Atmospheric chemistry and physics,
Journal Year:
2022,
Volume and Issue:
22(3), P. 2095 - 2119
Published: Feb. 15, 2022
Abstract.
Mineral
dust
impacts
key
processes
in
the
Earth
system,
including
radiation
budget,
clouds,
and
nutrient
cycles.
We
evaluate
aerosols
16
models
participating
sixth
phase
of
Coupled
Model
Intercomparison
Project
(CMIP6)
against
multiple
reanalyses
observations.
note
that
both
observations
used
here
have
their
limitations
particularly
emission
deposition
are
poorly
constrained.
Most
models,
multi-model
ensemble
mean
(MEM),
capture
spatial
patterns
seasonal
cycles
global
well.
However,
large
uncertainties
inter-model
diversity
found.
For
example,
emissions,
primarily
driven
by
model-simulated
surface
winds,
vary
a
factor
5
across
while
MEM
estimate
is
double
amount
reanalyses.
The
ranges
CMIP6
emission,
deposition,
burden,
optical
depth
(DOD)
larger
than
previous
generations
models.
Models
present
considerable
disagreement
over
North
China
America.
Here,
DOD
values
overestimated
most
with
1.2–1.7
times
compared
to
satellite
reanalysis
datasets.
Such
overestimates
can
reach
up
individual
also
fail
reproduce
some
features
regional
distribution,
such
as
accumulation
along
southern
edge
Himalayas.
Overall,
there
still
models'
simulated
processes,
which
feature
inconsistent
biases
throughout
life
cycle
between
relationship
connecting
mass
DOD.
Our
results
imply
modelled
becoming
more
uncertain
become
sophisticated.
More
detailed
output
size-resolved
variables
particular,
relating
future
intercomparison
projects,
needed
enable
better
constraints
potential
identification
observationally
constrained
links
properties.
Biogeosciences,
Journal Year:
2020,
Volume and Issue:
17(13), P. 3439 - 3470
Published: July 6, 2020
Abstract.
Anthropogenic
climate
change
is
projected
to
lead
ocean
warming,
acidification,
deoxygenation,
reductions
in
near-surface
nutrients,
and
changes
primary
production,
all
of
which
are
expected
affect
marine
ecosystems.
Here
we
assess
projections
these
drivers
environmental
over
the
twenty-first
century
from
Earth
system
models
(ESMs)
participating
Coupled
Model
Intercomparison
Project
Phase
6
(CMIP6)
that
were
forced
under
CMIP6
Shared
Socioeconomic
Pathways
(SSPs).
Projections
compared
those
previous
generation
(CMIP5)
Representative
Concentration
(RCPs).
A
total
10
CMIP5
13
used
two
multi-model
ensembles.
Under
high-emission
scenario
SSP5-8.5,
global
mean
(2080–2099
values
relative
1870–1899)
±
inter-model
SD
sea
surface
temperature,
pH,
subsurface
(100–600
m)
oxygen
concentration,
euphotic
(0–100
nitrate
depth-integrated
production
+3.47±0.78
∘C,
-0.44±0.005,
-13.27±5.28,
-1.06±0.45
mmol
m−3
-2.99±9.11
%,
respectively.
low-emission,
high-mitigation
SSP1-2.6,
corresponding
+1.42±0.32
-0.16±0.002,
-6.36±2.92,
-0.52±0.23
m−3,
-0.56±4.12
%.
Projected
exposure
ecosystem
depends
largely
on
extent
future
emissions,
consistent
with
studies.
The
ESMs
generally
project
greater
but
lesser
declines
than
comparable
radiative
forcing.
increased
warming
results
a
general
increase
sensitivity
CMIP5.
This
enhanced
increases
upper-ocean
stratification
projections,
contributes
ventilation.
acidification
primarily
consequence
SSPs
having
higher
associated
atmospheric
CO2
concentrations
their
RCP
analogues
for
same
We
find
no
reduction
uncertainties,
even
an
net
uncertainties
CMIP6,
as
Nature Communications,
Journal Year:
2021,
Volume and Issue:
12(1)
Published: Nov. 18, 2021
Soil
salinization
has
become
one
of
the
major
environmental
and
socioeconomic
issues
globally
this
is
expected
to
be
exacerbated
further
with
projected
climatic
change.
