Climate Dynamics,
Journal Year:
2024,
Volume and Issue:
63(1)
Published: Nov. 26, 2024
Abstract
The
climate
of
western
Europe
and
northwest
Africa
strongly
depends
on
the
Azores
anticyclone
strength,
location,
shape
and,
locally,
also
characteristics
Iberia
Sahara
summer
thermal
lows.
EC-EARTH3
global
simulations
are
here
used
to
assess
predicted
behaviour
these
two
relevant
surface
pressure
systems
associated
wind,
by
end
XXI
century
(2071–2100),
considering
change
scenarios.
Additionally,
a
high-resolution
Weather
Research
Forecasting
(WRF)
simulation
centred
Madeira
Island
is
influence
wind
at
smaller
scales,
in
region
well
known
for
its
perturbed
flows.
Results
indicate
general
mean
speed
decrease
over
sector
North-Atlantic,
with
flatter
anticyclone.
However,
intensification
lows
imposes
an
increasing
near
west
Africa,
summer.
Southwest
Iberia,
experience
tip-jets.
projected
changes
low-level
variability
will
impact
different
sectors
activity,
either
directly
as
cases
aeronautical
operation
offshore
renewable
energy,
or
indirectly
through
ocean
circulation.
Abstract
Historical
trends
in
the
direction
and
magnitude
of
ocean
surface
wave
height,
period,
or
are
debated
due
to
diverse
data,
time-periods,
methodologies.
Using
a
consistent
community-driven
ensemble
global
products,
we
quantify
establish
regions
with
robust
multivariate
fields
between
1980
2014.
We
find
that
about
30–40%
experienced
seasonal
mean
extreme
direction.
Most
Southern
Hemisphere
exhibited
strong
upward-trending
heights
(1–2
cm
per
year)
periods
during
winter
summer.
Ocean
basins
positive
far
larger
than
those
negative
trends.
calculated
over
shorter
generally
agree
satellite
records
but
vary
from
product
product,
some
showing
consistently
bias.
Variability
across
products
time-periods
highlights
importance
considering
multiple
sources
when
seeking
change
analyses.
Energies,
Journal Year:
2025,
Volume and Issue:
18(5), P. 1108 - 1108
Published: Feb. 24, 2025
Offshore
wind
resources
in
China
and
Europe
are
systematically
compared,
focusing
on
speed
characteristics
the
selection
of
optimal
probability
distribution
models.
Using
20
years
data
at
10
m
100
above
sea
level,
seven
unimodal
models
were
applied.
The
results
point
out
that
China’s
offshore
exhibit
high
spatial
temporal
variability,
influenced
by
monsoons
typhoons,
while
European
seas
characterized
stable
patterns.
Among
tested,
Weibull
is
most
accurate
one
for
fitting,
Generalized
Extreme
Value
Gamma
perform
better
regions
with
higher
skewness
extreme
events.
This
study
highlights
importance
characteristics,
such
as
kurtosis,
selecting
model.
These
findings
provide
valuable
guidance
improvement
energy
assessments
appropriate
Future
research
should
explore
advanced
techniques,
machine
learning
hybrid
models,
to
capture
complex
patterns
enhance
model
accuracy.
Journal of Marine Science and Engineering,
Journal Year:
2023,
Volume and Issue:
11(2), P. 435 - 435
Published: Feb. 16, 2023
In
recent
years,
wave
energy
has
gained
attention
for
its
sustainability
and
cleanliness.
As
one
of
the
most
important
parameters
energy,
significant
height
(SWH)
is
difficult
to
accurately
predict
due
complex
ocean
conditions
ubiquitous
chaotic
phenomena
in
nature.
Therefore,
this
paper
proposes
an
integrated
CEEMDAN-LSTM
joint
model.
Traditional
computational
fluid
dynamics
(CFD)
a
long
calculation
period
high
capital
consumption,
but
artificial
intelligence
methods
have
advantage
accuracy
fast
convergence.
CEEMDAN
commonly
used
method
digital
signal
processing
mechanical
engineering,
not
yet
been
SWH
prediction.
It
better
performance
than
EMD
EEMD
more
suitable
LSTM
addition,
also
novel
filter
formulation
outliers
based
on
improved
violin-box
plot.
The
final
empirical
results
show
that
significantly
outperforms
each
forecast
duration,
improving
prediction
accuracy.
particular,
duration
1
h,
improvement
over
LSTM,
with
71.91%
RMSE,
68.46%
MAE
6.80%
NSE,
respectively.
summary,
our
model
can
improve
real-time
scheduling
capability
marine
engineering
maintenance
operations.
Journal of Physics Conference Series,
Journal Year:
2025,
Volume and Issue:
2935(1), P. 012014 - 012014
Published: Jan. 1, 2025
Abstract
This
paper
aims
to
rely
on
CYGNSS
data
propose
a
random
forest-based
wind
speed
retrieval
method
that
considers
barometric
pressure
as
pivotal
factor.
Taking
the
Hawaiian
Islands
and
peripheral
waters
subject,
research
conducts
systematic
analysis
of
spatial-temporal
variation
characteristics
speeds.
In
this
case,
an
innovative
forest
(RF)
model
is
built
trained,
with
longitude,
latitude,
time,
normalized
bistatic
radar
scattering
cross
section
(NBRCS),
leading-edge
slope
(LES),
input
features,
measured
buoy
speeds
target
variable.
The
results
show
introduction
can
significantly
improve
accuracy
retrieval,
raising
correlation
above
0.8
reducing
root
mean
square
error
(RMS)
by
more
than
40%.
RF
(pressure)
performs
best
when
system
changes
dynamically,
such
in
winter.
Islands,
moreover,
exhibit
notable
spatial
variations
across
seasons.
are
generally
stable
moderate
spring
autumn.
winter,
northern
northwestern
regions
reach
highest
level.
summer,
southeastern
region
come
significant
decrease.
These
findings
reveal
complex
influences
gradients
like
subtropical
high
Aleutian
Low,
well
topography
ocean
currents,
speeds,
providing
scientific
basis
for
understanding
regional
climatic
dynamics
energy
resource
development.
