Scientific Data,
Journal Year:
2017,
Volume and Issue:
4(1)
Published: March 13, 2017
Cloud
condensation
nuclei
(CCN)
number
concentrations
alongside
with
submicrometer
particle
size
distributions
and
chemical
composition
have
been
measured
at
atmospheric
observatories
of
the
Aerosols,
Clouds,
Trace
gases
Research
InfraStructure
(ACTRIS)
as
well
other
international
sites
over
multiple
years.
Here,
harmonized
data
records
from
11
are
summarized,
spanning
98,677
instrument
hours
for
CCN
data,
157,880
distributions,
70,817
data.
The
represent
nine
different
environments,
e.g.,
Arctic,
Atlantic,
Pacific
Mediterranean
maritime,
boreal
forest,
or
high
alpine
conditions.
This
is
a
unique
collection
aerosol
properties
most
relevant
studying
aerosol-cloud
interactions
which
constitute
largest
uncertainty
in
anthropogenic
radiative
forcing
climate.
dataset
appropriate
comprehensive
characterization
(e.g.,
closure
studies
CCN),
model-measurement
intercomparison
satellite
retrieval
method
evaluation,
among
others.
Data
acquired
processed
following
recommendations
quality
assurance
undergone
stages
assessment.
Reviews of Geophysics,
Journal Year:
2017,
Volume and Issue:
55(2), P. 509 - 559
Published: May 18, 2017
Abstract
Anthropogenic
emissions
and
land
use
changes
have
modified
atmospheric
aerosol
concentrations
size
distributions
over
time.
Understanding
preindustrial
conditions
in
organic
due
to
anthropogenic
activities
is
important
because
these
features
(1)
influence
estimates
of
radiative
forcing
(2)
can
confound
the
historical
response
climate
increases
greenhouse
gases.
Secondary
(SOA),
formed
atmosphere
by
oxidation
gases,
represents
a
major
fraction
global
submicron‐sized
aerosol.
Over
past
decade,
significant
advances
understanding
SOA
properties
formation
mechanisms
occurred
through
measurements,
yet
current
models
typically
do
not
comprehensively
include
all
processes.
This
review
summarizes
some
developments
during
decade
formation.
We
highlight
importance
processes
that
growth
particles
sizes
relevant
for
clouds
forcing,
including
extremely
low
volatility
organics
gas
phase,
acid‐catalyzed
multiphase
chemistry
isoprene
epoxydiols,
particle‐phase
oligomerization,
physical
such
as
viscosity.
Several
highlighted
this
are
complex
interdependent
nonlinear
effects
on
properties,
formation,
evolution
SOA.
Current
neglect
complexity
nonlinearity
thus
less
likely
accurately
predict
project
future
sensitivity
Efforts
also
needed
rank
most
influential
process‐related
interactions,
so
be
represented
chemistry‐climate
models.
Atmospheric chemistry and physics,
Journal Year:
2019,
Volume and Issue:
19(13), P. 8523 - 8546
Published: July 4, 2019
Abstract.
Since
the
publication
of
compilation
biomass
burning
emission
factors
by
Andreae
and
Merlet
(2001),
a
large
number
studies
have
greatly
expanded
amount
available
data
on
emissions
from
various
types
burning.
Using
essentially
same
methodology
as
this
paper
presents
an
updated
factors.
The
over
370
published
were
critically
evaluated
integrated
into
consistent
format.
Several
new
categories
added,
species
for
which
are
presented
was
increased
93
to
121.
Where
field
still
insufficient,
estimates
based
appropriate
extrapolation
techniques
proposed.
For
key
species,
compared
with
previously
values.
Based
these
global
activity
estimates,
I
derived
pyrogenic
important
released
Journal of the Atmospheric Sciences,
Journal Year:
2016,
Volume and Issue:
73(11), P. 4221 - 4252
Published: July 11, 2016
Abstract
Over
the
past
decade,
number
of
studies
that
investigate
aerosol–cloud
interactions
has
increased
considerably.
Although
tremendous
progress
been
made
to
improve
understanding
basic
physical
mechanisms
and
reduce
their
uncertainties
in
climate
forcing,
there
is
still
poor
1)
some
interact
with
each
other
over
multiple
spatial
temporal
scales,
2)
feedbacks
between
microphysical
dynamical
processes
local-scale
large-scale
circulations,
3)
significance
cloud–aerosol
on
weather
systems
as
well
regional
global
climate.
This
review
focuses
recent
theoretical
important
discusses
significances
aerosol
impacts
radiative
forcing
precipitation
extremes
associated
different
cloud
systems.
The
authors
summarize
main
obstacles
preventing
science
from
making
a
leap—for
example,
lack
concurrent
profile
measurements
dynamics,
microphysics,
aerosols
wide
region
observation
side
large
variability
microphysics
parameterizations
resulting
spread
modeling
results
side.
Therefore,
efforts
are
needed
escalate
understanding.