Determining
how
climate
change
influences
dynamics
naturally-occurring
soil
scarcely
been
addressed
due
highly
complex
processes
influencing
salinization.
This
paper
sets
out
address
long-standing
challenge
by
developing
data-driven
models
capable
predicting
primary
(naturally-occurring)
salinity
its
variations
in
world's
drylands
up
year
2100
under
changing
climate.
Analysis
future
predictions
made
here
identifies
dryland
areas
South
America,
southern
western
Australia,
Mexico,
southwest
United
States,
Africa
as
hotspots.
Conversely,
we
project
a
decrease
northwest
Horn
Africa,
Eastern
Europe,
Turkmenistan,
west
Kazakhstan
response
over
same
period.
Excess
salt
accumulation
root
zone
causes
health,
biodiversity
food
security.
Authors
used
machine
learning
algorithms
predict
global
scale
21st
century.
Earth System Dynamics,
Journal Year:
2021,
Volume and Issue:
12(1), P. 253 - 293
Published: March 1, 2021
Abstract.
The
Scenario
Model
Intercomparison
Project
(ScenarioMIP)
defines
and
coordinates
the
main
set
of
future
climate
projections,
based
on
concentration-driven
simulations,
within
Coupled
phase
6
(CMIP6).
This
paper
presents
a
range
its
outcomes
by
synthesizing
results
from
participating
global
coupled
Earth
system
models.
We
limit
our
scope
to
analysis
strictly
geophysical
outcomes:
mainly
averages
spatial
patterns
change
for
surface
air
temperature
precipitation.
also
compare
CMIP6
projections
CMIP5
results,
especially
those
scenarios
that
were
designed
provide
continuity
across
CMIP
phases,
at
same
time
highlighting
important
differences
in
forcing
composition,
as
well
results.
precipitation
changes
end
century
(2081–2100)
encompassing
Tier
1
experiments
Shared
Socioeconomic
Pathway
(SSP)
(SSP1-2.6,
SSP2-4.5,
SSP3-7.0
SSP5-8.5)
SSP1-1.9
spans
larger
compared
CMIP5,
due
higher
warming
(by
close
1.5
∘C)
reached
upper
5
%–95
%
envelope
highest
scenario
(SSP5-8.5).
is
both
wider
radiative
new
cover
sensitivities
some
models
their
predecessors.
Spatial
averaged
over
have
familiar
features,
an
variations
confirms
model
structural
be
dominant
source
uncertainty.
Models
differ
with
respect
size
evolution
internal
variability
measured
individual
models'
initial
condition
ensemble
spreads,
according
simulations
available
under
SSP3-7.0.
These
suggest
tendency
decrease
along
course
this
scenario,
result
will
benefit
further
Benefits
mitigation,
all
else
being
equal
terms
societal
drivers,
appear
clearly
when
comparing
developed
SSP
but
which
different
degrees
mitigation
been
applied.
It
found
mild
overshoot
few
decades
around
mid-century,
represented
SSP5-3.4OS,
does
not
affect
outcome
2100,
return
levels
gradually
increasing
SSP4-3.4
(not
erasing
possibility,
however,
other
aspects
may
easily
reversible).
Central
estimates
means
reach
given
level
might
biased
inclusion
shown
faster
historical
period
than
observed.
Those
show
reaching
∘C
1850–1900
baseline
second
half
current
decade,
span
between
slow
fast
covering
20
27
years
present.
2
early
2039
mean
SSP5-8.5
late
mid-2060s
SSP1-2.6.
considered
(5
only
until
mid-2090s.
Earth Systems and Environment,
Journal Year:
2020,
Volume and Issue:
4(2), P. 297 - 320
Published: May 26, 2020
Abstract
The
latest
Coupled
Model
Intercomparison
Project
phase
6
(CMIP6)
dataset
was
analyzed
to
examine
the
projected
changes
in
temperature
and
precipitation
over
six
South
Asian
countries
during
twenty-first
century.
CMIP6
model
simulations
reveal
biases
annual
mean
Asia
present
climate.
