Science Advances,
Journal Year:
2022,
Volume and Issue:
8(30)
Published: July 27, 2022
The
mechanisms
underlying
decadal
variability
in
Arctic
sea
ice
remain
actively
debated.
Here,
we
show
that
boreal
biomass
burning
(BB)
emissions
strongly
influences
simulated
on
multidecadal
time
scales.
In
particular,
find
a
strong
acceleration
decline
the
early
21st
century
Community
Earth
System
Model
version
2
(CESM2)
is
related
to
increased
prescribed
BB
sixth
phase
of
Coupled
Intercomparison
Project
(CMIP6)
through
summertime
aerosol-cloud
interactions.
Furthermore,
more
than
half
reported
improvement
sensitivity
CO2
and
global
warming
from
CMIP5
CMIP6
can
be
attributed
variability,
at
least
CESM.
These
results
highlight
new
kind
uncertainty
needs
considered
when
incorporating
observational
data
into
model
forcing
while
also
raising
questions
about
role
observed
loss.
Geophysical Research Letters,
Journal Year:
2021,
Volume and Issue:
48(19)
Published: Sept. 13, 2021
Abstract
For
the
1960–2000
period,
latest
generation
of
climate
models
(Coupled
Model
Intercomparison
Project
Phase
6
[CMIP6])
shows
less
global
mean
surface
temperature
change
relative
to
pre‐industrial
than
that
seen
in
observations.
In
contrast,
previous
(CMIP5)
performed
well
over
this
period.
It
has
been
hypothesized
suppressed
late‐20th
Century
warming
CMIP6
is
caused
by
a
stronger
aerosol
forcing.
However,
we
find
be
only
part
story.
Not
forcing
marginally
more
negative
compared
CMIP5,
greenhouse
gas
also
weaker
CMIP5.
These
differences
are
amplified
sensitivity
between
CMIP5
and
ensemble,
which
leads
both
cooling
1960–1990
induced
from
1990,
returning
post‐2000
toward
observed
level.
Nature Communications,
Journal Year:
2022,
Volume and Issue:
13(1)
Published: Sept. 2, 2022
Atlantic
multidecadal
variability
is
a
coherent
mode
of
natural
climate
occurring
in
the
North
Ocean,
with
strong
impacts
on
human
societies
and
ecosystems
worldwide.
However,
its
periodicity
drivers
are
widely
debated
due
to
short
temporal
extent
instrumental
observations
competing
effects
both
internal
external
factors
acting
surface
temperature
variability.
Here,
we
use
paleoclimate
database
an
advanced
statistical
framework
generate,
evaluate,
compare
312
reconstructions
over
past
millennium,
based
different
indices
regression
methods.
From
this
process,
best
reconstruction
obtained
random
forest
method,
robustness
checked
using
model
outputs
independent
oceanic
data.
This
shows
that
memory
variations
have
strongly
increased
recently-a
potential
early
warning
signal
for
approach
tipping
point.
Frontiers in Climate,
Journal Year:
2022,
Volume and Issue:
4
Published: Sept. 16, 2022
Multi-annual
to
decadal
changes
in
climate
are
accompanied
by
extreme
events
that
cause
major
impacts
on
society
and
severe
challenges
for
adaptation.
Early
warnings
of
such
now
potentially
possible
through
operational
predictions.
However,
improved
understanding
the
causes
regional
these
timescales
is
needed
both
attribute
recent
gain
further
confidence
forecasts.
Here
we
document
Large
Ensemble
Single
Forcing
Model
Intercomparison
Project
will
address
this
need
coordinated
model
experiments
enabling
different
external
drivers
be
isolated.
We
highlight
account
errors
propose
an
attribution
approach
exploits
differences
between
models
diagnose
real-world
situation
overcomes
potential
atmospheric
circulation
changes.
The
analysis
proposed
here
provide
substantial
improvements
our
ability
understand
near-term
support
World
Climate
Research
Program
Lighthouse
Activity
Explaining
Predicting
Earth
System
Change.
