Atmosphere,
Journal Year:
2024,
Volume and Issue:
15(1), P. 86 - 86
Published: Jan. 9, 2024
Accurate
sea
surface
temperature
(SST)
prediction
is
vital
for
disaster
prevention,
ocean
circulation,
and
climate
change.
Traditional
SST
methods,
predominantly
reliant
on
time-intensive
numerical
models,
face
challenges
in
terms
of
speed
efficiency.
In
this
study,
we
developed
a
novel
deep
learning
approach
using
3D
U-Net
structure
with
multi-source
data
to
forecast
the
South
China
Sea
(SCS).
SST,
height
anomaly
(SSHA),
wind
(SSW)
were
used
as
input
variables.
Compared
convolutional
long
short-term
memory
(ConvLSTM)
model,
model
achieved
more
accurate
predictions
at
all
lead
times
(from
1
30
days)
performed
better
different
seasons.
Spatially,
model’s
exhibited
low
errors
(RMSE
<
0.5
°C)
high
correlation
(R
>
0.9)
across
most
SCS.
The
spatially
averaged
time
series
both
predicted
by
observed
2021,
showed
remarkable
consistency.
A
noteworthy
application
research
was
successful
detection
marine
heat
wave
(MHW)
events
SCS
2021.
accurately
captured
occurrence
frequency,
total
duration,
average
cumulative
intensity
MHW
events,
aligning
closely
data.
Sensitive
experiments
that
SSHA
SSW
have
significant
impacts
which
can
improve
accuracy
play
roles
periods.
combination
variables,
not
only
rapidly
but
also
presented
method
forecasting
highlighting
its
potential
advantages.
Journal of Climate,
Journal Year:
2021,
Volume and Issue:
35(2), P. 877 - 893
Published: Nov. 12, 2021
Abstract
Marine
heatwaves
(MHWs)
in
the
South
China
Sea
(SCS)
have
dramatic
impacts
on
local
ecosystems,
fisheries,
and
aquacultures.
Our
results
show
that
SCS
MHWs
were
strongly
regulated
by
El
Niño–Southern
Oscillation
(ENSO)
with
a
distinct
life
cycle
during
1982–2018.
Based
ENSO-associated
sea
surface
temperature
anomaly
(SSTA)
warming
peaks
SCS,
we
can
classify
into
three
categories:
Niño-P1
first
peak
of
Niño
from
September
to
following
February,
Niño-P2
second
June
September,
La
Niña-P1
single
Niña
February
May.
The
types
are
all
affected
lower-level
enhanced
anticyclone
over
western
North
Pacific
(WNP),
but
their
physical
mechanisms
quite
different.
In
Niño-P1,
mostly
induced
net
downward
shortwave
radiation
reduced
latent
heat
flux
loss
southwestern
northern
respectively.
Niño-P2,
primarily
attributed
weaker
entrainment
cooling
caused
stronger
Ekman
downwelling
central-northern
SCS.
However,
Niña-P1,
mainly
contributed
due
WNP
centered
east
Philippines
pentad
time
scale.
spatial
distributions
phase
locking
SSTA
warming,
which
provides
potential
seasonal
forecast
according
ENSO
phase.
Advances in Climate Change Research,
Journal Year:
2022,
Volume and Issue:
13(3), P. 323 - 332
Published: April 12, 2022
Marine
heatwaves
(MHWs)
have
been
frequently
observed
worldwide,
causing
devastating
impacts
on
marine
organisms
and
ecosystems,
but
the
trend
of
MHWs
is
still
unclear
in
South
China
Sea
(SCS).
Here,
long-term
inter-annual
variability
summer
SCS
MHW
events
are
investigated
based
high-resolution
daily
satellite
data.
The
results
revealed
remarkable
increases
duration,
intensity,
coverage,
severity
during
1982–2019,
indicating
that
become
more
frequent,
intense,
extensive,
serious.
probability
ratio
four
times
2010s
1980s.
increasing
can
be
largely
attributed
to
increase
mean
temperature.
linked
closely
El
Niño
Southern
Oscillation,
with
more/less
occurring
following
after
Niño/La
Niña
events.
A
diagnosis
synoptic-scale
heat
budget
suggests
extreme
warming
explained
by
combined
effects
positive
surface
flux
due
enhanced
shortwave
radiation
convergence
oceanic
advection
association
an
anomalous
upper-ocean
anticyclone.
effect
seems
predominant
over
large
spatial
whereas
transport
also
important
some
specific
regions.
large-scale
anticyclonic
circulation
anomalies
northwestern
Pacific
accompanying
westward-extending
western
subtropical
high
decay
summers
play
essential
role
building-up
persistence
warming,
which
has
implications
for
prediction
MHWs.
Environmental Research Letters,
Journal Year:
2023,
Volume and Issue:
18(6), P. 064015 - 064015
Published: May 4, 2023
Abstract
In
2022,
record-breaking
long-lasting
marine
heatwaves
(MHWs)
occurred
in
the
East
China
Sea
(ECS),
which
persisted
for
62
d
during
boreal
summer.
This
exceeded
average
MHWs
duration
of
10
by
a
factor
6.
addition,
2022
was
also
recorded
as
year
many
extreme
events
throughout
Asia,
such
summer
floods
and
Pakistan,
droughts
heat
Europe,
raising
question
whether
they
were
caused
‘triple-dip’
La
Niña,
has
since
September
2020.
Here
we
examine
key
local
remote
processes
that
led
to
ECS
using
mixed-layer
budget
analysis.
