxide in the Asian summer monsoon diagnosed from Model of Ozone and Related Tracers (MOZART), J. Geophys. Res.-Atmos., 114, D08303,, 2009. a

Peck, J., Gonzalez, L. A., Williams, L. R., Xu, W., Croteau, P. L., Timko, M. T., Jayne, J. T., Worsnop, D. R., Miake-Lye, R. C., and Smith, K. A.: Development of an aerosol mass spectrometer lens system for PM2.5, Aerosol Sci. Tech., 50, 781–789,, 2016. a

Ploeger, F., Gottschling, C., Griessbach, S., Grooß, J.-U., Guenther, G., Konopka, P., Müller, R., Riese, M., Stroh, F., Tao, M., Ungermann, J., Vogel, B., and von Hobe, M.: A potential vorticity-based determination of the transport barrier in the Asian summer monsoon anticyclone, Atmos. Chem. Phys., 15, 13145–13159,, 2015. a

Ploeger, F., Konopka, P., Walker, K., and Riese, M.: Quantifying pollution transport from the Asian monsoon anticyclone into the lower stratosphere, Atmos. Chem. Phys., 17, 7055–7066,, 2017. a, b, c, d

Popovic, J. M. and Plumb, R. A.: Eddy Shedding from the Upper-Tropospheric Asian Monsoon Anticyclone, J. Atmos. Sci., 58, 93–104,<0093:ESFTUT>2.0.CO;2, 2001. a

Pratt, K. A., Murphy, S. M., Subramanian, R., DeMott, P. J., Kok, G. L., Campos, T., Rogers, D. C., Prenni, A. J., Heymsfield, A. J., Seinfeld, J. H., and Prather, K. A.: Flight-based chemical characterization of biomass burning aerosols within two prescribed burn smoke plumes, Atmos. Chem. Phys., 11, 12549–12565,, 2011. a

Randel, W. and Jensen, E.: Physical processes in the tropical tropopause layer and their roles in a changing climate, Nat. Geosci., 6, 169–176,, 2013. a

Randel, W. J. and Park, M.: Deep convective influence on the Asian summer monsoon anticyclone and associated tracer variability observed with Atmospheric Infrared Sounder (AIRS), J. Geophys. Res.-Atmos., 111, D12314,, 2006. a

Randel, W. J., Park, M., Emmons, L., Kinnison, D., Bernath, P., Walker, K. A., Boone, C., and Pumphrey, H.: Asian Monsoon Transport of Pollution to the Stratosphere, Science, 328, 611–613,, 2010. a

Reitz, P.: Chemical composition measurements of cloud condensation nuclei and ice nuclei by aerosol mass spectrometry, PhD thesis, Johannes Gutenberg-Universität Mainz,, 2011. a

Ridley, D. A., Solomon, S., Barnes, J. E., Burlakov, V. D., Deshler, T., Dolgii, S. I., Herber, A. B., Nagai, T., Neely III, R. R., Nevzorov, A. V., Ritter, C., Sakai, T., Santer, B. D., Sato, M., Schmidt, A., Uchino, O., and Vernier, J. P.: Total volcanic stratospheric aerosol optical depths and implications for global climate change, Geophys. Res. Lett., 41, 7763–7769,, 2014. a

Roth, A., Schneider, J., Klimach, T., Mertes, S., van Pinxteren, D., Herrmann, H., and Borrmann, S.: Aerosol properties, source identification, and cloud processing in orographic clouds measured by single particle mass spectrometry on a central European mountain site during HCCT-2010, Atmos. Chem. Phys., 16, 505–524,, 2016. a

Savitzky, A. and Golay, M. J. E.: Smoothing and Differentiation of Data by Simplified Least Squares Procedures, Anal. Chem., 36, 1627–1639,, 1964. a

Schill, G. P., Froyd, K. D., Bian, H., Kupc, A., Williamson, C., Brock, C. A., Ray, E., Hornbrook, R. S., Hills, A. J., Apel, E. C., Chin, M., Colarco, P. R., and Murphy, D. M.: Widespread biomass burning smoke throughout the remote troposphere, Nat. Geosci., 13, 422–427,, 2020. a

