FAQ for AMS Data Users

The purpose of this page is to serve as a repository of answers to frequently asked questions from users of AMS data products. Contributions are most welcome, and should be directed to the curator of the page (JL Jimenez as of Jan. 2016). A shorcut to this page is http://tinyurl.com/FAQ-AMS-Data

General FAQs

Which species and size range does the AMS measure and not measure?

• The AMS measures submicron aerosols. The details of the transmission curve of the AMS are discussed at this link below.
  • A new aerodynamic lens is being developed which allows measurements of supermicron aerosols as well, see this link and this link. As of May 2016 this is still prototype system and very few AMSs are using it.
• The AMS measures non-refractory species, which are those that evaporate in a second or less at 600C under high vacuum. In practice this includes the secondary inorganic salts (ammonium sulfate, ammonium nitrate, ammonium chloride) and organic species.
• The AMS has traditionally been assumed to not measure dust and metals, sea salt, and black carbon. However new research has shown some capabilities in this regard.
  • The use of the background signal allows the detection of slowly-evaporating species in timescales of several hours instead of 1 s. This allows detecting species with vapor pressures ~4 orders of magnitude lower than traditional non-refractory species. We refer to those as "semi-refractory" species. See Salcedo et al. (ACP 2011) for a description of the method and its application to Pb measurements. At of May 2016 this analysis requires custom analysis which is not part of the standard AMS software.
  • Ovadnevaite et al. (JGR 2012) demonstrated the detection of submicron sea salt with the AMS. This requires sampling humid aerosols (i.e. w/o a dryer). There is some debate about this capability in the literature.
  • A new version of the AMS (Soot-Particle AMS, SP-AMS, Onasch et al., AS&T 2012) allows the detection of black-carbon by using laser-induced incandescence vaporization, instead of the traditional tungsten vaporizer.

Are particles dry or wet when sampled in the AMS?

• Particles lose water in the aerodynamic lens, thus we typically do not report concentrations of particle phase water.

• On aircraft the airflow into the AMS is typically not dried, but RH is typically low because of the heating from ram and heat transfer in the cabin. An estimate of the actual humidity just before the AMS can be derived by assuming that the absolute humidity (% or ppm of H2O) is the same as in the air outside of the plane. Then the inside RH can be calculated from the absolute humidity (calculated from the outside RH and temperature) and the measured temperature of the AMS inlet. Depending on aircraft speed and altitude the heating can vary between ~15C-50C. Since an increase of 1C corresponds to a decrease of ~5% RH, humidities in the AMS inlet are typically low.

• On ground-based studies using the standard vaporizer it is highly recommended to dry the particles using a steel-encased nafion dryer to reduce variations in collection efficiency arising from particles that retain significant water in the AMS (e.g. Allan et al., JGR 2004). However not all AMS users follow this procedure.
  • Detection of submicron sea salt does not work if the particles are dried, and some users in marine studies do not dry for this reason.
  • The new capture vaporizer (CapVap) has a collection efficiency around 100%, and it is expected that drying will no longer be necessary when using it. As of May 2016 studies comparing dried vs. not dried aerosol with the CapVap have not been reported, to our knowledge.

Should instrument response time be taken into account in intercomparisons?

• In aircraft comparisons with instruments that have a longer tail in response time (such as those based on ion-chromatography), the AMS data may need to be degraded with a one-sided function empirically-determined from the analysis of the response of both instruments to rapid and large changes in concentration. See pages 4-6 in this AMS Users Presentation by Cubison and Jimenez for further details.

Is there a glossary of AMS jargon I don't understand?

• Yes! The AMS is a complex instrument, and as a result we have created a large set of AMS-specific words and acronyms. This glossary is a work in progress, so please edit and/or send us questions on it!

Concentration FAQs

Are AMS concentrations always reported under STP or ambient conditions?

• This depends on the particular study and group. All papers reporting μg m^-3 of aerosol should state the basis of the m^-3 in the experimental section. Unfortunately this is not always the case, and the generators of the data should then be contacted.