In
historical
period,
median
of
ensemble
systematically
underestimates
for
all
countries,
while
a
mixed
behavior
is
shown
case
precipitation.
future
climate,
models
display
higher
sensitivity
greenhouse
gas
emissions
compared
with
CMIP5
models.
multimodel
from
27
projects
continuous
increase
century
under
three
scenarios.
shows
large
(over
°C
SSP5-8.5
scenario)
northwestern
parts
Asia,
comprising
complex
Karakorum
Himalayan
mountain
ranges.
Any
this
region
will
most
likely
result
faster
rate
glacier
melting.
By
end
century,
(uncertainty
range)
by
1.2
(0.7–2.1)
°C,
2.1
(1.5–3.3)
4.3
(3.2–6.6)
SSP1-2.6,
SSP2-4.5,
scenarios,
respectively,
relative
(1995–2014)
warming
also
on
seasonal
time
scale.
winter
season
than
summer
which
if
verified
have
repercussions
snow/ice
accumulations
as
well
cropping
patterns.
change
varies
considerably
between
countries.
country-averaged
17.1
(2.2–49.1)%
Bangladesh,
18.9
(−4.9
72)%
Bhutan,
27.3
(5.3–160.5)%
India,
19.5
(−5.9
95.6)%
Nepal,
26.4
(6.4–159.7)%
Pakistan,
25.1
(−8.5
61.0)%
Sri
Lanka
scenario.
projections
variability.
reveals
robust
western
Himalayas,
corresponding
decrease
eastern
Himalayas.
On
other
hand,
region,
largest
arid
southern
Pakistan
adjacent
areas
high-emission
results
presented
study
give
detailed
insights
into
performance
could
be
extended
further
develop
adaptation
strategies,
may
act
guideline
document
climate
related
policymaking
region.
Earth Systems and Environment,
Journal Year:
2020,
Volume and Issue:
4(3), P. 455 - 475
Published: July 2, 2020
Abstract
We
analyze
data
of
27
global
climate
models
from
the
sixth
phase
Coupled
Model
Intercomparison
Project
(CMIP6),
and
examine
projected
changes
in
temperature
precipitation
over
African
continent
during
twenty-first
century.
The
are
computed
for
two
future
time
slices,
2030–2059
(near
term)
2070–2099
(long
term),
relative
to
present
(1981–2010),
entire
its
eight
subregions.
CMIP6
multi-model
ensemble
a
continuous
significant
increase
mean
annual
all
Africa
subregions
near
(long)-term
period
is
by
1.2
°C
(1.4
°C),
1.5
(2.3
1.8
(4.4
°C)
under
Shared
Socioeconomic
Pathways
(SSPs)
weak,
moderate,
strong
forcing,
referenced
as
SSP1-2.6,
SSP2-4.5,
SSP5-8.5,
respectively.
warming
not
uniform
varies
regionally.
By
end
century,
largest
rise
(5.6
Sahara,
while
smallest
(3.5
Central
East
Africa,
forcing
SSP5-8.5
scenario.
boreal
winter
summer
patterns
century
show
spatial
distributions
similar
patterns.
Uncertainty
associated
with
increases
reaches
maximum
On
other
hand,
projections
large
variability
seasonal
dependency.
northern
southern
parts
reduction
precipitation,
central
an
increase,
climates
three
reference
scenarios.
For
periods,
area-averaged
6.2
(4.8)%,
6.8
(8.5)%,
9.5
(15.2)%
median
simulated
model
remains
higher
than
CMIP5
most
reaching
high
2.5
some
regions,
shows
mixed
pattern.
Geophysical Research Letters,
Journal Year:
2020,
Volume and Issue:
47(12)
Published: May 25, 2020
Abstract
We
explore
the
representation
of
Atlantic
Meridional
Overturning
Circulation
(AMOC)
in
27
models
from
CMIP6
multimodel
ensemble.
Comparison
with
RAPID
and
SAMBA
observations
suggests
that
ensemble
mean
represents
AMOC
strength
vertical
profile
reasonably
well.
Linear
trends
over
entire
historical
period
(1850–2014)
are
generally
neutral,
but
many
exhibit
an
peak
around
1980s.
Ensemble
decline
future
(SSP)
scenarios
is
stronger
than
CMIP5
models.
