Parameterization of particle formation rates in distinct atmospheric environments

作者：Xinyang Li, Tuomo Nieminen, Rima Baalbaki, Putian Zhou, Pauli Paasonen, Risto Makkonen, Martha Arbayani Zaidan, Nina Sarnela, Chao Yan, Tuija Jokinen, Imre Salma, Máté Vörösmarty, Tuukka Petäjä, Veli‐Matti Kerminen, Markku Kulmala, Lubna Dada · 年份：2025 · DOI：10.5194/ar-2025-3 · 被引用次数：1 · 研究领域：Atmospheric chemistry and aerosols、Atmospheric aerosols and clouds、Air Quality and Health Impacts

Abstract. Atmospheric particle formation rate (J) is one of the key characteristics in new particle formation (NPF) processes worldwide. It is related to the development of ultrafine particle growth to cloud condensation nuclei (CCN) and, hence, to Earth radiative forcing in global models, which helps us to better understand the impact of NPF on cloud properties and climate change. In this work, we parameterized four semi-empirical J models for 5 nm atmospheric particles using field measurements obtained from distinct environments that varied from clean to heavily polluted regions and from tropical to polar regions. The models rely primarily on sulfuric acid as a condensing vapor, condensation sink to account for the vapor loss, and relative humidity for meteorological contribution to J. The parameterization results showed that our models were able to produce plausible predictions for boreal forest environments, heavily polluted environments, and biogenic environments with high relative humidity. We further tested the models in the global simulation module Tracer Model 5 (TM5, massive parallel version) to simulate particle number size distribution across 14 global atmospheric measurement sites. The simulated results showed satisfactory predictions on particle number concentrations for all the tested environments, with significant improvement in the nucleation mode, and better prediction accuracy for Aitken and accumulation modes compared to the binary sulfuric acid-organic va...