Multi-seasonal ultrafine aerosol particle number concentration measurements at the Gruvebadet observatory, Ny-Ålesund, Svalbard Islands

Lupi, Angelo; Busetto, Maurizio; Becagli, Silvia; Giardi, Fabio; Lanconelli, Christian; Mazzola, Mauro; Udisti, Roberto; Hansson, Hans Christen; Henning, Tabea; Petkov, Boyan; Ström, Johan; Krejci, Radovan; Tunved, Peter; Viola, Angelo; Vitale, Vito

doi:10.1007/s12210-016-0532-8

Cited by 21 publications

(24 citation statements)

References 21 publications

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“…Two discrete systems of scanning mobility particle sizer (SMPS) systems, each of which included a differential mobility analyzer (DMA) and a condensation particle counter (CPC), continuously measured the distribution of small particles in differential mobility equivalent diameter ranges 3-60 nm (combination of TSI 3085 and TSI 3776) and 10-500 nm (TSI 3034), and an aerodynamic particle sizer (APS) analyzed larger particles in the range 0.5-20 µm in diameter (Park et al, 2014a;Lupi et al, 2016).…”

Section: Experimental Methodsmentioning

confidence: 99%

Observational evidence for the formation of DMS-derived aerosols during Arctic phytoplankton blooms

et al. 2017

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Abstract. The connection between marine biogenic dimethyl sulfide (DMS) and the formation of aerosol particles in the Arctic atmosphere was evaluated by analyzing atmospheric DMS mixing ratio, aerosol particle size distribution and aerosol chemical composition data that were concurrently collected at Ny-Ålesund, Svalbard (78.5 • N, 11.8 • E), during April and May 2015. Measurements of aerosol sulfur (S) compounds showed distinct patterns during periods of Arctic haze (April) and phytoplankton blooms (May). Specifically, during the phytoplankton bloom period the contribution of DMS-derived SO 2− 4 to the total aerosol SO 2− 4 increased by 7-fold compared with that during the proceeding Arctic haze period, and accounted for up to 70 % of fine SO 2− 4 particles (< 2.5 µm in diameter). The results also showed that the formation of submicron SO 2− 4 aerosols was significantly associated with an increase in the atmospheric DMS mixing ratio. More importantly, two independent estimates of the formation of DMS-derived SO 2− 4 aerosols, calculated using the stable S-isotope ratio and the non-seasalt SO 2− 4 / methanesulfonic acid ratio, respectively, were in close agreement, providing compelling evidence that the contribution of biogenic DMS to the formation of aerosol particles was substantial during the Arctic phytoplankton bloom period.

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Section: Experimental Methodsmentioning

confidence: 99%

Observational evidence for the formation of DMS-derived aerosols during Arctic phytoplankton blooms

et al. 2017

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“…Each scan over the particle size range takes 10 min, and we used 1-hr averages in this study. A side-by-side comparison with the DMPS measurements at the Mount Zeppelin Observatory was made by deploying the SMPS at Zeppelin in the spring of 2013, and good agreement (within 14%) was found (Lupi et al, 2016). Figure 4 shows a scatter plot of the two aerosol measurement data sets obtained at the top (Zeppelin) and base (Gruvebadet) of the mountain using all of the 1-hr average data obtained between October 2013 and December 2015.…”

Section: Measurements Of the Aerosol Size Distributionmentioning

confidence: 98%

“…Each scan over the particle size range takes 10 min, and we used 1‐hr averages in this study. A side‐by‐side comparison with the DMPS measurements at the Mount Zeppelin Observatory was made by deploying the SMPS at Zeppelin in the spring of 2013, and good agreement (within 14%) was found (Lupi et al, ).…”

Section: Measurementsmentioning

confidence: 99%

Year‐Round In Situ Measurements of Arctic Low‐Level Clouds: Microphysical Properties and Their Relationships With Aerosols

