Aerosols
as
an
external
factor
have
important
role
in
the
amplification
of
Arctic
warming,
yet
geography
this
harsh
region
has
led
to
a
paucity
observations,
which
limited
our
understanding
climate.
We
synthesized
latest
decade
(2010–2021)
data
on
microphysical–optical–radiative
properties
aerosols
and
their
multi-component
evolution
during
summer,
taking
into
consideration
biomass
burning.
Our
results
are
based
continuous
observations
from
eight
AERONET
sites
across
region,
together
meteorological
reanalysis
dataset
satellite
fires,
utilize
back-trajectory
model
track
source
aerosols.
The
summer
climatological
characteristics
within
Circle
showed
that
mainly
fine-mode
(fraction
>0.95)
with
radius
0.15–0.20
μm,
slight
extinction
coefficient
(AOD440nm~
0.11)
moderate
strong
scattering
(SSA440nm~
0.95)
dominant
forward
(ASY440nm~
0.68).
These
optical
result
significant
cooling
at
Earth’s
surface
(DARF-BOA
~
−13
W
m−2)
weak
effect
top
atmosphere
(DARF-TOA
−5
m−2).
Further,
we
found
is
severely
impacted
by
burning
(BB)
events
July
August,
primarily
occur
central
eastern
Siberia
followed
subpolar
North
America.
plumes
BB
transport
westerly
circulation,
leading
increase
containing
large
amounts
organic
carbon.
Absorptive
carbonaceous
also
synergistically,
could
convert
instantaneous
direct
aerosol
radiative
heating
Earth–atmosphere
system.
This
study
provides
insights
complex
sources
loading
emphasizes
impacts
increasingly
frequent
occurrence
wildfire
recent
years.
Remote Sensing,
Journal Year:
2025,
Volume and Issue:
17(7), P. 1313 - 1313
Published: April 7, 2025
Dust
emissions
significantly
impact
the
radiation
balance,
ecosystems,
human
health,
and
global
climate
change
through
long-range
transport.
However,
their
spatiotemporal
characteristics
driving
mechanisms
in
East
Asia
remain
poorly
understood.
This
study
integrates
multi-source
reanalysis
remote
sensing
data
(1980–2023)
to
analyze
dust
across
Asian
source
regions
using
statistical
methods
SHapley
Additive
exPlanations
(SHAP)
interpretability.
The
results
show
significant
spatial
seasonal
variations,
with
peak
occurring
spring
(March–May).
Taklamakan
Desert
(S4)
accounts
for
38.1%
of
total
is
largest
region.
Meteorological
factors
are
main
drivers
(49.4–68.8%
contribution),
while
indices
contribute
least
(2.9–8.0%).
Wind
speed
most
critical
factor
emissions,
showing
a
positive
correlation
interacting
850
hPa
geopotential
height
boundary
layer
height.
vary
regions.
In
Mongolia
(S1),
mainly
influenced
by
wind
atmospheric
circulation,
S4,
near-surface
meteorological
conditions
play
dominant
role.
Tsaidam
Basin
Kumutage
(S5),
as
well
Badain
Jaran,
Tengger,
Ulan
Buh
Deserts
(S6),
primarily
driven
height,
circulation
also
playing
certain
Relative
humidity
shows
negative
S5
S6,
snowmelt
soil
temperature
have
impacts
on
S4
S5.
phases
Arctic
Oscillation
North
Atlantic
enhance
cold
air
activity
speed,
promoting
S1
S6.
quantifies
offers
scientific
support
improving
models
developing
disaster
mitigation
strategies.
Environmental Research Letters,
Journal Year:
2024,
Volume and Issue:
19(7), P. 074037 - 074037
Published: June 7, 2024
Abstract
Wildfires
in
Northeast
(NE)
Siberia
have
become
more
frequent
owing
to
the
warming
climate,
exerting
a
profound
impact
on
global
carbon
cycle.
While
an
increase
temperature
is
recognized
as
primary
driver
of
unprecedented
wildfires,
role
precipitation
during
wildfire
season
relatively
unexplored.
Here,
we
present
evidence
that
summer
led
sudden
decrease
NE
Siberian
especially
2022,
notwithstanding
persistent
trend
northern
high
latitudes.
The
interannual
variability
precipitation,
linked
large-scale
atmospheric
circulation,
known
Scandinavia
(SCAND)
pattern,
significantly
impacts
regulation
wildfires.