Future
directions
should
focus
obtaining
properties
dynamic
range
scales
collected
typical
regimes
closure
studies,
improving
such
ice
nucleation,
mixed-phase
properties,
hydrometeor
size
fall
speed.
Environment International,
Journal Year:
2020,
Volume and Issue:
139, P. 105558 - 105558
Published: April 8, 2020
Air
pollution
over
China
has
attracted
wide
interest
from
public
and
academic
community.
PM2.5
is
the
primary
air
pollutant
across
China.
Quantifying
interactions
between
meteorological
conditions
concentrations
are
essential
to
understand
variability
of
seek
methods
control
PM2.5.
Since
2013,
measurement
been
widely
made
at
1436
stations
country
more
than
300
papers
focusing
on
PM2.5-meteorology
have
published.
This
article
a
comprehensive
review
impact
concentrations.
We
start
with
an
introduction
general
China,
then
seasonal
spatial
variations
influences
Next,
major
used
quantify
checked
compared.
find
that
causality
analysis
suitable
for
extracting
influence
individual
factors
whilst
statistical
models
good
quantifying
overall
effect
multiple
Chemical
Transport
Models
(CTMs)
potential
provide
dynamic
estimation
by
considering
anthropogenic
emissions
transport
evolution
pollutants.
comprehensively
examine
mechanisms
how
may
concentrations,
including
dispersion,
growth,
chemical
production,
photolysis,
deposition
The
feedback
effects
also
carefully
examined.
Based
this
review,
suggestions
future
research
approaches
mitigating
finally.
Science,
Journal Year:
2019,
Volume and Issue:
363(6427)
Published: Jan. 18, 2019
A
lack
of
reliable
estimates
cloud
condensation
nuclei
(CCN)
aerosols
over
oceans
has
severely
limited
our
ability
to
quantify
their
effects
on
properties
and
extent
cooling
by
reflecting
solar
radiation-a
key
uncertainty
in
anthropogenic
climate
forcing.
We
introduce
a
methodology
for
ascribing
CCN
isolating
the
aerosol
from
meteorological
effects.
Its
application
showed
that
given
meteorology,
explains
three-fourths
variability
radiative
effect
clouds,
mainly
through
affecting
shallow
cover
water
path.
This
reveals
much
greater
sensitivity
forcing
than
previously
reported,
which
means
too
if
incorporated
into
present
models.
suggests
existence
compensating
warming
yet
be
discovered,
possibly
deep
clouds.
Reviews of Geophysics,
Journal Year:
2018,
Volume and Issue:
56(2), P. 409 - 453
Published: April 17, 2018
The
cloud
droplet
number
concentration
(N
d)
is
of
central
interest
to
improve
the
understanding
physics
and
for
quantifying
effective
radiative
forcing
by
aerosol-cloud
interactions.
Current
standard
satellite
retrievals
do
not
operationally
provide
N
d,
but
it
can
be
inferred
from
optical
depth
(τ
c)
radius
(r
e)
top
temperature.
This
review
summarizes
issues
with
this
approach
quantifies
uncertainties.
A
total
relative
uncertainty
78%
pixel-level
relatively
homogeneous,
optically
thick
unobscured
stratiform
clouds
favorable
viewing
geometry.
even
greater
if
these
conditions
are
met.
For
averages
over
1°
×1°
regions
reduced
54%
assuming
random
errors
instrument
In
contrast,
few
evaluation
studies
against
reference
in
situ
observations
suggest
much
better
accuracy
little
variability
bias.
More
such
required
a
error
characterization.
d
dominated
r
e,
therefore,
improvements
e
would
greatly
quality
retrievals.
Recommendations
made
how
might
achieved.
Some
existing
data
sets
compared
discussed,
best
practices
use
current
passive
instruments
(e.g.,
filtering
criteria)
recommended.
Emerging
alternative
estimates
also
considered.
First,
new
ideas
additional
information
upcoming
spaceborne
second,
approaches
using
high-quality
ground-based
examined.
Atmospheric chemistry and physics,
Journal Year:
2016,
Volume and Issue:
16(8), P. 4785 - 4797
Published: April 19, 2016
Abstract.
The
Observations
and
Modeling
of
the
Green
Ocean
Amazon
(GoAmazon2014/5)
Experiment
was
carried
out
in
environs
Manaus,
Brazil,
central
region
basin
for
2
years
from
1
January
2014
through
31
December
2015.
experiment
focused
on
complex
interactions
among
vegetation,
atmospheric
chemistry,
aerosol
production
one
hand
their
connections
to
aerosols,
clouds,
precipitation
other.
objective
understand
quantify
these
linked
processes,
first
under
natural
conditions
obtain
a
baseline
second
when
altered
by
effects
human
activities.
