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    Southern Ocean cloud and aerosol data: a compilation of measurements from the 2018 Southern Ocean Ross Sea Marine Ecosystems and Environment voyage (2021)

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    Type of Content
    Journal Article
    UC Permalink
    https://hdl.handle.net/10092/102468
    
    Publisher's DOI/URI
    http://doi.org/10.5194/essd-13-3115-2021
    
    Publisher
    Copernicus GmbH
    ISSN
    1866-3516
    Language
    en
    Collections
    • Science: Journal Articles [1106]
    Authors
    Kremser S
    Harvey M
    Kuma P
    Hartery S
    Saint-Macary A
    McGregor J
    Schuddeboom A
    von Hobe M
    Lennartz ST
    Geddes A
    Querel R
    Peltola M
    Sellegri K
    Silber I
    Law CS
    Flynn CJ
    Marriner A
    Hill TCJ
    DeMott PJ
    Hume CC
    Plank G
    Graham G
    Parsons S
    McDonald, Adrian cc
    show all
    Abstract

    Due to its remote location and extreme weather conditions, atmospheric in situ measurements are rare in the Southern Ocean. As a result, aerosol–cloud interactions in this region are poorly understood and remain a major source of uncertainty in climate models. This, in turn, contributes substantially to persistent biases in climate model simulations such as the well-known positive shortwave radiation bias at the surface, as well as biases in numerical weather prediction models and reanalyses. It has been shown in previous studies that in situ and ground-based remote sensing measurements across the Southern Ocean are critical for complementing satellite data sets due to the importance of boundary layer and low-level cloud processes. These processes are poorly sampled by satellite-based measurements and are often obscured by multiple overlying cloud layers. Satellite measurements also do not constrain the aerosol–cloud processes very well with imprecise estimation of cloud condensation nuclei. In this work, we present a comprehensive set of ship-based aerosol and meteorological observations collected on the 6-week Southern Ocean Ross Sea Marine Ecosystem and Environment voyage (TAN1802) voyage of RV Tangaroa across the Southern Ocean, from Wellington, New Zealand, to the Ross Sea, Antarctica. The voyage was carried out from 8 February to 21 March 2018. Many distinct, but contemporaneous, data sets were collected throughout the voyage. The compiled data sets include measurements from a range of instruments, such as (i) meteorological conditions at the sea surface and profile measurements; (ii) the size and concentration of particles; (iii) trace gases dissolved in the ocean surface such as dimethyl sulfide and carbonyl sulfide; (iv) and remotely sensed observations of low clouds. Here, we describe the voyage, the instruments, and data processing, and provide a brief overview of some of the data products available. We encourage the scientific community to use these measurements for further analysis and model evaluation studies, in particular, for studies of Southern Ocean clouds, aerosol, and their interaction. The data sets presented in this study are publicly available at https://doi.org/10.5281/zenodo.4060237 (Kremser et al., 2020).

    Citation
    Kremser S, Harvey M, Kuma P, Hartery S, Saint-Macary A, McGregor J, Schuddeboom A, von Hobe M, Lennartz ST, Geddes A, Querel R, McDonald A, Peltola M, Sellegri K, Silber I, Law CS, Flynn CJ, Marriner A, Hill TCJ, DeMott PJ, Hume CC, Plank G, Graham G, Parsons S Southern Ocean cloud and aerosol data: a compilation of measurements from the 2018 Southern Ocean Ross Sea Marine Ecosystems and Environment voyage. Earth System Science Data. 13(7). 3115-3153.
    This citation is automatically generated and may be unreliable. Use as a guide only.
    ANZSRC Fields of Research
    37 - Earth sciences::3701 - Atmospheric sciences
    Rights
    All rights reserved unless otherwise stated
    http://hdl.handle.net/10092/17651

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      Modeling the shortwave radiation balance over the Southern Ocean region remains a challenge for Earth system models. To investigate whether this is related to the representation of aerosol-cloud interactions, we compared ...
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