Observations of high-time-resolution and size-resolved aerosol chemical composition and microphysics in the central Arctic: implications for climate-relevant particle properties
Atmospheric chemistry and physics,
Journal Year:
2025,
Volume and Issue:
25(4), P. 2207 - 2241
Published: Feb. 19, 2025
Abstract.
Aerosols
play
a
critical
role
in
the
Arctic's
radiative
balance,
influencing
solar
radiation
and
cloud
formation.
Limited
observations
central
Arctic
leave
gaps
understanding
aerosol
dynamics
year-round,
affecting
model
predictions
of
climate-relevant
properties.
Here,
we
present
first
annual
high-time-resolution
submicron
chemical
composition
during
Ocean
2018
(AO2018)
2019–2020
Multidisciplinary
drifting
Observatory
for
Study
Climate
(MOSAiC)
expeditions.
Seasonal
variations
mass
concentrations
were
found
to
be
driven
by
typical
seasonal
regimes
resemble
those
pan-Arctic
land-based
stations.
Organic
aerosols
dominated
pristine
summer,
while
anthropogenic
sulfate
prevailed
autumn
spring
under
haze
conditions.
Ammonium,
which
impacts
acidity,
was
consistently
less
abundant,
relative
sulfate,
compared
lower
latitudes
Arctic.
Cyclonic
(storm)
activity
have
significant
influence
on
variability
enhancing
emissions
from
local
sources
transport
remote
aerosol.
Local
wind-generated
particles
contributed
up
80
%
(20
%)
condensation
nuclei
population
(spring).
While
analysis
presented
herein
provides
current
baseline,
will
serve
improve
climate
region,
it
also
underscores
importance
integrating
short-timescale
processes,
such
as
wind-driven
blowing
snow
open
leads/ocean
simulations.
This
is
particularly
important,
given
decline
mid-latitude
increase
ones.
Language: Английский
Forcing for varying boundary layer stability across Antarctica
Weather and Climate Dynamics,
Journal Year:
2024,
Volume and Issue:
5(1), P. 369 - 394
Published: March 13, 2024
Abstract.
The
relative
importance
of
changes
in
radiative
forcing
(downwelling
longwave
radiation)
and
mechanical
mixing
(20
m
wind
speed)
controlling
boundary
layer
stability
annually
seasonally
at
five
study
sites
across
the
Antarctica
continent
is
presented.
From
near
neutral
to
extremely
strong
near-surface
stability,
decreases
with
increasing
as
expected,
shown
be
a
major
driving
force
behind
variations
all
sites.
Mechanical
usually
for
regimes
weak
stability.
For
cases
where
neutral,
very
shallow
mixed,
occur,
speed
mixed
case
weaker
compared
cases,
while
largest
cases.
This
finding
an
important
distinguishing
factor
unique
present,
indicating
that
this
likely
responsible
shallower
defines
regime.
enhanced
above
lower
downwelling
radiation
promotes
persistence
stronger
aloft,
winds
act
maintain
immediately
surface,
resulting
two-layer
Language: Английский
ALICENET – an Italian network of automated lidar ceilometers for four-dimensional aerosol monitoring: infrastructure, data processing, and applications
Annachiara Bellini,
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Henri Diémoz,
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Luca Di Liberto
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et al.
Atmospheric measurement techniques,
Journal Year:
2024,
Volume and Issue:
17(20), P. 6119 - 6144
Published: Oct. 22, 2024
Abstract.
Vertically
resolved
information
on
aerosol
particles
represents
a
key
aspect
in
many
atmospheric
studies,
including
aerosol–climate
interactions
and
impacts
air
quality
human
health.
This
is
primarily
derived
by
lidar
active
remote
sensing,
particular
with
extensive
networks
currently
operation
worldwide.
In
Italy,
the
Institute
of
Atmospheric
Sciences
Climate
(ISAC)
National
Research
Council
(CNR)
established
ALICENET
network
automated
ceilometers
(ALCs)
2015.
Since
then,
has
grown
as
cooperative
effort
Italian
institutions
dealing
science
monitoring,
it
includes
instruments
run
regional
environmental
protection
agencies,
universities,
research
centres,
private
companies.
current
configuration,
makes
use
both
single-channel
ALCs
dual-channel,
polarisation-sensitive-system
(referred
to
PLCs).
The
systems
operate
very
different
environments
(urban,
coastal,
mountainous,
volcanic
areas)
from
northern
southern
thus
allowing
continuous
monitoring
vertical
distribution
across
country.
also
contributes
EUMETNET
programme
E-PROFILE,
filling
an
observational
gap
compared
other
EU
member
states,
which
generally
extended
ALC
through
national
meteorological
services.
this
work,
we
present
infrastructure
specifically
developed
data
processing
centralised
at
CNR-ISAC,
converting
raw
instrumental
into
quantitative,
quality-controlled
properties
ranging
attenuated
backscatter
mass
stratifications.
setup
allows
us
get
insights
4D
field
over
Italy
applications
near-real-time
long-term
analyses,
examples
are
reported
work.
Specific
comparisons
products
independent
measurements
obtained
techniques,
such
particulate
matter
(PM)
concentrations
situ
samplers
optical
depth
(AOD)
sun
photometers,
included
here,
revealing
good
performances
algorithms.
Overall,
valuable
resource
extend
capabilities
Mediterranean
area,
bridging
between
its
application
specific
sectors,
among
quality,
solar
energy,
aviation
safety.
Language: Английский
Atmospheric Boundary Layer Stability in Urban Beijing: Insights from Meteorological Tower and Doppler Wind Lidar
Lin‐Lin Wang,
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Bingcheng Wan,
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Yuanjian Yang
No information about this author
et al.