• Note that sometimes an AMS User may not pay attention to this detail, so that the group generating the data doesn't even know how they are reporting. In that case it boils down to what the flowmeter used to calibrate the AMS flow reports, which can be either standard (with more than one definition, see below) or ambient at the location where the calibration was performed (which often is not the same location as where the measurements were performed).

• To avoid confusion, we recommend the use of the unit μg sm^-3 or μg m^-3(STP) (see below) for concentrations reported under STP conditions, and of μg m^-3 or μg am^-3 for concentrations reported under ambient conditions.

What are μg sm^-3?

• μg sm^-3 are μg m^-3 converted to standard pressure and temperature (STP) conditions of 1013 mbar, 273K without any evaporation/condensation. These units are very useful when comparing data taken over a range of pressure and temperatures, such as aircraft data. They are also very useful when comparing aircraft data to data from ground sites, or data from different ground sites which have different ambient pressures and/or temperatures.

• Ratios to gas-phase species (e.g. OOA/Ox) are constant when expressed in μg sm^-3 ppb^-1, but not if μg m^-3 are used.

• Note that unfortunately there are many other definitions of STP, many of which are compiled in this Wikipedia article. Some of them are also used in the aerosol field, so be aware of these possible differences, which can be of the order of 10%.

Is it normal that there are some negative concentrations?

• YES, THIS IS NORMAL. Any instrument has a certain amount of noise, and when measuring a zero concentration, equal numbers of positive and negative measurements should cancel out to provide an average of zero. When the concentrations are near detection limit, a significant fraction of the measurements may be negative. This fraction should be 50% in filtered air or extremely clean air, otherwise the instrument is not working properly. It is very important to NOT REMOVE the negative measurements from the analysis, as this would bias the averages.

• Unfortunately this has proven confusing for many people, especially with some modelers and with experimenters familiar with chromatographic techniques where the convention is to report small numbers as "below detection limit." However that practice can result in a bias, and the quantification of averages at low concentrations is better if the negative numbers are kept.

Are the AMS concentrations of sulfate (nitrate) reported as μg SO₄ m^-3, or μg S m^-3 (or NO₃ vs N; or OA vs OC vs OM)?

• The AMS measures the concentrations of SO₄ (not only S), NO₃ (not only N). For SO₄ and NO₃ the conversion is straightforward.
• The AMS measures the organic aerosol mass (OA, sometimes also referred to as OM in older literature) and not only the OC or C. Sometimes modelers use the term OC when they really mean OA, this is very confusing and should be avoided. The term OA is nearly standard in the field now (e.g. see this large review of global models of OA by Tsigaridis et al. (ACP 2014)). To convert between OA and OC one needs the OA/OC ratio (also known as OM/OC ratio in older literature), which is measured by the HR-AMS and can also be quantified by other methods.

Why do you write SO₄ & NO₃ and not SO₄^2- & NO₃^-?

• In the aerosol community people often don't add the charges because it is understood that those symbols refer to aerosol nitrate and sulfate.

• For the AMS, we also detect some signal as part of the SO₄ & NO₃ "species" which may arise from organonitrates and organosulfates, which are not ions (see e.g. Farmer et al., PNAS 2010), thus it may not always be proper to use the charges. For example in this study by Fry et al. (ACP 2013) the NO³ detected by the AMS was almost completely organic.

Organic Aerosol (OA) FAQs

Is the AMS OA the same as "OC" or "organic carbon" measured with other instruments and reported by some models?

• OA correspond to organic aerosol mass (sometimes referred to as OM in older literature). It includes OC (organic carbon), as well other atoms (H,O,N) in organic species. See Aiken et al. (Environ. Sci. Technol. 2008) and Canagaratna et al. (ACP 2015) for details.
• The term "organics" is used in the AMS analysis software, but should be avoided in presentations and publications as it causes confusion with gas-phase organics.

How come you report both OA and OC in some datasets?

• The high resolution AMS can measure the OA/OC which is needed for this conversion (OC = OA / (OA/OC) ), as described in the previous question. Thus in some cases we report both OA and OC.

Does the AMS report organic nitrates?

