AC on RC3 DOI Creative Commons

Lisa Schneider

Published: Dec. 20, 2024

Abstract. To understand and predict the formation of clouds rain their influence on our climate, it is crucial to know characteristics abundance ice-nucleating particles (INPs) in atmosphere. As efficiency a result individual particle properties, detailed knowledge these properties essential. Here, we present an offline method for comprehensive analysis ambient INPs that benefits from combination two instruments already used ice nucleation measurements. First, aerosol sampled silicon wafers. are then activated at different temperature humidity conditions deposition condensation freezing mode using static diffusion chamber. Activated located coordinate system, which allows recovery causing scanning electron microscope. size, chemistry morphology identified. Finally, classified into categories based measured properties. result, size resolved spectrum INP classes can be determined. The performance this coupling investigated case study samples high-altitude field side Jungfraujoch (JFJ), Switzerland. 200 14 obtained during 5-week period were classified. Most / Jungfraujoch, −30 °C, irregular shape had projected area diameters range 300 nm 35 µm, with distinct maximum 1–2 µm. A major contribution mineral particles, mainly aluminosilicates Al-rich but also carbonates silica, was identified entire −30°C. Further contributions carbon-rich consisting both smaller soot larger biological particles. Mixed here mostly rich Al C, higher abundances primarily between 3 µm 9 Minor seen sulfates metal oxides, latter ones found increased proportion below 500 nm. Such results useful evaluating type-specific parametrizations, e.g., use atmospheric modeling, closure studies.

Language: Английский

Field intercomparison of ice nucleation measurements: the Fifth International Workshop on Ice Nucleation Phase 3 (FIN-03) DOI Creative Commons
Paul J. DeMott, Jessica A. Mirrielees, Sarah S. Petters

et al.

Atmospheric measurement techniques, Journal Year: 2025, Volume and Issue: 18(3), P. 639 - 672

Published: Feb. 6, 2025

Abstract. The third phase of the Fifth International Ice Nucleation Workshop (FIN-03) was conducted at Storm Peak Laboratory in Steamboat Springs, Colorado, September 2015 to facilitate intercomparison instruments measuring ice-nucleating particles (INPs) field. Instruments included two online and four offline measurement systems for INPs, which are a subset those utilized laboratory study that comprised second FIN (FIN-02). composition total aerosols characterized using Particle Analysis by Laser Mass Spectrometry (PALMS) Wideband Integrated Bioaerosol Sensor (WIBS) instruments, aerosol size distributions were measured laser spectrometer (LAS). dominant particle compositions present during FIN-03 composed sulfates, organic compounds, nitrates, as well derived from biomass burning. Mineral-dust-containing ubiquitous throughout represented 67 % supermicron particles. Total WIBS fluorescing concentrations with diameters > 0.5 µm 0.04 ± 0.02 cm−3 (0.1 highest; lowest), typical warm season this region representing ≈ 9 all range campaign average. primary focus INP via immersion freezing temperatures −33 °C. Additionally, some measurements made deposition nucleation regime these same temperatures, one first efforts include both mechanisms within field campaign. agreed factors ranging nearly 1 5 times on average between matched (time temperature) measurements, disagreements only rarely exceeded order magnitude sampling coordinated 3 h. Comparisons restricted lower than −15 °C due limits detection related sample volumes very low concentrations. Outliers up 2 orders occurred −25 −18 °C; better agreement seen higher temperatures. Although 5–10 factor found aligned results FIN-02 comparison phase, giving confidence progress field, level still equates temperature uncertainties 3.5 may not be sufficient numerical cloud modeling applications utilize information. activity immersion-freezing mode generally an or more, making it more efficient 95 %–99 water relative humidity, although limited data set should augmented future efforts. To contextualize results, assessment INPs late-summer early-fall period inferred through existing ice parameterizations influence thermal carbon digestion treatments activity. Consistent other studies continental regions, biological dominated −20 sometimes colder, while arable dust-like organic-influenced dominate below

Language: Английский

Citations

0
Seasonal variations in PM2.5 composition and their effects on CCN activation properties DOI

Yongwei Lu,

Yu‐Kun Chen, Xin Wang

et al.

Atmospheric Environment, Journal Year: 2025, Volume and Issue: unknown, P. 121129 - 121129

Published: Feb. 1, 2025

Language: Английский

Citations

0
Unraveling Ice Nucleating Particle Concentration Variability: Insights Into Source Emissions Origin and Parameterizations DOI Creative Commons
Antoine Canzi, Evelyn Freney, Pierre Grzegorczyk

et al.