et al. 2019

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Two years of continuous in situ measurements of Arctic low‐level clouds have been made at the Mount Zeppelin Observatory (78°56′N, 11°53′E), in Ny‐Ålesund, Spitsbergen. The monthly median value of the cloud particle number concentration (Nc) showed a clear seasonal variation: Its maximum appeared in May–July (65 ± 8 cm−3), and it remained low between October and March (8 ± 7 cm−3). At temperatures warmer than 0 °C, a clear correlation was found between the hourly Nc values and the number concentrations of aerosols with dry diameters larger than 70 nm (N70), which are proxies for cloud condensation nuclei (CCN). When clouds were detected at temperatures colder than 0 °C, some of the data followed the summertime Nc to N70 relationship, while other data showed systematically lower Nc values. The lidar‐derived depolarization ratios suggested that the former (CCN‐controlled) and latter (CCN‐uncontrolled) data generally corresponded to clouds consisting of supercooled water droplets and those containing ice particles, respectively. The CCN‐controlled data persistently appeared throughout the year at Zeppelin. The aerosol‐cloud interaction index (ACI = dlnNc/(3dlnN70)) for the CCN‐controlled data showed high sensitivities to aerosols both in the summer (clean air) and winter–spring (Arctic haze) seasons (0.22 ± 0.03 and 0.25 ± 0.02, respectively). The air parcel model calculations generally reproduced these values. The threshold diameters of aerosol activation (Dact), which account for the Nc of the CCN‐controlled data, were as low as 30–50 nm when N70 was less than 30 cm−3, suggesting that new particle formation can affect Arctic cloud microphysics.

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“…The GAL is equipped with various aerosol sampling equipment [22,24] and in particular a scanning mobility particle sizer (SMPS) model TSI 3034 and an aerodynamic particle sizer (APS) model TSI 3321 (TSI incorporated, MN, USA). The 54 channel SMPS detects nanometric particles with electrical mobility diameter between 10 and 487 nm, while the 52 channels APS detects micrometric particles with an aerodynamic equivalent diameter between 523 nm and 20.54 µm [24,25]. The two instruments are connected to a common inlet following the European Supersites for Atmospheric Aerosol Research-European Research Infrastructure for the observation of Aerosol, Clouds and Trace Gases (EUSAAR-ACTRIS) protocol and measure aerosol size distribution [25].…”

Section: Reference Sensors At the Cct And Galmentioning

confidence: 99%

“…The 54 channel SMPS detects nanometric particles with electrical mobility diameter between 10 and 487 nm, while the 52 channels APS detects micrometric particles with an aerodynamic equivalent diameter between 523 nm and 20.54 µm [24,25]. The two instruments are connected to a common inlet following the European Supersites for Atmospheric Aerosol Research-European Research Infrastructure for the observation of Aerosol, Clouds and Trace Gases (EUSAAR-ACTRIS) protocol and measure aerosol size distribution [25]. PM 10 aerosol was also collected by a TECORA Skypost inertial sampler on 47 mm diameter polytetrafluoroethylene (PTFE) filters at daily resolution.…”

Section: Reference Sensors At the Cct And Galmentioning

confidence: 99%

Long-Term Performance Assessment of Low-Cost Atmospheric Sensors in the Arctic Environment

Carotenuto

Brilli

Gioli

et al. 2020

Sensors

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The Arctic is an important natural laboratory that is extremely sensitive to climatic changes and its monitoring is, therefore, of great importance. Due to the environmental extremes it is often hard to deploy sensors and observations are limited to a few sparse observation points limiting the spatial and temporal coverage of the Arctic measurement. Given these constraints the possibility of deploying a rugged network of low-cost sensors remains an interesting and convenient option. The present work validates for the first time a low-cost sensor array (AIRQino) for monitoring basic meteorological parameters and atmospheric composition in the Arctic (air temperature, relative humidity, particulate matter, and CO2). AIRQino was deployed for one year in the Svalbard archipelago and its outputs compared with reference sensors. Results show good agreement with the reference meteorological parameters (air temperature (T) and relative humidity (RH)) with correlation coefficients above 0.8 and small absolute errors (≈1 °C for temperature and ≈6% for RH). Particulate matter (PM) low-cost sensors show a good linearity (r2 ≈ 0.8) and small absolute errors for both PM2.5 and PM10 (≈1 µg m−3 for PM2.5 and ≈3 µg m−3 for PM10), while overall accuracy is impacted both by the unknown composition of the local aerosol, and by high humidity conditions likely generating hygroscopic effects. CO2 exhibits a satisfying agreement with r2 around 0.70 and an absolute error of ≈23 mg m−3. Overall these results, coupled with an excellent data coverage and scarce need of maintenance make the AIRQino or similar devices integrations an interesting tool for future extended sensor networks also in the Arctic environment.

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Multi-seasonal ultrafine aerosol particle number concentration measurements at the Gruvebadet observatory, Ny-Ålesund, Svalbard Islands

Cited by 21 publications

References 21 publications

Observational evidence for the formation of DMS-derived aerosols during Arctic phytoplankton blooms

Observational evidence for the formation of DMS-derived aerosols during Arctic phytoplankton blooms

Year‐Round In Situ Measurements of Arctic Low‐Level Clouds: Microphysical Properties and Their Relationships With Aerosols

Long-Term Performance Assessment of Low-Cost Atmospheric Sensors in the Arctic Environment

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