Remote Sensing,
Journal Year:
2024,
Volume and Issue:
16(22), P. 4246 - 4246
Published: Nov. 14, 2024
The
limited
understanding
of
the
structure
urban
surface
atmospheric
boundary
layer
can
be
attributed
to
its
inherent
complexity,
as
well
a
deficiency
in
comprehensive
measurements.
We
analyzed
one
year
meteorological
data
and
Doppler
wind
lidar
measurements
Beijing
explore
how
stability
is
influenced
by
speed,
radiation,
turbulence,
pollution
levels.
Results
indicate
that
predominant
state
layers
an
active
condition
(characterized
strong
unstable
regimes)
throughout
day,
significant
heat
storage
capacity
canopy.
Strong
stable
regimes
are
more
frequently
observed
during
winter
autumn,
peaking
transitions
from
night
day.
Furthermore,
both
occur
under
very
weak
conditions
(indicating
dynamic
instability),
with
instability
associated
high
net
radiation
levels
while
correlates
low
(indicative
robust
thermal
stability).
regime
manifests
winds
(reflecting
instability)
alongside
moderate
environments,
characterized
elevated
values
turbulence
kinetic
energy
height,
highlighting
critical
role
mechanical
generation
periods
activity.
Additionally,
six
instances
pronounced
daytime
partially
coupled
pollutant
concentrations
near
surface,
resulting
prolonged
temperature
inversions
due
intense
radiative
cooling
effects
forcing.
Our
findings
presented
herein
expected
have
climate
environment
implications
for
other
cities
dense
infrastructure
all
over
world.
Language: Английский
Evaluation of the Coupled Arctic Forecast System’s representation of the Arctic atmospheric boundary layer vertical structure during MOSAiC
Gina Jozef,
No information about this author
John J. Cassano,
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Amy Solomon
No information about this author
et al.
Elementa Science of the Anthropocene,
Journal Year:
2024,
Volume and Issue:
12(1)
Published: Jan. 1, 2024
Observations
from
the
Multidisciplinary
drifting
Observatory
for
Study
of
Arctic
Climate
(MOSAiC)
were
used
to
evaluate
Coupled
Forecast
System
(CAFS)
model’s
ability
simulate
atmospheric
boundary
layer
(ABL)
structure
in
central
Arctic.
MOSAiC
observations
lower
atmosphere
radiosondes,
downwelling
longwave
radiation
(LWD)
a
pyranometer,
and
near-surface
wind
conditions
meteorological
tower
compared
6-hourly
CAFS
output.
A
self-organizing
map
(SOM)
analysis
reveals
that
reproduces
range
stability
structures
identified
by
SOM
trained
with
virtual
potential
temperature
(θv)
profiles,
but
not
necessarily
correct
frequency
or
at
time.
Additionally,
speed
profiles
corresponding
particular
θv
profile
are
consistent
between
observations.
When
categorizing
static
stability,
it
was
revealed
simulates
all
observed
regimes,
overrepresents
strong
underrepresents
top
ABL
1
km.
The
10
m
speeds
each
regime
consistently
have
larger
values
versus
observed,
this
offset
increases
decreasing
stability.
Whether
LWD
is
over
underestimated
dependent
on
regime.
Both
variables
most
greatly
overestimated
spring,
leading
largest
bias,
greatest
underrepresentation
spring.
results
article
serve
highlight
positive
aspects
representing
reveal
impacts
misrepresentations
physical
processes
dictating
energy,
moisture,
momentum
transfer
troposphere
simulation
This
highlights
areas
improvement
other
numerical
weather
prediction
models.
SOM-based
especially
provides
unique
opportunity
process-based
model
evaluation.
Language: Английский
Standardized Daily High‐Resolution Large‐Eddy Simulations of the Arctic Boundary Layer and Clouds During the Complete MOSAiC Drift
Journal of Advances in Modeling Earth Systems,
Journal Year:
2024,
Volume and Issue:
16(11)
Published: Nov. 1, 2024
Abstract
This
study
utilizes
the
wealth
of
observational
data
collected
during
recent
Multidisciplinary
drifting
Observatory
for
Study
Arctic
Climate
(
MOSAiC
)
drift
experiment
to
constrain
and
evaluate
close
two‐hundred
daily
Large‐Eddy
Simulations
(LES)
boundary
layers
clouds
at
high
resolutions.
A
standardized
approach
is
adopted
tightly
integrate
field
measurements
into
experimental
configuration.
Covering
full
represents
a
step
forward
from
single‐case
LES
studies,
allows
robust
assessment
model
performance
against
independent
under
range
atmospheric
conditions.
homogeneously
forced
domain
simulated
in
Lagrangian
frame
reference,
initialized
with
radiosonde
value‐added
cloud
profiles.
Prescribed
conditions
include
various
measured
surface
characteristics.
Time‐constant
composite
forcing
applied,
primarily
consisting
subsidence
rates
sampled
reanalysis
data.
The
simulations
run
3
hours,
allowing
turbulence
spin
up
while
still
facilitating
direct
comparison
Key
aspects
such
as
vertical
thermodynamic
structure,
properties,
energy
fluxes
are
well
reproduced
maintained.
captures
bimodal
distribution
states
that
typical
climate.
Selected
days
investigated
more
closely
assess
model's
skill
maintaining
observed
layer
structure.
sensitivity
configuration
physics
tested.
input
output
available
scientific
community,
supplementing
archive.
agreement
meteorology
justifies
use
gaining
further
insight
processes
their
role
climate
change.
Language: Английский