Abstract.
A
multi-scale
modeling
ensemble
chain
has
been
assembled
as
a
first
step
towards
an
Air
Quality
forecasting
system
for
Latin
America.
Two
global
and
three
regional
models
were
tested
compared
over
shared
domain
(120W–28W,
60S–30N)
to
simulate
January
July
of
2015.
Observations
from
local
air
quality
monitoring
networks
in
Colombia,
Chile,
Brazil,
México,
Ecuador
Peru
used
model
evaluation.
The
generally
agreed
with
observations
large
cities
such
México
City
São
Paulo,
whereas
representing
smaller
urban
areas,
Bogotá
Santiago,
was
more
challenging.
For
instance,
during
wintertime,
the
simulations
showed
discrepancies
observations.
No
single
had
best
performance
among
pollutants
sites
available.
Ozone
NO2
reproduced
better
than
other
across
SO2
most
difficult.
ensemble,
created
median
value
individual
models,
evaluated
well.
In
some
cases,
results
mitigated
extreme
over-
or
underestimation
certain
demonstrating
potential
establish
analysis
forecast
This
study
identified
limitations
emissions
inventories,
which
should
be
addressed
involvement
experience
researchers.
ISPRS International Journal of Geo-Information,
Год журнала:
2023,
Номер
12(10), С. 436 - 436
Опубликована: Окт. 23, 2023
Recent
times
have
witnessed
wildfires
causing
harm
to
both
ecological
communities
and
urban–rural
regions,
underscoring
the
necessity
comprehend
wildfire
triggers
assess
measures
for
mitigation.
This
research
hones
in
on
Cartagena
del
Chairá,
diving
into
interplay
between
meteorological
conditions
land
cover/use
that
cultivates
a
conducive
environment
wildfires.
Meteorologically,
prevalence
of
is
concentrated
during
boreal
winter,
characterized
by
warm
dry
air,
strong
winds,
negligible
precipitation.
Additionally,
gravitate
toward
river-adjacent
locales
housing
agriculture-linked
shrubs,
notably
northern
part
zone,
where
confluence
attributes
factors
synergize
promote
fire
incidents.
Employing
climate
scenarios,
we
deduced
elevated
temperature
reduced
humidity
augment
susceptibility,
while
wind
speed
precipitation
discourage
their
propagation
across
most
scenarios.
The
trajectory
warmer
could
instigate
fire-friendly
summer,
indicating
potential
year-round
susceptibility.
Subsequently,
via
machine-learning-driven
sensitivity
analysis,
discerned
among
scrutinized
socio-economic
variables,
GINI,
low
educational
attainment,
displacement
armed
groups
wield
substantial
influence
occurrence.
Ultimately,
these
findings
converge
shape
proposed
mitigation
strategies
amalgamate
existing
practices
with
enhancements
or
supplementary
approaches.
Geoscientific model development,
Год журнала:
2024,
Номер
17(20), С. 7467 - 7512
Опубликована: Окт. 28, 2024
Abstract.
A
multiscale
modeling
ensemble
chain
has
been
assembled
as
a
first
step
towards
an
air
quality
analysis
and
forecasting
(AQF)
system
for
Latin
America.
Two
global
three
regional
models
were
tested
compared
in
retrospective
mode
over
shared
domain
(120–28°
W,
60°
S–30°
N)
the
months
of
January
July
2015.
The
objective
this
experiment
was
to
understand
their
performance
characterize
errors.
Observations
from
local
monitoring
networks
Colombia,
Chile,
Brazil,
Mexico,
Ecuador
Peru
used
model
evaluation.
generally
agreed
with
observations
large
cities
such
Mexico
City
São
Paulo,
whereas
representing
smaller
urban
areas,
Bogotá
Santiago,
more
challenging.
For
instance,
Santiago
during
wintertime,
simulations
showed
discrepancies
observations.
No
single
demonstrated
superior
others
or
among
pollutants
sites
available.
In
general,
ozone
NO2
exhibited
lowest
bias
errors,
especially
Paulo
City.
SO2,
error
close
200
%,
except
Bogotá.
ensemble,
created
median
value
all
models,
evaluated
well.
some
cases,
outperformed
individual
mitigated
extreme
over-
underestimation.
However,
research
is
needed
before
concluding
that
path
AQF
This
study
identified
certain
limitations
emission
inventories,
which
should
be
addressed
involvement
experience
researchers.
Journal of Advances in Modeling Earth Systems,
Год журнала:
2025,
Номер
17(3)
Опубликована: Март 1, 2025
Abstract
Recently,
Biagioli
and
Tompkins
(2023,
https://doi.org/10.1029/2022ms003231
)
used
a
simple
stochastic
model
to
derive
dimensionless
parameter
predict
convective
self
aggregation
(SA)
development,
which
was
based
on
the
derivation
of
maximum
free
distance
expected
in
pre‐aggregated,
random
state.
Our
goal
is
test
further
investigate
this
hypothesis,
namely
that
can
SA
occurrence,
using
an
ensemble
24
distinct
combinations
horizontal
mixing,
planetary
boundary
layer
(PBL),
microphysical
parameterizations.
We
conclude
key
impact
parameterization
schemes
through
their
control
number
cores
relative
spacing,
,
itself
impacted
by
cold‐pool
(CP)
properties
mean
updraft
core
size.
more
likely
when
count
small,
while
CPs
modify
spacing
via
suppression
interiors
triggering
gust‐front
convergence
collisions.
Each
scheme
emphasizes
different
mechanism.
Subgrid‐scale
turbulent
mixing
mainly
affects
determination
size
thus
spacing.
The
sensitivity
microphysics
rain
evaporation
subsequent
CPs,
perturbations
ice
cloud
have
limited
effect.
Non‐local
PBL
promote
primarily
increasing
inhibition
inversion
entrainment
altering
low
amounts,
leading
fewer
larger
.
Atmosphere,
Год журнала:
2025,
Номер
16(4), С. 439 - 439
Опубликована: Апрель 9, 2025
Efficiently
mapping
hourly
air
quality
at
a
fine
scale
(25
m)
remains
computational
challenge.
This
difficulty
is
heightened
when
aiming
to
accurately
capture
industrial
plumes
and
time-varying
traffic
emissions.
paper
presents
method
for
generating
pollutant
concentration
maps
across
an
entire
region
operational
applications.
Our
approach
assumes
that
can
be
decomposed
into
three
components:
concentrations,
concentrations
residual
“background”
component.
The
background
estimated
using
established
fine-scale
methods
involving
ADMS-Urban
dispersion
simulations.
Meanwhile,
the
layers
are
derived
KNN-based
applied
sample
of
enhances
representation
temporal
variability
in
emissions
while
maintaining
efficiency,
making
it
suitable
production
Hauts-de-France
(France).