During
onset
MHWs,
salinity-stratified
shallow
due
large
river
discharge
from
Yangtze–Huaihe
River
June
created
favorable
conditions
warm
ocean
temperature
ECS.
Simultaneously,
an
anomalous
anticyclone
maintained
stationary
Rossby
wave,
is
generated
vorticity
forcings
mid-latitudes
thermal
forcing
settled
corresponding
region
until
Typhoon
Hinnamnor
began
dissipate
wave
early
September.
study
improves
our
understanding
physical
mechanism
flood-related
have
increased
with
recent
climate
change.
Abstract
Marine
heatwaves
have
profoundly
impacted
marine
ecosystems
over
large
areas
of
the
world
oceans,
calling
for
improved
understanding
their
dynamics
and
predictability.
Here,
we
critically
review
recent
substantial
advances
in
this
active
area
research,
including
exploration
three-dimensional
structure
evolution
these
extremes,
drivers,
connection
with
other
extremes
ocean
land,
future
projections,
assessment
predictability
current
prediction
skill.
To
make
progress
on
predicting
projecting
impacts,
a
more
complete
mechanistic
full
depth
at
relevant
spatial
temporal
scales
is
needed,
together
models
that
can
realistically
capture
leading
mechanisms
those
scales.
Sustained
observing
systems,
as
well
measuring
platforms
be
rapidly
deployed,
are
essential
to
achieve
comprehensive
event
characterizations
while
also
chronicling
evolving
nature
impacts
our
changing
climate.
Journal of Geophysical Research Oceans,
Journal Year:
2025,
Volume and Issue:
130(3)
Published: March 1, 2025
Abstract
This
study
utilizes
multiple
observational
and
reanalysis
data
sets
to
investigate
the
contrasting
effects
of
Eastern
Pacific
(EP)
Central
(CP)
El
Niño
on
interannual
variations
marine
heatwaves
(MHWs)
in
South
China
Sea
(SCS)
from
developing
autumn
decaying
summer
Niño.
EP
is
associated
with
more
frequent,
intense,
prolonged
MHWs
throughout
its
life
cycle,
while
CP
linked
a
general
decrease
MHW
characteristics,
except
summer.
During
Niño,
an
anomalous
anticyclone
over
SCS
during
induces
warming
mainly
by
increasing
shortwave
radiation
diminishing
latent
heat
release,
fostering
development.
The
persists
into
summer,
intensified
influence
western
North
subtropical
high
(WNPSH).
Reduced
are
primarily
attributed
cooling
early
cessation
connected
enhanced
Ekman
upwelling,
negative
horizontal
advection
caused
cyclone
around
SCS.
fade
due
northeastward
shift
WNPSH
compared
scenario,
which
reduces
ability
warm
sea
surface
temperature
(SST)
evolutions
events
highlight
thermal
status
as
critical
factors
for
occurrence
persistence,
underscoring
necessity
assess
state
preceding
SST
increases
research.
Journal of Physical Oceanography,
Journal Year:
2022,
Volume and Issue:
52(5), P. 917 - 927
Published: Feb. 16, 2022
Abstract
The
properties
and
heat
budget
of
marine
waves
(MHWs)
on
the
northern
South
China
Sea
(SCS)
continental
shelf
are
investigated.
MHWs
with
warming
amplitudes
above
1.5°C
occur
mainly
along
coast,
their
temperature
anomaly
decreases
toward
open
sea.
1°–1.5°C
duration
<
20
days
dominate
SCS
shelf.
A
analysis
indicates
that
main
source
is
sea
surface
net
flux.
Oceanic
processes
dominated
by
advection
mean
anomalous
horizontal
velocity
(advha).
contribution
advha
always
cools
upper
layer
ocean,
resulting
in
decay
MHWs.
Active
cross-slope
water
exchanges
exist
at
east
west
sides
edge,
which
makes
dominant
contributions
to
advha.
In
MHW
developing
phase,
(east)
side
a
positive
(negative)
both
make
negative
advha,
rapid
Although
varies
its
effect
over
These
results
provide
new
insight
into
characteristics
formation
mechanism
shelf;
particular,
they
clarify
respective
air–sea
flux
oceanic
Significance
Statement
Marine
unusual
events
oceans
heavily
affect
ecosystems
arouse
great
concern
from
citizens.
active
On
shelf,
MHWs,
ocean
current
anomalies
cool
ocean.
exchange
edge
way
eventually
Remote Sensing,
Journal Year:
2023,
Volume and Issue:
15(6), P. 1656 - 1656
Published: March 18, 2023
Sea
surface
temperature
is
an
important
physical
parameter
in
marine
research.
Accurate
prediction
of
sea
for
coping
with
climate
change,
ecological
protection,
and
economic
development.
In
this
study,
the
SST
performance
ConvLSTM
ST-ConvLSTM
different
input
lengths,
hidden
sizes
investigated.
The
experimental
results
show
that:
(1)
length
has
impact
on
SST,
but
it
does
not
mean
that
longer
length,
better
performance.
have
best
when
set
to
1,
gradually
decreases
as
increases.
(2)
Prediction
affects
prediction.
As
increases,
decreases.
When
other
parameters
are
kept
constant
only
changed,
gets
result
2,
1.
(3)
setting
size
a
great
influence
ability
temperature,
cannot
be
blindly.
For
ST-ConvLSTM,
although
128
than
64,
consequent
computational
cost
increases
by
about
50%,
improves
10%.