Abstract.
Melt
ponds
play
a
vital
role
in
determining
the
Arctic
energy
budget
by
accelerating
rate
of
sea
ice
loss
aided
their
lower
albedo.
Therefore,
an
accurate
long-term
estimate
Pond
Fraction
(MPF)
is
necessary
to
forecast
summer
ice-free
conditions.
Earth
Observation
(EO)
satellite
systems
provide
ideal
tools
monitor
evolution
melt
ponds,
both
spatially
and
temporally,
near-real
time.
However,
MPF
estimates
from
these
studies
are
affected
presence
small,
fragmented
floes
called
brash
ice,
submerged
ice.
An
improved
workflow
remove
effects
aforementioned
features
estimate.
Here,
we
using
Sentinel-2
imagery,
coupling
Random
Forest
(RF)
model
with
mathematical
morphological
algorithms
–
dilation
reconstruction
which
improves
reducing
misclassifications
nilas,
submerged,
Further,
present
inter-seasonal
time-series
2018
2021
show
that
employing
operations
after
RF
reduces
mean
greater
than
40
%.
Our
results
exhibited
considerable
intra-
variations,
maximum
reaching
as
high
57
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%
Elementa Science of the Anthropocene,
Год журнала:
2024,
Номер
12(1)
Опубликована: Янв. 1, 2024
The
Multidisciplinary
drifting
Observatory
for
the
Study
of
Arctic
Climate
(MOSAiC,
2019–2020),
a
year-long
drift
with
sea
ice,
has
provided
scientific
community
an
unprecedented,
multidisciplinary
dataset
from
Eurasian
Ocean,
covering
high
atmosphere
to
deep
ocean
across
all
seasons.
However,
heterogeneity
data
and
superposition
spatial
temporal
variability,
intrinsic
campaign,
complicate
interpretation
observations.
In
this
study,
we
have
compiled
quality-controlled
physical
hydrographic
best
spatio-temporal
coverage
derived
core
parameters,
including
mixed
layer
depth,
heat
fluxes
over
key
layers,
friction
velocity.
We
provide
comprehensive
accessible
overview
conditions
encountered
along
MOSAiC
drift,
discuss
their
interdisciplinary
implications,
compare
common
climatologies
these
new
data.
Our
results
indicate
that,
most
part,
variability
was
dominated
by
regional
rather
than
seasonal
signals,
carrying
potentially
strong
implications
biogeochemistry,
ecology,
even
atmospheric
conditions.
Near-surface
properties
were
strongly
influenced
relative
position
sampling,
within
or
outside
river-water
Transpolar
Drift,
warming
meltwater
input.
Ventilation
down
Atlantic
Water
in
Nansen
Basin
allowed
stronger
connectivity
between
subsurface
ice
surface
via
elevated
upward
fluxes.
Yermak
Plateau
Fram
Strait
regions
characterized
heterogeneous
water
mass
distributions,
energetic
currents,
lateral
gradients
frontal
regions.
Together
presented
offer
context
research,
fostering
improved
understanding
complex,
coupled
System.
Abstract
Airborne
laser
scanners
(ALS)
are
used
to
map
the
sea-ice
surface
at
sub-meter
resolution.
We
conducted
64
flights
over
Arctic
sea
ice
between
September
2019
and
2020
during
Multidisciplinary
drifting
Observatory
for
Study
of
Climate
(MOSAiC)
expedition
measure
elevation.
The
ranged
from
repeated,
local-scale
5
×
km
2
floe
grid
surveys
regional-scale
transects
more
than
100
long.
provide
data
different
processing
levels:
geolocated
elevation
point
clouds
gridded
segments
freeboard
with
a
spatial
resolution
0.5
m.
latter
product
is
corrected
atmospheric
backscatter,
drift,
offset
in
due
degraded
INS/GNSS
solutions
>
85°
N.
For
surveys,
all
combined
merged
two-dimensional
maps.