Schindelka, J., Iinuma, Y., Hoffmann, D., and Herrmann, H.: Sulfate radical-initiated formation of isoprene-derived organosulfates in atmospheric aerosols, Faraday Discuss., 165, 237–259,, 2013. a

Schmidt, S., Schneider, J., Klimach, T., Mertes, S., Schenk, L. P., Kupiszewski, P., Curtius, J., and Borrmann, S.: Online single particle analysis of ice particle residuals from mountain-top mixed-phase clouds using laboratory derived particle type assignment, Atmos. Chem. Phys., 17, 575–594,, 2017. a

Schneider, J., Weigel, R., Klimach, T., Dragoneas, A., Appel, O., Hünig, A., Molleker, S., Köllner, F., Clemen, H.-C., Eppers, O., Hoppe, P., Hoor, P., Mahnke, C., Krämer, M., Rolf, C., Grooß, J.-U., Zahn, A., Obersteiner, F., Ravegnani, F., Ulanovsky, A., Schlager, H., Scheibe, M., Diskin, G. S., DiGangi, J. P., Nowak, J. B., Zöger, M., and Borrmann, S.: Aircraft-based observation of meteoric material in lower-stratospheric aerosol particles between 15 and 68 N, Atmos. Chem. Phys., 21, 989–1013,, 2021. a, b, c, d, e

Schulz, C., Schneider, J., Amorim Holanda, B., Appel, O., Costa, A., de Sá, S. S., Dreiling, V., Fütterer, D., Jurkat-Witschas, T., Klimach, T., Knote, C., Krämer, M., Martin, S. T., Mertes, S., Pöhlker, M. L., Sauer, D., Voigt, C., Walser, A., Weinzierl, B., Ziereis, H., Zöger, M., Andreae, M. O., Artaxo, P., Machado, L. A. T., Pöschl, U., Wendisch, M., and Borrmann, S.: Aircraft-based observations of isoprene-epoxydiol-derived secondary organic aerosol (IEPOX-SOA) in the tropical upper troposphere over the Amazon region, Atmos. Chem. Phys., 18, 14979–15001,, 2018. a

Silva, P. J. and Prather, K. A.: Interpretation of Mass Spectra from Organic Compounds in Aerosol Time-of-Flight Mass Spectrometry, Anal. Chem., 72, 3553–3562,, 2000. a

Silva, P. J., Liu, D.-Y., Noble, C. A., and Prather, K. A.: Size and Chemical Characterization of Individual Particles Resulting from Biomass Burning of Local Southern California Species, Environ. Sci. Technol., 33, 3068–3076,, 1999. a

Sokolov, L. and Lepuchov, B.: Protocol of interaction between Unit for Connection with Scientific Equipment (UCSE) and on-board scientific equipment of Geophysica aircraft, Tech. rep., Myasishchev Design Bureau (MDB), 1998. a

Stratmann, G., Ziereis, H., Stock, P., Brenninkmeijer, C., Zahn, A., Rauthe-Schöch, A., Velthoven, P., Schlager, H., and Volz-Thomas, A.: NO and NOy in the upper troposphere: Nine years of CARIBIC measurements onboard a passenger aircraft, Atmos. Environ., 133, 93–111,, 2016. a

Suess, D. T. and Prather, K. A.: Mass Spectrometry of Aerosols, Chem. Rev., 99, 3007–3036,, 1999. a

Surratt, J. D., Gómez-González, Y., Chan, A. W. H., Vermeylen, R., Shahgholi, M., Kleindienst, T. E., Edney, E. O., Offenberg, J. H., Lewandowski, M., Jaoui, M., Maenhaut, W., Claeys, M., Flagan, R. C., and Seinfeld, J. H.: Organosulfate Formation in Biogenic Secondary Organic Aerosol, J. Phys. Chem. A, 112, 8345–8378,, 2008. a, b, c

Talukdar, R. K., Burkholder, J. B., Roberts, J. M., Portmann, R. W., and Ravishankara, A. R.: Heterogeneous Interaction of N2O5 with HCl Doped H2SO4 under Stratospheric Conditions: ClNO2 and Cl2 Yields, J. Phys. Chem. A, 116, 6003–6014,, 2012. a

