Mass spectrometric measurements of ambient ions and estimation of gaseous sulfuric acid in the free troposphere and lowermost stratosphere during the CAFE-EU/BLUESKY campaign
- 1Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt am Main, 60629 Frankfurt am Main, Germany
- 2Particle Chemistry Department, Max Planck Institute for Chemistry, 55128 Mainz, Germany
Correspondence: Marcel Zauner-Wieczorek (firstname.lastname@example.org)
Ambient ions play an important role in atmospheric processes such as ion-induced new particle formation. While there are several studies of ambient ions for different layers of the atmosphere, data coverage for the free troposphere and especially the upper troposphere and lower stratosphere (UTLS) region is scarce. Here, we present the first airborne measurements of ambient ions using a high-resolution atmospheric pressure interface time-of-flight mass spectrometer (HR-APi-TOF-MS) in the free troposphere and lower stratosphere above Europe on board the HALO aircraft during the CAFE-EU/BLUESKY campaign in May and June 2020. In negative measurement mode, we observed nitrate and hydrogen sulfate and their related ion clusters in an altitude range of 4.7 to 13.4 km. The horizontal profiles for those ions reveal an increasing count rate for NO and (HNO3)NO towards higher altitudes but no significant trend for HSO4−. From the count rates of the nitrate (NO) and hydrogen sulfate (HSO) core ions, we inferred the number concentration of gaseous sulfuric acid. The lowest average value was found to be 1.9×105 cm−3 at the maximum altitude bin, i.e. 13.4 km. The highest average value of 7.8×105 cm−3 was observed in the 8.7–9.2 km altitude bin. During the transit through a mixed-phase cloud, we observed an event of enhanced ion count rates and aerosol particle concentrations that can largely be assigned to nitrate ions and particles, respectively; this may have been caused by the shattering of liquid cloud droplets on the surface of the aircraft or the inlet. Furthermore, we report the proof of principle for the measurement of ambient cations and the identification of protonated pyridine.
Earth's atmosphere contains not only neutral gases, but also ions in the gas phase that play a crucial role in several atmospheric processes such as ion-induced nucleation of aerosol particles (Hirsikko et al., 2011). For a long time, the measurement of atmospheric ions has been the only means to infer qualitative and quantitative information on the composition of certain neutral compounds of the atmosphere; as an example, the atmospheric concentration of sulfuric acid, one of the most important substances involved in new particle formation (Seinfeld and Pandis, 2006), has historically been determined using ambient ion data.
The most important sources of ionisation from the ground level up to about 50 km altitude are galactic cosmic rays (GCRs) and, close to the Earth's surface, the radioactive decay of radon (Viggiano and Arnold, 1995; Bazilevskaya et al., 2008). GCRs consist mostly of protons and α particles, and these are able to penetrate the Earth's atmosphere. When their energy is high enough, secondary pions and muons are formed in nuclear–electromagnetic cascades. These secondary pions and muons interact with atmospheric compounds and cause their ionisation (Bazilevskaya et al., 2008). Predominantly, N, O, N+, and O+ cations are formed along with electrons. The electrons interact rapidly with oxygen, forming O and O− (Arijs, 1992; Arnold and Knop, 1987; Shuman et al., 2015; Viggiano and Arnold, 1995). The cations quickly react to NO+ and subsequently to proton hydrates, i.e. H+(H2O)n. The anions react to (H2O)nCO and subsequently to (H2O)nNO (Arijs, 1992; Shuman et al., 2015). As the aforementioned reactions occur so rapidly and the lifetimes of the resulting ion clusters, i.e. H+(H2O)n and (H2O)nNO, are relatively long, they can be considered the starting points for the ion chemistry of the stratosphere and troposphere (Shuman et al., 2015; Viggiano and Arnold, 1995). For further details of the ionisation in the atmosphere, the article by Bazilevskaya et al. (2008) provides an overview, whilst, for the ion chemistry of the upper troposphere, Shuman et al. (2015) offer a comprehensive review.
The subsequent negative ion chemistry in the troposphere and stratosphere is comparatively simple. The water–nitrate clusters, (H2O)nNO, are able to take up nitric acid or exchange water molecules with nitric acid, yielding clusters of the type (HNO3)m(H2O)nNO (Shuman et al., 2015; Viggiano and Arnold, 1995). Acids, HX, with a larger gas-phase acidity than HNO3 can participate in a charge transfer reaction with NO and ligand exchange reactions with HNO3, leading to clusters of the type (HX)k(HNO3)m(H2O)nX−. For most of the troposphere and stratosphere, only sulfuric acid (H2SO4) fulfils this requirement while being sufficiently abundant (Viggiano and Arnold, 1995). It is only closer to the ground that strong and abundant acids such as malonic acid (CH2(COOH)2), methanesulfonic acid (CH3SO3H), or iodic acid (HIO3) can also be observed as part of the ion clusters (Ehn et al., 2010; Eisele, 1989a; Frege et al., 2017; Viggiano and Arnold, 1995; He et al., 2021; Beck et al., 2022a). It should be noted that, practically, the only source for HSO ions and their ion clusters is the reaction of gaseous sulfuric acid with nitrate (clusters) (Viggiano and Arnold, 1995). The direct ionisation of sulfuric acid is negligible. Throughout the troposphere and stratosphere, ion clusters with an NO core ion are predominant, except for the altitude range of around 35 to 40 km; here, the HSO core ion family is predominant. However, it is also abundant throughout the whole troposphere and stratosphere, but to a lesser extent than the NO core ion family (Viggiano and Arnold, 1995).
Knowledge of the abundance of the neutral species HNO3 and H2SO4 in the upper parts of the atmosphere is mainly derived from calculations based on the measurements of the aforementioned ambient ions (Arnold and Fabian, 1980; Heitmann and Arnold, 1983; Arnold and Qiu, 1984). This calculation will be discussed in detail later. Direct measurements of the neutral trace compounds have been few, and their results are only available for a limited part of the atmosphere. Measurements of neutral gaseous sulfuric acid above the boundary layer have been performed at various altitude ranges: 3 to 11 km above the Arctic (Möhler and Arnold, 1992), 0 to 7.5 km in mid-latitudes and polar latitudes (Mauldin et al., 2003), 0 to 6 km above the southern Pacific Ocean (Weber et al., 1999, 2001), 0 to 7 km above the western Pacific Ocean (Weber et al., 2003), and on two mountain research sites in the Alps (Zugspitze, Germany, 2650 m a.s.l., Aufmhoff et al., 2011; Jungfraujoch, Switzerland, 3580 m a.s.l., Bianchi et al., 2016). The reported concentrations of sulfuric acid are high in the boundary layer (>107 cm−3 possible), low in the free troposphere (4×105 to 4×106 cm−3), and slightly enhanced in the tropopause; however, in the lower stratosphere, the concentrations are lower again (105 to 106 cm−3) according to Möhler and Arnold (1992). The most recent airborne measurements of neutral compounds using a chemical ionisation source in the negative ion mode were performed by our group during the CAFE-EU/BLUESKY campaign in 2020; the results will be presented in detail elsewhere. Early airborne measurements of nitric acid were performed from the 1990s (Hoell et al., 1997, 1999). Iodide-adduct chemical ionisation mass spectrometry (CIMS) is one of the most sensitive methods used nowadays for airborne HNO3 detection (Lee et al., 2018; Dörich et al., 2021). Measurements in the upper troposphere and lower stratosphere (UTLS) showed that HNO3 concentrations are low in the free troposphere and enhanced in the stratosphere (Schneider et al., 1998; Schumann et al., 2000; Jurkat et al., 2016).
Positive ion chemistry in the troposphere and stratosphere, on the other hand, involves acetonitrile, pyridine, ammonia, and amines (Viggiano and Arnold, 1995). Bases, B, with higher proton affinities than water, if sufficiently abundant, can react with the proton hydrates via ligand exchange to form clusters of the type H+(H2O)n(B)m. One prominent B compound found throughout the troposphere and stratosphere is acetonitrile (CH3CN), while around the tropopause, methanol (CH3OH) and acetone ((CH3)2CO) also become important, and, in the lower troposphere, ammonia (NH3), pyridine (C5H5N) and several amines are molecules which are found to form clusters of the aforementioned type (Viggiano and Arnold, 1995). Ascending from the ground level towards higher altitudes, the predominant positive core ions are ammonium, protonated pyridine and protonated amines (0–5 km), protonated acetone (5–12 km), protonated acetonitrile (12–30 km), and proton hydrates (>30 km) (Viggiano and Arnold, 1995).
