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
one-year
drift
campaign
MOSAiC
Transpolar
Drift
2019/2020.
Pond
depth
is
dominating
factor
description
surface
meltwater
volume,
necessary
to
estimate
budgets,
used
model
parametrization
simulate
pond
coverage
evolution.
However,
observational
data
on
spatially
temporally
strongly
limited
few
situ
measurements.
bathymetry,
which
fully
resolved,
remains
entirely
unexplored.
Here,
we
present
newly
developed
method
derive
bathymetry
from
aerial
images.
We
determine
it
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
for
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
floe,
found
unexpected
steady
volume.
properties
more
than
1600
their
size,
elevation
above
level,
temporal
scaling
single
measurements,
discuss
representativeness
indications
non-rigid
bottoms.
study
points
out
great
potential
geometric
sea-ice
emerging
increasingly
available
visual
UAVs
or
aircraft,
allowing
integrated
understanding
improved
formulation
thermodynamic
hydrological
models.
Elementa Science of the Anthropocene,
Journal Year:
2023,
Volume and Issue:
11(1)
Published: Jan. 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.
Journal of Geophysical Research Atmospheres,
Journal Year:
2025,
Volume and Issue:
130(6)
Published: March 10, 2025
Abstract
The
Arctic
surface
energy
budget
(SEB)
couples
the
atmosphere
with
sea
ice,
making
it
useful
for
both
studying
processes
as
well
evaluating
models.
Improved
understanding
of
atmosphere‐ice
interactions
is
required
to
improve
models,
requiring
year‐round
observations
address
seasonally
dependent
biases.
This
work
uses
novel
from
MOSAiC
expedition
quantify
responses
fluxes
radiative
forcing
over
ice
throughout
a
complete
annual
cycle.
We
identify
two
primary
regimes
flux
response:
an
growth
regime
in
winter
and
melt
summer.
In
regime,
changes
impact
upwelling
longwave,
sensible
heat,
subsurface
heat
fluxes,
whereas
primarily
alter
amount
transmission
because
temperature
fixed.
These
observed
are
used
evaluate
seven
weather
forecast
models
during
regime.
most
do
not
match
observations.
Many
also
have
biased
downwelling
longwave.
One
model
(the
Coupled
Forecast
System;
CAFS)
adequately
captures
mean
winter.
CAFS
further
evaluated
against
spanning
full
year,
demonstrating
sufficient
agreement
provide
more
generalized
these
SEB
process
relationships
across
Arctic.
The cryosphere,
Journal Year:
2024,
Volume and Issue:
18(7), P. 2991 - 3015
Published: July 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,
Journal Year:
2024,
Volume and Issue:
12(1)
Published: Jan. 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.
Geophysical Research Letters,
Journal Year:
2025,
Volume and Issue:
52(9)
Published: May 8, 2025
Abstract
Sea‐ice
melt
ponds
form
in
the
depressions
of
pre‐melt
surface
topography,
a
process
widely
accepted
yet
lacking
larger‐scale
evaluation
through
explicit
comparisons.
During
MOSAiC,
we
collected
multi‐dimensional
aerial
data
to
examine
relationship
between
topography
and
pond
evolution
across
an
entire
Arctic
ice
floe.
Using
hydrological
models,
analyze
correlation
potential
meltwater
accumulation
areas
identified
winter
spring
topographies,
available
meltwater,
observed
coverage.
Our
findings
demonstrate
strong
connection,
revealing
72%
accuracy
matching
low
ponds,
with
98%
basins
deeper
than
0.5
m
transforming
into
ponds.
Incorporating
assumptions
regarding
availability
improve
predictions
fraction
highlight
key
factors
driving
extensive
lateral
runoff
networks
on
No
significant
differences
are
first‐
second‐year
ice.
This
study
provides
valuable
ground
truth
for
future
modeling
measurements
formation.
In
this
study,
we
investigated
specific
components
and
intra-seasonal
dynamic
processes
that
play
pivotal
roles
in
the
East
Antarctica's
central
Dronning
Maud
Land
(cDML)
region.
