Estimation of regional PM2.5 concentration in China based on fine-mode aerosol optical thickness (AODf) and study of influencing factors
Cheng Wan,
No information about this author
Haifeng Xu,
No information about this author
Wenhui Luo
No information about this author
et al.
Atmospheric Environment,
Journal Year:
2025,
Volume and Issue:
344, P. 121026 - 121026
Published: Jan. 2, 2025
Language: Английский
Investigation of full polarization characteristics of aerosols and cloud particles with Stokes lidar
Xirui Ma,
No information about this author
Zhao Hu,
No information about this author
Yun Zhang
No information about this author
et al.
Optics and Lasers in Engineering,
Journal Year:
2025,
Volume and Issue:
192, P. 109034 - 109034
Published: May 3, 2025
Language: Английский
Validation and Comparison of Long-Term Accuracy and Stability of Global Reanalysis and Satellite Retrieval AOD
Xin Su,
No information about this author
Huang Ge,
No information about this author
Lin Wang
No information about this author
et al.
Remote Sensing,
Journal Year:
2024,
Volume and Issue:
16(17), P. 3304 - 3304
Published: Sept. 5, 2024
Reanalysis
and
satellite
retrieval
are
two
primary
approaches
for
obtaining
large-scale
long-term
Aerosol
Optical
Depth
(AOD)
datasets.
This
study
evaluates
compares
the
accuracy,
stability,
error
characteristics
of
MERRA-2,
MODIS
combined
Dark
Target
Deep
Blue
(DT&DB),
VIIRS
DB
AOD
products
globally
regionally.
The
results
indicate
that
MERRA-2
exhibits
highest
accuracy
with
an
expected
(EE,
±0.05
±
20%)
83.24%
mean
absolute
(MAE)
0.056,
maintaining
a
stability
0.010
per
decade.
However,
since
ceased
assimilating
observations
other
than
in
2014,
its
decreased
by
approximately
5.6%
EE
metric
after
2014.
(DB)
product,
79.43%
0.016
decade,
is
slightly
less
accurate
stable
compared
to
AOD.
DT&DB
demonstrates
76.75%
0.011
Regionally,
performs
acceptably
most
areas,
especially
low-aerosol-loading
regions,
>
86%
~0.02
excels
high-aerosol-loading
such
as
Indian
subcontinent,
69.14%
0.049
performance
falls
between
across
regions.
Overall,
each
product
meets
metrics
globally,
but
users
need
select
appropriate
analysis
based
on
validation
different
Language: Английский
Retrieval of the Aerosol Scale Height over the Ocean Based on Near-infrared Multiangle Polarization Measurements
IEEE Transactions on Geoscience and Remote Sensing,
Journal Year:
2024,
Volume and Issue:
62, P. 1 - 16
Published: Jan. 1, 2024
Language: Английский
Characterisation of dust aerosols and their absorbing efficiency over South Asia using infrared observations from INSAT-3D Imager
Chaluparambil B. Lima,
No information about this author
S. S. Prijith,
No information about this author
S. Suresh Babu
No information about this author
et al.
International Journal of Remote Sensing,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 24
Published: Dec. 10, 2024
Radiative
impacts
of
dust
aerosols
exhibit
large
regional
and
temporal
heterogeneity,
despite
the
global
net
cooling
effect.
Hence,
accurate
assessment
aerosol
on
weather
climate
calls
for
their
Characterisation
its
proper
incorporation
in
models.
In
this
study,
distribution
effects
absorbing
efficiency
system
over
South
Asia
are
examined
using
Infrared
Difference
Dust
Index
(IDDI)
derived
from
Imager
onboard
ISRO's
INSAT-3D
satellite.
IDDI
estimated
agrees
well
(r
ranges
0.4
to
0.7)
with
optical
depth
(DAOD)
Moderate
Resolution
Imaging
Spectroradiometer
(MODIS)
Second
Modern-Era
Retrospective
analysis
Research
Applications
(MERRA-2).
This
shows
potential
parameter
diurnal
seasonal
evolutions.
Using
INSAT-3D,
study
further
examines
changes
characteristics
Indian
landmass
surrounding
oceanic
regions
during
severe
storm
episodes.
Spatial
prevailing
circulation
pattern
show
long
range
transport
particles
source
faraway
locations
events.
is
confirmed
by
presence
elevated
layers
high
particulate
depolarization
ratio,
observed
Cloud-Aerosol
Lidar
Orthogonal
Polarization
(CALIOP).
An
increase
observed,
due
these
transported
particles,
Asian
region.
(DAE)
about
20–25K
enhancement
radiation
absorption
wide
spread
a
vast
domain
would
significantly
alter
dynamics
systems
Asia,
especially
pre-monsoon
monsoon
seasons.
Language: Английский