Journal of Geophysical Research Atmospheres, Journal Year: 2025, Volume and Issue: 130(8)

Published: April 18, 2025

Abstract Despite having very low atmospheric concentrations, ice‐nucleating particles (INPs) play an important role in the formation of ice crystals at temperatures warmer than −35°C and hence precipitation cycle. Moreover, they tend to have a high spatiotemporal variability. In order understand this variability, long‐term measurements with temporal resolution are essential. This paper presents analysis 3 months online INP (10 min time‐resolved), using PINE cloud chamber (−33°C ≤ T −22°C). Measurements were made from December 2022 March 2023 PUY station (France, 1,465 m a.s.l), site exposed variety air masses including free troposphere conditions. A large part variability concentrations (over four orders magnitude single temperature) can be explained by mass origin. measured for oceanic lower range (from ≈0.1 ≈10 L −1 ). Those continental medium ≈1 ≈100 ) depend on level pollution mass. southern show highest ≈500 mostly amount dust ambient air. conducted during two events revealing over 1000 −32°C. Subsequently, set parameterizations capable tracing developed. will facilitate our understanding impact mixed‐phase properties models.

Language: Английский

Citations

0
High ice-nucleating particle concentrations associated with Arctic haze in springtime cold-air outbreaks DOI Creative Commons
Erin N. Raif, Sarah Barr, Mark D. Tarn

et al.

Atmospheric chemistry and physics, Journal Year: 2024, Volume and Issue: 24(24), P. 14045 - 14072

Published: Dec. 17, 2024

Abstract. The global variation in ice-nucleating particle (INP) concentrations is an important modulator of the cloud-phase feedback, where albedo mixed-phase clouds increases a warming climate. Shallow clouds, such as those observed cold-air outbreaks (CAOs), are particularly for feedbacks and highly sensitive to INPs. To investigate sources INPs CAOs, we made airborne measurements over Norwegian Barents seas part March 2022 Arctic Cold-Air Outbreak (ACAO) field campaign. Aerosol samples were collected on filters at locations above, below upstream CAO cloud decks. Throughout campaign, INP comparable highest previously Arctic. Scanning electron microscopy analysis taken decks showed that supermicron aerosol was dominated by mineral dusts. Analysis size obtain active site density suggested sea spray unlikely be dominant type. These densities also too great components alone type above −20 °C. Accordingly, it likely dust mixed with other materials, possibly biogenic origin. Back-trajectory meteorological conditions lack local sources. We therefore hypothesise high concentration most associated aged haze has undergone long-range transport from lower-latitude regions.

Language: Английский

Citations

2
Ice-nucleating particle concentration impacts cloud properties over Dronning Maud Land, East Antarctica, in COSMO-CLM2 DOI Creative Commons
Florian Sauerland, Niels Souverijns, Anna Possner

et al.

Atmospheric chemistry and physics, Journal Year: 2024, Volume and Issue: 24(23), P. 13751 - 13768

Published: Dec. 12, 2024

Abstract. Ice-nucleating particles (INPs) have an important function in the freezing of clouds but are rare East Antarctica. At Belgian Princess Elisabeth Antarctica station, immersion INP concentrations between 6×10-6 and 5×10-3 L−1 been observed with activation temperature −20 °C. These low offer a possible explanation for occurrence supercooled liquid water using station's micro rain radar ceilometer. We used model Consortium Small-scale Modeling (COSMO) climate mode (CLM) coupled to Community Land Model (COSMO-CLM2) added aerosol-cycle module test cloud phase's sensitivity response varying prescribed concentrations. tested two cases, one austral summer winter, analysed differences resulting from concentration changes area around station over Southern Ocean within selected domain. Our results show strong influence on path both regions, higher reducing amount water. Over Ocean, this effect is stronger during winter: summer, significant portion remains state regardless concentration. continent, summer: temperatures winter frequently fall below −37 °C, allowing homogeneous freezing. The largest increase fraction total hydrometeor mass simulated 9.8 % highest 50.3 lowest. radiative effects caused by small, less than 3 W m−2 difference averages different

Language: Английский

Citations

0
Studying Aerosol Hygroscopicity Using Environmental Electron Microscopy DOI
Evelyn Freney

Geophysical monograph, Journal Year: 2024, Volume and Issue: unknown, P. 253 - 260

Published: Dec. 13, 2024

Aerosol particles play an essential role in climate, air quality, and human health. It is therefore vital to understand their composition, morphology, size distribution how these properties influence reactivity the atmosphere. This chapter highlights valuable contributions of environmental scanning transmission electron microscopy (E-SEM/TEM) study aerosol atmosphere, with particular reference aerosol–cloud interactions. begins a brief overview detailing E-SEM/TEM has been instrumental examining interactions between atmospheric gases, particularly water vapor, overcoming limitations inherent conventional online methods. Challenges future prospects are discussed, recognizing potential for developing synergies other analytical tools. collaborative approach crucial answering key questions about interactions, leading way more complete understanding complex processes.