Other
provided
parameters
include
reflectance
echo
width.
presented
offer
unique
possibility
study
temporal
evolution,
distribution,
variability
snow
their
properties
addition
validating
satellite
products.
The cryosphere,
Год журнала:
2023,
Номер
17(11), С. 4873 - 4887
Опубликована: Ноя. 20, 2023
Abstract.
Sea-ice
ridges
constitute
a
large
fraction
of
the
total
Arctic
sea-ice
area
(up
to
40
%–50
%);
nevertheless,
they
are
least
studied
part
ice
pack.
Here
we
investigate
melt
rates
using
rare,
repeated
underwater
multibeam
sonar
surveys
that
cover
period
1
month
during
advanced
stage
melt.
Bottom
increases
with
draft
for
first-
and
second-year
level
first-year
ridge,
an
average
0.46,
0.55,
0.95
m
snow
in
observation
period,
respectively.
On
average,
ridge
had
4.6
keel
bottom
draft,
was
42
wide,
4
%
macroporosity.
While
were
3.8
times
higher
than
ice,
surface
almost
identical
but
responsible
decrease.
Average
cross-sectional
ranged
from
0.2
2.6
m,
maximum
point
loss
6
showcasing
its
spatial
variability.
We
attribute
57
(surface
bottom)
variability
(36
%),
slope
(32
width
(27
larger
steeper
slope,
smaller
width.
The
rate
flanks
proportional
increased
within
10
corners
between
these
comparable
ice.
The cryosphere,
Год журнала:
2024,
Номер
18(7), С. 2991 - 3015
Опубликована: Июль 2, 2024
Abstract.
Melt
ponds
are
a
core
component
of
the
summer
sea
ice
system
in
Arctic,
increasing
uptake
solar
energy
and
impacting
ice-associated
ecosystem.
They
were
thus
one
key
topics
during
1-year
drift
campaign
Multidisciplinary
drifting
Observatory
for
Study
Arctic
Climate
(MOSAiC)
Transpolar
Drift
2019/2020.
Pond
depth
is
dominating
factor
describing
surface
meltwater
volume;
it
necessary
to
estimate
budgets
used
model
parameterization
simulate
pond
coverage
evolution.
However,
observational
data
on
spatially
temporally
strongly
limited
few
situ
measurements.
bathymetry,
which
fully
resolved,
remains
unexplored.
Here,
we
present
newly
developed
method
derive
bathymetry
from
aerial
images.
We
determine
photogrammetric
multi-view
reconstruction
topography.
Based
images
recorded
dedicated
grid
flights
facilitated
assumptions,
able
obtain
with
mean
deviation
3.5
cm
compared
manual
observations.
The
independent
color
sky
conditions,
an
advantage
over
recently
radiometric
airborne
retrieval
methods.
It
can
furthermore
be
implemented
any
typical
photogrammetry
workflow.
algorithm,
including
requirements
recording
survey
planning,
correction
refraction
at
air–pond
interface.
In
addition,
show
how
retrieved
topography
synergizes
initial
image
retrieve
water
level
individual
visually
determined
margins.
use
give
profound
overview
MOSAiC
floe,
found
unexpected
steady
volume.
properties
more
than
1600
their
size,
volume,
elevation
above
level,
temporal
scaling
single
measurements,
discuss
representativeness
measurements
importance
such
high-resolution
new
satellite
retrievals,
indications
non-rigid
bottoms.
study
points
out
great
potential
geometric
emerging
increasingly
available
visual
uncrewed
vehicles
(UAVs)
or
aircraft,
allowing
integrated
understanding
improved
formulation
thermodynamic
hydrological
models.
Elementa Science of the Anthropocene,
Год журнала:
2024,
Номер
12(1)
Опубликована: Янв. 1, 2024
Precise
measurements
of
Arctic
sea
ice
mass
balance
are
necessary
to
understand
the
rapidly
changing
cover
and
its
representation
in
climate
models.