Climate
models
project
enhanced
potentially
amplifying
year-to-year
fluctuations
occurrences.
interplay
between
and
patterns
under
ongoing
may
occurrence
extreme
leading
substantial
release
further
contributing
climate
warming.
The
origin
and
climate
impact
of
Arctic
aerosols,
like
the
Haze,
are
not
fully
understood.
Therefore,
long-term
aerosol
observations
in
performed.
In
this
study
we
present
a
homogenised
data
set
from
sun
star
photometer
operated
European
Arctic,
Ny-Ålesund,
Svalbard,
2004
–
2023.
Due
to
polar
day
night
it
is
crucial
use
both
instruments.
Their
evaluated
same
way
follows
cloud-screening
procedure
AERONET.
Additionally,
an
improved
method
for
calibration
presented.
We
found
out,
that
winter
months
generally
more
polluted
have
larger
particles
than
summer.
While
monthly
median
Aerosol
Optical
Depth
(AOD)
decreases
spring,
AOD
increases
significantly
autumn
months.
Haze
characterised
by
large
can
be
distinguished
aerosols
With
autocorrelation
analysis
events
usually
occur
with
duration
several
hours
therefore
caused
large-scale
processes
may
periodicity
days.
Local
neglected
Ny-Ålesund
but
long-range
transport
plays
major
role
budget.
also
compared
processes,
oscillation
patterns,
sea
ice,
weather
conditions
or
wildfires
on
Northern
Hemisphere
did
find
one
single
cause,
which
clearly
determines
AOD.
Environmental Research Climate,
Journal Year:
2024,
Volume and Issue:
3(4), P. 045007 - 045007
Published: July 31, 2024
Abstract
Internal
climate
variability
(ICV)
often
violates
the
assumptions
of
statistical
methods,
and
research
community
does
not
have
an
established
approach
for
addressing
resulting
biases.
Here
we
argue
a
technique
call
model
Large-Ensemble
Monte-Carlo
(LENS-MC)
to
inform
selection
methods
real-world
application.
Until
now,
scientists
made
best
efforts
select
based
on
about
mathematical
properties
ICV.
LENS-MC
relaxes
these
justifies
method
selection,
potentially
wide
range
analyses.
We
demonstrate
using
case
study
errors
in
20
year
trends
global
temperature
top-of-atmosphere
flux
series,
comparing
results
with
standard
ordinary
least
squares
(OLS).
OLS
commonly
underestimates
trend
uncertainties,
higher
likelihood
falsely
reporting
statistically
significant
or
changes
trends,
example
p
<
0.05
when
statistics
are
actually
equivalent
0.56.
tests
result
that
almost
eliminate
low
bias
errors.
Using
suggested
researchers
less
likely
mistakenly
report
could
be
widely
applied
analysis
which
output
is
available,
provided
ICV
displays
similar
structure,
such
as
autocorrelation,
observed
Remote Sensing,
Journal Year:
2024,
Volume and Issue:
16(19), P. 3725 - 3725
Published: Oct. 7, 2024
The
climate
impact
of
Arctic
aerosols,
like
the
Haze,
and
their
origin
are
not
fully
understood.
Therefore,
long-term
aerosol
observations
in
performed.
In
this
study,
we
present
a
homogenised
data
set
from
sun
star
photometer
operated
European
Arctic,
Ny-Ålesund,
Svalbard,
20
years
2004–2023.
Due
to
polar
day
night,
it
is
crucial
use
both
instruments.
Their
evaluated
same
way
follows
cloud-screening
procedure
AERONET.
Additionally,
an
improved
method
for
calibration
presented.
We
found
out,
that
autumn
winter
generally
more
polluted
have
larger
particles
than
summer.
While
monthly
median
Aerosol
Optical
Depth
(AOD)
decreases
spring,
AOD
increases
significantly
autumn.
A
clear
signal
large
during
Haze
can
be
distinguished
aerosols
winter.
With
autocorrelation
analysis,
events
usually
occur
with
duration
several
hours.
also
compared
large-scale
processes,
oscillation
patterns,
sea
ice,
weather
conditions,
or
wildfires
Northern
Hemisphere
but
did
find
one
single
cause
clearly
determines
AOD.
Therefore
observed
optical
depth
superposition
different
sources.