Thomason, L. W. and Vernier, J.-P.: Improved SAGE II cloud/aerosol categorization and observations of the Asian tropopause aerosol layer: 1989–2005, Atmos. Chem. Phys., 13, 4605–4616,, 2013. a

Thomson, D. S., Middlebrook, A. M., and Murphy, D. M.: Thresholds for Laser-Induced Ion Formation from Aerosols in a Vacuum Using Ultraviolet and Vacuum-Ultraviolet Laser Wavelengths, Aerosol Sci. Tech., 26, 544–559,, 1997. a

Tost, H.: Chemistry–climate interactions of aerosol nitrate from lightning, Atmos. Chem. Phys., 17, 1125–1142,, 2017. a

Tost, H., Lawrence, M. G., Brühl, C., Jöckel, P., The GABRIEL Team, and The SCOUT-O3-DARWIN/ACTIVE Team: Uncertainties in atmospheric chemistry modelling due to convection parameterisations and subsequent scavenging, Atmos. Chem. Phys., 10, 1931–1951,, 2010. a

Ueyama, R., Jensen, E. J., and Pfister, L.: Convective Influence on the Humidity and Clouds in the Tropical Tropopause Layer During Boreal Summer, J. Geophys. Res.-Atmos., 123, 7576–7593,, 2018. a

Vernier, J. P., Pommereau, J. P., Garnier, A., Pelon, J., Larsen, N., Nielsen, J., Christensen, T., Cairo, F., Thomason, L. W., Leblanc, T., and McDermid, I. S.: Tropical stratospheric aerosol layer from CALIPSO lidar observations, J. Geophys. Res.-Atmos., 114, D00H10,, 2009. a

Vernier, J.-P., Thomason, L. W., and Kar, J.: CALIPSO detection of an Asian tropopause aerosol layer, Geophys. Res. Lett., 38, L07804,, 2011. a, b, c

Vernier, J.-P., Fairlie, T. D., Natarajan, M., Wienhold, F. G., Bian, J., Martinsson, B. G., Crumeyrolle, S., Thomason, L. W., and Bedka, K. M.: Increase in upper tropospheric and lower stratospheric aerosol levels and its potential connection with Asian pollution, J. Geophys. Res.-Atmos., 120, 1608–1619,, 2015. a, b, c

Vernier, J.-P., Fairlie, T. D., Deshler, T., Ratnam, M. V., Gadhavi, H., Kumar, B. S., Natarajan, M., Pandit, A. K., Raj, S. T. A., Kumar, A. H., Jayaraman, A., Singh, A. K., Rastogi, N., Sinha, P. R., Kumar, S., Tiwari, S., Wegner, T., Baker, N., Vignelles, D., Stenchikov, G., Shevchenko, I., Smith, J., Bedka, K., Kesarkar, A., Singh, V., Bhate, J., Ravikiran, V., Rao, M. D., Ravindrababu, S., Patel, A., Vernier, H., Wienhold, F. G., Liu, H., Knepp, T. N., Thomason, L., Crawford, J., Ziemba, L., Moore, J., Crumeyrolle, S., Williamson, M., Berthet, G., Jégou, F., and Renard, J.-B.: BATAL: The Balloon Measurement Campaigns of the Asian Tropopause Aerosol Layer, B. Am. Meteorol. Soc., 99, 955–973,, 2018. a, b, c

Vogel, B., Günther, G., Müller, R., Grooß, J.-U., Hoor, P., Krämer, M., Müller, S., Zahn, A., and Riese, M.: Fast transport from Southeast Asia boundary layer sources to northern Europe: rapid uplift in typhoons and eastward eddy shedding of the Asian monsoon anticyclone, Atmos. Chem. Phys., 14, 12745–12762,, 2014. a

Vogel, B., Günther, G., Müller, R., Grooß, J.-U., and Riese, M.: Impact of different Asian source regions on the composition of the Asian monsoon anticyclone and of the extratropical lowermost stratosphere, Atmos. Chem. Phys., 15, 13699–13716,, 2015. a, b

