Clouds Are Crucial to Capture Antarctic Sea Ice Variability
Geophysical Research Letters,
Год журнала:
2025,
Номер
52(3)
Опубликована: Фев. 4, 2025
Abstract
Models
from
the
Coupled
Model
Intercomparison
Project
phase
6
(CMIP6)
typically
struggle
to
reproduce
observed
Antarctic
sea
ice
trends,
a
bias
that
is
substantially
alleviated
when
constraining
winds.
We
use
wind‐nudged
simulations
two
CMIP
models
investigate
influence
of
clouds
on
area
(SIA).
find
nudging
model
winds
in
coupled
toward
reanalysis,
addition
improving
SIA
variability,
crucial
realistic
anomalies
cloud
radiative
effect
(CRE)
and
cover.
Biases
variability
properties
at
edge—characterized
by
CRE
anomalies—help
explain
remaining
discrepancies
between
simulated
SIA;
1
anomaly
corresponds
negative
0.43
anomaly.
Finally,
we
most
CMIP6
show
positive
trends
biases,
which
should
contribute
enhanced
decline,
long‐standing
models.
Язык: Английский
Living with uncertainty: Using multi-model large ensembles to assess emperor penguin extinction risk for the IUCN Red List
Biological Conservation,
Год журнала:
2025,
Номер
unknown, С. 111037 - 111037
Опубликована: Март 1, 2025
Язык: Английский
The future extent of the Anthropocene epoch: A synthesis
Global and Planetary Change,
Год журнала:
2024,
Номер
unknown, С. 104568 - 104568
Опубликована: Сен. 1, 2024
Язык: Английский
A twenty-first century structural change in Antarctica’s sea ice system
Communications Earth & Environment,
Год журнала:
2025,
Номер
6(1)
Опубликована: Фев. 21, 2025
Язык: Английский
Changes in seasonality and extent of Antarctic sea ice cover over the satellite record
Elsevier eBooks,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 1, 2025
Язык: Английский
Seasonal and Regional Antarctic Sea Ice Biases: A Closer Look at CMIP6
ATMOSPHERE-OCEAN,
Год журнала:
2025,
Номер
unknown, С. 1 - 18
Опубликована: Май 29, 2025
Язык: Английский
Brief communication: New perspectives on the skill of modelled sea ice trends in light of recent Antarctic sea ice loss
The cryosphere,
Год журнала:
2024,
Номер
18(12), С. 5641 - 5652
Опубликована: Дек. 5, 2024
Abstract.
Most
climate
models
do
not
reproduce
the
1979–2014
increase
in
Antarctic
sea
ice
cover.
This
was
a
contributing
factor
successive
Intergovernmental
Panel
on
Climate
Change
reports
allocating
low
confidence
to
model
projections
of
over
21st
century.
We
show
that
recent
rapid
declines
bring
observed
area
trends
back
into
line
with
and
confirm
discrepancies
exist
for
earlier
periods.
demonstrates
exhibit
different
skill
timescales
discuss
possible
interpretations
this
linear
trend
assessment
given
abrupt
nature
changes
implications
future
research.
Язык: Английский
Penguins coping with a changing ocean
Elsevier eBooks,
Год журнала:
2024,
Номер
unknown
Опубликована: Янв. 1, 2024
Язык: Английский
Deep Learning for Antarctic Sea Ice Anomaly Detection and Prediction: A Two-Module Framework
Опубликована: Окт. 29, 2024
The
Antarctic
sea
ice
cover
plays
a
crucial
role
in
regulating
global
climate
and
level
rise.
recent
retreat
of
the
Sea
Ice
Extent
accelerated
melting
sheets
(which
causes
rise)
raise
concerns
about
impact
change.
Understanding
spatial
patterns
anomalous
events
is
for
improving
models
predicting
future
rise,
as
serves
protective
barrier
sheets.
This
paper
proposes
two-module
framework
based
on
Deep
Learning
that
utilizes
satellite
imagery
to
identify
predict
non-anomalous
regions
ice.
first
module
focuses
identifying
current
day
by
analyzing
difference
between
consecutive
images
over
time.
second
then
leverages
day's
information
predicts
next
regions.
approach
aims
improve
our
ability
monitor
critical
changes
cover.
Язык: Английский
Antarctic sea ice multidecadal variability triggered by Southern Annular Mode and deep convection
Communications Earth & Environment,
Год журнала:
2024,
Номер
5(1)
Опубликована: Ноя. 8, 2024
Antarctic
sea
ice
exerts
great
influence
on
Earth's
climate
by
controlling
the
exchange
of
heat,
momentum,
freshwater,
and
gases
between
atmosphere
ocean.
extent
has
undergone
a
multidecadal
slight
increase
followed
substantial
decline
since
2016.
Here
we
utilize
300-yr
data
assimilation
reconstruction
two
NOAA/GFDL
five
CMIP6
model
simulations
to
demonstrate
variability
extent.
Stronger
westerlies
associated
with
Southern
Annular
Mode
(SAM)
enhance
upwelling
warm
saline
water
from
subsurface
The
consequent
salinity
weakens
upper-ocean
stratification,
induces
deep
convection,
in
turn
brings
more
surface.
This
salinity-convection
feedback
triggered
SAM
provides
favorable
conditions
for
decrease.
Processes
acting
reverse
are
found
cause
increase,
although
it
evolves
slower
than
Multidecadal
anomalies
preceded
wind
which
may
induce
melting,
according
combined
approach
using
prolonged
reconstructions
coupled
Язык: Английский