During
Multidisciplinary
drifting
Observatory
for
Study
Climate
(MOSAiC)
expedition,
we
made
repeat
point
snow
thickness
on
primarily
level
first-
second-year
(FYI,
SYI)
using
ablation
stakes
gauges.
This
technique
enabled
us
distinguish
surface
bottom
(basal)
melt
characterize
importance
oceanic
versus
atmospheric
forcing.
We
also
evaluated
time
series
growth
context
other
MOSAiC
observations
historical
from
Surface
Heat
Budget
(SHEBA)
campaign
North
Pole
Environmental
(NPEO).
Despite
similar
freezing
degree
days,
average
at
was
greater
FYI
(1.67
m)
SYI
(1.23
than
SHEBA
(1.45
m,
0.53
m),
due
part
initially
thinner
conditions
MOSAiC.
Our
estimates
effective
thermal
conductivity,
which
agree
with
results
observations,
unlikely
explain
difference.
On
MOSAiC,
grew
more
faster
SYI,
demonstrating
a
feedback
loop
that
acts
increase
production
after
multi-year
loss.
(mean
0.50
NPEO
(0.18
considerable
spatial
variability
correlated
albedo
variability.
Basal
relatively
small
0.12
higher
(0.07
m).
Finally,
present
showing
false
bottoms
reduced
basal
rates
some
cases,
agreement
These
detailed
will
allow
further
investigation
into
connections
between
carefully
observed
energy
budget,
ocean
heat
fluxes,
ice,
ecosystem
during
campaigns.
IEEE Transactions on Geoscience and Remote Sensing,
Год журнала:
2023,
Номер
61, С. 1 - 22
Опубликована: Янв. 1, 2023
As
climate
warms
and
the
transition
from
a
perennial
to
seasonal
Arctic
sea-ice
cover
is
imminent,
understanding
melt
ponding
central
changes
in
new
Arctic.
NASA's
Ice,
Cloud
land
Elevation
Satellite
(ICESat-2)
has
capacity
provide
measurements
monitoring
of
onset
on
progression.
Yet
ponds
are
currently
not
identified
ICESat-2
standard
products,
which
only
single
surface
determined.
The
objective
this
paper
introduce
mathematical
algorithm
that
facilitates
automated
detection
ATLAS
data,
retrieval
two
heights,
pond
bottom,
depth
width
ponds.
With
Advanced
Topographic
Laser
Altimeter
System
(ATLAS),
carries
first
space-borne
multi-beam
micro-pulse
photon-counting
laser
altimeter
system,
operating
at
532
nm
frequency.
data
recorded
as
clouds
discrete
photon
points.
Density-Dimension
Algorithm
for
bifurcating
reflectors
(DDA-bifurcate-seaice)
an
auto-adaptive
solves
problem
near
0.7
m
nominal
along-track
spacing
utilizing
radial
basis
function
calculation
density
field
threshold
automatically
adapts
background,
apparent
reflectance
some
instrument
effects.
DDA-bifurcate-seaice
applied
large
sets
2019
2020
seasons
multi-year
region.
Results
evaluated
by
comparison
those
manually
forced
algorithm.
EarthArXiv (California Digital Library),
Год журнала:
2023,
Номер
unknown
Опубликована: Сен. 7, 2023
The
Multidisciplinary
drifting
Observatory
for
the
Study
of
Arctic
Climate
(MOSAiC,
2019--2020),
a
year-long
drift
with
sea
ice,
has
provided
scientific
community
an
unprecedented,
multidisciplinary
dataset
from
Eurasian
Ocean,
covering
high
atmosphere
to
deep
ocean
across
all
seasons.
However,
heterogeneity
data
and
superposition
spatial
temporal
variability,
intrinsic
campaign,
complicate
interpretation
observations.
In
this
study,
we
have
compiled
quality-controlled
physical
hydrographic
best
spatio-temporal
coverage
derived
core
parameters,
including
mixed
layer
depth,
heat
fluxes
over
key
layers,
friction
velocity.
We
provide
comprehensive
accessible
overview
conditions
encountered
along
MOSAiC
drift,
discuss
their
interdisciplinary
implications,
compare
common
climatologies
these
new
data.