Earth System Dynamics,
Journal Year:
2022,
Volume and Issue:
13(4), P. 1397 - 1415
Published: Oct. 4, 2022
Abstract.
Building
on
CMIP6
climate
simulations,
updated
global
and
regional
observations,
recently
introduced
statistical
methods,
we
provide
an
assessment
of
past
future
warming
over
France.
Following
the
IPCC
AR6
recent
global-scale
studies,
combine
model
results
with
observations
to
constrain
change
at
scale.
Over
mainland
France,
forced
in
2020
respect
1900–1930
is
assessed
be
1.66
[1.41
1.90]
∘C,
i.e.,
upper
range
estimates,
almost
entirely
human-induced.
A
refined
view
seasonality
this
provided
through
daily
normals.
Projected
response
intermediate
emission
scenario
3.8
∘C
(2.9
4.8
∘C)
2100
rises
up
6.7
[5.2
8.2]
a
very
high
scenario,
substantially
higher
than
previous
ensembles
simulations.
Winter
summer
are
expected
about
15
%
lower
30
annual
mean
warming,
respectively,
for
all
scenarios
time
periods.
This
work
highlights
importance
combining
various
lines
evidence,
including
observed
data,
deliver
most
reliable
information.
can
feed
adaptation
planning
activities
provides
additional
rationale
urgent
action.
Code
made
available
facilitate
replication
other
areas
or
political
entities.
Nature Communications,
Journal Year:
2022,
Volume and Issue:
13(1)
Published: Oct. 2, 2022
Abstract
Seasonal
ice
in
lakes
plays
an
important
role
for
local
communities
and
lake
ecosystems.
Here
we
use
Large
Ensemble
simulations
conducted
with
the
Community
Earth
System
Model
version
2,
which
includes
a
simulator,
to
quantify
response
of
greenhouse
warming
determine
emergence
patterns
anthropogenic
loss.
Our
model
show
that
average
duration
coverage
maximum
thickness
are
projected
decrease
over
next
80
years
by
38
days
0.23
m,
respectively.
In
Canadian
Arctic,
loss
is
accelerated
cold-season
polar
amplification.
Lake
on
Tibetan
Plateau
decreases
rapidly
due
combination
strong
insolation
forcing
ice-albedo
feedbacks.
Comparing
signal
natural
variability
represented
Ensemble,
find
ecosystems
these
regions
may
be
exposed
no-analogue
within
4-5
decades.
Water Resources Research,
Journal Year:
2022,
Volume and Issue:
59(1)
Published: Dec. 22, 2022
Abstract
Recent
advances
in
global
hydrological
modeling
yield
many
runoff
data
sets
that
are
extensively
used
analyses.
Here,
we
provide
a
comprehensive
evaluation
of
simulated
from
21
models,
including
12
climate
models
CMIP6,
six
the
Inter‐Sectoral
Impact
Model
Inter‐Comparison
Project
(ISMIP2a)
and
three
land
surface
Global
Land
Data
Assimilation
System
(GLDAS),
against
observed
streamflow
840
unimpaired
catchments
globally.
Our
results
show
(a)
no
model
performs
consistently
better
estimating
all
aspects,
tend
to
perform
more
humid
regions
non‐cold
areas;
(b)
interannual
variability
is
well
represented
ISIMIP2a
GLDAS
satisfactorily
capturing
annual
trend;
(c)
intra‐annual
cycle
reasonably
captured
by
yet
an
overestimation
early
bias
peak
flow
timing
commonly
found;
(d)
uncertainty
leads
larger
estimates
than
induced
forcing
ISIMIP2a,
ISIMIP2a.
Finally,
confirm
multi‐model
ensemble
effective
way
reduce
individual
except
for
CMIP6
regarding
mean
magnitude
trend.
Overall,
our
findings
suggest
assessments/projections
changes
based
on
these
outputs
contain
great
uncertainties
should
be
interpreted
with
caution,
call
advanced,
observation‐guided
techniques
large‐scale
applications.