• The nitrate reported by the AMS is the sum of inorganic and organic nitrates, and the fraction of both types of nitrates depends strongly on location and time. The concentration of organic nitrates can be estimated from the ratio of the NO2+/NO+ ions in the AMS as described by e.g. Fry et al. (ACP 2013). In some cases the presence of sea salt and mineral nitrates, or of nitrites, may interfere with the organic nitrate estimation procedure. As of May 2016 this is an area of research, and it is the AMS Users' responsibility to use additional information from their experiments to support their results, as well as stating the resulting uncertainties accurately.

Can the AMS measure the N/C of ambient organic aerosol?

• This can only be done with the W-mode of the HR-ToF-AMS or with the LToF-AMS, as the other instruments / modes do not have enough resolution to separate these ions, and their signals are low for ambient aerosols (see Aiken et al. ES&T 2008)). Even with W-mode data, this is quite difficult to do and requires very good instrument tuning and utmost care in the high-resolution fitting and data analysis. An analysis may produce good O/C and H/C ratios but bad N/C ratios, as O and H are much more abundant and not sensitive to fitting errors to the same degree as N-containing fragments are.

• For lab or chamber experiments, fog water, etc. in which the N/C is much higher than for ambient aerosols, this problem may not be as important.

• The N/C measured by the standard elemental analysis procedure needs to be supplemented by the N present as organonitrates, as described e.g. in Fry et al. (ACP 2013). If organic nitrates are not estimated directly, this would lead to an underestimation on the bulk N/C of OA. E.g. Docherty et al., ACPD 2011 estimate that the N/C of OA in Riverside, California was underestimated by a factor of 2, due to the presence of organic nitrates.

Can the AMS measure the S/C of ambient organic aerosol?

• The AMS does detect some organic ions that contain S and thus an S/C atomic ratio can be calculated. This is thought to be accurate for species with C-S bonds like sulfonic acids, but to be a large underestimate for organosulfates (C-O-S bonding) due to the decomposition of those species into fragments that are normally lumped into the "sulfate" AMS species (see Farmer et al., PNAS, 2010). Docherty et al., ACPD 2011 estimate that the S/C of OA in Riverside, California was underestimated by a factor of 25, due to the presence of organosulfates.

Detection Limits, Accuracy, and Precision FAQs

How are the detection limits estimated?

• Detection limits (DL) are typically estimated from measurements with the normal AMS modes while sampling through a total particle filter. Typical detection limits are given in Table 2 of DeCarlo et al. (Anal. Chem. 2006).

• Note that detection limits scale with the inverse of the square root of the averaging time. So if e.g. 10 min detection limits are provided, but you are interested in the 2 hr detection limits, those will be sqrt(10/120) ~ 0.29 x the 10-min detection limits.

• Drewnick et al. (Atmos. Meas. Tech., 2, 33–46, 2009) demonstrated a continuous method of estimating DLs from the variability in the background signals for different species. This is particularly useful where the time-series data has been collected before the instrument has had chance to reach equilibrium in terms of both chamber background and electronic stability. Typically these influences are most prevalent in airborne data, where the AMS is typically only spun-up a few hours before take-off. In addition, the influence of background ions is shown by Drewnick et al. to increase significantly when sampling large mass concentrations, and it according takes some time for these concentrations, and the associated rises in DLs, to fall back to their previous levels.

Do the detection limits change with the averaging time?

• Yes, detection limits change a lot with the averaging time used, and they are not meaningful unless the averaging time is also reported. From previous results, the DLs scale as the inverse sqrt of the averaging time.

• Continuous DL estimates can be derived with the method of Drewnick et al. (AMT 2009).

What are the accuracy and precision of AMS concentration measurements?

• The overall accuracy of an AMS mass concentration measurement for a given species is a convolution of many different uncertainties. However, many of these are statistically-independent and thus, when added in quadrature the larger errors dominate the overall uncertainty. A useful table summarising the principal sources of uncertainty is given in the supplementary information for Bahreini et al., JGR, 2009. The authors estimated mass concentration accuracies (2-sigma) of 38% for OA and 34% for inorganic species. For ground based studies the accuracy may be better.
  • Some AMS practitioners report accuracies of sometimes 5% or 10%. Except for specific laboratory studies where more factors may be tightly controlled or determined, those uncertainties are unrealistically small.