The first rocket-borne mass spectrometric measurements of atmospheric ions were conducted in the mesosphere and ionosphere (above 64 km) (Johnson et al., 1958; Narcisi and Bailey, 1965; Narcisi et al., 1971; Arnold et al., 1971), leading to the identification of key species such as O+, O, H3O+, O, CO, and NO, amongst others. In subsequent years, the investigations were extended to lower parts of the atmosphere and included an ever-growing number of identified ions. Arnold et al. (1977) reported the first rocket-borne measurements in the stratosphere, which were then followed by balloon-borne investigations (Arijs et al., 1978; Arnold et al., 1978; Arnold and Henschen, 1978). By employing mass spectrometers on aircraft, the lower stratosphere and upper troposphere could also be sampled (Heitmann and Arnold, 1983; Arnold et al., 1984). In addition, in the 1980s, Fred Eisele's group performed ground-based experiments in the boundary layer and in the lower free troposphere on mountain research stations (Perkins and Eisele, 1984; Eisele, 1986, 1988, 1989a, b). With all of these studies, measurements of the negative, as well as the positive, ions in the atmospheric range of 0 to more than 100 km altitude have been covered, unravelling a multitude of atmospheric compounds. Nevertheless, these measurements have been few, and questions of the reproducibility and variability of the results cannot be fully resolved. At the beginning of the 1990s, the development of chemical ionisation sources allowed for the direct measurement of neutral trace gases of interest. Indirect measurements utilising the detection of atmospheric ions became scarcer. Since then, to our knowledge, only Möhler et al. (1993) have presented measurements of ambient ions in the UTLS (although these were combined with chemical ionisation measurements), while Eichkorn et al. (2002) observed the existence of large positive ion clusters with masses of up to 2500 Da in the upper troposphere, providing evidence for the ion-induced nucleation of aerosol particles. In addition, Arnold et al. (1998) measured the gaseous ion composition in the exhaust plume of a jet aircraft in flight and derived the number concentration of gaseous sulfuric acid.
The introduction of high-resolution time-of-flight mass spectrometers (HR-TOF-MSs) allowed for a better signal identification of mass spectra, which was also applied to the field of ambient ion measurements. Junninen et al. (2010) presented the first HR-TOF-MS to measure the composition of atmospheric ions. Consequently, this group was also able to identify an enormous number of ambient ions via ground-based measurements in a boreal forest in Hyytiälä, Finland, including organic ion clusters (Ehn et al., 2010). Frege et al. (2017) characterised ambient ions in the lower part of the free troposphere with measurements at the Jungfraujoch research station in Switzerland at 3454 m a.s.l. The dominant negative ions identified were assigned to sulfuric, nitric, malonic, and methanesulfonic acid. Positive ions were assigned to amines, ammonia, and organic clusters. More recently, Beck et al. (2022a) conducted airborne measurements of ambient ions above the boreal forest at an altitude range of 0 to 3200 m around the Station for Measuring Ecosystem Atmospheric Relations (SMEAR) II in Hyytiälä. They identified ions belonging to nitric, iodic, methanesulfonic, sulfuric, and carboxylic acid, as well as highly oxygenated organic molecules (HOMs). Furthermore, they reported diurnal variations of the ions depending on the changing atmospheric layers at different periods of the day. Beck et al. (2022b) also derived concentrations of gaseous sulfuric acid from the measurements of ambient ions. They were able to validate their calculations with chemical ionisation mass spectrometric measurements for daytime in the boreal forest.
In this work, we present the first aircraft-borne measurements of ambient ions with an HR-TOF-MS in the UTLS during the CAFE-EU/BLUESKY campaign in May and June 2020, allowing for an unambiguous identification of the observed ions. We present the observed mass spectrum of negative ambient ions and show the altitude dependence of the most important ions. From the ion signals of nitrate and hydrogen sulfate core ions, we derive an estimate for the gaseous sulfuric acid concentration. For the measurement of positive ambient ions, we provide a proof of principle and a first identification of observed signals.
We used an HR-TOF-MS (Tofwerk AG, Thun, Switzerland) in combination with a new in-house developed and manufactured chemical ionisation (CI) source, named the Switchable CORona Powered ION source (SCORPION); this will be described in more detail in an upcoming publication. The main purpose of this setup was to enable nitrate reagent ion-based CI-TOF-MS measurements on board the High Altitude and LOng range research aircraft (HALO). However, by setting all voltages (including the corona voltage) in the SCORPION source to zero, i.e. to the same potential as the entrance pinhole of the TOF-MS, the measurement of ambient ions was enabled. This measurement mode is called the atmospheric pressure interface (APi) mode. We used an inlet system that is almost completely manufactured from metal in order to avoid the build-up of electrostatic charge spots, which would then deflect the incoming ambient ions to the walls. The only non-metal piece in the inlet system was a 2 mm thick polyether ether ketone (PEEK) spacer that electrically isolates the inner parts of the ion source from the inlet tube. Between the inlet line and the mass spectrometer, two pressure stages regulated by mass flow controllers and critical orifices allowed for a constant pressure of 200 hPa in the ion source (in the APi mode, the ion source can be considered a pressure-controlled pre-chamber in front of the MS). Our inlet system was designed to minimise wall losses; this is beneficial for both chemical ionisation and the ambient ion mode. Nevertheless, certain losses of ions to the inlet walls or in the pressure stages are unavoidable. It can be assumed, however, that the different ions are affected similarly. We used the LiF-OH inlet system that was specifically developed for HALO (this is usually used for OH measurements with the laser-induced fluorescence technique – LiF; Broch, 2011), as well as a 25 mm outer diameter, 1.7 m long stainless-steel inlet tube with high flow (10 to 30 slpm, depending on the flight altitude) to connect the inlet with our instrument. The TOF-MS records data at a 1 Hz acquisition frequency in an range from 4 to 1121, with a mass resolution of to 3000 and a mass accuracy of 5 ppm for NO. From studies on the mass-dependent transmission of the same mass spectrometer (Heinritzi et al., 2016) using a different corona-induced nitrate CI source (Kürten et al., 2011), we estimate a maximum scaling factor of 2 for the transmission difference between NO and HSO, which is within our overall experimental uncertainty.
The chemical composition of submicron aerosol particles was measured using a compact time-of-flight aerosol mass spectrometer (C-TOF-AMS) (Drewnick et al., 2005; Schulz et al., 2018). The C-TOF-AMS uses a constant pressure inlet (Molleker et al., 2020) followed by an aerodynamic lens to sample particles in a size range between about 40 and 800 nm from ambient air and then focuses the particle beam onto a tungsten vaporiser operated at 600 ∘C. The non-refractory components of the particles are vaporised and the gas molecules are ionised by electron impact. The ions are then extracted into the time-of-flight mass spectrometer and detected by a multichannel plate detector. During CAFE-EU/BLUESKY, the C-TOF-AMS was operated at a time resolution of 30 s. The detection limits lie in the range between 20 and 110 ng m−3, depending on the species measured (Schulz et al., 2018).
Particle size distributions for particles larger than 250 nm in diameter were measured using an optical particle spectrometer (Grimm 1.129 Sky-OPC). The nominal size range of this instrument ranges from 250 nm to 32 µm, divided into 31 size channels. Here, the upper size limit was determined by the aerosol inlet of HALO, whose upper size cut lies around 5 µm. The time resolution was 6 s.
The relative humidity was measured by the Sophisticated Hygrometer for Atmospheric ResearCh (SHARC), which employs a tuneable diode laser (TDL) system. Within clouds, the measurement of the relative humidity can be influenced by the evaporation of cloud particles, and thus measured relative humidities exceeding 100 % are possible. Basic meteorological and flight parameters, such as temperature, aircraft position, and altitude, were measured by the BAsic HAlo Measurement And Sensor system (BAHAMAS). More information on the instrumentation of the aircraft during the CAFE-EU/BLUESKY campaign is given in the overview publication by Voigt et al. (2022).
