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Fangqun Yu

Researcher at University at Albany, SUNY

Publications -  190
Citations -  8775

Fangqun Yu is an academic researcher from University at Albany, SUNY. The author has contributed to research in topics: Nucleation & Aerosol. The author has an hindex of 44, co-authored 173 publications receiving 7387 citations. Previous affiliations of Fangqun Yu include Fudan University & University of California, Los Angeles.

Papers
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Radiative forcing of the direct aerosol effect from AeroCom Phase II simulations

TL;DR: In this paper, the authors report on the AeroCom Phase II direct aerosol effect (DAE) experiment where 16 detailed global aerosol models have been used to simulate the changes in the aerosol distribution over the industrial era.
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From molecular clusters to nanoparticles: Role of ambient ionization in tropospheric aerosol formation

TL;DR: In this paper, the role of background ionization, associated mainly with galactic cosmic radiation, in the generation and evolution of ultrafine particles in the marine boundary layer was investigated, from the initial buildup of molecular clusters (charged and uncharged) through their growth into stable nanoparticles.
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Ultrafine aerosol formation via ion‐mediated nucleation

TL;DR: In this paper, the role of background ionization in the generation and evolution of ultrafine atmospheric particles is developed through modeling and data analysis, and it is found that charged molecular clusters condensing around natural air ions can grow significantly faster than corresponding neutral clusters, and thus preferentially achieve stable, observable sizes.
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The AeroCom evaluation and intercomparison of organic aerosol in global models

Kostas Tsigaridis, +88 more
TL;DR: In this article, the current status of global modeling of the organic aerosol (OA) in the troposphere and analyzes the differences between models as well as between models and observations.
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Simulation of particle size distribution with a global aerosol model: contribution of nucleation to aerosol and CCN number concentrations

TL;DR: In this paper, an advanced particle microphysics model with a number of computationally efficient schemes has been incorporated into a global chemistry transport model (GEOS-Chem) to simulate particle number size distributions and cloud condensation nuclei (CCN) concentrations in the atmosphere.