https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2024JD041412

*Authors*
Alistair Duffey, Robbie Mallett, Victoria R. Dutch, Julia Steckling,
Antoine Hermant, Jonathan Day, Felix Pithan

First published: *07 June 2025*

https://doi.org/10.1029/2024JD041412

*Abstract*
The Arctic winter atmospheric boundary layer often features strong and
persistent low-level stability (LLS), which arises from longwave radiative
cooling of the surface during the polar night. This stable stratification
results in a positive lapse rate feedback, which is a major contributor to
Arctic amplification. A second state, with cloudy conditions, weaker
stability, and near-zero net surface longwave flux is also observed.
Previous work has shown that many CMIP5 models fail to appropriately
partition water between liquid and ice phases in mixed-phase clouds,
leading to a lack of this cloudy state. In this study, we assess the
representation of the Arctic winter atmospheric boundary layer over sea ice
in global climate models contributing to the latest phase of the Coupled
Model Intercomparison Project (CMIP6). We compare boundary layer process
relationships in these models to those in surface-based and radiosonde
observations collected during the MOSAiC (2019–2020) and SHEBA (1997–1998)
expeditions, and by North Pole drifting stations (1955–1991). The majority
of CMIP6 models fail to realistically represent the cloudy state over
winter Arctic sea ice. Despite this, CMIP6 multimodel mean LLS falls within
the observational range, and models mostly capture the observed dependence
of LLS on near-surface air temperature and wind speed. CMIP6 models predict
a decline in winter LLS with Arctic warming, with mean stability falling
below zero by 2100 under the SSP2-4.5 scenario. Our results highlight the
failure to accurately simulate mixed-phase clouds as an important
limitation on representing a realistic Arctic winter boundary layer in many
CMIP6 models.

*Key Points*
A cloudy state, without strong low-level stability (LLS), is often observed
over winter Arctic sea ice but is absent in most Coupled Model
Intercomparison Project (CMIP6) models

CMIP6 models show a realistic representation of the dependence of LLS on
near-surface air temperature and wind speed

Observations show a decreasing trend in Arctic winter LLS, which CMIP6
models project will continue under warming

*Plain Language Summary*
The atmospheric boundary layer is the lowest part of the atmosphere,
directly influenced by contact with the Earth's surface. In the Arctic
winter, this layer of the atmosphere is often coldest nearest the surface,
making it stable against vertical mixing. This feature of Arctic climate is
part of the explanation for the much more rapid warming seen in the Arctic
than elsewhere, known as Arctic amplification. In this study, we compare
the winter Arctic boundary in climate models against that which has been
observed in field campaigns. We assess the latest generation of climate
models and the most recent major overwinter Arctic field campaign, MOSAiC,
as well as earlier and often underexploited observations: the SHEBA
campaign and the North Pole drifting stations. We show that cloudy
conditions are underrepresented in many of these models. However, these
models mostly succeed in representing how stability varies with temperature
and wind speed. As the Arctic warms, low-level stability is expected to
decrease and models project that the stable state will no longer be
dominant in the Arctic winter before the end of the century under a medium
emissions scenario.

*Source: AGU*

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