2.2 Measurement flights
The aforementioned instruments, amongst others, were installed on board the HALO research aircraft for the CAFE-EU/BLUESKY campaign. During the campaign, one test flight and eight scientific flights were performed between 21 May and 9 June 2020, i.e. during the COVID-19 lockdowns in most European countries. All flights commenced and terminated at Oberpfaffenhofen airport (Bavaria, Germany). The area covered included Germany, the Netherlands, Switzerland and Italy (flight nos. 01 to 03), the North Atlantic Flight Corridor including Ireland and the United Kingdom (04 and 05), and France, Italy, and Spain bordering the Mediterranean Sea (06 to 08). Details of the campaign are given in the overview publication by Voigt et al. (2022).
During the eight flights, the SCORPION-TOF-MS was operated in the chemical ionisation mode for the majority of the time. During flight nos. 04 to 08, measurements in the APi mode were performed for at least two periods for each flight (called segments). In the negative APi mode, we took data for a total period of 363 min (6 h), covering an altitude range of 4.7 to 13.5 km, a latitude range of 43.0 to 52.9∘ N, and a longitude range of −13.3 to 10.8∘ E. In the positive mode, we performed one measurement for 86 min, covering an altitude range of 0.6 to 12.7 km, a latitude range of 47.1 to 48.5∘ N, and a longitude range of 8.0 to 12.4∘ E. The details for all APi measurements are summarised in Table 1. For a better overview, the flight tracks of all APi measurements are shown in Fig. 1.
2.3 Data analysis
The recorded mass spectrometric data were post-processed using the IGOR-based Tofware software provided by Aerodyne Research Inc. Corrupted data caused by interference of the data acquisition unit with mobile and Wi-Fi radiation were removed. This interference occurred mainly while HALO was on the apron and only affected <0.2 % of the data obtained during each flight (except flight 01: 1 % of the data). The uncorrupted data were then averaged to 30 s. For typical ground speeds of 160 to 240 m s−1, this relates to a covered ground distance of 5 to 7 km for one averaged data point. The subsequent post-processing included a detailed mass calibration, baseline subtraction, peak identification, and peak integration. The integrated peak values were normalised by the total ion count, yielding the normalised count rates, nCR.
In the laboratory, background measurements of pure synthetic air were conducted. Reproducible peaks occurred at certain mass-to-charge ratios in a range up to 80, with 16, 26, and 19 being the most dominant ones in the negative mode. These background peaks were likely caused by internal chemical processes in the mass spectrometer as their respective appearances were dependent on the sample gas such as synthetic air, nitrogen, or argon. These peaks could also be found in the experimental spectra of the in-flight measurements. As their relative abundance was roughly constant, they were subtracted from the recorded mass spectra of the measurement flights. The only notable overlap with observed ambient ions in the negative mode occurred at nominal mass 62; the ambient ion signals were much stronger than the laboratory background signals at nominal mass 62. The laboratory background signal was 5 % of the total recorded signal at in the highest altitude bin (13.3 km), whilst it constituted 15 % of the total recorded signal in the lowest altitude bin (4.7–5.3 km). These values are within the general measurement uncertainty. Attempting to subtract a background-related portion from the signal recorded during the flights may be detrimental to the results, and therefore this process was omitted.
2.4 Quantification of gaseous sulfuric acid
To quantify the number concentration of gaseous sulfuric acid, we used the steady-state method developed by Arnold and Fabian (1980), which is described in more detail by Arnold and Qiu (1984). This is based on the assumption that hydrogen sulfate ions are virtually only produced by charge transfer from nitrate to sulfuric acid, as given in Reaction (R1).
Nitrate and hydrogen sulfate ions cluster with HNO3 and H2SO4 ligands, yielding (HNO3)mNO, called nitrate core ions, and (H2SO4)k(HNO3)mHSO, called hydrogen sulfate core ions, respectively (see also Sect. 1). Assuming that other source reactions for HSO core ions and the aerosol sink are negligible and that the ions recombine subsequently after the reaction, Arnold and Qiu (1984) presented Eq. (1a) to calculate the number concentration of sulfuric acid from the ratio of the product ions (i.e. the HSO core ions) and the precursor ions (i.e. the NO core ions) for steady-state conditions:
where CR(HSO) and CR(NO) represent the instrument's count rates of HSO core ions (i.e. in our case HSO, (HNO3)HSO, and (H2SO4)HSO) and NO core ions (i.e. in our case NO, (HNO3)NO, and (HNO3)2NO), respectively, in counts per second (cps); k, the reaction rate constant, is cm3 s−1 (Viggiano et al., 1997); and trec is the ion–ion recombination lifetime in seconds. Equation (1a) represents the special case when CR(HSO) ≪ CR(NO). This is not always the case; thus, the more accurate logarithmic term according to Eq. (1b) is used (Heinritzi et al., 2016):
The ion–ion recombination lifetime can be calculated with Eq. (2):
where n+ is the number concentration of positive ions and q is the ion pair production rate. To calculate n+, Eq. (3) can be used (Franchin et al., 2015):
where α is the ion–ion recombination coefficient, and kCS is the condensation sink coefficient. Assuming and that the term for the condensation sink is negligible due to little aerosol surface in the UTLS for ions to condense onto, Eq. (3) can be simplified to Eq. (4):
For steady-state conditions, Eq. (5) is attained (Thomson and Rutherford, 1896):
α is given as cm3 s−1 for conditions at sea level in today's literature (Franchin et al., 2015). This value is taken from Israël (1957, 1971). However, α is temperature- and pressure-dependent and must be adjusted when used for altitudes above 10 km. In a separate work, we discussed different parameterisations and models of the ion–ion recombination rate and concluded that the parameterisation of Israël (1957) is favourable for the troposphere and lower stratosphere (Zauner-Wieczorek et al., 2022); this is characterised by Eq. (6):
where α is in cubic centimetres per second (cm3 s−1), T is the temperature in Kelvin, and ε is the probability for a successful recombination, given by Eq. (7):
where p is the pressure (hPa), λair is the mean free path of the surrounding air, λion is the mean free path of the ion, and the ratio .
Notably, this parameterisation yields an almost constant value of approximately 1.7 to cm3 s−1 for α from the ground level up to 11 km when the values for the US Standard Atmosphere (National Oceanic and Atmospheric Administration et al., 1976) are used; this is close to the above-mentioned value of cm3 s−1. Above 11 km, the value decreases rapidly, with cm3 s−1 at 15 km altitude.
The ion production rate q is dependent on the altitude, geomagnetic latitude, and solar activity (Bazilevskaya et al., 2008). While a typical value for q at sea level is 2 ion pairs cm−3 s−1 (Hensen and van der Hage, 1994), the ion production rate increases with increasing altitude until it reaches a maximum value of 37 ion pairs cm−3 s−1 at 11 to 14 km for polar latitudes (Bazilevskaya et al., 2008). Moreover, as the ionisation by GCRs is stronger at the poles than at lower latitudes, the geomagnetic latitude must be taken into account. This can also be resembled by the geomagnetic cut-off rigidity, RC, representing the shielding effect of the Earth's magnetic field (Smart and Shea, 2005). For the latitude range we covered during the measurement flights (43 to 53∘ N), a geomagnetic cut-off rigidity (RC) of 2 to 6 GV must be applied (Smart and Shea, 2009); therefore, we estimated a value for q of 90 % of the maximum polar value of q (Bazilevskaya et al., 2008) for this data set. Furthermore, solar activity influences the ion production in the atmosphere. Strong solar activities lead to deflection of GCRs and consequently a weaker ionisation; this is especially the case at an altitude of 11 km where the modulation of q is highly dependent on the 11-year solar cycle, leading to a 20 % to 25 % difference in q between solar activity maxima and minima (Bazilevskaya et al., 2008). In May and June 2020, the solar activity was at a minimum (Royal Observatory of Belgium, 2020); thus, maximum values for q had to be considered. Based on the conditions during our sampling (elaborated above) and the dependencies of q summarised by Bazilevskaya et al. (2008), we estimated an ion pair production rate of 30 ion pairs cm−3 s−1 for our data.
