Environmental Research Letters,
Год журнала:
2024,
Номер
19(2), С. 024018 - 024018
Опубликована: Янв. 8, 2024
Abstract
The
observed
winter
Barents-Kara
Sea
(BKS)
sea
ice
concentration
(SIC)
has
shown
a
close
association
with
the
second
empirical
orthogonal
function
(EOF)
mode
of
Eurasian
surface
air
temperature
(SAT)
variability,
known
as
Warm
Arctic
Cold
Eurasia
(WACE)
pattern.
However,
potential
role
BKS
SIC
on
this
WACE
pattern
variability
and
its
long-term
trend
remains
elusive.
Here,
we
show
that
from
1979
to
2022,
is
most
prominent
statistically
significant
for
at
sub-decadal
time
scale
5–6
years.
We
also
critical
multi-decadal
in
principal
component
explaining
overall
over
same
period.
Furthermore,
large
multi-model
ensemble
atmosphere-only
experiments
2014,
without
forcing,
suggests
variations
induce
WACE.
Additionally,
analyse
model
simulated
first
or
leading
EOF
SAT
which
observations,
closely
relates
Oscillation
(AO).
find
weaker
AO
positive
our
simulation,
opposite
found
observation.
This
contrasting
nature
reflects
excessive
hemispheric
warming
models,
partly
contributed
by
modelled
loss.
Geophysical Research Letters,
Год журнала:
2020,
Номер
47(17)
Опубликована: Авг. 25, 2020
Abstract
Previous
work
highlighted
different
configurations
of
the
atmospheric
circulation
causing
moisture
transport
into
Arctic
and
contributing
to
surface
warming.
Here,
we
clarify
leading
extreme
wintertime
events
zonal‐mean
net
total
(sum
absolute
values
poleward
equatorward)
transports
by
comparing
feature‐based
weather
system
diagnostics
with
zonal‐wavenumber
decomposition
in
reanalysis
data.
Results
show
that
are
attributable
individual
systems,
where
cyclones
favor
blocks
transport.
Zonal‐wavenumber
reveals
is
dominated
planetary
scales
(zonal‐wavenumbers
k
≤
3
).
Comparison
between
two
suggests
account
for
scale
contributions
interacting
rather
than
driving
themselves.
Finally,
result
warming
via
underlying
processes
related
blocks,
respectively.
Environmental Research Letters,
Год журнала:
2021,
Номер
16(9), С. 094040 - 094040
Опубликована: Авг. 19, 2021
Abstract
Extreme
cold
waves
frequently
occur
in
east
of
China
that
dramatically
endanger
ecological
agriculture,
power
infrastructure
and
human
life.
In
this
study,
we
found
the
‘Warm
Arctic-Cold
Siberia’
pattern
(WACS)
significantly
enhanced
according
to
daily
composites
from
1979
2018.
During
winter
2020/21,
a
record-breaking
wave
broke
out
following
noticeable
WACS
phenomenon
induced
record-low
surface
air
temperature
at
60
meteorological
stations
since
they
were
established
(nearly
years).
On
3
January
2021,
difference
anomaly
between
Barents–Kara
Sea
Siberia
reached
20
°C,
peak
2020/21.
With
shrinking
meridional
gradient,
atmospheric
baroclinicity
weakened
correspondingly.
The
accompanying
anomalies,
i.e.
persistent
Ural
Blocking
High
Baikal
deep
trough
effectively
transported
stronger
than
sole
impact
Arctic
warming.
After
4
d,
experienced
severe
decrease
more
8
covering
an
area
2500
000
km
2
.
same
winter,
warm
event
occurred
February
‘Cold
Arctic-Warm
Eurasia’
also
appeared
as
precursory
signal.
Furthermore,
on
interannual
scale,
connection
winter-mean
anomalies
existed
even
performed
strongly
both
observations
simulation
data
CMIP6.
Abstract
In
recent
decades,
the
winter
surface
air
temperature
(SAT)
anomaly
in
Northern
Hemisphere
has
exhibited
a
warm
Arctic‐cold
Eurasia
(WACE)
dipole
pattern
and
this
undergone
significant
decadal
variation.
paper,
physical
cause
of
variability
WACE
is
explored,
it
shown
to
be
mediated
by
phases
Pacific
Decadal
Oscillation
(PDO)
Atlantic
Multidecadal
(AMO).
Although
negative
PDO
(PDO
−
)
or
positive
AMO
(AMO
+
favors
pattern,
meridional
structure
significantly
influenced
whether
dominates.
During
phase,
winter‐mean
shows
an
asymmetric
with
weak
(strong)
over
Barents‐Kara
Seas
BKS
strong
(weak)
cold
central
Siberia,
which
corresponds
Ural
blocking
(UB)
concurring
(positive)
phase
North
field.
The
more
strongly
related
than
.
It
further
found
that
sub‐seasonal
Siberia
usually
formed
during
UB
episode
due
favored
(suppressed)
downward
infrared
radiation
turbulent
heat
flux
),
leads
pattern.