Proceedings of the National Academy of Sciences,
Journal Year:
2023,
Volume and Issue:
120(20)
Published: May 8, 2023
In
1967,
scientists
used
a
simple
climate
model
to
predict
that
human-caused
increases
in
atmospheric
CO2
should
warm
Earth's
troposphere
and
cool
the
stratosphere.
This
important
signature
of
anthropogenic
change
has
been
documented
weather
balloon
satellite
temperature
measurements
extending
from
near-surface
lower
Stratospheric
cooling
also
confirmed
mid
upper
stratosphere,
layer
roughly
25
50
km
above
surface
(S25
-
50).
To
date,
however,
S25
temperatures
have
not
pattern-based
attribution
studies
change.
Here,
we
perform
such
"fingerprint"
study
with
satellite-derived
patterns
extend
Including
information
signal-to-noise
ratios
by
factor
five,
markedly
enhancing
fingerprint
detectability.
Key
features
this
global-scale
human
include
stratospheric
tropospheric
warming
at
all
latitudes,
amplifying
height.
contrast,
dominant
modes
internal
variability
smaller-scale
changes
lack
uniform
sign.
These
pronounced
spatial
differences
between
signal
noise
are
accompanied
large
(1
2[Formula:
see
text]C
over
1986
2022)
low
levels.
Our
results
explain
why
"vertical
fingerprinting"
stratosphere
yields
incontrovertible
evidence
effects
on
thermal
structure
atmosphere.
Journal of Advances in Modeling Earth Systems,
Journal Year:
2023,
Volume and Issue:
15(10)
Published: Oct. 1, 2023
Abstract
Single‐model
initial‐condition
large
ensembles
are
powerful
tools
to
quantify
the
forced
response,
internal
climate
variability,
and
their
evolution
under
global
warming.
Here,
we
present
CMIP6
version
of
Max
Planck
Institute
Grand
Ensemble
(MPI‐GE
CMIP6)
with
currently
30
realizations
for
historical
period
five
emission
scenarios.
The
power
MPI‐GE
goes
beyond
its
predecessor
ensemble
by
providing
high‐frequency
output,
full
range
scenarios
including
highly
policy‐relevant
low
SSP1‐1.9
SSP1‐2.6,
opportunity
compare
complementary
high‐resolution
simulations.
First,
describe
CMIP6,
evaluate
it
observations
reanalyzes
MPI‐GE.
Then,
demonstrate
six
application
examples
how
use
better
understand
future
extremes,
inform
about
uncertainty
in
approaching
Paris
Agreement
warming
limits,
combine
artificial
intelligence.
For
instance,
allows
us
show
that
recently
observed
Siberian
Pacific
North
American
heatwaves
would
only
avoid
reaching
1–2
years
return
periods
2071–2100
scenarios,
European
precipitation
extremes
captured
simulations,
3‐hourly
output
projects
a
decreasing
activity
storms
mid‐latitude
oceans.
Further,
is
ideal
estimates
probabilities
crossing
limits
irreducible
introduced
sufficiently
be
used
infilling
surface
temperature
Nature Communications,
Journal Year:
2023,
Volume and Issue:
14(1)
Published: Jan. 17, 2023
Abstract
Black
carbon
emitted
by
incomplete
combustion
of
fossil
fuels
and
biomass
has
a
net
warming
effect
in
the
atmosphere
reduces
albedo
when
deposited
on
ice
snow;
accurate
knowledge
past
emissions
is
essential
to
quantify
model
associated
global
climate
forcing.
Although
bottom-up
inventories
provide
historical
Carbon
emission
estimates
that
are
widely
used
Earth
System
Models,
they
poorly
constrained
observations
prior
late
20th
century.
Here
we
use
an
objective
inversion
technique
based
detailed
atmospheric
transport
deposition
modeling
reconstruct
1850
2000
from
thirteen
Northern
Hemisphere
ice-core
records.
We
find
substantial
discrepancies
between
reconstructed
existing
which
do
not
fully
capture
complex
spatial-temporal
patterns.
Our
findings
imply
changes
radiative
forcing
necessary,
with
potential
implications
for
observation-constrained
sensitivity.