3.1 Negative ions
3.1.1 Mass spectrum
Figure 2 shows the average mass spectrum for all measurements in the negative APi mode. The most dominant peak was at and was assigned to nitrate, NO (monomer), followed by the dimer cluster of nitric acid with nitrate, (HNO3)NO (). In addition, the trimer cluster (HNO3)2NO (188) could be observed. As expected in the UTLS, hydrogen sulfate, HSO (97), was detected as were its clusters with nitric acid (160, (HNO3)HSO and sulfuric acid (195, (H2SO4)HSO. Evidence for further clusters with NO or HSO core ions could not be retrieved from the mass spectrum, as either their concentrations are too low to exceed the background noise or they experienced fragmentation in the APi section of the instrument and were thus detected as one or more of the above-mentioned ions. The peak at nominal mass 96 could not be assigned to SO for certain due to the measured exact value being 95.973 compared to the mass of 95.952 of SO. Water clusters such as (H2O)NO (80) could not be observed. The detected peak at nominal mass 80 was also present in the background laboratory measurements and did not exceed the level of the background measurements during the in-flight measurements. The observed ions and their exact masses are listed in Table 2.
The (almost) exclusive detection of the NO or HSO core ions in the ambient ion mass spectrum is typical for the UTLS region and is in accordance with previous measurements (Heitmann and Arnold, 1983). The most notable discrepancy from Heitmann and Arnold's results is the relative abundance of the signals. They found (HNO3)2NO to be the most abundant species, followed by (HNO3)NO and (HNO3)2HSO, with only a slight amount of NO. In our findings, the smaller ions were more abundant than the bigger clusters. Unfortunately, the resolution was comparatively low in the earlier studies so that the peak identified as the trimer (labelled with the value 188±2) is wide enough to easily include other species with ratios of approximately 170 to 205. Possible explanations for this discrepancy are different mass-dependent transmission efficiencies between Heitmann and Arnold's instrument and ours or the potential fragmentation of larger clusters in our instrument. After the CAFE-EU/BLUESKY campaign, we found that the internal voltage settings of the MS can be further improved in order to detect the ion clusters with larger values more efficiently.
3.1.2 Altitude dependence of the ions and quantification of sulfuric acid
Figure 3 shows the altitude dependence of the most abundant ions and gaseous sulfuric acid. Furthermore, the range of the tropopause (10 to 11 km) is indicated by grey shading. In Fig. 3a and b, the normalised count rates of NO and (HNO3)NO, respectively, are shown as a function of the altitude in a box plot. The vertical distributions of the count rates of NO and (HNO3)NO show an increasing trend with increasing altitude. The normalised count rates of both ions are elevated above 11.5 km, i.e. elevated in the lower stratosphere compared to the free troposphere. While the values might not differ significantly from one altitude bin to another, the difference between, for instance, the 13.4 km and the 11.0–11.3 km bins is substantial. The average normalised count rates (squares in Fig. 3) for the 13.4 km bin are for NO and for (HNO3)NO. For the 11.0–11.3 km bin, the average count rates are about a factor of 3 lower ( for NO and for (HNO3)NO. This finding is in accordance with the direct measurements of the corresponding neutral molecule, HNO3, which has been found to be elevated in the stratosphere (Schneider et al., 1998; Schumann et al., 2000; Jurkat et al., 2016). For HSO, a clear altitude dependence cannot be retrieved from our data, as Fig. 3c shows. The differences between two altitude bins can be as high as a factor of 2 (e.g. at 11.0–11.3 km compared to at 10.2 km). The value of at 4.7–5.3 km is comparatively small, although the number of data points below 8.3 km is low, and thus the informative value should not be overestimated.
For every 30 s averaged data tuple of the respective sums of the count rates of the NO core ions and the HSO core ions, the number concentration of sulfuric acid was calculated according to Eq. (1b). From Eqs. (5) and (2), we derived the number concentration of positive ions n+ and the ion–ion recombination lifetime trec for every data tuple. The average trec=136 s (129 to 151 s) and the average cm−3 (3880 to 4540 cm−3). We checked the term for the condensation sink for each flight (see Eq. 3), derived from the Sky-OPC data, and found that it was 2 orders of magnitude below the recombination term for each flight and that it was thus negligible, except for flight segment 06.2; this is addressed in more detail in the next subsection.
The results for the gaseous sulfuric acid number concentration, [H2SO4], are shown as a box plot graph as a function of altitude in Fig. 3d. The smallest average value of 1.9×105 cm−3 H2SO4 was observed at the maximum altitude of 13.4 km. The averages increased with decreasing altitude up to 7.8×105 cm−3 H2SO4 in the 8.7–9.2 km bin; below this altitude, the average concentrations became slightly lower again.
If only the altitudes above 8.7 km, where the data coverage was better, are taken into account, the trend in average concentrations is in accordance with previous findings. Measurements conducted by Heitmann and Arnold (1983) in the altitude range of between 8 and 20 km above western Germany showed that the total number concentration of acidic sulfur gases, of which sulfuric acid is expected to be the most dominant, has a decreasing trend with increasing altitude, with the highest value of 107 cm−3 being at the minimum altitude of 8 km compared to 106 cm−3 at 12 km. It should be noted that the SO2 emissions were significantly higher in Europe in the 1980s compared to today. SO2 is the most important precursor to H2SO4 (Stockwell and Calvert, 1983; Seinfeld and Pandis, 2006). As a rough estimate, one can assume an SO2 emission reduction of 90 % to 95 % from the mid-1980s to 2020 (Smith et al., 2011; European Environmental Agency, 2021). As SO2 is the main source for sulfuric acid in the upper troposphere (Seinfeld and Pandis, 2006), the relatively high concentrations of sulfuric acid in the study by Heitmann and Arnold (1983) can be explained by this assumption. Möhler and Arnold (1992) reported H2SO4 mixing ratios for the altitude range of 6 to 12 km in northern Scandinavia during February 1987; the mixing ratio of sulfuric acid was slightly elevated in the tropopause region (2 to around 9.5 to 10 km); otherwise, it remained at a rather constant level (). When converted to number concentrations, the data reproduce the pattern observed by Heitmann and Arnold (1983), i.e. decreasing H2SO4 number concentrations with increasing altitude. The resulting number concentrations are between 6×105 cm−3 at 12 km and 1×104 cm−3 at 6 km and are thus much less than those reported by Heitmann and Arnold (1983); this is because there are no local pollution sources in the Arctic, even though the sampled air masses have travelled there from lower latitudes, which are more prone to pollution (Möhler and Arnold, 1992). In both studies, gaseous sulfuric acid concentrations were inferred from the ambient ion measurements of NO and HSO using the same approach that we used. In addition, the most recent model for tropospheric ion composition by Beig and Brasseur (2000), based on the observations from the 1980s and 1990s, predicts a strong increase in HSO core ions and H2SO4 below 15 km, with a maximum at around 8 km. Furthermore, Mauldin et al. (2003) reported uniformly low sulfuric acid concentrations in the free troposphere of typically 1 to 8×105 cm−3 between 5 and 7.5 km altitude and usually 0.5 to 2×106 cm−3 between 3 and 5 km. Note that the only two reference studies for detecting sulfuric acid in the UTLS by use of ambient ion measurements were conducted under dissimilar conditions compared to our study: Möhler and Arnold (1992) studied air masses in the Arctic winter with very low concentrations of H2SO4, whilst the results of Heitmann and Arnold (1983) were influenced by massively larger SO2 emissions compared to today. Unfortunately, there are no other direct measurements of neutral sulfuric acid molecules in the UTLS reported in the literature. Thus, direct measurements of gaseous sulfuric acid in the UTLS by state-of-the-art chemical ionisation mass spectrometric techniques are needed for further comparison and validation of the ambient ion-inferred results.
