Year: 2025
Type: article
Abstract: . The particle growth rate (GR) is a key parameter in aerosol dynamics and plays a crucial role in understanding atmospheric new particle formation and its effects. A fast, robust and reproducible calculation of GRs from aerosol number-size distribution data remains a challenge. In this study, we introduce a new method that we call the maximum correlation method for calculating particle and ion GRs from number-size distributions. We employed this novel method to calculate GRs from Hyytiälä, Finland using 14 years of ion and total particle size distribution data and compared our results against previous studies that used conventional methods for calculating the GRs. We found that our method compares well against the published data and reproduces the seasonal variability and size-dependent trends in the GRs. The maximum correlation method enables fast and repeatable GR calculations from large aerosol datasets, which facilitates the systematic incorporation of GR analysis into new particle formation studies.
Source: Aerosol Research
Institutions: University of Helsinki, Finnish Meteorological Institute
Language: English
Subfield: Atmospheric Science
Field: Earth and Planetary Sciences
Domain: Physical Sciences
Open Access status: diamond
Awards: The role of multiphase emissions and new particle formation on haze and cloud condensation nuclei in India, Atmospheric Gas-to-Particle conversion, G3236116557, Atmosphere and Climate Competence Center (ACCC), G8463653689, Non-CO2 Forcers and their Climate, Weather, Air Quality and Health Impacts
OpenAlex ID: W4417424642