Vogel, B., Günther, G., Müller, R., Grooß, J.-U., Afchine, A., Bozem, H., Hoor, P., Krämer, M., Müller, S., Riese, M., Rolf, C., Spelten, N., Stiller, G. P., Ungermann, J., and Zahn, A.: Long-range transport pathways of tropospheric source gases originating in Asia into the northern lower stratosphere during the Asian monsoon season 2012, Atmos. Chem. Phys., 16, 15301–15325,, 2016. a

Vogel, B., Müller, R., Günther, G., Spang, R., Hanumanthu, S., Li, D., Riese, M., and Stiller, G. P.: Lagrangian simulations of the transport of young air masses to the top of the Asian monsoon anticyclone and into the tropical pipe, Atmos. Chem. Phys., 19, 6007–6034,, 2019. a, b, c, d, e, f, g, h, i

von Blohn, N., Diehl, K., Mitra, S. K., and Borrmann, S.: Wind tunnel experiments on the retention of trace gases during riming: nitric acid, hydrochloric acid, and hydrogen peroxide, Atmos. Chem. Phys., 11, 11569–11579,, 2011. a

von Blohn, N., Diehl, K., Nölscher, A., Jost, A., Mitra, S. K., and Borrmann, S.: The retention of ammonia and sulfur dioxide during riming of ice particles and dendritic snow flakes: laboratory experiments in the Mainz vertical wind tunnel, J. Atmos. Chem., 70, 131–150,, 2013. a

von Hobe, M., Grooß, J.-U., Günther, G., Konopka, P., Gensch, I., Krämer, M., Spelten, N., Afchine, A., Schiller, C., Ulanovsky, A., Sitnikov, N., Shur, G., Yushkov, V., Ravegnani, F., Cairo, F., Roiger, A., Voigt, C., Schlager, H., Weigel, R., Frey, W., Borrmann, S., Müller, R., and Stroh, F.: Evidence for heterogeneous chlorine activation in the tropical UTLS, Atmos. Chem. Phys., 11, 241–256,, 2011. a

von Hobe, M., Ploeger, F., Konopka, P., Kloss, C., Ulanowski, A., Yushkov, V., Ravegnani, F., Volk, C. M., Pan, L. L., Honomichl, S. B., Tilmes, S., Kinnison, D. E., Garcia, R. R., and Wright, J. S.: Upward transport into and within the Asian monsoon anticyclone as inferred from StratoClim trace gas observations, Atmos. Chem. Phys., 21, 1267–1285,, 2021. a

Wagner, R., Bertozzi, B., Höpfner, M., Höhler, K., Möhler, O., Saathoff, H., and Leisner, T.: Solid Ammonium Nitrate Aerosols as Efficient Ice Nucleating Particles at Cirrus Temperatures, J. Geophys. Res.-Atmos., 125, e2019JD032248,, 2020. a

Wang, M., Kong, W., Marten, R., He, X.-C., Chen, D., Pfeifer, J., Heitto, A., Kontkanen, J., Dada, L., Kürten, A., Yli-Juuti, T., Manninen, H. E., Amanatidis, S., Amorim, A., Baalbaki, R., Baccarini, A., Bell, D. M., Bertozzi, B., Bräkling, S., Brilke, S., Murillo, L. C., Chiu, R., Chu, B., Menezes, L.-P. D., Duplissy, J., Finkenzeller, H., Carracedo, L. G., Granzin, M., Guida, R., Hansel, A., Hofbauer, V., Krechmer, J., Lehtipalo, K., Lamkaddam, H., Lampimäki, M., Lee, C. P., Makhmutov, V., Marie, G., Mathot, S., Mauldin, R. L., Mentler, B., Müller, T., Onnela, A., Partoll, E., Petäjä, T., Philippov, M., Pospisilova, V., Ranjithkumar, A., Rissanen, M., Rörup, B., Scholz, W., Shen, J., Simon, M., Sipilä, M., Steiner, G., Stolzenburg, D., Tham, Y. J., Tomé, A., Wagner, A. C., Wang, D. S., Wang, Y., Weber, S. K., Winkler, P. M., Wlasits, P. J., Wu, Y., Xiao, M., Ye, Q., Zauner-Wieczorek, M., Zhou, X., Volkamer, R., Riipinen, I., Dommen, J., Curtius, J., Baltensperger, U., Kulmala, M., Worsnop, D. R., Kirkby, J., Seinfeld, J. H., El-Haddad, I., Flagan, R. C., and Donahue, N. M.: Rapid growth of new atmospheric particles by nitric acid and ammonia condensation, Nature, 581, 184–189,, 2020. a, b