3.1.3 In-cloud measurement
In this section, we report an interesting finding that may be attributed to an artefact. A unique observation within the CAFE-EU/BLUESKY data set was captured during APi measurement 06.2 on 4 June 2020 at 11:02 UTC, when the aircraft flew through a cloud at a flight altitude of 5.3 km. During this period, an incident of 30 s in duration consisting of high ambient ion count rates, high aerosol particle concentrations, and high humidity occurred. In Fig. 4, the relevant parameters for this incident are depicted. While the total ion count rate increased from approximately 51 to 61 ions s−1, the total nitrate count rate (i.e. the sum of NO, (HNO3)NO, and (HNO3)2NO increased from 0.2–0.4 to 5.3 ions s−1, being responsible for half of the total ion count increase (see Fig. 4a). Between 11:01:57 and 11:02:20 UTC, the relative humidity over water (RH) showed three peaks of 132 %–136 % compared to 114 % before and after this event (see Fig. 4b). Please note that the measurements of the relative humidity are influenced by the evaporation of cloud droplets during in-cloud measurements. Thus, the absolute numbers of RH are strongly overestimated here. Nevertheless, one can observe the increased peaks in RH during the event relative to the measured RH values before and after the event. The temperature, however, was constant at 261 K, only decreasing by less than 1 K during the humidity peak events. At this temperature, mixed-phase clouds consist mainly of liquid cloud droplets because the most common ice-nucleating particles, consisting of mineral dust, become active at lower temperatures (Hoose et al., 2010; Hoose and Möhler, 2012; Kanji et al., 2017). The aerosol mass concentration (Fig. 4c) peaked at 11:02:30 (at a time resolution of 30 s) with a total of 3.2 µg cm−3 (at standard temperature and pressure, STP). As in the case of the gas-phase ions, nitrate played an important role in this event, representing approximately 40 % of the particle mass. Figure 4d reveals the particle size distribution and number concentration. Shortly after 11:02:00, two bands of increased particle number concentrations can be observed that correlate well with the peaks of the humidity data. The concentrations of all particle sizes up to 5 µm diameter increased by a factor of up to 100 compared to before and after the event. Most of the aerosol particles were smaller than 1 µm during the event.
Because the aircraft passed through a mainly liquid mixed-phase cloud during this event, it is likely that the shattering of liquid cloud droplets on the surface of the aircraft or the sampling system caused or at least contributed to the observed increase in aerosol mass concentration. We speculate that this observation can be explained by the balloelectric effect (Christiansen, 1913), which describes the generation of electric charge by the shattering of water droplets. In the process of water shattering on the aircraft or inlet surface, the concentration of ions increased; the subsequent reaction time in the inlet system was, however, too short for nitrate to react with other species in order to transfer its charge. It is known that nitric acid and organics are favourably taken up by liquid cloud droplets (e.g. Schneider et al., 2017), which can explain the dominance of nitrate and organics in the measured data. However, the effect of shattering cloud droplets on the ambient ion concentration is not straightforward such that the confident interpretation of these results requires further in-cloud measurements in the APi mode in the future.
3.2 Positive ions
We recorded the mass spectra of positive ambient ions for a total of 86 min during the end of the last measurement flight at an altitude range of 0.6 to 12.7 km. This data coverage does not allow for a detailed analysis of positive ambient ions as performed for the negative ions. However, we can provide the proof of principle for positive ambient ion analysis with our SCORPION-HR-TOF-MS device. We unambiguously detected protonated pyridine (80, H+(C5H5N)), which was especially abundant between 4.6 and 8.5 km (see Fig. 5). Below 4.6 km and above 8.5 km altitude, almost no protonated pyridine was detected. This species was found to be the most abundant positive ion between 3 and 6 km in a previous study (Schulte and Arnold, 1990). There were also signals that strongly hinted to protonated acetonitrile (42, H+(C2H3N)) and protonated acetone (59, H+(C3H6N)); however, further studies with longer measurement durations must be performed to reliably distinguish those signals from the background and to detect and identify further positive ambient ions.
We have presented the first measurement of ambient ions in the free troposphere and lower stratosphere with an HR-APi-TOF-MS above Europe at an altitude range of 4.7 to 13.4 km. We identified the major ambient negative ions NO and HSO and their respective clusters with HNO3 and H2SO4, confirming previously reported research. The nitrate core ions are dominant over the hydrogen sulfate ion family. For (HNO3)0,1NO and HSO, the detailed altitude-resolved abundances are presented; the nitrate core ions are elevated in the stratosphere, whereas hydrogen sulfate shows no significant altitude trend. From the ratio of hydrogen sulfate to nitrate core ions, we inferred the number concentration of gaseous sulfuric acid. The resulting average values were determined to be 1.9 to 7.8×105 cm−3 for the altitude range of 4.7 to 13.4 km, with an overall observed decreasing trend towards higher altitudes. During the transit through a mixed-phase cloud, we observed an event of concurrent elevated aerosol particle concentrations and ambient ion counts that may be explained by the shattering of cloud water droplets on the surface of the airplane or inlet system. Nitrate played the dominant role in the chemical composition of both the measured ions and the particles. Furthermore, we provided a proof of principle for the measurement of positive ions and were able to unambiguously identify protonated pyridine (H+(C5H5N)), which is especially abundant between 4.6 and 8.5 km altitude. For future research, more data need to be acquired in order to complete the altitude profiles of ambient ions, especially cations. In addition, up-to-date chemical ionisation mass spectrometric measurements of gaseous sulfuric acid are needed for the UTLS in order to compare and validate the data presented herein.
The data shown in the figures were calculated according to the equations provided in the current paper. No numeric model calculations were performed, and therefore no software code was uploaded to a public data repository.
MZW, MH, and JC designed the study. MZW, MH, MG, TK, KK, and JS prepared and conducted the experiments. MZW analysed the data. MZW, MH, AK, and JC discussed the results. MZW wrote the paper with contributions from MH and JS. All co-authors provided input for revision before submission.
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.
This article is part of the special issue “BLUESKY atmospheric composition measurements by aircraft during the COVID-19 lockdown in spring 2020”. It is not associated with a conference.
We thank the Max Planck Institute for Chemistry and its staff for organising and conducting the CAFE-EU/BLUESKY campaign and the German Aerospace Center (DLR) and its staff for providing the infrastructure, especially during the Corona lockdown. We thank Frank Malkemper, Laurin Merkel, and Robert Sitals for their contributions to the campaign preparation and instrument development. We thank the two anonymous referees for their valuable feedback.
This research has been supported by the Deutsche Forschungsgemeinschaft (grant no. TRR 301 “TP-Change” – project ID 428312742, research project A03), the Messer Foundation (Bad Soden am Taunus, Germany), and the Heinrich Böll Stiftung.
This open-access publication was funded by the Goethe University Frankfurt.
This paper was edited by Andreas Petzold and reviewed by two anonymous referees.
Arijs, E.: Stratospheric ion chemistry: Present understanding and outstanding problems, Planet. Space Sci., 40, 255–270, https://doi.org/10.1016/0032-0633(92)90064-U, 1992.
Arijs, E., Ingels, J., and Nevejans, D.: Mass spectrometric measurement of the positive ion composition in the stratosphere, Nature, 271, 642–644, https://doi.org/10.1038/271642a0, 1978.
Arnold, F. and Fabian, R.: First measurements of gas phase sulphuric acid in the stratosphere, Nature, 283, 55–57, https://doi.org/10.1038/283055a0, 1980.
Arnold, F. and Henschen, G.: First mass analysis of stratospheric negative ions, Nature, 275, 521–522, https://doi.org/10.1038/275521a0, 1978.
Arnold, F. and Knop, G.: Stratospheric trace gas detection using a new balloon-borne acims method, Int. J. Mass Spectrom. Ion Process., 81, 33–44, https://doi.org/10.1016/0168-1176(87)80004-6, 1987.
Arnold, F. and Qiu, S.: Upper stratosphere negative ion composition measurements and inferred trace gas abundances, Planet. Space Sci., 32, 169–177, https://doi.org/10.1016/0032-0633(84)90151-X, 1984.
Arnold, F., Krankowsky, D., Wieder, H., and Zähringer, J.: Negative ions in the lower ionosphere: A mass spectrometric measurement, J. Atmos. Terr. Phys., 33, 1169–1175, https://doi.org/10.1016/0021-9169(71)90104-8, 1971.
Arnold, F., Krankowsky, D., and Marien, K. H.: First mass spectrometric measurements of positive ions in the stratosphere, Nature, 267, 30–32, https://doi.org/10.1038/267030a0, 1977.
Arnold, F., Böhringer, H., and Henschen, G.: Composition measurements of stratospheric positive ions, Geophys. Res. Lett., 5, 653–656, https://doi.org/10.1029/GL005i008p00653, 1978.
