Geophysical Research Letters,
Год журнала:
2023,
Номер
50(12)
Опубликована: Июнь 23, 2023
Abstract
The
amount
of
snow
on
Arctic
sea
ice
impacts
the
mass
budget.
Wind
redistribution
into
open
water
in
leads
is
hypothesized
to
cause
significant
wintertime
loss.
However,
there
are
no
direct
measurements
loss
leads.
We
measured
lost
four
Central
winter
2020.
find,
contrary
expectations,
that
under
typical
conditions,
minimal
was
during
a
cyclone
delivered
warm
air
temperatures,
high
winds,
and
snowfall,
35.0
±
1.1
cm
equivalent
(SWE)
lead
(per
unit
area).
This
corresponded
removal
0.7–1.1
SWE
from
entire
surface—∼6%–10%
this
site's
annual
precipitation.
Warm
which
increase
length
time
remain
unfrozen,
may
be
an
underappreciated
factor
Elementa Science of the Anthropocene,
Год журнала:
2023,
Номер
11(1)
Опубликована: Янв. 1, 2023
The
rapid
melt
of
snow
and
sea
ice
during
the
Arctic
summer
provides
a
significant
source
low-salinity
meltwater
to
surface
ocean
on
local
scale.
accumulation
this
on,
under,
around
floes
can
result
in
relatively
thin
layers
upper
ocean.
Due
small-scale
nature
these
upper-ocean
features,
typically
order
1
m
thick
or
less,
they
are
rarely
detected
by
standard
methods,
but
nevertheless
pervasive
critically
important
summer.
Observations
Multidisciplinary
drifting
Observatory
for
Study
Climate
(MOSAiC)
expedition
2020
focused
evolution
such
made
advancements
understanding
their
role
coupled
system.
Here
we
provide
review
Arctic,
with
emphasis
new
findings
from
MOSAiC.
Both
prior
recent
observational
datasets
indicate
an
intermittent
yet
long-lasting
(weeks
months)
layer
0.1
1.0
thickness,
large
spatial
range.
presence
impacts
physical
system
reducing
bottom
allowing
formation
via
false
growth.
Collectively,
bottoms
reduce
atmosphere-ocean
exchanges
momentum,
energy,
material.
far-reaching,
including
acting
as
barrier
nutrient
gas
exchange
impacting
ecosystem
diversity
productivity.
The cryosphere,
Год журнала:
2023,
Номер
17(3), С. 1279 - 1297
Опубликована: Март 16, 2023
Abstract.
We
provide
sea
ice
classification
maps
of
a
sub-weekly
time
series
single
(horizontal–horizontal,
HH)
polarization
X-band
TerraSAR-X
scanning
synthetic
aperture
radar
(TSX
SC)
images
from
November
2019
to
March
2020,
covering
the
Multidisciplinary
drifting
Observatory
for
Study
Arctic
Climate
(MOSAiC)
expedition.
This
classified
benefits
wide
spatial
coverage
and
relatively
high
resolution
TSX
SC
data
is
useful
basic
dataset
future
MOSAiC
studies
on
physical
processes
ocean
climate
modeling.
Sea
into
leads,
young
with
different
backscatter
intensities,
first-year
(FYI)
or
multiyear
(MYI)
degrees
deformation.
establish
per-class
incidence
angle
(IA)
dependencies
intensities
gray-level
co-occurrence
matrix
(GLCM)
textures
use
classifier
that
corrects
class-specific
decreasing
increasing
IAs,
both
HH
as
input
features.
Optimal
parameters
texture
calculation
are
derived
achieve
good
class
separation
while
maintaining
maximum
detail
minimizing
textural
collinearity.
Class
probabilities
yielded
by
adjusted
Markov
random
field
contextual
smoothing
produce
results.
The
texture-based
process
yields
an
average
overall
accuracy
83.70
%
correspondence
geometric
surface
roughness
in
situ
thickness
measurements
(correspondence
consistently
close
higher
than
80
%).
A
positive
logarithmic
relationship
found
between
intensity,
similar
previous
C-
L-band
studies.
Areal
fractions
classes
representing
openings
(leads
ice)
show
prominent
increases
middle
late
corresponding
well
ice-opening
this
study
those
satellite
(SAR)
optical
other
Elementa Science of the Anthropocene,
Год журнала:
2023,
Номер
11(1)
Опубликована: Янв. 1, 2023
Low-salinity
meltwater
from
Arctic
sea
ice
and
its
snow
cover
accumulates
creates
under-ice
layers
below
ice.
These
can
result
in
the
formation
of
new
layers,
or
false
bottoms,
at
interface
this
low-salinity
colder
seawater.
As
part
Multidisciplinary
drifting
Observatory
for
Study
Climate
(MOSAiC),
we
used
a
combination
coring,
temperature
profiles
thermistor
strings
underwater
multibeam
sonar
surveys
with
remotely
operated
vehicle
(ROV)
to
study
areal
coverage
temporal
evolution
bottoms
during
summer
melt
season
mid-June
until
late
July.
ROV
indicated
that
MOSAiC
Central
(350
by
200
m2)
was
21%.