Wang, M., Xiao, M., Bertozzi, B., Marie, G., Rörup, B., Schulze, B., Bardakov, R., He, X.-C., Shen, J., Scholz, W., Marten, R., Dada, L., Baalbaki, R., Lopez, B., Lamkaddam, H., Manninen, H. E., Amorim, A., Ataei, F., Bogert, P., Brasseur, Z., Caudillo, L., Menezes, L.-P. D., Duplissy, J., Ekman, A. M. L., Finkenzeller, H., Carracedo, L. G., Granzin, M., Guida, R., Heinritzi, M., Hofbauer, V., Höhler, K., Korhonen, K., Krechmer, J. E., Kürten, A., Lehtipalo, K., Mahfouz, N. G. A., Makhmutov, V., Massabò, D., Mathot, S., Mauldin, R. L., Mentler, B., Müller, T., Onnela, A., Petäjä, T., Philippov, M., Piedehierro, A. A., Pozzer, A., Ranjithkumar, A., Schervish, M., Schobesberger, S., Simon, M., Stozhkov, Y., Tomé, A., Umo, N. S., Vogel, F., Wagner, R., Wang, D. S., Weber, S. K., Welti, A., Wu, Y., Zauner-Wieczorek, M., Sipilä, M., Winkler, P. M., Hansel, A., Baltensperger, U., Kulmala, M., Flagan, R. C., Curtius, J., Riipinen, I., Gordon, H., Lelieveld, J., El-Haddad, I., Volkamer, R., Worsnop, D. R., Christoudias, T., Kirkby, J., Möhler, O., and Donahue, N. M.: Synergistic HNO3H2SO4NH3 upper tropospheric particle formation, Nature, 605, 483–489,, 2022. a

Weigel, R., Hermann, M., Curtius, J., Voigt, C., Walter, S., Böttger, T., Lepukhov, B., Belyaev, G., and Borrmann, S.: Experimental characterization of the COndensation PArticle counting System for high altitude aircraft-borne application, Atmos. Meas. Tech., 2, 243–258,, 2009. a, b

Weigel, R., Borrmann, S., Kazil, J., Minikin, A., Stohl, A., Wilson, J. C., Reeves, J. M., Kunkel, D., de Reus, M., Frey, W., Lovejoy, E. R., Volk, C. M., Viciani, S., D'Amato, F., Schiller, C., Peter, T., Schlager, H., Cairo, F., Law, K. S., Shur, G. N., Belyaev, G. V., and Curtius, J.: In situ observations of new particle formation in the tropical upper troposphere: the role of clouds and the nucleation mechanism, Atmos. Chem. Phys., 11, 9983–10010,, 2011. a, b

Weigel, R., Mahnke, C., Baumgartner, M., Dragoneas, A., Vogel, B., Ploeger, F., Viciani, S., D'Amato, F., Bucci, S., Legras, B., Luo, B., and Borrmann, S.: In situ observation of new particle formation (NPF) in the tropical tropopause layer of the 2017 Asian monsoon anticyclone – Part 1: Summary of StratoClim results, Atmos. Chem. Phys., 21, 11689–11722,, 2021a. a, b, c, d, e, f

Weigel, R., Mahnke, C., Baumgartner, M., Krämer, M., Spichtinger, P., Spelten, N., Afchine, A., Rolf, C., Viciani, S., D'Amato, F., Tost, H., and Borrmann, S.: In situ observation of new particle formation (NPF) in the tropical tropopause layer of the 2017 Asian monsoon anticyclone – Part 2: NPF inside ice clouds, Atmos. Chem. Phys., 21, 13455–13481,, 2021b. a, b, c, d

