The impact of aerosol size-dependent hygroscopicity and mixing state on the cloud condensation nuclei potential over the north-east Atlantic

We present an aerosol cloud condensation nuclei (CCN) closure study over the north-east Atlantic Ocean using six approximating methods. The CCN number concentrations (N-CCN) were measured at four discrete supersaturations (SSs; 0.25 %, 0.5 %, 0.75% and 1.0 %). Concurrently, aerosol number size distr...

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Bibliographic Details
Published in:Atmospheric Chemistry and Physics
Main Authors: Xu, Wei, Fossum, Kirsten N., Ovadnevaite, Jurgita, Lin, Chunshui, Huang, Ru-Jin, O'Dowd, Colin, Ceburnis, Darius
Format: Report
Language:English
Published: COPERNICUS GESELLSCHAFT MBH 2021
Subjects:
SINGLE-PARAMETER REPRESENTATION
BOREAL FOREST ENVIRONMENT
ATMOSPHERIC AEROSOL
CCN ACTIVITY
CHEMICAL-COMPOSITION
MACE HEAD
NUMBER CONCENTRATION
GROWTH
PARTICLES
CHEMISTRY
Environmental Sciences & Ecology
Meteorology & Atmospheric Sciences
Environmental Sciences
Mace
North East Atlantic
Online Access:http://ir.ieecas.cn/handle/361006/16770
https://doi.org/10.5194/acp-21-8655-2021
Description
Summary:We present an aerosol cloud condensation nuclei (CCN) closure study over the north-east Atlantic Ocean using six approximating methods. The CCN number concentrations (N-CCN) were measured at four discrete supersaturations (SSs; 0.25 %, 0.5 %, 0.75% and 1.0 %). Concurrently, aerosol number size distribution, sub-saturation hygroscopic growth factor and bulk PM1 chemical composition were obtained at matching time resolution and after a careful data validation exercise. Method A used a constant bulk hygroscopicity parameter kappa of 0.3; method B used bulk PM1 chemical composition measured by an aerosol mass spectrometer (AMS); method C utilised a single growth factor (GF) size (165 nm) measured by a humidified tandem differential mobility analyser (HTDMA); method D utilised size-dependent GFs measured at 35, 50, 75, 110 and 165 nm; method E divided the aerosol population into three hygroscopicity modes (near-hydrophobic, more-hygroscopic and sea-salt modes), and the total CCN number in each mode was cumulatively added up; method F used the full-size-scale GF probability density function (GF-PDF) in the most complex approach. The studied periods included high-biological-activity and low-biological-activity seasons in clean marine and polluted continental air masses to represent and discuss the most contrasting aerosol populations. Overall, a good agreement was found between estimated and measured NCCN with linear regression slopes ranging from 0.64 to 1.6. The temporal variability was captured very well, with Pearson's R value ranging from 0.76 to 0.98 depending on the method and air mass type. We further compared the results of using different methods to quantify the impact of size-dependent hygroscopicity and mixing state and found that ignoring size-dependent hygroscopicity induced overestimation of N-CCN by up to 12 %, and ignoring a mixing state induced overestimation of NCCN by up to 15 %. The error induced by assuming an internal mixing in highly polluted cases was largely eliminated by dividing the full ...

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