To
this
end,
pollution
plume
Manaus
metropolis,
superimposed
background
basin,
served
as
laboratory.
present
paper,
introduction
special
issue
GoAmazon2014/5,
presents
context
motivation
GoAmazon2014/5
Experiment.
nine
research
sites,
including
characteristics
instrumentation
each
site,
are
presented.
sites
range
time
point
zero
(T0)
upwind
pollution,
T1
midst
T2
just
downwind
T3
furthest
(70
km).
In
addition
ground
low-altitude
G-159
Gulfstream
I
(G-1)
observed
boundary
layer
low
high-altitude
G550
(HALO)
operated
free
troposphere.
During
2-year
experiment,
two
Intensive
Operating
Periods
(IOP1
IOP2)
also
took
place
that
included
additional
specialized
at
well
flights
aircraft.
IOP1
February
March
wet
season.
IOP2
conducted
15
August
October
dry
G-1
aircraft
flew
during
both
IOP2,
HALO
IOP2.
IOPs
correspond
clean
biomass
burning
seasons,
respectively.
is
year-round,
it
transported
prevailing
northeasterly
easterly
winds
This
organizes
information
relevant
many
papers
issue.
Information
provided
vehicle
fleet,
power
plants,
industrial
activities
Manaus.
mesoscale
synoptic
meteorologies
Regional
long-range
transport
emissions
discussed
based
satellite
observations
across
South
America
Africa.
Fire
locations
throughout
airshed
detailed.
conjunction
with
presented
introduction,
articles
thematic
overview
anticipated
describe
detailed
results
findings
Journal of Geophysical Research Atmospheres,
Journal Year:
2016,
Volume and Issue:
121(11), P. 6472 - 6488
Published: April 2, 2016
Abstract
The
radiative
and
microphysical
effects
of
aerosols
can
affect
the
development
convective
clouds.
objective
this
study
is
to
reveal
if
overall
aerosol
have
any
discernible
impact
on
diurnal
variations
in
precipitation
lightning
by
means
both
observational
analysis
modeling.
As
first
part
two
companion
studies,
paper
concerned
with
analyzing
hourly
PM
10
,
precipitation,
data
collected
during
summers
2008–2012
Pearl
River
Delta
region.
Daily
were
categorized
as
clean,
medium,
or
polluted
so
that
differences
could
be
examined.
Heavy
found
occur
more
frequently
later
day
under
conditions
than
clean
conditions.
Analyses
several
meteorological
factors
such
air
temperature,
vertical
velocity,
wind
speed
also
performed.
They
suggest
influence
serve
suppress
enhance
activities,
respectively.
Under
heavy
pollution
conditions,
reduction
solar
radiation
reaching
surface
delays
occurrence
strong
convection
postpones
late
when
invigoration
effect
likely
comes
into
play.
Although
particles
through
daytime,
concurrent
atmospheric
dynamics
thermodynamics
cannot
ruled
out.
Bulletin of the American Meteorological Society,
Journal Year:
2016,
Volume and Issue:
97(10), P. 1885 - 1908
Published: Jan. 28, 2016
Abstract
Between
1
September
and
4
October
2014,
a
combined
airborne
ground-based
measurement
campaign
was
conducted
to
study
tropical
deep
convective
clouds
over
the
Brazilian
Amazon
rain
forest.
The
new
German
research
aircraft,
High
Altitude
Long
Range
Research
Aircraft
(HALO),
modified
Gulfstream
G550,
extensive
instrumentation
were
deployed
in
near
Manaus
(State
of
Amazonas).
part
German–Brazilian
Aerosol,
Cloud,
Precipitation,
Radiation
Interactions
Dynamics
Convective
Cloud
Systems–Cloud
Processes
Main
Precipitation
Systems
Brazil:
A
Contribution
Resolving
Modeling
GPM
(Global
Measurement)
(ACRIDICON–
CHUVA)
venture
quantify
aerosol–cloud–precipitation
interactions
their
thermodynamic,
dynamic,
radiative
effects
by
situ
remote
sensing
measurements
Amazonia.
ACRIDICON–CHUVA
field
observations
carried
out
cooperation
with
second
intensive
operating
period
Green
Ocean
2014/15
(GoAmazon2014/5).
In
this
paper
we
focus
on
data
measured
HALO,
which
equipped
about
30
instruments
for
meteorological,
trace
gas,
aerosol,
cloud,
precipitation,
spectral
solar
radiation
measurements.
Fourteen
flights
total
duration
96
flight
hours
performed.
Five
scientific
topics
pursued:
1)
cloud
vertical
evolution
life
cycle
(cloud
profiling),
2)
processing
aerosol
particles
gases
(inflow
outflow),
3)
satellite
radar
validation
products),
4)
transport
mixing
(tracer
experiment),
5)
formation
forested/deforested
areas.
Data
collected
near-pristine
atmospheric
conditions
environments
polluted
biomass
burning
urban
emissions.
presents
general
introduction
ACRIDICON–
CHUVA
(motivation
addressed
topics)
HALO
its
instrument
package,
as
well
presentation
few
selected
results
acquired
during
some
topics.