Our
results
indicate
that,
most
part,
variability
was
dominated
by
regional
rather
than
seasonal
signals,
carrying
potentially
strong
implications
biogeochemistry,
ecology,
even
atmospheric
conditions.
Near-surface
properties
were
strongly
influenced
relative
position
sampling,
within
or
outside
river-water
Transpolar
Drift,
warming
meltwater
input.
Ventilation
down
Atlantic
Water
in
Nansen
Basin
allowed
stronger
connectivity
between
subsurface
ice
surface
via
elevated
upward
fluxes.
Yermak
Plateau
Fram
Strait
regions
characterized
heterogeneous
water
mass
distributions,
energetic
currents,
lateral
gradients
frontal
regions.
Together
presented
offer
context
research,
fostering
improved
understanding
complex,
coupled
System.
Elementa Science of the Anthropocene,
Год журнала:
2024,
Номер
12(1)
Опубликована: Янв. 1, 2024
The
reflection,
absorption,
and
transmittance
of
shortwave
solar
radiation
by
sea
ice
play
crucial
roles
in
physical
biological
processes
the
ice-covered
Arctic
Ocean
atmosphere.
These
sea-ice
optical
properties,
particularly
during
melt
season,
significantly
impact
energy
fluxes
within
total
budget
coupled
atmosphere-ice-ocean
system.
We
analyzed
data
from
autonomous
drifting
stations
to
investigate
seasonal
evolution
spectral
albedo,
transmittance,
absorptivity
for
different
sea-ice,
snow,
surface
conditions
measured
MOSAiC
expedition
2019–2020.
spatial
variability
these
properties
was
small
spring
increased
strongly
after
onset
on
May
26,
2020,
when
liquid
water
content
increased,
largely
accounting
enhanced
variability.
temporal
albedo
mostly
event-driven,
thus
containing
episodic
elements.
Melt
ponds
reduced
local
31%–45%.
Over
melting
single
ponding
events
deposition
35%
compared
adjacent
bare
ice.
Thus,
may
summer
as
much
over
1
month.
Absorptivity
showed
strong
variabilities
independently
conditions,
possibly
due
internal
under-ice
processes.
differences
shown
impacted
partitioning
radiation.
This
study
shows
that
formation
development
ponds,
reducing
a
third
sites,
can
notably
increase
heat
deposition.
vastly
evolutions,
timing
duration
need
be
considered
comparing
in-situ
observations
with
large-scale
satellite
remote
sensing
datasets,
which
we
suggest
help
improve
numerical
models.
The cryosphere,
Год журнала:
2023,
Номер
17(9), С. 3695 - 3719
Опубликована: Авг. 31, 2023
Abstract.
We
investigate
sea
ice
conditions
during
the
2020
melt
season,
when
warm
air
temperature
anomalies
in
spring
led
to
early
onset,
an
extended
and
second-lowest
September
minimum
Arctic
extent
observed.
focus
on
region
of
most
persistent
cover
examine
pond
depth
retrieved
from
Ice,
Cloud,
land
Elevation
Satellite-2
(ICESat-2)
using
two
distinct
algorithms
concert
with
a
time
series
fraction
concentration
derived
Sentinel-2
imagery
obtain
insights
about
melting
surface
three
dimensions.
find
study
increased
rapidly
June,
mean
peaking
at
16
%
±
6
24
June
2020,
followed
by
slow
decrease
8
3
July,
remained
below
10
for
remainder
season
through
15
September.
Sea
was
consistently
high
(>95
%)
beginning
until
4
as
floes
disintegrated,
it
decreased
70
30
July
then
became
more
variable,
ranging
75
90
season.
Pond
steadily
median
0.40
m
0.17
peaked
0.97
0.51
even
had
already
started
decrease.
Our
results
demonstrate
that
combining
high-resolution
passive
active
remote
sensing
we
now
have
ability
track
evolving
observe
changes
throughout
summer