| Literature DB >> 28361985 |
Jérôme Kasparian1, Christel Hassler2,3, Bas Ibelings2,3, Nicolas Berti1, Sébastien Bigorre4, Violeta Djambazova2, Elena Gascon-Diez2, Grégory Giuliani2, Raphaël Houlmann1, Denis Kiselev1, Pierric de Laborie2, Anh-Dao Le2,3, Thibaud Magouroux1, Tristan Neri2, Daniel Palomino2,3, Stéfanie Pfändler2, Nicolas Ray2, Gustavo Sousa1, Davide Staedler1,5, Federico Tettamanti5, Jean-Pierre Wolf1, Martin Beniston1,2,3.
Abstract
The influence of aerosols on climate is highly dependent on the particle size distribution, concentration, and composition. In particular, the latter influences their ability to act as cloud condensation nuclei, whereby they impact cloud coverage and precipitation. Here, we simultaneously measured the concentration of aerosols from sea spray over the North Atlantic on board the exhaust-free solar-powered vessel "PlanetSolar", and the sea surface physico-chemical parameters. We identified organic-bearing particles based on individual particle fluorescence spectra. Organic-bearing aerosols display specific spatio-temporal distributions as compared to total aerosols. We propose an empirical parameterization of the organic-bearing particle concentration, with a dependence on water salinity and sea-surface temperature only. We also show that a very rich mixture of organic aerosols is emitted from the sea surface. Such data will certainly contribute to providing further insight into the influence of aerosols on cloud formation, and be used as input for the improved modeling of aerosols and their role in global climate processes.Entities:
Year: 2017 PMID: 28361985 PMCID: PMC5374472 DOI: 10.1038/srep45476
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1Concentration and size distribution of Sea Spray Aerosols.
(a) Total particle concentration (>1 μm diameter) and SST (background map, data from AQUA MODIS26) between Boston and the open ocean east of St John’s, Newfoundland. Map created with QGIS 2.1227 (b). Evolution of the size distribution of the detected aerosols as a function of the distance travelled by the ship. (c) Cruise-averaged aerosol particle size distribution.
Figure 2Influence of wind on particle abundance.
Hourly-averaged particle concentration in the 1–2.5 μm size range. Data are compared with the empirical wind cap model of Gong et al.31 applied to the real wind measurements. The boxplots depict the magnitude of the fluctuations induced by the consideration of the Jaegle temperature correction8 (See text for details).
Figure 3Organic aerosols.
(a) Fluorescent particles as a fraction of the total of the single-particle counts by the fluorescence spectrometer compared to satellite-measured Chlorophyll a (background map, data from AQUA MODIS26), between Boston and St John’s. Map created with QGIS 2.1227. (b–d) Influence of (b) surface water temperature and salinity, (c) Chl a, and (d) the mass fraction of particles below 1 μm, on the relative abundance of fluorescent particles. Data represent hourly averages for each parameter during our expedition. R, p, and N denote Pearson’s correlation coefficient, p value and number of samples used for calculating the correlation, respectively. The dotted lines in (c) and (d) display the linear fits yielding the correlation coefficients displayed on the graphs.
Figure 4Empirical models for the fraction of organic aerosols.
(A) Model including salinity (Equation (3)). (B) Model restricted to satellite-accessible parameters (Equation (4)).
Figure 5Organic particle speciation.
Fluorescence spectra of the main self-identified particle clusters, ordered by decreasing abundances.