Arnold, F., Heitmann, H., and Oberfrank, K.: First composition measurements of positive ions in the upper troposphere, Planet. Space Sci., 32, 1567–1576, https://doi.org/10.1016/0032-0633(84)90026-6, 1984.
Arnold, F., Wohlfrom, H., Klemm, M. W., Schneider, J., Gollinger, K., Schumann U., and Busen, R.: First gaseous ion composition measurements in the exhaust plume of a jet aircraft in flight: Implications for gaseous sulfuric acid, aerosols, and chemiions, Geophys. Res. Lett., 25, 2137–2140, https://doi.org/10.1029/98GL01579, 1998.
Aufmhoff, H., Hanke, M., Uecker, J., Schlager, H., and Arnold, F.: An ion trap CIMS instrument for combined measurements of atmospheric OH and H2SO4: First test measurements above and inside the planetary boundary layer, Int. J. Mass Spectrom., 308, 26–34, https://doi.org/10.1016/j.ijms.2011.07.016, 2011.
Bazilevskaya, G. A., Usoskin, I. G., Flückiger, E. O., Harrison, R. G., Desorgher, L., Bütikofer, R., Krainev, M. B., Makhmutov, V. S., Stozhkov, Y. I., Svirzhevskaya, A. K., Svirzhevsky, N. S., and Kovaltsov, G. A.: Cosmic Ray Induced Ion Production in the Atmosphere, Space Sci. Rev., 137, 149–173, https://doi.org/10.1007/s11214-008-9339-y, 2008.
Beck, L. J., Schobesberger, S., Junninen, H., Lampilahti, J., Manninen, A., Dada, L., Leino, K., He, X.-C., Pullinen, I., Quéléver, L. L. J., Franck, A., Poutanen, P., Wimmer, D., Korhonen, F., Sipilä, M., Ehn, M., Worsnop, D. R., Kerminen, V.-M., Petäjä, T., Kulmala, M., and Duplissy, J.: Diurnal evolution of negative atmospheric ions above the boreal forest: from ground level to the free troposphere, Atmos. Chem. Phys., 22, 8547–8577, https://doi.org/10.5194/acp-22-8547-2022, 2022a.
Beck, L. J., Schobesberger, S., Sipilä, M., Kerminen, V.-M., and Kulmala, M.: Estimation of sulfuric acid concentration using ambient ion composition and concentration data obtained with atmospheric pressure interface time-of-flight ion mass spectrometer, Atmos. Meas. Tech., 15, 1957–1965, https://doi.org/10.5194/amt-15-1957-2022, 2022b.
Beig, G. and Brasseur, G. P.: Model of tropospheric ion composition: A first attempt, J. Geophys. Res., 105, 22671–22684, https://doi.org/10.1029/2000JD900119, 2000.
Bianchi, F., Tröstl, J., Junninen, H., Frege, C., Henne, S., Hoyle, C. R., Molteni, U., Herrmann, E., Adamov, A., Bukowiecki, N., Chen, X., Duplissy, J., Gysel, M., Hutterli, M., Kangasluoma, J., Kontkanen, J., Kürten, A., Manninen, H. E., Münch, S., Peräkylä, O., Petäjä, T., Rondo, L., Williamson, C., Weingartner, E., Curtius, J., Worsnop, D. R., Kulmala, M., Dommen, J., and Baltensperger, U.: New particle formation in the free troposphere: A question of chemistry and timing, Science, 352, 1109–1112, https://doi.org/10.1126/science.aad5456, 2016.
Broch, S.: Ein neues LIF-Instrument für flugzeug-und bodengebundene Messungen von OH-und HO2-Radikalen in der Troposphäre, Schriften des Forschungszentrums Jülich: Energie & Umwelt/Energy & Environment, 122, Zentralbibliothek Verlag, Jülich, 2011.
Christiansen, C.: Elektrizitätserregung beim Zerspritzen von Flüssigkeiten (Balloelektrizität), Annalen der Physik, 345, 107–137, https://doi.org/10.1002/andp.19133450105, 1913.
Dörich, R., Eger, P., Lelieveld, J., and Crowley, J. N.: Iodide CIMS and 62: the detection of HNO3 as NO in the presence of PAN, peroxyacetic acid and ozone, Atmos. Meas. Tech., 14, 5319–5332, https://doi.org/10.5194/amt-14-5319-2021, 2021.
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. Technol., 39, 637–658, https://doi.org/10.1080/02786820500182040, 2005.
Ehn, M., Junninen, H., Petäjä, T., Kurtén, T., Kerminen, V.-M., Schobesberger, S., Manninen, H. E., Ortega, I. K., Vehkamäki, H., Kulmala, M., and Worsnop, D. R.: Composition and temporal behavior of ambient ions in the boreal forest, Atmos. Chem. Phys., 10, 8513–8530, https://doi.org/10.5194/acp-10-8513-2010, 2010.
Eichkorn, S., Wilhelm, S., Aufmhoff, H., Wohlfrom, K. H., and Arnold, F.: Cosmic ray-induced aerosol-formation: First observational evidence from aircraft-based ion mass spectrometer measurements in the upper troposphere, Geophys. Res. Lett., 29, 43-1–43-4, https://doi.org/10.1029/2002GL015044, 2002.
Eisele, F. L.: Identification of tropospheric ions, J. Geophys. Res., 91, 7897–7906, https://doi.org/10.1029/JD091iD07p07897, 1986.
Eisele, F. L.: First tandem mass spectrometric measurement of tropospheric ions, J. Geophys. Res., 93, 716–724, https://doi.org/10.1029/JD093iD01p00716, 1988.
Eisele, F. L.: Natural and anthropogenic negative ions in the troposphere, J. Geophys. Res., 94, 2183–2196, https://doi.org/10.1029/JD094iD02p02183, 1989a.
Eisele, F. L.: Natural and transmission line produced positive ions, J. Geophys. Res., 94, 6309–6318, https://doi.org/10.1029/JD094iD05p06309, 1989b.
European Environmental Agency: Air pollutant emissions, European Environmental Agency, https://www.eea.europa.eu/data-and-maps/dashboards/air-pollutant-emissions-data-viewer-3, last access: 8 February 2021.
Franchin, A., Ehrhart, S., Leppä, J., Nieminen, T., Gagné, S., Schobesberger, S., Wimmer, D., Duplissy, J., Riccobono, F., Dunne, E. M., Rondo, L., Downard, A., Bianchi, F., Kupc, A., Tsagkogeorgas, G., Lehtipalo, K., Manninen, H. E., Almeida, J., Amorim, A., Wagner, P. E., Hansel, A., Kirkby, J., Kürten, A., Donahue, N. M., Makhmutov, V., Mathot, S., Metzger, A., Petäjä, T., Schnitzhofer, R., Sipilä, M., Stozhkov, Y., Tomé, A., Kerminen, V.-M., Carslaw, K., Curtius, J., Baltensperger, U., and Kulmala, M.: Experimental investigation of ion–ion recombination under atmospheric conditions, Atmos. Chem. Phys., 15, 7203–7216, https://doi.org/10.5194/acp-15-7203-2015, 2015.
Frege, C., Bianchi, F., Molteni, U., Tröstl, J., Junninen, H., Henne, S., Sipilä, M., Herrmann, E., Rossi, M. J., Kulmala, M., Hoyle, C. R., Baltensperger, U., and Dommen, J.: Chemical characterization of atmospheric ions at the high altitude research station Jungfraujoch (Switzerland), Atmos. Chem. Phys., 17, 2613–2629, https://doi.org/10.5194/acp-17-2613-2017, 2017.
Greene, C. A., Thirumalai, K., Kearney, K. A., Delgado, J. M., Schwanghart, W., Wolfenbarger, N. S., Thyng, K. M., Gwyther, D. E., Gardner, A. S., and Blankenship, D. D.: The Climate Data Toolbox for MATLAB, Geochem. Geophys. Geosyst., 20, 3774–3781, https://doi.org/10.1029/2019GC008392, 2019.
