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Chao Yan

Researcher at University of Helsinki

Publications -  150
Citations -  5612

Chao Yan is an academic researcher from University of Helsinki. The author has contributed to research in topics: Aerosol & Chemistry. The author has an hindex of 31, co-authored 107 publications receiving 3322 citations. Previous affiliations of Chao Yan include Carnegie Mellon University & Helsinki Institute of Physics.

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Exploring condensable organic vapors and their co-occurrence with PM2.5 and O3 in winter over Eastern China

TL;DR: Oxygenated organic molecules (OOMs) are important oxidation products of volatile organic compounds (VOCs) and act as key condensable vapors for new particle formation (NPF) and secondary organic aerosol (SOA) in this article .
Posted ContentDOI

Opinion: The strength of long-term comprehensive observations to meet multiple grand challenges at different environments and in the atmosphere

TL;DR: In this article , the authors describe the SMEAR (Station for Measuring Earth surface - Atmosphere Relations) concept and demonstrate its power via several examples, such as detection of new particle formation and their subsequent growth, quantifying atmosphere-ecosystem feedback loops, combining comprehensive observations with emergency science and services, as well as studying the effect of COVID restrictions on different air quality and climate variables.

Characteristics of Negative Cluster Ions in an Urban Environment

TL;DR: In this article , the authors measured negative cluster ion compositions using an atmospheric pressure interface high-resolution time- 22 of-flight mass spectrometer in urban Beijing and demonstrated the feasibility of quantifying cluster ion composition with 23 simultaneous in-situ measurements by a neutral cluster and air ion spectrometers.
Journal ArticleDOI

Drivers of High Concentrations of Secondary Organic Aerosols in Northern China during the COVID-19 Lockdowns.

TL;DR: Li et al. as discussed by the authors integrated the two-dimensional volatility basis set into a state-of-the-art chemical transport model, which unprecedentedly reproduces organic aerosol (OA) components resolved by the positive matrix factorization based on aerosol mass spectrometer observations.