Automated identification of local contamination in remote atmospheric composition time series

Beck, Ivo; Angot, Hélène; Baccarini, Andrea; Dada, Lubna; Quéléver, Lauriane L. J.; Jokinen, Tuija; Laurila, Tiia; Lampimäki, Markus; Bukowiecki, Nicolas; Boyer, Matthew; Gong, Xianda; Gysel, M.; Petäj̈ä, Tuukka; Wang, Jian; Schmale, Julia

doi:10.5194/amt-15-4195-2022

Cited by 28 publications

(38 citation statements)

References 57 publications

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“…For the detection and exclusion of periods contaminated by ship emissions, an automated detection algorithm was applied based on the method developed by Beck et al 78 .…”

Section: Measurement Of Black Carbon (Bcmentioning

confidence: 99%

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A central arctic extreme aerosol event triggered by a warm air-mass intrusion

et al. 2022

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Frequency and intensity of warm and moist air-mass intrusions into the Arctic have increased over the past decades and have been related to sea ice melt. During our year-long expedition in the remote central Arctic Ocean, a record-breaking increase in temperature, moisture and downwelling-longwave radiation was observed in mid-April 2020, during an air-mass intrusion carrying air pollutants from northern Eurasia. The two-day intrusion, caused drastic changes in the aerosol size distribution, chemical composition and particle hygroscopicity. Here we show how the intrusion transformed the Arctic from a remote low-particle environment to an area comparable to a central-European urban setting. Additionally, the intrusion resulted in an explosive increase in cloud condensation nuclei, which can have direct effects on Arctic clouds’ radiation, their precipitation patterns, and their lifetime. Thus, unless prompt actions to significantly reduce emissions in the source regions are taken, such intrusion events are expected to continue to affect the Arctic climate.

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“…For the detection and exclusion of periods contaminated by ship emissions, an automated detection algorithm was applied based on the method developed by Beck et al 78 .…”

Section: Measurement Of Black Carbon (Bcmentioning

confidence: 99%

“…Weekly zero tests with HEPA filters were performed. For the detection and exclusion of periods contaminated by ship emissions, an automated detection algorithm was applied 78 .…”

Section: Measurement Of Black Carbon (Bcmentioning

confidence: 99%

A central arctic extreme aerosol event triggered by a warm air-mass intrusion

et al. 2022

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“…3 in Shupe et al, 2022). The aethalometer sampled behind an automated valve, which switched hourly between a whole air inlet and an interstitial inlet with an upper cut-off size of 1 μm (Beck et al, 2022). The inlet flow was set to 2 lpm and was verified biweekly.…”

Section: Black Carbonmentioning

confidence: 99%

“…One of the challenges associated with ship-based campaigns is contamination of the ambient sample by emissions from the ship stack or other local pollution sources (Beck et al, 2022). A pollution detection algorithm was applied to the CPCF particle concentration data, which was collocated in the ARM AOS container, to identify and remove pollution.…”

Section: Pollution Maskingmentioning

confidence: 99%

“…A pollution detection algorithm was applied to the CPCF particle concentration data, which was collocated in the ARM AOS container, to identify and remove pollution. The details of the pollution detection algorithm are discussed in Beck et al (2022). As input parameters for the pollution detection algorithm, threshold parameters of m=0.64 and a=0.5 were used for the derivative filter, and a median time of 60 minutes was used with an interquartile range threshold of 1.3 (see Beck et al (2022) for details on the parameters).…”

Section: Pollution Maskingmentioning

confidence: 99%

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A full year of aerosol size distribution data from the central Arctic under an extreme positive Arctic Oscillation: Insights from the MOSAiC expedition

Boyer

Aliaga

Pernov

et al. 2022

Preprint

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Abstract. The Arctic environment is rapidly changing due to accelerated warming in the region. The warming trend is driving a decline in sea ice extent, which thereby enhances feedback loops in the surface energy budget in the Arctic. Arctic aerosols play an important role in the radiative balance, and hence the climate response, in the region; yet direct observations of aerosols over the Arctic Ocean are limited. In this study, we investigate the annual cycle in the aerosol particle number size distribution (PNSD), particle number concentration (PNC), and black carbon (BC) mass concentration in the central Arctic during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition. This is the first continuous, year-long dataset of aerosol PNSD ever collected over the sea ice in the central Arctic Ocean. We use a k-means cluster analysis, FLEXPART simulations, and inverse modeling to evaluate seasonal patterns and the influence of different source regions on the Arctic aerosol population. Furthermore, we compare the aerosol observations to land-based sites across the Arctic, using both long-term measurements and observations during the year of the MOSAiC expedition (2019–2020), to investigate interannual variability and to give context to the aerosol characteristics from within the central Arctic. Our analysis identifies that, overall, the central Arctic exhibits typical seasonal patterns of aerosols, including anthropogenic influence from Arctic Haze in winter and secondary aerosol processes in summer. The seasonal pattern corresponds with the global radiation, surface air temperature, and the timing of sea ice melting/freezing, which drives changes in transport patterns and secondary aerosol processes. In winter, the Norilsk region in Russia/Siberia was the dominant source of Arctic Haze signal in the PNSD and BC observations, which contributed to higher accumulation mode PNC and BC mass concentration in the central Arctic than at land-based observatories. We also show that the wintertime Arctic Oscillation (AO) phenomenon, which was reported to achieve a record-breaking positive phase during January–March 2020, explains the unusual timing and magnitude of Arctic Haze across the Arctic region compared to longer-term observations. In summer, the PNC of nucleation and Aitken mode aerosol is enhanced, but concentrations were notably lower in the central Arctic over the ice pack than at land-based sites further south. The analysis presented herein provides a current snapshot of Arctic aerosol processes in an environment that is characterized by rapid changes, which will be crucial for improving climate model predictions, understanding linkages between different environmental processes, and investigating the impacts of climate change in future Arctic aerosol studies.

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General Introduction

Awojoyogbe,

Dada

2024

Series in BioEngineering

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Automated identification of local contamination in remote atmospheric composition time series

Cited by 28 publications

References 57 publications

A central arctic extreme aerosol event triggered by a warm air-mass intrusion

A central arctic extreme aerosol event triggered by a warm air-mass intrusion

A full year of aerosol size distribution data from the central Arctic under an extreme positive Arctic Oscillation: Insights from the MOSAiC expedition

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