Wennberg, P. O.: Let's abandon the “high NOx” and “low NOx” terminology, IGAC News, 50, 3–4, 2013. a

Williamson, C. J., Kupc, A., Axisa, D., Bilsback, K. R., Bui, T., Campuzano-Jost, P., Dollner, M., Froyd, K. D., Hodshire, A. L., Jimenez, J. L., Kodros, J. K., Luo, G., Murphy, D. M., Nault, B. A., Ray, E. A., Weinzierl, B., Wilson, J. C., Yu, F., Yu, P., Pierce, J. R., and Brock, C. A.: A large source of cloud condensation nuclei from new particle formation in the tropics, Nature, 574, 399–403,, 2019. a

Xu, W., Croteau, P., Williams, L., Canagaratna, M., Onasch, T., Cross, E., Zhang, X., Robinson, W., Worsnop, D., and Jayne, J.: Laboratory characterization of an aerosol chemical speciation monitor with PM2.5 measurement capability, Aerosol Sci. Tech., 51, 69–83,, 2017. a

Yao, X., Rehbein, P. J., Lee, C. J., Evans, G. J., Corbin, J., and Jeong, C.-H.: A study on the extent of neutralization of sulphate aerosol through laboratory and field experiments using an ATOFMS and a GPIC, Atmos. Environ., 45, 6251–6256, 2011. a

Yu, P., Toon, O. B., Neely, R. R., Martinsson, B. G., and Brenninkmeijer, C. A. M.: Composition and physical properties of the Asian Tropopause Aerosol Layer and the North American Tropospheric Aerosol Layer, Geophys. Res. Lett., 42, 2540–2546,, 2015.  a, b

Yu, P., Rosenlof, K. H., Liu, S., Telg, H., Thornberry, T. D., Rollins, A. W., Portmann, R. W., Bai, Z., Ray, E. A., Duan, Y., Pan, L. L., Toon, O. B., Bian, J., and Gao, R.-S.: Efficient transport of tropospheric aerosol into the stratosphere via the Asian summer monsoon anticyclone, P. Natl. Acad. Sci. USA, 114, 6972–6977,, 2017. a, b, c, d, e, f

Yuan, C., Lau, W. K. M., Li, Z., and Cribb, M.: Relationship between Asian monsoon strength and transport of surface aerosols to the Asian Tropopause Aerosol Layer (ATAL): interannual variability and decadal changes, Atmos. Chem. Phys., 19, 1901–1913,, 2019. a, b, c, d

Zhang, J., Wu, X., Liu, S., Bai, Z., Xia, X., Chen, B., Zong, X., and Bian, J.: In situ measurements and backward-trajectory analysis of high-concentration, fine-mode aerosols in the UTLS over the Tibetan Plateau, Environ. Res. Lett., 14, 124068,, 2019. a

Zhang, Q., Wu, G., and Qian, Y.: The Bimodality of the 100 hPa South Asia High and its Relationship to the Climate Anomaly over East Asia in Summer, J. Meteorol. Soc. Jpn. Ser. II, 80, 733–744,, 2002. a

Zhang, Q., Jimenez, J. L., Worsnop, D. R., and Canagaratna, M.: A Case Study of Urban Particle Acidity and Its Influence on Secondary Organic Aerosol, Environ. Sci. Technol., 41, 3213–3219,, 2007. a

Zhou, W., Xu, W., Kim, H., Zhang, Q., Fu, P., Worsnop, D. R., and Sun, Y.: A review of aerosol chemistry in Asia: insights from aerosol mass spectrometer measurements, Environ. Sci.-Proc. Imp., 22, 1616–1653,, 2020. a

Short summary
This paper clarifies the chemical composition of the Asian tropopause aerosol layer (ATAL) by means of airborne in situ aerosol mass spectrometry (AMS). Ammonium nitrate and organics are found to significantly contribute to the particle layer, while sulfate does not show a layered structure. An analysis of the single-particle mass spectra suggests that secondary particle formation and subsequent growth dominate the particle composition, rather than condensation on pre-existing primary particles.
Final-revised paper