Presence
reduced
bottom
7–8%
due
local
decrease
ocean
heat
flux,
which
be
described
thermodynamic
model.
Under-ice
layer
thickness
larger
first-year
thinner
thicker
second-year
We
also
found
thick
ridge
keels
confined
areas
accumulated,
preventing
mixing
underlying
While
model
could
reproduce
growth
melt,
it
not
describe
observed
rates
above
bottoms.
show
meltwater-layer
salinity
is
linked
brine
flushing
accumulating
bottom.
The
results
aid
estimating
contribution
mass
balance
salt
budget
Elementa Science of the Anthropocene,
Год журнала:
2024,
Номер
12(1)
Опубликована: Янв. 1, 2024
Central
Arctic
properties
and
processes
are
important
to
the
regional
global
coupled
climate
system.
The
Multidisciplinary
drifting
Observatory
for
Study
of
Climate
(MOSAiC)
Distributed
Network
(DN)
autonomous
ice-tethered
systems
aimed
bridge
gaps
in
our
understanding
temporal
spatial
scales,
particular
with
respect
resolution
Earth
system
models.
By
characterizing
variability
around
local
measurements
made
at
a
Observatory,
DN
covers
both
interactions
involving
ocean-ice-atmosphere
interfaces
as
well
three-dimensional
ocean,
sea
ice,
atmosphere.
more
than
200
instruments
(“buoys”)
were
varying
complexity
set
up
different
sites
mostly
within
50
km
Observatory.
During
an
exemplary
midwinter
month,
observations
captured
atmospheric
on
sub-monthly
time
but
less
so
monthly
means.
They
show
significant
snow
depth
ice
thickness,
provide
temporally
spatially
resolved
characterization
motion
deformation,
showing
coherency
scale
smaller
scales.
Ocean
data
background
gradient
across
dependent
due
mixed
layer
sub-mesoscale
mesoscale
processes,
influenced
by
variable
cover.
second
case
(May–June
2020)
illustrates
utility
during
absence
manually
obtained
providing
continuity
physical
biological
this
key
transitional
period.
We
examples
synergies
between
extensive
MOSAiC
remote
sensing
numerical
modeling,
such
estimating
skill
drift
forecasts
evaluating
modeling.
has
been
proven
enable
analysis
atmosphere-ice-ocean
potential
improve
model
parameterizations
important,
unresolved
future.
The cryosphere,
Год журнала:
2025,
Номер
19(2), С. 619 - 644
Опубликована: Фев. 7, 2025
Abstract.
The
melt
of
snow
and
sea
ice
during
the
Arctic
summer
is
a
significant
source
relatively
fresh
meltwater.
fate
this
freshwater,
whether
in
surface
ponds
or
thin
layers
underneath
leads,
impacts
atmosphere–ice–ocean
interactions
their
subsequent
coupled
evolution.
Here,
we
combine
analyses
datasets
from
Multidisciplinary
drifting
Observatory
for
Study
Climate
(MOSAiC)
expedition
(June–July
2020)
process
study
on
formation
freshwater
floes
Central
Arctic.
Our
budget
suggest
that
high
fraction
(58
%)
derived
melt.
Additionally,
contribution
stored
precipitation
(snowmelt)
outweighs
by
5
times
input
situ
(rain).
magnitude
rate
local
meltwater
production
are
remarkably
similar
to
those
observed
prior
Surface
Heat
Budget
Ocean
(SHEBA)
campaign,
where
cumulative
totaled
around
1
m
both.
A
small
(10
remains
ponds,
which
higher
more
deformed
second-year
(SYI)
compared
first-year
(FYI)
later
summer.
Most
drains
laterally
vertically,
with
vertical
drainage
enabling
storage
internally
freshening
brine
channels.
In
upper
ocean,
can
accumulate
transient
order
0.1
thick
leads
under
ice.
presence
such
substantially
system
reducing
bottom
allowing
false
growth;
heat,
nutrient,
gas
exchange;
influencing
ecosystem
productivity.
Regardless,
majority
inferred
be
ultimately
incorporated
into
ocean
(75
(14
%).
Terms
as
annual
could
used
future
work
diagnostics
global
climate
models.
For
example,
range
values
CESM2
model
roughly
encapsulate
total
production,
while
underestimated
about
50
%,
suggesting
pond
terms
key
investigation.
The cryosphere,
Год журнала:
2025,
Номер
19(3), С. 1259 - 1278
Опубликована: Март 17, 2025
Abstract.
Arctic
sea
ice
has
undergone
significant
changes
over
the
past
50
years.
Modern
large-scale
estimates
of
thickness
and
volume
come
from
satellite
observations.
However,
these
have
limited
accuracy,
especially
during
melt
season,
making
it
difficult
to
compare
state
year
year.
Uncertainties
in
density
lead
high
uncertainties
retrieval
its
freeboard.
During
Multidisciplinary
drifting
Observatory
for
Study
Climate
(MOSAiC)
expedition,
we
observed
a
first-year
(FYI)
freeboard
increase
0.02
m,
while
decreased
by
0.5
m
season
June–July
2020.
