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The composition and properties of atmospheric organic aerosols (OAs) changeon timescales of minutes to hours. However, some important OAcharacterization techniques typically require greater than a few hours ofsample-collection time (e.g., Fourier transform infrared (FTIR) spectroscopy).In this study we have performed numerical modeling to investigate and comparesample-collection strategies and post-processing methods for increasing thetime resolution of OA measurements requiring long sample-collection times.Specifically, we modeled the measurement of hydrocarbon-like OA (HOA) andoxygenated OA (OOA) concentrations at a polluted urban site in Mexico City,and investigated how to construct hourly resolved time series from samplescollected for 4, 6, and 8 h. We modeled two sampling strategies –sequential and staggered sampling – and a range of post-processing methodsincluding interpolation and deconvolution. The results indicated thatrelative to the more sophisticated and costly staggered sampling methods,linear interpolation between sequential measurements is a surprisinglyeffective method for increasing time resolution. Additional error can beadded to a time series constructed in this manner if a suboptimal sequentialsampling schedule is chosen. Staggering measurements is one way to avoid thiseffect. There is little to be gained from deconvolving staggeredmeasurements, except at very low values of random measurement error (< 5 %).Assuming 20 % random measurement error, one can expect average recoveryerrors of 1.33–2.81 µg m−3 when using 4–8 h-long sequentialand staggered samples to measure time series of concentration values rangingfrom 0.13–29.16 µg m−3. For 4 h samples, 19–47 % of thistotal error can be attributed to the process of increasing time resolutionalone, depending on the method used, meaning that measurement precision wouldonly be improved by 0.30–0.75 µg m−3 if samples could becollected over 1 h instead of 4 h. Devising a suitable samplingstrategy and post-processing method is a good approach for increasing thetime resolution of measurements requiring long sample-collection times

atmospheric measurement techniques

Sampling strategies and post-processing methods for increasing the time resolution of organic aerosol measurements requiring long sample-collection times