Ground visibility prediction using tree-based and random-forest machine learning algorithm: Comparative study based on atmospheric pollution and atmospheric boundary layer data
Fuzeng Wang,
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Ruolan Liu,
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Hao Yan
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et al.
Atmospheric Pollution Research,
Journal Year:
2024,
Volume and Issue:
15(11), P. 102270 - 102270
Published: July 29, 2024
Language: Английский
Impact of Improved Surface Flux Parameterization on Simulation of Radiation Fog Formation in the Yangtze River Delta, China
Naifu Shao,
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Chunsong Lu,
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Yubin Li
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et al.
Journal of Geophysical Research Atmospheres,
Journal Year:
2025,
Volume and Issue:
130(9)
Published: April 30, 2025
Abstract
Meteorological
conditions
within
the
boundary
layer
play
significant
roles
in
radiation
fog
formation,
which
typically
occur
under
stable
conditions.
The
stratification
surface
are
represented
by
stability
parameter
(
ζ
),
calculated
as
ratio
of
reference
height
z
to
Monin‐Obukhov
length
L
(i.e.,
=
/
).
Current
schemes
exhibit
uncertainties
strong
>
1).
Grachev2007
scheme
for
1
and
Li2014
Li2015
calculating
implemented
into
Weather
Research
Forecasting
model
coupled
with
Chemistry
(WRF‐Chem).
Two
successive
events
Yangtze
River
Delta
simulated
compare
improved
default
scheme.
Both
high‐pressure
characterized
clear
sky
light
wind
during
nighttime.
results
indicate
that
dominate
before
improves
threat
scores
formation.
Regarding
flux,
due
reduced
thermal
resistance
parameterization,
increased
heat
exchange
enhances
cooling
from
sensible
flux
1,
is
conducive
turbulent
mixing,
dynamic
drag
reduces
speed
1.
This
weakens
contribution
shear
kinetic
energy,
ultimately
promoting
findings
this
paper
applicable
simulations
other
regions,
such
plain
areas
covered
grassland,
cropland,
or
vegetation,
providing
support
improving
simulation.
Language: Английский
Numeral simulation of impacts of sea land breeze on the formation and dissipation of the Bohai Sea fog
Atmospheric Research,
Journal Year:
2025,
Volume and Issue:
unknown, P. 108190 - 108190
Published: May 1, 2025
Language: Английский
High‐Resolution Simulation of Dense Fog in Tianjin City: Effect of Horizontal Resolutions From Mesoscale to Large Eddy Scale
Tian Meng,
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Shun Li,
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Wei Wei
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et al.
Meteorological Applications,
Journal Year:
2025,
Volume and Issue:
32(3)
Published: May 1, 2025
ABSTRACT
Fog
is
one
of
the
most
severe
weather
phenomena
affecting
safety
land,
sea,
and
air
transportation,
with
significant
impacts
on
national
economies.
This
study
investigates
a
dense
fog
event
visibility
less
than
50
m
that
occurred
in
Tianjin
city
from
December
19
to
20,
2016.
Using
large‐eddy
simulation
(LES)
capability
Weather
Research
Forecasting
(WRF)
model,
quadruple
one‐way
nesting
approach
was
applied
downscale
horizontal
resolution
5
1
km
at
mesoscale
200
40
scale,
providing
high‐resolution
simulations
this
event.
Combined
Himawari‐8
satellite
retrievals,
surface
meteorological
data,
255
tower
droplet
spectral
compares
performance
different
grid
resolutions
during
discusses
interaction
between
cloud
microphysics
parameterization
fine‐scale
turbulence
simulations.
The
results
reveal:
With
increasing
resolution,
model
becomes
more
sensitive
fluctuations
variables
within
layer,
resulting
pronounced
diurnal
variation
tendency
for
dissipate
readily.
At
m,
WRF‐LES
yields
smallest
errors
boundary
layer
temperature
humidity
profiles,
owing
its
ability
capture
structure
buoyancy
oscillations
top.
In
addition,
onset
dissipation
closely
linked
coordination
microphysical
parameterizations,
which
are
related
autoconversion
process.
Among
tested
schemes,
Purdue
Lin
scheme
shows
best
agreement
observed
results.
There
mutual
interactions
together
determine
accuracy
Language: Английский
Overestimated Fog-Top Entrainment in WRF Simulation Leading to Unrealistic Dissipation of Sea Fog: A Case Study
Remote Sensing,
Journal Year:
2024,
Volume and Issue:
16(10), P. 1656 - 1656
Published: May 7, 2024
Entrainment
at
the
top
of
planetary
boundary
layer
(PBL)
is
significant
importance
because
it
controls
upward
growth
PBL
height.
An
option
called
ysu_topdown_pblmix,
which
provides
a
parameterization
fog-top
entrainment,
has
been
proposed
for
valley
fog
modeling
and
introduced
into
YSU
(Yonsei
University)
scheme
in
Weather
Research
Forecasting
(WRF)
model.
However,
enabling
this
simulations
sea
over
Yellow
Sea
typically
results
unrealistic
dissipation
near
bottom
even
within
entire
layer.
In
study,
we
theoretically
examine
composition
then
argue
that
one
term
might
be
redundant
sea-fog
modeling.
The
variables
are
employed
to
determine
basic
entrainment
dry
PBL,
already
parameterized
by
surface
original
scheme.
This
likely
leads
an
overestimation
rate,
so
refer
as
redundant.
To
explore
connection
between
dissipation,
widespread
episode
case
study
based
on
WRF
simulation
clearly
attribute
extra
rate
induces.
Fog-top
unexpectedly
overestimated
due
resulting
significantly
drier
warmer
bias
interior
fog.
When
develops
reaches
temperature
lower
than
surface,
functions
warming
source
heat
jointly
with
downward
flux
brought
leading
initially
occur
gradually
expand
upwards.
We
suggest
straightforward
method
modify
ysu_topdown_pblmix
eliminates
term.
improvement
effect
was
supported
sensitivity
tests.
more
cases
required
validate
modification
method.
Language: Английский