% IMPORTANT: The following is UTF-8 encoded. This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.
@ARTICLE{Kremser:894288,
author = {Kremser, Stefanie and Harvey, Mike and Kuma, Peter and
Hartery, Sean and Saint-Macary, Alexia and McGregor, John
and Schuddeboom, Alex and von Hobe, Marc and Lennartz,
Sinikka T. and Geddes, Alex and Querel, Richard and
McDonald, Adrian and Peltola, Maija and Sellegri, Karine and
Silber, Israel and Law, Cliff S. and Flynn, Connor J. and
Marriner, Andrew and Hill, Thomas C. J. and DeMott, Paul J.
and Hume, Carson C. and Plank, Graeme and Graham, Geoffrey
and Parsons, Simon},
title = {{S}outhern {O}cean cloud and aerosol data: a compilation of
measurements from the 2018 {S}outhern {O}cean {R}oss {S}ea
{M}arine {E}cosystems and {E}nvironment voyage},
journal = {Earth system science data},
volume = {13},
number = {7},
issn = {1866-3516},
address = {Katlenburg-Lindau},
publisher = {Copernics Publications},
reportid = {FZJ-2021-03160},
pages = {3115 - 3153},
year = {2021},
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).},
cin = {IEK-7},
ddc = {550},
cid = {I:(DE-Juel1)IEK-7-20101013},
pnm = {2112 - Climate Feedbacks (POF4-211)},
pid = {G:(DE-HGF)POF4-2112},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000670623800002},
doi = {10.5194/essd-13-3115-2021},
url = {https://juser.fz-juelich.de/record/894288},
}