The
present
study
focuses
on
harnessing
potential
of
a
multispectral
sensor-based
Unmanned
Aerial
Vehicle
(UAV)
for
cryosphere
studies
over
polar
ice
sheet
cDML
(Schirmacher
Oasis)
region
Antarctica,
conducted
as
part
42nd
43rd
Indian
Scientific
Expedition
to
Antarctica
(ISEA),
under
aegis
National
Centre
Polar
Ocean
Research
(NCPOR),
Ministry
Earth
Sciences,
Government
India,
during
austral
summer
period
from
2022
2023.
surveyed
area
(~100
acres)
encompasses
segment
frontal
edge
outer
margin,
situated
near
Maitri
research
base
at
Schirmacheroasen,
includes
melt
pond/supraglacial
lake.
results
indicate
experienced
decrease
elevation
0.25
meters
with
total
mass
reduction
13.6
kilotons
one-week
period.
supraglacial
lake
accumulated
meltwater
an
average
depth
ranging
1.6
meters,
covering
spanning
9.1
×
103
square
24.7
meters.
ultra-high
resolution
UAV
data
also
revealed
changes
various
cryo-facies
classes,
including
water
bodies/meltwater,
frozen
meltwater,
dry
wet
snow,
debris/bare
ice,
bedrock
area.
This
represents
pioneering
effort
assessing
both
spatial
temporal
scales.
It
marks
first
application
surveying
techniques
integration
in-situ
Pressure
Sensor
Assembly
(PSA)
examine
understand
its
complex
dynamics
characteristics.
team
is
group
employ
UAVs
scientific
Antarctic
region,
which
notable
advancement
exploration
contributes
expanding
knowledge
Computational Thermal Sciences An International Journal,
Journal Year:
2024,
Volume and Issue:
16(6), P. 21 - 43
Published: Jan. 1, 2024
Solar
heating
and
ice
melting
on
the
water
surface
is
an
important
geophysical
problem
that
has
attracted
attention
of
researchers
for
many
years.
It
essential
in
connection
with
global
climate
change
our
planet.
A
simple
sufficiently
accurate
physical
model
process
proposed,
combining
analytical
solutions
solar
radiation
transfer
light-scattering
snow
cover
layer
numerical
calculations
transient
heat
a
multilayer
system.
The
boundary
conditions
consider
convective
losses
to
cold
air
radiative
cooling
open
mid-infrared
window
transparency
cloudless
atmosphere.
Much
paid
modeling
anomalous
spring
covering
large
high-mountain
lakes
Tibet,
Earth's
third
pole.
was
found
thick
not
covered
starts
melt
at
ice-water
interface
due
volumetric
ice.
results
are
good
agreement
field
observations.
computational
analysis
shows
dramatic
when
snow.
qualitative
picture
occurs
thickness
increases
20-30
cm.
In
this
case,
precedes
ponds
formed
ice's
surface.
This
typical
situation
Arctic
Sea
during
polar
summer.
Known
experimental
data
used
estimate
sea
under
pond.
Positive
or
negative
feedback
related
specific
optical
thermal
properties
snow,
ice,
discussed.
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
one-year
drift
campaign
MOSAiC
Transpolar
Drift
2019/2020.
Pond
depth
is
dominating
factor
description
surface
meltwater
volume,
necessary
to
estimate
budgets,
used
model
parametrization
simulate
pond
coverage
evolution.
However,
observational
data
on
spatially
temporally
strongly
limited
few
situ
measurements.
bathymetry,
which
fully
resolved,
remains
entirely
unexplored.
Here,
we
present
newly
developed
method
derive
bathymetry
from
aerial
images.
We
determine
it
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
for
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
floe,
found
unexpected
steady
volume.
properties
more
than
1600
their
size,
elevation
above
level,
temporal
scaling
single
measurements,
discuss
representativeness
indications
non-rigid
bottoms.
study
points
out
great
potential
geometric
sea-ice
emerging
increasingly
available
visual
UAVs
or
aircraft,
allowing
integrated
understanding
improved
formulation
thermodynamic
hydrological
models.