Weather and Climate Dynamics,
Год журнала:
2023,
Номер
4(1), С. 95 - 114
Опубликована: Янв. 18, 2023
Abstract.
It
is
now
well
established
that
the
Arctic
warming
at
a
faster
rate
than
global
average.
This
warming,
which
has
been
accompanied
by
dramatic
decline
in
sea
ice,
linked
to
cooling
over
Eurasian
subcontinent
recent
decades,
most
dramatically
during
period
1998–2012.
counter-intuitive
impact
under
given
land
regions
should
warm
more
ocean
(and
average).
Some
studies
have
proposed
causal
teleconnection
from
sea-ice
retreat
wintertime
cooling;
other
argue
mainly
driven
internal
variability.
Overall,
there
an
impression
of
strong
disagreement
between
those
holding
“ice-driven”
versus
“internal
variability”
viewpoints.
Here,
we
offer
alternative
framing
showing
ice
and
variability
views
can
be
compatible.
Key
this
viewing
through
lens
dynamics
(linked
primarily
with
some
potential
contribution
ice;
cools
Eurasia)
thermodynamics
retreat;
warms
Eurasia).
approach,
combined
recognition
uncertainty
hypothesized
mechanisms
themselves,
allows
both
viewpoints
others)
co-exist
contribute
our
understanding
cooling.
A
simple
autoregressive
model
shows
magnitude
consistent
variability,
periods
exhibiting
stronger
others,
either
chance
or
forced
changes.
Rather
posit
“yes-or-no”
relationship
cooling,
constructive
way
forward
consider
whether
trend
was
likely
observed
loss,
as
sources
low-frequency
Taken
are
factors
affect
likelihood
regional
presence
ongoing
warming.
Whether
the
rapid
warming
of
Arctic,
particularly
Barents-Kara
Sea
(BKS),
substantially
affects
Eurasian
winter
climate
has
been
debated
for
over
a
decade.
Here,
we
use
an
extended
dynamical
adjustment
method
to
separate
effects
internal
dynamics
and
thermodynamically
forced
BKS
on
atmospheric
circulation,
relying
solely
observations.
Evidence
shows
that
observed
link
between
cooling
is
influenced
by
both
variability
warming.
Internal
variability,
Arctic
Oscillation,
predominantly
contributed
from
1991
2012.
While
weaker
impact
interannual
interdecadal
timescales,
it
notably
multidecadal
scales,
contributing
“warming
hole”
in
central
Eurasia
during
1980–2022.
Our
findings
suggest
weak
but
non-negligible
response
timescales.
These
advance
understanding
complex
causal
relationships
mid-latitude
climates.
Science Bulletin,
Год журнала:
2023,
Номер
68(5), С. 528 - 535
Опубликована: Фев. 9, 2023
The
"Arctic
warming-Eurasia
cooling"
trend
has
significantly
affected
the
changes
of
weather
patterns
and
climate
extremes
at
lower
latitudes
attached
huge
attentions.
However,
this
winter
weakened
from
2012
to
2021.
In
same
time
period,
subseasonal
reversals
between
warm
Arctic-cold
Eurasia
(WACE)
cold
Arctic-warm
(CAWE)
became
more
frequent
intensity
WACE/CAWE
pattern
was
still
comparable
with
that
1996
2011.
This
study
highlighted
co-occurrence
variability
in
based
on
long-term
reanalysis
datasets
Coupled
Model
Intercomparison
Project
Phase
6
simulations.
preceding
sea
surface
temperature
anomalies
tropical
Atlantic
Indian
oceans
had
significant
primary
impacts
early
late
winter,
respectively,
which
were
confirmed
by
numerical
experiments
Community
Atmosphere
Atmospheric
Project.
Their
coordination
worked
effectively
modulate
phase
reversal
WACE
CAWE
just
like
what
happened
winters
2020
Findings
present
imply
need
be
considered
prediction
mid-
low
latitudes.
Scientific Reports,
Год журнала:
2021,
Номер
11(1)
Опубликована: Фев. 18, 2021
Abstract
The
subseasonal
relationship
between
Arctic
and
Eurasian
surface
air
temperature
(SAT)
is
re-examined
using
reanalysis
data.
Consistent
with
previous
studies,
a
significant
negative
correlation
observed
in
cold
season
from
November
to
February,
but
local
minimum
late
December.
This
dominated
not
only
by
the
warm
Arctic-cold
Eurasia
(WACE)
pattern,
which
becomes
more
frequent
during
last
two
decades,
also
Arctic-warm
(CAWE)
pattern.
budget
analyses
reveal
that
both
WACE
CAWE
patterns
are
primarily
driven
advection
associated
sea
level
pressure
anomaly
over
Ural
region,
partly
cancelled
diabatic
heating.
It
further
found
that,
although
anticyclonic
of
pattern
mostly
represents
blocking,
about
20%
cases
non-blocking
high
systems.
result
indicates
blocking
necessary
condition
for
highlighting
importance
transient
weather
systems
Arctic-Eurasian
SAT
co-variability.