He, X.-C., Tham, Y. J., Dada, L., Wang, M., Finkenzeller, H., Stolzenburg, D., Iyer, S., Simon, M., Kürten, A., Shen, J., Rörup, B., Rissanen, M., Schobesberger, S., Baalbaki, R., Wang, D. S., Koenig, T. K., Jokinen, T., Sarnela, N., Beck, L. J., Almeida, J., Amanatidis, S., Amorim, A., Ataei, F., Baccarini, A., Bertozzi, B., Bianchi, F., Brilke, S., Caudillo, L., Granzin, M., Hansel, A., Heinritzi, M., Hofbauer, V., Junninen, H., Kangasluoma, J., Kemppainen, D., Kim, C., Kong, W., Krechmer, J. E., Kvashin, A., Laitinen, T., Lamkaddam, H., Lee, C. P., Lehtipalo, K., Leiminger, M., Li, Z., Makhmutov, V., Manninen, H. E., Marie, G., Marten, R., Mathot, S., Mauldin, R. L., Mentler, B., Möhler, O., Müller, T., Nie, W., Onnela, A., Petäjä, T., Pfeifer, J., Philippov, M., Ranjithkumar, A., Saiz-Lopez, A., Salma, I., Scholz, W., Schuchmann, S., Schulze, B., Steiner, G., Stozhkov, Y., Tauber, C., Tomé, A., Thakur, R. C., Väisänen, O., Vazquez-Pufleau, M., Wagner, A. C., Wang, Y., Weber, S. K., Winkler, P. M., Wu, Y., Xiao, M., Yan, C., Ye, Q., Ylisirniö, A., Zauner-Wieczorek, M., Zha, Q., Zhou, P., Flagan, R. C., Curtius, J., Baltensperger, U., Kulmala, M., Kerminen, V.-M., Kurtén, T., Donahue, N. M., Volkamer, R., Kirkby, J., Worsnop, D. R., and Sipilä, M.: Role of iodine oxoacids in atmospheric aerosol nucleation, Science, 371, 589–595, https://doi.org/10.1126/science.abe0298, 2021.
Heinritzi, M., Simon, M., Steiner, G., Wagner, A. C., Kürten, A., Hansel, A., and Curtius, J.: Characterization of the mass-dependent transmission efficiency of a CIMS, Atmos. Meas. Tech., 9, 1449–1460, https://doi.org/10.5194/amt-9-1449-2016, 2016.
Heitmann, H. and Arnold, F.: Composition measurements of tropospheric ions, Nature, 306, 747–751, https://doi.org/10.1038/306747a0, 1983.
Hensen, A. and van der Hage, J. C. H.: Parameterization of cosmic radiation at sea level, J. Geophys. Res., 99, 10693–10695, https://doi.org/10.1029/93JD01226, 1994.
Hirsikko, A., Nieminen, T., Gagné, S., Lehtipalo, K., Manninen, H. E., Ehn, M., Hõrrak, U., Kerminen, V.-M., Laakso, L., McMurry, P. H., Mirme, A., Mirme, S., Petäjä, T., Tammet, H., Vakkari, V., Vana, M., and Kulmala, M.: Atmospheric ions and nucleation: a review of observations, Atmos. Chem. Phys., 11, 767–798, https://doi.org/10.5194/acp-11-767-2011, 2011.
Hoell, J. M., Davis, D. D., Liu, S. C., Newell, R. E., Akimoto, H., McNeal, R. J., and Bendura, R. J.: The Pacific Exploratory Mission-West Phase B: February-March, 1994, J. Geophys. Res., 102, 28223–28239, https://doi.org/10.1029/97JD02581, 1997.
Hoell, J. M., Davis, D. D., Jacob, D. J., Rodgers, M. O., Newell, R. E., Fuelberg, H. E., McNeal, R. J., Raper, J. L., and Bendura, R. J.: Pacific Exploratory Mission in the tropical Pacific: PEM-Tropics A, August–September 1996, J. Geophys. Res., 104, 5567–5583, https://doi.org/10.1029/1998JD100074, 1999.
Hoose, C. and Möhler, O.: Heterogeneous ice nucleation on atmospheric aerosols: a review of results from laboratory experiments, Atmos. Chem. Phys., 12, 9817–9854, https://doi.org/10.5194/acp-12-9817-2012, 2012.
Hoose, C., Kristjánsson, J. E., and Burrows, S. M.: How important is biological ice nucleation in clouds on a global scale?, Environ. Res. Lett., 5, 24009, https://doi.org/10.1088/1748-9326/5/2/024009, 2010.
Israël, H.: Atmosphärische Elektrizität: Teil 1. Grundlagen, Leitfähigkeit, Ionen, Akademische Verlagsgesellschaft Geest & Portig K.G., Leipzig, 1957.
Israël, H.: Atmospheric Electricity: Volume I. Fundamentals, Conductivity, Ions, 2nd edn., Israel Program for Scientific Translations Ltd, Jerusalem, 1971.
Johnson, C. Y., Meadow, E. B., and Holmes, J. C.: Ion Composition of the Arctic Ionosphere, J. Geophys. Res., 63, 433, https://doi.org/10.1029/JZ063i002p00443, 1958.
Junninen, H., Ehn, M., Petäjä, T., Luosujärvi, L., Kotiaho, T., Kostiainen, R., Rohner, U., Gonin, M., Fuhrer, K., Kulmala, M., and Worsnop, D. R.: A high-resolution mass spectrometer to measure atmospheric ion composition, Atmos. Meas. Tech., 3, 1039–1053, https://doi.org/10.5194/amt-3-1039-2010, 2010.
Jurkat, T., Kaufmann, S., Voigt, C., Schäuble, D., Jeßberger, P., and Ziereis, H.: The airborne mass spectrometer AIMS – Part 2: Measurements of trace gases with stratospheric or tropospheric origin in the UTLS, Atmos. Meas. Tech., 9, 1907–1923, https://doi.org/10.5194/amt-9-1907-2016, 2016.
Kanji, Z. A., Ladino, L. A., Wex, H., Boose, Y., Burkert-Kohn, M., Cziczo, D. J., and Krämer, M.: Overview of Ice Nucleating Particles, Meteorological Monographs, 58, 1.1–1.33, https://doi.org/10.1175/AMSMONOGRAPHS-D-16-0006.1, 2017.
Kürten, A., Rondo, L., Ehrhart, S., and Curtius, J.: Performance of a corona ion source for measurement of sulfuric acid by chemical ionization mass spectrometry, Atmos. Meas. Tech., 4, 437–443, https://doi.org/10.5194/amt-4-437-2011, 2011.
Lee, B. H., Lopez-Hilfiker, F. D., Veres, P. R., McDuffie, E. E., Fibiger, D. L., Sparks, T. L., Ebben, C. J., Green, J. R., Schroder, J. C., Campuzano-Jost, P., Iyer, S., D'Ambro, E. L., Schobesberger, S., Brown, S. S., Wooldridge, P. J., Cohen, R. C., Fiddler, M. N., Bililign, S., Jimenez, J. L., Kurtén, T., Weinheimer, A. J., Jaegle, L., and Thornton, J. A.: Flight Deployment of a High-Resolution Time-of-Flight Chemical Ionization Mass Spectrometer: Observations of Reactive Halogen and Nitrogen Oxide Species, J. Geophys. Res.-Atmos., 105, 3527, https://doi.org/10.1029/2017JD028082, 2018.
Mauldin, R. L., Cantrell, C. A., Zondlo, M. A., Kosciuch, E., Ridley, B. A., Weber, R., and Eisele, F. E.: Measurements of OH, H2SO4, and MSA during Tropospheric Ozone Production About the Spring Equinox (TOPSE), J. Geophys. Res., 108, 1329, https://doi.org/10.1029/2002JD002295, 2003.
Möhler, O. and Arnold, F.: Gaseous sulfuric acid and sulfur dioxide measurements in the Arctic troposphere and lower stratosphere: Implications for hydroxyl radical abundances, Geophys. Res. Lett., 19, 1763–1766, https://doi.org/10.1029/92GL01807, 1992.
Möhler, O., Reiner, T., and Arnold, F.: A novel aircraft-based tandem mass spectrometer for atmospheric ion and trace gas measurements, Rev. Sci. Instr., 64, 1199–1207, https://doi.org/10.1063/1.1144455, 1993.