Language: Английский

Citations

0
AC on RC2 DOI Creative Commons

Lisa Schneider

Published: Dec. 20, 2024

Abstract. To understand and predict the formation of clouds rain their influence on our climate, it is crucial to know characteristics abundance ice-nucleating particles (INPs) in atmosphere. As efficiency a result individual particle properties, detailed knowledge these properties essential. Here, we present an offline method for comprehensive analysis ambient INPs that benefits from combination two instruments already used ice nucleation measurements. First, aerosol sampled silicon wafers. are then activated at different temperature humidity conditions deposition condensation freezing mode using static diffusion chamber. Activated located coordinate system, which allows recovery causing scanning electron microscope. size, chemistry morphology identified. Finally, classified into categories based measured properties. result, size resolved spectrum INP classes can be determined. The performance this coupling investigated case study samples high-altitude field side Jungfraujoch (JFJ), Switzerland. 200 14 obtained during 5-week period were classified. Most / Jungfraujoch, −30 °C, irregular shape had projected area diameters range 300 nm 35 µm, with distinct maximum 1–2 µm. A major contribution mineral particles, mainly aluminosilicates Al-rich but also carbonates silica, was identified entire −30°C. Further contributions carbon-rich consisting both smaller soot larger biological particles. Mixed here mostly rich Al C, higher abundances primarily between 3 µm 9 Minor seen sulfates metal oxides, latter ones found increased proportion below 500 nm. Such results useful evaluating type-specific parametrizations, e.g., use atmospheric modeling, closure studies.

Language: Английский

Citations

0
AC on RC1 DOI Creative Commons

Lisa Schneider

Published: Dec. 20, 2024

Abstract. To understand and predict the formation of clouds rain their influence on our climate, it is crucial to know characteristics abundance ice-nucleating particles (INPs) in atmosphere. As efficiency a result individual particle properties, detailed knowledge these properties essential. Here, we present an offline method for comprehensive analysis ambient INPs that benefits from combination two instruments already used ice nucleation measurements. First, aerosol sampled silicon wafers. are then activated at different temperature humidity conditions deposition condensation freezing mode using static diffusion chamber. Activated located coordinate system, which allows recovery causing scanning electron microscope. size, chemistry morphology identified. Finally, classified into categories based measured properties. result, size resolved spectrum INP classes can be determined. The performance this coupling investigated case study samples high-altitude field side Jungfraujoch (JFJ), Switzerland. 200 14 obtained during 5-week period were classified. Most / Jungfraujoch, −30 °C, irregular shape had projected area diameters range 300 nm 35 µm, with distinct maximum 1–2 µm. A major contribution mineral particles, mainly aluminosilicates Al-rich but also carbonates silica, was identified entire −30°C. Further contributions carbon-rich consisting both smaller soot larger biological particles. Mixed here mostly rich Al C, higher abundances primarily between 3 µm 9 Minor seen sulfates metal oxides, latter ones found increased proportion below 500 nm. Such results useful evaluating type-specific parametrizations, e.g., use atmospheric modeling, closure studies.

Language: Английский

Citations

0
AC on RC3 DOI Creative Commons

Lisa Schneider

Published: Dec. 20, 2024

Abstract. To understand and predict the formation of clouds rain their influence on our climate, it is crucial to know characteristics abundance ice-nucleating particles (INPs) in atmosphere. As efficiency a result individual particle properties, detailed knowledge these properties essential. Here, we present an offline method for comprehensive analysis ambient INPs that benefits from combination two instruments already used ice nucleation measurements. First, aerosol sampled silicon wafers. are then activated at different temperature humidity conditions deposition condensation freezing mode using static diffusion chamber. Activated located coordinate system, which allows recovery causing scanning electron microscope. size, chemistry morphology identified. Finally, classified into categories based measured properties. result, size resolved spectrum INP classes can be determined. The performance this coupling investigated case study samples high-altitude field side Jungfraujoch (JFJ), Switzerland. 200 14 obtained during 5-week period were classified. Most / Jungfraujoch, −30 °C, irregular shape had projected area diameters range 300 nm 35 µm, with distinct maximum 1–2 µm. A major contribution mineral particles, mainly aluminosilicates Al-rich but also carbonates silica, was identified entire −30°C. Further contributions carbon-rich consisting both smaller soot larger biological particles. Mixed here mostly rich Al C, higher abundances primarily between 3 µm 9 Minor seen sulfates metal oxides, latter ones found increased proportion below 500 nm. Such results useful evaluating type-specific parametrizations, e.g., use atmospheric modeling, closure studies.

Language: Английский

Citations

0