Over
same
period,
FYI
910
880
kg
m−3,
air
fraction
increased
1
%
6
%,
due
void
expansion
controlled
internal
melt.
This
substantially
affected
Due
differences
thermodynamic
(such
as
salinity
temperature),
is
less
pronounced
second-year
(SYI)
smaller
impact
on
evolution
SYI
ridges.
We
validated
our
discrete
measurements
coring
using
co-located
topography
observations
underwater
sonar
an
airborne
laser
scanner.
Despite
decreasing
thickness,
similar
counterintuitive
increasing
was
entire
0.9
km2
MOSAiC
floe,
with
stronger
than
saline
SYI.
The
surrounding
area
experienced
slightly
lower
0.01
July
2020,
despite
comparable
rates
obtained
mass
balance
buoys.
defines
rapid
decrease
density,
complicates
altimeters
underlines
importance
considering
algorithms.
Elementa Science of the Anthropocene,
Год журнала:
2023,
Номер
11(1)
Опубликована: Янв. 1, 2023
As
part
of
the
Multidisciplinary
drifting
Observatory
for
Study
Arctic
Climate
(MOSAiC),
four
autonomous
seasonal
ice
mass
balance
buoys
were
deployed
in
first-
and
second-year
ice.
These
measured
position,
barometric
pressure,
snow
depth,
thickness,
growth,
surface
melt,
bottom
vertical
profiles
temperature
from
air,
through
ice,
into
upper
ocean.
Observed
air
temperatures
similar
at
all
sites;
however,
snow–ice
interface
varied
by
as
much
10°C,
primarily
due
to
differences
depth.
winter
growth
rates
(November
May)
<1
cm
day−1,
with
summer
melt
(June
July)
large
5
day−1.
Air
changed
2°C
hour−1
but
dampened
<0.3°C
interface.
Initial
October
thicknesses
ranged
0.3
m
first-year
1.2
By
February,
this
range
was
only
1.20–1.46
m,
onset
basal
freezing.
In
delay
brine-filled
voids
ice;
propagating
cold
front
required
freezing
brine.
Mass
results
those
North
Pole
2000
2013.
Winter
average
estimates
ocean
heat
flux
0
3
W
m−2,
a
increase
June
2020
floe
moved
warmer
water.
Estimates
thermal
conductivity
two
during
periods
linear
0.41
0.42
m−1
°C−1,
higher
than
previously
published
estimates.
Results
these
can
contribute
efforts
close
MOSAiC
budget.
Elementa Science of the Anthropocene,
Год журнала:
2023,
Номер
11(1)
Опубликована: Янв. 1, 2023
Sea-ice
ridges
constitute
a
large
fraction
of
the
ice
volume
in
Arctic
Ocean,
yet
we
know
little
about
evolution
these
masses.
Here
examine
thermal
and
morphological
an
first-year
sea-ice
ridge,
from
its
formation
to
advanced
melt.
Initially
mean
keel
depth
was
5.6
m
sail
height
0.7
m.
The
initial
rubble
macroporosity
(fraction
seawater
filled
voids)
estimated
at
29%
drilling
43%–46%
buoy
temperature.
From
January
until
mid-April,
ridge
consolidated
slowly
by
heat
loss
atmosphere
total
layer
growth
during
this
phase
mid-April
mid-June,
there
sudden
increase
consolidation
rate
despite
no
conductive
flux.
We
surmise
change
related
decreased
due
transport
snow-slush
via
adjacent
open
leads.
In
period,
thickness
increased
2.1
At
peak
melt
June–July
suggest
that
refreezing
surface
snow
meltwater
(the
latter
only
15%
consolidation).
used
morphology
parameters
calculate
hydrostatic
equilibrium
obtained
more
accurate
estimate
actual
keel,
correcting
2.2
2.8
for
average
consolidation.
This
approach
also
allowed
us
0.3
m,
June–July,
accompanied
decrease
draft
0.9
An
mass
balance
indicated
which
rapid
mode
April
June.
By
resulted
drastic
interior
while
flanks
had
or
macroporosity.
These
results
are
important
understanding
role
keels
as
sources
sinks
sanctuary
ice-associated
organisms
pack
ice.
Geophysical Research Letters,
Год журнала:
2023,
Номер
50(4)
Опубликована: Фев. 22, 2023
Abstract
Comparing
helicopter‐borne
surface
temperature
maps
in
winter
and
optical
orthomosaics
summer
from
the
year‐long
Multidisciplinary
drifting
Observatory
for
Study
of
Arctic
Climate
expedition,
we
find
a
strong
geometric
correlation
between
warm
anomalies
melt
pond
location
following
summer.
Warm
are
associated
with
thinner
snow
ice,
that
is,
depression
refrozen
leads,
allow
water
accumulation
during
melt.
January
were
0.3–2.5
K
warmer
on
sea
ice
later
formed
ponds.
A
one‐dimensional
steady‐state
thermodynamic
model
shows
observed
differences
line
thickness
depth.
We
demonstrate
potential
seasonal
prediction
coverage
observations.
threshold‐based
classification
achieves
correct
41%