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\begin{document}

\title{Long-term statistical analysis of wintertime cloud thermodynamic phase
and micro-physical properties in relation to sea ice condition at NSA
Utqia\selectlanguage{romanian}ǵvik site\selectlanguage{english}}



\author[1]{Pablo Saavedra Garfias}%
\author[1]{Heike Kalesse-Los}%
\affil[1]{Leipzig Institute for Meteorology Faculty of Physics and Earth Sciences}%


\vspace{-1em}



  
  \date{May 15, 2024}


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\selectlanguage{english}
\begin{abstract}
It has been found that wintertime mixed-phase cloud properties can
present significant differences based on the degree of interaction with
air masses coming from locations with reduced sea ice concentration or
high presence of sea ice leads. When these air masses are represented by
the water vapor transport (WVT) which can interact with the clouds, the
properties of the clouds show contrasting differences with respect to
cases where the WVT is not interacting with the cloud, i.e. it is not
coupled to the cloud. These findings have been reported first for the
analysis of the MOSAiC expedition dataset from 2019 to 2020 in the
central Arctic \hyperref[csl:1]{(Shupe et al., 2022}; \hyperref[csl:2]{Saavedra Garfias et al., 2023)}. In the present contribution, we
expand that analysis to long-term measurements (2012-2022) at the U.S.
Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) at
the North Slope Alaska (NSA) site in Utqia\selectlanguage{romanian}ǵvik, Alaska. Based on those
10 years of characterized cloud and~ sea ice properties, statistically
more robust analysis is performed to support or contradict the MOSAiC
results. Furthermore, the statistically richer data set from NSA allows
to narrow down cases where the properties or coupled clouds to WVT are
substantially dissimilar to decoupled cases. Among those are the
increase of liquid water path correlated to a decrease of sea ice
concentration and ice water paths which are not exhibiting an influence
by sea ice concentration. The thermodynamic phase of the clouds also
exposes differences based on the state of coupling among the
cloud--WVT--sea ice system. These results are put into consideration for
the modeling community since sea ice leads are not explicitly resolved
in such models, thus the sea ice leads or polynyas effects to processes
responsible for mixed-phase cloud formation/dissipation and
thermodynamic phase balance are of considerable interest for the
parametrization of energy exchange between the surface and the
atmosphere in the Arctic.

\textbf{AGU 2023 Session Selection}: A093. Microphysical and
Macrophysical Properties and Processes of Ice and Mixed-Phase Clouds:
Linking in Situ and Remote Sensing Observations and Multiscale Models.%
\end{abstract}\selectlanguage{romanian}%



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\selectlanguage{english}
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\section*{References}\sloppy
\phantomsection
\label{csl:1}{Overview of the MOSAiC expedition: Atmosphere}. (2022). \textit{Elem Sci Anth}, \textit{10}(1). \url{https://doi.org/10.1525/elementa.2021.00060}

\phantomsection
\label{csl:2}{Asymmetries in cloud microphysical properties  ascribed to sea ice leads via water vapour  transport  in the central Arctic}. (2023). \textit{Atmospheric Chemistry and Physics}, \textit{23}(22). \url{https://doi.org/10.5194/acp-23-14521-2023}

\end{document}

