the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Cloud condensation nuclei production associated with atmospheric nucleation: a synthesis based on existing literature and new results
V.-M. Kerminen
M. Paramonov
T. Anttila
I. Riipinen
C. Fountoukis
H. Korhonen
L. Laakso
H. Lihavainen
E. Swietlicki
B. Svenningsson
S. N. Pandis
M. Kulmala
T. Petäjä
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We present a novel version of an aerosol number size distribution instrument, showcasing its capability to measure particle number concentration and particle number size distribution between 1 and 12 nm. Our results show that the instrument agrees well with existing instrumentation and allows for both the accurate measurement of the smallest particles and overlap with more conventional aerosol number size distribution instruments.
cloud seeding). The particles, usually released from an aircraft, are expected to enhance cloud droplet growth, but its practical feasibility is somewhat uncertain. To improve upon this, we simulate the seeding effects with a numerical model. The model reproduces the main features seen in field observations, with a strong sensitivity to the total mass of the injected particle material.
variantsof the model using an implausibility metric. Despite many compensating effects in the model, the procedure constrains the probability distributions of many parameters, and direct radiative forcing uncertainty is reduced by 34 %.
chemical regimeof PM sensitivity to ammonia and nitric acid availability.
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Clouds over the Southern Ocean are crucial to Earth's energy balance, but understanding the factors that control them is complex. Our research examines how weather patterns affect tiny particles called cloud condensation nuclei (CCN), which influence cloud properties. Using data from Kennaook / Cape Grim, we found that winter air from Antarctica brings cleaner conditions with lower CCN, while summer patterns from Australia transport more particles. Precipitation also helps reduce CCN in winter.