• Without the use of the capture vaporizer (CapVap) and/or a light-scattering module, the AMS mass accuracy is generally dominated by uncertainity in the particle collection efficiency due to particle bounce (E_b, see Huffman et al. AS&T 2005 for the definition). It is important to note the relationship and approach to the determination of E_b that is taken for any given AMS data set. Generally CE ~ 0.5 works well for most ambient particles, and deviations from that rule can be estimated from the composition of the aerosol (see Middlebrook et al., AS&T, 2012 for further details).

• The use of the CapVap is starting to generalize, and may significantly improve the accuracy of AMS measurements, by eliminating (or greatly reducing) the uncertainties due to CE. This will also allow more precise identification and quantification of other sources of uncertainty, or of instrument problems (of the AMS, or just as often of the instruments that the AMS is compared to) that are sometimes "disguised" as anomalous values of CE.

• The AMS mass concentration precision at low concentrations is the same as the detection limits. These have historically been defined by considering the variability in measurements during filter periods, and more recently using the continuous approach detailed by Drewnick et al. AMT 2009. Precision at higher concentrations (a few percent) is much better than the accuracy (several tens of percent).

Sizing FAQs

What is the diameter measured by the AMS?

• The AMS measures vacuum aerodynamic diameter (d_va, see DeCarlo et al. AS&T 2004), which is proportional to particle density, and decreases with increasing dynamic shape factor for non-spherical particles. Note that d_va is DIFFERENT from the traditional definition of aerodynamic diameter (d_a) which is proportional to the square root of the particle density and also has a different dependence on particle shape factor (see DeCarlo et al. 2004 for details).

Does the measured diameter change if the particles are dry or wet?

• This depends on the particle density. As shown in Appendix B of DeCarlo et al. (2004) for mixed organic/inorganic ambient particles with densities around 1.5 g cm-3, the effect of adding water on the particle d_va is surprisingly small. This is by chance, as the increase in particle diameter closely compensates the decrease in particle density. This also assumes that the particles stay spherical after drying.

• Also note that the particles lose a lot of water (of the order of 3/4 to all the water, depending on various details) when entering the AMS vacuum system, see e.g. Zelenyuk et al., 2006.

• For other situations, the theoretical formulations of DeCarlo et al. (2004) can be used to predict the changes of d_va due to water uptake or drying.

What is the size cut of AMS measurements?

• The transmission of particles through the AMS aerodynamic lens changes as a function of size, and is dependent both on the geometry of the critical orifice upstream of the lens, the lens in question, and the lens pressure.

• Transmission through the standard AMS lens into a collimated beam that reaches the vapouriser falls to zero at around 35 nm d_va going to smaller sizes (Zhang et al., ES&T 2004), although it depends on the particular instrument and lens pressure.

• At the large end, the decline in transmission is not as sharp, falling off at around a micron, depending on operating pressure. Hence the AMS is often referred to as an approximately PM1 instrument. Details on the aerodynamic lens and/or transmission curves can be found in Jayne et al., AS&T 2000; Zhang et al., AS&T 2004; Liu et al., AS&T 2007; Takegawa et al., AS&T 2008; and Bahreini et al. AS&T 2008. There is some variation between specific aerodynamic lenses in different instruments as evidenced by comparing those papers.

• Note that the size cut of the AMS (vs. d_va) is similar to that of typical PM1 cyclones (vs d_ta).

• See an approximate transmission curve for model purposes below.

• If a particular AMS is operated at too low lens pressure the transmission of larger particles can be seriously degraded (see Zhang et al. AS&T 2004 and Bahreini et al. AS&T 2008). Another reason for lower than normal transmission is poor alignment of the aerodynamic lens, which has been a problem for some groups and campaigns.

What size range should be used to compare models or other measurements to the AMS?