In
fact,
surprisingly
insensitive
to
scenario
at
least
up
2060.
find
emergent
relationship
among
a
majority
between
21st
century
decline.
Constraining
this
might
6
8
Sv
(34–45%)
by
2100.
A
smaller
group
projects
much
less
weakening
only
30%.
Atmospheric chemistry and physics,
Journal Year:
2020,
Volume and Issue:
20(16), P. 9591 - 9618
Published: Aug. 17, 2020
Abstract.
The
effective
radiative
forcing,
which
includes
the
instantaneous
forcing
plus
adjustments
from
atmosphere
and
surface,
has
emerged
as
key
metric
of
evaluating
human
natural
influence
on
climate.
We
evaluate
in
17
contemporary
climate
models
that
are
participating
Coupled
Model
Intercomparison
Project
(CMIP6)
have
contributed
to
Radiative
Forcing
(RFMIP).
Present-day
(2014)
global-mean
anthropogenic
relative
pre-industrial
(1850)
levels
stands
at
2.00
(±0.23)
W
m−2,
comprised
1.81
(±0.09)
m−2
CO2,
1.08
(±
0.21)
other
well-mixed
greenhouse
gases,
−1.01
0.23)
aerosols
−0.09
(±0.13)
land
use
change.
Quoted
uncertainties
1
standard
deviation
across
model
best
estimates,
90
%
confidence
reported
forcings,
due
internal
variability,
is
typically
within
0.1
m−2.
majority
remaining
0.21
likely
be
ozone.
In
most
cases,
largest
contributors
spread
(ERF)
(IRF)
cloud
responses,
particularly
aerosol–cloud
interactions
aerosol
forcing.
As
determined
previous
studies,
cancellation
tropospheric
surface
means
stratospherically
adjusted
approximately
equal
ERF
for
gas
but
not
aerosols,
consequentially,
total.
ranges
−0.63
−1.37
exhibiting
a
less
negative
mean
narrower
range
compared
10
CMIP5
models.
4×CO2
also
narrowed
CMIP6
13
Aerosol
uncorrelated
with
sensitivity.
Therefore,
there
no
evidence
suggest
increasing
sensitivity
models,
related
high-sensitivity
consequence
stronger
present-day
little
modelling
groups
systematically
tuning
or
recreate
observed
historical
warming.
Earth System Dynamics,
Journal Year:
2020,
Volume and Issue:
11(4), P. 995 - 1012
Published: Nov. 13, 2020
Abstract.
The
sixth
Coupled
Model
Intercomparison
Project
(CMIP6)
constitutes
the
latest
update
on
expected
future
climate
change
based
a
new
generation
of
models.
To
extract
reliable
estimates
warming
and
related
uncertainties
from
these
models,
spread
in
their
projections
is
often
translated
into
probabilistic
such
as
mean
likely
range.
Here,
we
use
model
weighting
approach,
which
accounts
for
models'
historical
performance
several
diagnostics
well
interdependence
within
CMIP6
ensemble,
to
calculate
constrained
distributions
global
temperature
change.
We
investigate
skill
our
approach
perfect
test,
where
previous-generation
CMIP5
models
pseudo-observations
period.
distribution
weighted
abovementioned
manner
with
respect
matching
then
evaluated,
find
increase
about
17
%
compared
unweighted
distribution.
In
addition,
show
that
independence
metric
correctly
clusters
known
be
similar
“family
tree”,
enables
application
degree
inter-model
dependence.
apply
two
observational
(the
fifth
European
Centre
Medium-Range
Weather
Forecasts
Retrospective
Analysis
–
ERA5,
Modern-Era
analysis
Research
Applications,
version
2
MERRA-2),
constrain
under
weak
(SSP1-2.6)
strong
(SSP5-8.5)
scenarios
(SSP
refers
Shared
Socioeconomic
Pathways).
Our
results
reduction
projected
both
because
some
high
receive
systematically
lower
weights.
end-of-century
(2081–2100
relative
1995–2014)
SSP5-8.5
3.7
∘C,
4.1
∘C
without
weighting;
(66%)
uncertainty
range
3.1
4.6
equates
13
decrease
spread.
For
SSP1-2.6,
1
(0.7
1.4
∘C),
−0.1
−24
case.