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, https://doi.org/10.5194/amt-13-3651-2020, 2020.
Narcisi, R. S. and Bailey, A. D.: Mass spectrometric measurements of positive ions at altitudes from 64 to 112 kilometers, J. Geophys. Res., 70, 3687–3700, https://doi.org/10.1029/JZ070i015p03687, 1965.
Narcisi, R. S., Bailey, A. D., Della Lucca, L., Sherman, C., and Thomas, D. M.: Mass spectrometric measurements of negative ions in the D- and lower E-regions, J. Atmos. Terr. Phys., 33, 1147–1159, https://doi.org/10.1016/0021-9169(71)90102-4, 1971.
National Oceanic and Atmospheric Administration, National Aeronautics and Space Administration, and United States Air Force: U.S. Standard Atmosphere, 1976, U.S. Government Printing Office, Washington, D.C., https://ntrs.nasa.gov/api/citations/19770009539/downloads/19770009539.pdf (last access: 8 September 2022), 1976.
Perkins, M. D. and Eisele, F. L.: First mass spectrometric measurements of atmospheric ions at ground level, J. Geophys. Res., 89, 9649–9657, https://doi.org/10.1029/JD089iD06p09649, 1984.
re3data.org: HALO database, editing status 17 November 2021, re3data.org – Registry of Research Data Repositories [data set], https://doi.org/10.17616/R39Q0T, 2022.
Royal Obervatory of Belgium: Sunspot Index and Longterm Solar Observations (SILSO): Daily and monthly sunspot number (last 13 years), http://sidc.be/silso/dayssnplot, last access: 4 November 2020.
Schneider, J., Arnold, F., Bürger, V., Droste-Franke, B., Grimm, F., Kirchner, G., Klemm, M., Stilp, T., Wohlfromm, K.-H., Siegmund, P., and van Velthoven, P. F. J.: Nitric acid (HNO3) in the upper troposphere and lower stratosphere at midlatitudes: New results from aircraft-based mass spectrometric measurements, J. Geophys. Res., 103, 25337–25343, https://doi.org/10.1029/98JD02240, 1998.
Schneider, J., Mertes, S., van Pinxteren, D., Herrmann, H., and Borrmann, S.: Uptake of nitric acid, ammonia, and organics in orographic clouds: mass spectrometric analyses of droplet residual and interstitial aerosol particles, Atmos. Chem. Phys., 17, 1571–1593, https://doi.org/10.5194/acp-17-1571-2017, 2017.
Schulte, P. and Arnold, F.: Pyridinium ions and pyridine in the free troposphere, Geophys. Res. Lett., 17, 1077–1080, https://doi.org/10.1029/GL017i008p01077, 1990.
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, https://doi.org/10.5194/acp-18-14979-2018, 2018.
Schumann, U., Schlager, H., Arnold, F., Ovarlez, J., Kelder, H., Hov, Ø., Hayman, G., Isaksen, I. S. A., Staehelin, J., and Whitefield, P. D.: Pollution from aircraft emissions in the North Atlantic flight corridor: Overview on the POLINAT projects, J. Geophys. Res., 105, 3605–3631, https://doi.org/10.1029/1999JD900941, 2000.
Seinfeld, J. H. and Pandis, S. N.: Atmospheric Chemistry and Physics: From Air Pollution to Climate Change, 2nd edn., John Wiley & Sons, Hoboken, New Jersey, 1248 pp., ISBN 9780471720188, 2006.
Shuman, N. S., Hunton, D. E., and Viggiano, A. A.: Ambient and modified atmospheric ion chemistry: from top to bottom, Chem. Rev., 115, 4542–4570, https://doi.org/10.1021/cr5003479, 2015.
Smart, D. F. and Shea, M. A.: A review of geomagnetic cutoff rigidities for earth-orbiting spacecraft, Adv. Space Res., 36, 2012–2020, https://doi.org/10.1016/j.asr.2004.09.015, 2005.
Smart, D. F. and Shea, M. A.: Fifty years of progress in geomagnetic cutoff rigidity determinations, Adv. Space Res., 44, 1107–1123, https://doi.org/10.1016/j.asr.2009.07.005, 2009.
Smith, S. J., van Aardenne, J., Klimont, Z., Andres, R. J., Volke, A., and Delgado Arias, S.: Anthropogenic sulfur dioxide emissions: 1850–2005, Atmos. Chem. Phys., 11, 1101–1116, https://doi.org/10.5194/acp-11-1101-2011, 2011.
Stockwell, W. R. and Calvert, J. G.: The mechanism of the HO-SO2 reaction, Atmos. Environ., 17, 2231–2235, https://doi.org/10.1016/0004-6981(83)90220-2, 1983.
Thomson, J. J. and Rutherford, E.: XL. On the passage of electricity through gases exposed to Röntgen rays, The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science, 42, 392–407, https://doi.org/10.1080/14786449608620932, 1896.
Viggiano, A. A. and Arnold, F.: Ion Chemistry and Composition of the Atmosphere, in: Handbook of Atmospheric Dynamics. Volume 1. Atmospheric Electricity, edited by: Volland, H., CRC Press, Boca Raton, London, Tokyo, 1–25, ISBN 0849386470, 1995.
Viggiano, A. A., Seeley, J. V., Mundis, P. L., Williamson, J. S., and Morris, R. A.: Rate Constants for the Reactions of XO3-(H2O)n (X= C, HC, and N) and NO3-(HNO3)n with H2SO4: Implications for Atmospheric Detection of H2SO4, J. Phys. Chem. A, 101, 8275–8278, https://doi.org/10.1021/jp971768h, 1997.
Voigt, C., Lelieveld, J., Schlager, H., Schneider, J., Curtius, J., Meerkötter, R., Sauer, D., Buglario, L., Bohn, B., Crowley, J. N., Erbetseder, T., Groß, S., Hahn, V., Li, Q., Mertens, M., Pöhlker, M., Pozzer, A., Schumann, U., Tomsche, L., Williams, J., Zahn, A., Andreae, M. O., Borrmann, S., Bräuer, T., Dörich, R., Dörnbrack, A., Edtbauer, A., Ernle, L., Fischer, H., Giez, A., Granzin, M., Grewe, V., Harder, H., Heinritzi, M., Holanda, B., Jöckel, P., Kaiser, K., Krüger, O., Lucke, J., Marsing, A., Martin, A., Matthes, S., Pöhlker, C., Pöschl, U., Reifenberg, S., Ringsdorf, A., Scheibe, M., Tadic, I., Zauner-Wieczorek, M., Henke, R., and Rapp, M.: Cleaner Skies during the COVID-19 Lockdown, B. Am. Meteorol. Soc., 103, E1798–E1827, https://doi.org/10.1175/BAMS-D-21-0012.1, 2022.
Weber, R. J., McMurry, P. H., Mauldin, R. L., Tanner, D. J., Eisele, F. L., Clarke, A. D., and Kapustin, V. N.: New Particle Formation in the Remote Troposphere: A Comparison of Observations at Various Sites, Geophys. Res. Lett., 26, 307–310, https://doi.org/10.1029/1998GL900308, 1999.
Weber, R. J., Chen, G., Davis, D. D., Mauldin, R. L., Tanner, D. J., Eisele, F. L., Clarke, A. D., Thornton, D. C., and Bandy, A. R.: Measurements of enhanced H2SO4 and 3-4 nm particles near a frontal cloud during the First Aerosol Characterization Experiment ACE 1, J. Geophys. Res., 106, 24107–24117, https://doi.org/10.1029/2000JD000109, 2001.
Weber, R. J., Lee, S., Chen, G., Wang, B., Kapustin, V., Moore, K., Clarke, A. D., Mauldin, R. L., Kosciuch, E., Cantrell, C., Eisele, F., Thornton, D. C., Bandy, A. R., Sachse, G. W., and Fuelberg, H. E.: New particle formation in anthropogenic plumes advecting from Asia observed during TRACE-P, J. Geophys. Res., 108, 7433, https://doi.org/10.1029/2002JD003112, 2003.
Zauner-Wieczorek, M., Curtius, J., and Kürten, A.: The ion-ion recombination coefficient α: Comparison of temperature- and pressure-dependent parameterisations for the troposphere and lower stratosphere, Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2021-795, in review, 2021.