• An approximate transmission curve to be implemented in a model, would involve first converting the model distributions to d_va (typically assuming internal mixing). This requires determining the average density at each particle size, using equation 4 in DeCarlo et al. AS&T 2004). The densities to use for the chemical components in the model should be SO4 = 1.78 g cm-3, NO3 = 1.72, NH4 = 1.75 (approximate, from CRC Handbook of Chemistry and Physics), OA = 1.25 (Cross et al. (2007); Zelenyuk et al. (2011)) (assumes typical fractions of OOA and HOA, but it could be lower for POA-dominated locations and slightly larger for locations with high SOA fractions or very aged OA, see Kuwata et al., 2012), BC = 1.77 (Park et al. (2004)), dust and metals ~ 2, sea salt = 2.2 (Lewis and Schwartz (2006)).

• Then the following approximate transmission curve should be used, which is an average of those in the studies above (as reported in Appendix B of Knote et al., 2011):
  • 0% transmission below 40 nm d_va
  • linear increase in transmission vs log(d_va), from 0% at d_va = 40 nm to 100% at d_va = 100 nm
  • 100% transmission from d_va = 100 nm up to d_va = 550 nm
  • linear decrease in transmission vs log(d_va), from 100% at 550 nm to 0% at d_va = 2 um

(If a specific measurement of the transmission efficiency of the AMS(s) used in that study is available, then that curve could be used instead. However the transmission curve is remarkably difficult to measure accurately, especially for inexperienced users, and it is easy to make large errors. So unless you have high confidence and have double-checked your measurements, you may be better off using the above curve).

• The following paragraph from Fast et al. (ACPD 2009) summarizes this issue well, although it would have been preferable to use the approximate transmission curve above:
  • "The size cut of the particles that can be measured by the AMS is reported to be 1 μm in vacuum aerodynamic diameter (PM1 in d_va) (e.g. Canagaratna et al., 2007). This size cut corresponds to slightly smaller particles than the 1 μm cut in transition-regime aerodynamic diameter (d_ta) that is typically used to define PM₁ ambient measurements using cyclone or impactor inlets operated at ambient pressure, with the exact correspondence being dependent on ambient pressure and on particle density and shape and thus composition (DeCarlo et al., 2004). For example, for the average density of 1.4 g cm⁻³ calculated from the chemical composition measurements at T0 or CENICA [in Mexico City] (Aiken et al., 2008a; Salcedo et al., 2006) and the pressure of Mexico City, a PM₁ cut in d_va corresponds to a PM_0.9 cut in d_ta. There can be some variation in individual aerodynamic lenses as well, which in some cases lead to smaller size cuts (Liu et al.,2007). The PM₁ cut in d_va corresponds to 0.7 μm physical diameter [for spherical particles] under the average conditions in Mexico City. Therefore, only predicted organic aerosols from the four size bins [in the model] below 0.7 μm were used to compare with the AMS measurements."

Density FAQs

Can I estimate the density from the AMS composition measurements?

• Yes. This requires a few assumptions:
  • The particles are internally mixed (at all sizes if calculating a bulk density, or at each size if calculating size-resolved density)
  • Refractory species either represent a small fraction of the mass, or their concentrations have also been measured by other methods.
  • The volume of the different species is additive. This is typically a good approximation.

• Under those assumptions, you can estimate the material density of the particles by using Equation 4 of DeCarlo et al., 2004 or the (perhaps clearer) Equation 2 in Salcedo et al. 2006
• The densities of individual species are needed to do the calculation. For these we recommend 1.78 for ammonium sulfate (CRC handbook), 1.72 for ammonium nitrate (CRC handbook), 1.52 for ammonium chloride (CRC handbook), 1.0 for primary combustion organics, 1.77 for black carbon (Park et al. 2004), and ~2.0 for mineral dust and metals. For SOA-dominated organics the density depends on O/C (see below) and a typical value is 1.4.
• When high-resolution and elemental analysis of OA are available, or by estimating O/C from f44 (per Aiken et al., 2008), the density of OA can be estimated from its composition according to the procedure in Kuwata et al., 2012
• This calculation can be made in a size-resolved manner, e.g. see Figures 4 and 8 in Zhang et al., 2005.

Can I estimate the effective density from combining SMPS and AMS measurements?

• Yes, and this has been done in many studies. See equation 37 and associated text in DeCarlo et al., 2004 for the details of the procedure.
• Do note that there are different definitions of "effective density" in the literature, which give different numerical values for the same particles. See Figure 6 of DeCarlo et al., 2004 and associated text for further details.