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  • 1
    Publication Date: 2020-01-20
    Electronic ISSN: 2045-2322
    Topics: Natural Sciences in General
    Published by Springer Nature
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  • 2
    Publication Date: 2024-02-07
    Description: The goal of the Sea2Cloud project is to study the interplay between surface ocean biogeochemical and physical properties, fluxes to the atmosphere, and ultimately their impact on cloud formation under minimal direct anthropogenic influence. Here we present an interdisciplinary approach, combining atmospheric physics and chemistry with marine biogeochemistry, during a voyage between 41 degrees and 47 degrees S in March 2020. In parallel to ambient measurements of atmospheric composition and seawater biogeochemical properties, we describe semicontrolled experiments to characterize nascent sea spray properties and nucleation from gas-phase biogenic emissions. The experimental framework for studying the impact of the predicted evolution of ozone concentration in the Southern Hemisphere is also detailed. After describing the experimental strategy, we present the oceanic and meteorological context including provisional results on atmospheric thermodynamics, composition, and flux measurements. In situ measurements and flux studies were carried out on different biological communities by sampling surface seawater from subantarctic, subtropical, and frontal water masses. Air-Sea-Interface Tanks (ASIT) were used to quantify biogenic emissions of trace gases under realistic environmental conditions, with nucleation observed in association with biogenic seawater emissions. Sea spray continuously generated produced sea spray fluxes of 34% of organic matter by mass, of which 4% particles had fluorescent properties, and which size distribution resembled the one found in clean sectors of the Southern Ocean. The goal of Sea2Cloud is to generate realistic parameterizations of emission flux dependences of trace gases and nucleation precursors, sea spray, cloud condensation nuclei, and ice nuclei using seawater biogeochemistry, for implementation in regional atmospheric models.
    Type: Article , PeerReviewed , info:eu-repo/semantics/article
    Format: text
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  • 3
    Publication Date: 2024-03-01
    Description: Future change in sea surface temperature may influence climate via various air-sea feedbacks and pathways. In this study, we investigate the influence of surface seawater biogeochemical composition on the temperature dependence of sea spray number emission fluxes. Dependence of sea spray fluxes was investigated in different water masses (i.e. subantarctic, subtropical and frontal bloom) with contrasting biogeochemical properties across a temperature range from ambient (13–18 °C) to 2 °C, using seawater circulating in a plunging jet sea spray generator. We observed sea spray total concentration to increase significantly at temperatures below 8 °C, with an average 4-fold increase at 2 °C relative to initial concentration at ambient temperatures. This temperature dependence was more pronounced for smaller size sea spray particles (i.e. nucleation and Aitken modes). Moreover, temperature dependence varied with water mass type and so biogeochemical properties. While the sea spray flux at moderate temperatures (8–11 °C) was highest in frontal bloom waters, the effect of low temperature on the sea spray flux was highest with subtropical seawaters. The temperature dependence of sea spray flux was also inversely proportional to the seawater cell abundance of the cyanobacterium Synechococcus, which facilitated parameterization of temperature dependence of sea spray emission fluxes as a function of Synechococcus for future implementation in modelling exercises.
    Type: Article , PeerReviewed , info:eu-repo/semantics/article
    Format: text
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  • 4
    Publication Date: 2024-02-19
    Description: Here we present physico-chemical data collected during two research cruises conducted to and across the Ross Sea, Antarctica in the summer of 2018 (February-March) and 2019 (January-February). The dataset includes measurements of temperature, salinity, oxygen, par and transmissivity obtained with a Sea-Bird Electronics (SBE) 911plus CTD. The CTD sensor was configured with SBE 3plus, SBE 4, and SBE 43 dual sensors for the parameters above, in addition to a seapoint fluorescence sensor, and a photosynthetically active radiation (PAR) sensor (Biospherical Instruments QCP‐2300L‐HP). These data were used to provide oceanographic context to DNA metabarcoding analysis of 18S rRNA V4 region that was carried out on DNA samples collected in parallel to nutrient and chlorophyll-a samples. Fastq samples from DNA metabarcoding analysis and the associated metadata (including nutrients, Chlorophyll-a, and size-fractionated chlorophyll-a) were deposited to GenBank under project numbers PRJNA756172 (2018 cruise) and PRJNA974160 (2019 cruise). The study resulting from this analysis has been submitted to Limnology and Oceanography.
    Keywords: 61TG20180205; 8911; Antarctica; Attenuation, optical beam transmission; CTD, Sea-Bird, SBE 911plus; CTD, Sea-Bird, SBE 911plus; measured with conductivity sensor, SEA-BIRD SBE 4; CTD, Sea-Bird, SBE 911plus; measured with Dissolved oxygen sensor, Sea-Bird, SBE 43; CTD, Sea-Bird, SBE 911plus; measured with PAR sensor, Biospherical Instruments Inc., QCP‐2300L‐HP; CTD, Sea-Bird, SBE 911plus; measured with temperature sensor, SEA-BIRD SBE 3Plus; DATE/TIME; DEPTH, water; diatoms; Dinoflagellates; ELEVATION; Event label; Fluorescence; LATITUDE; LONGITUDE; Name; Oxygen; Phaeocystis antarctica; Phytoplankton; Radiation, photosynthetically active; Ross Sea; Salinity; Sample method; seasonality; Station label; TAN1802_U8911; TAN1802_U8912; TAN1802_U8913; TAN1802_U8914; TAN1802_U8915; TAN1802_U8916; TAN1802_U8917; TAN1802_U8918; TAN1802_U8919; TAN1802_U8920; TAN1802_U8921; TAN1802_U8922; TAN1802_U8923; TAN1802_U8924; TAN1802_U8925; TAN1802_U8926; TAN1802_U8927; TAN1802_U8928; TAN1802_U8929; TAN1802_U8930; TAN1802_U8931; TAN1802_U8932; TAN1802_U8933; TAN1802_U8934; TAN1802_U8935; TAN1802_U8936; TAN1802_U8937; TAN1802_U8938; TAN1802_U8939; TAN1802_U8940; TAN1802_U8941; TAN1802_U8942; TAN1802_U8943; TAN1802_U8944; TAN1802_U8945; TAN1802_U8946; TAN1802_U8947; TAN1802_U8948; TAN1802_U8949; TAN1802_U8950; TAN1802_U8951; TAN1802_U8952; TAN1802_U8953; TAN1802_U8954; TAN1802_U8955; TAN1802_U8956; TAN1802, TAN1802_CTD; TAN1901; TAN1901_U9201; TAN1901_U9202; TAN1901_U9203; TAN1901_U9204; TAN1901_U9205; TAN1901_U9206; TAN1901_U9207; TAN1901_U9208; TAN1901_U9209; TAN1901_U9210; TAN1901_U9211; TAN1901_U9212; TAN1901_U9213; TAN1901_U9214; TAN1901_U9215; TAN1901_U9216; TAN1901_U9217; TAN1901_U9218; TAN1901_U9219; TAN1901_U9220; TAN1901_U9221; TAN1901_U9222; TAN1901_U9223; TAN1901_U9224; TAN1901_U9225; TAN1901_U9226; TAN1901_U9227; TAN1901_U9228; TAN1901_U9229; TAN1901_U9230; TAN1901_U9231; TAN1901_U9232; TAN1901_U9233; TAN1901CTD; Tangaroa; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 488789 data points
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