International Journal of Climatology,
Journal Year:
2015,
Volume and Issue:
36(6), P. 2660 - 2670
Published: Oct. 2, 2015
ABSTRACT
On
the
basis
of
mean
temperature,
maximum
temperature
and
minimum
from
updated
China
Homogenized
Historical
Temperature
Data
Sets,
recent
warming
in
Tibetan
Plateau
(
TP
)
during
1961–2005
global
hiatus
period
are
examined.
During
1961–2005,
whole
show
a
statistically
increasing
trend
especially
after
1980s,
with
annual
rates
0.27,
0.19
0.36
°C
decade
−1
,
respectively.
The
performance
26
general
circulation
models
GCMs
available
fifth
phase
Coupled
Model
Intercomparison
Project
CMIP5
is
evaluated
by
comparison
observations
1961–2005.
Most
can
capture
decadal
variations
observed
have
significant
positive
correlations
R
>
0.5),
root
squared
error
<1
°C.
This
suggests
that
reproduce
evolution
but
cold
biases.
However,
most
underestimate
rates,
CNRM‐CM5
GISS‐E2
‐H
MRI‐CGCM3
models.
There
between
magnitudes
anomaly
0.85,
0.86
0.87,
period,
consistent
decreasing
snow
cover
albedo
region.
study
snow/ice‐albedo
feedback
processes
may
account
for
ongoing
surface
despite
pause
warming.
Nature Communications,
Journal Year:
2018,
Volume and Issue:
9(1)
Published: March 29, 2018
Heatwaves
are
important
climatic
extremes
in
atmospheric
and
oceanic
systems
that
can
have
devastating
long-term
impacts
on
ecosystems,
with
subsequent
socioeconomic
consequences.
Recent
prominent
marine
heatwaves
attracted
considerable
scientific
public
interest.
Despite
this,
a
comprehensive
assessment
of
how
these
ocean
temperature
been
changing
globally
is
missing.
Using
range
data
including
global
records
daily
satellite
observations,
situ
measurements
gridded
monthly
situ-based
sets,
we
identify
significant
increases
over
the
past
century.
We
find
from
1925
to
2016,
average
heatwave
frequency
duration
increased
by
34%
17%,
respectively,
resulting
54%
increase
annual
days
globally.
Importantly,
trends
largely
be
explained
mean
temperatures,
suggesting
expect
further
under
continued
warming.
Scientific Reports,
Journal Year:
2017,
Volume and Issue:
7(1)
Published: Dec. 15, 2017
Understanding
changes
in
precipitation
variability
is
essential
for
a
complete
explanation
of
the
hydrologic
cycle's
response
to
warming
and
its
impacts.
While
mean
extreme
have
been
studied
intensively,
has
received
less
attention,
despite
theoretical
practical
importance.
Here,
we
show
that
most
climate
models
increases
over
majority
global
land
area
(66%
robust
increase
seasonal-mean
precipitation).
Comparing
recent
decades
RCP8.5
projections
end
21st
century,
find
global,
multi-model
mean,
3-4%
K-1
globally,
4-5%
2-4%
ocean,
remarkably
on
range
timescales
from
daily
decadal.
Precipitation
by
at
least
as
much
than
moisture
models,
regions,
timescales.
We
interpret
this
being
related
an
which
partially
mitigated
weakening
circulation.
observed
station
data
are
consistent
with
increased
variability.
Wiley Interdisciplinary Reviews Climate Change,
Journal Year:
2015,
Volume and Issue:
6(3), P. 277 - 286
Published: March 13, 2015
The
Arctic
lower
atmosphere
has
warmed
more
rapidly
than
that
of
the
globe
as
a
whole,
and
this
been
accompanied
by
unprecedented
sea
ice
melt.
Such
large
environmental
changes
are
already
having
profound
impacts
on
flora,
fauna,
inhabitants
region.
An
open
question,
however,
is
whether
these
have
an
effect
jet‐stream
thereby
influence
weather
patterns
farther
south.
This
broad
question
recently
received
lot
scientific
media
attention,
but
conclusions
appear
contradictory
rather
consensual.
We
argue
one
point
confusion
arisen
due
to
ambiguities
in
exact
being
posed.
In
study,
we
frame
our
inquiries
around
three
distinct
questions:
Can
warming
midlatitude
jet‐stream?
Has
significantly
influenced
Will
framing
discussion
it?,
it?
provides
insight
into
common
themes
emerging
literature
well
highlights
challenges
ahead.
WIREs
Clim
Change
2015,
6:277–286.
doi:
10.1002/wcc.337
article
categorized
under:
Paleoclimates
Current
Trends
>
Detection
Attribution
Climate
Models
Modeling
Knowledge
Generation
with
Earth System Dynamics,
Journal Year:
2020,
Volume and Issue:
11(2), P. 491 - 508
Published: May 29, 2020
Partitioning
uncertainty
in
projections
of
future
climate
change
into
contributions
from
internal
variability,
model
response
and
emissions
scenarios
has
historically
relied
on
making
assumptions
about
forced
changes
the
mean
variability.
With
advent
multiple
single-model
initial-condition
large
ensembles
(SMILEs),
these
can
be
scrutinized,
as
they
allow
a
more
robust
separation
between
sources
uncertainty.
Here,
framework
Hawkins
Sutton
(2009)
for
partitioning
is
revisited
temperature
precipitation
using
seven
SMILEs
Coupled
Model
Intercomparison
Project
CMIP5
CMIP6
archives.
The
original
approach
shown
to
work
well
at
global
scales
(potential
method
bias
<
20
%),
while
local
regional
such
British
Isles
or
Sahel
precipitation,
there
notable
potential
(up
50
accurate
achieved
through
use
SMILEs.
Whenever
variability
therein
are
important,
need
evaluate
improve
representation
models
evident.
available
good
diversity
many
situations,
them
useful
tool
interpreting
CMIP5.
often
shows
larger
absolute
relative
than
CMIP5,
although
part
this
difference
reconciled
with
higher
average
transient
CMIP6.
This
study
demonstrates
added
value
collection
quantifying
diagnosing
projections.
Science Advances,
Journal Year:
2018,
Volume and Issue:
4(5)
Published: May 2, 2018
Extreme
events
such
as
heat
waves
are
among
the
most
challenging
aspects
of
climate
change
for
societies.
We
show
that
models
consistently
project
increases
in
temperature
variability
tropical
countries
over
coming
decades,
with
Amazon
a
particular
hotspot
concern.
During
season
maximum
insolation,
by
~15%
per
degree
global
warming
Amazonia
and
Southern
Africa
up
to
10%°C
Journal of Climate,
Journal Year:
2015,
Volume and Issue:
28(20), P. 7917 - 7932
Published: May 14, 2015
Abstract
The
potential
of
recent
Arctic
changes
to
influence
hemispheric
weather
is
a
complex
and
controversial
topic
with
considerable
uncertainty,
as
time
series
linkages
are
short
(<10
yr)
understanding
involves
the
relative
contribution
direct
forcing
by
on
chaotic
climatic
system.
A
way
forward
through
further
investigation
atmospheric
dynamic
mechanisms.
During
several
exceptionally
warm
winters
since
2007,
sea
ice
loss
in
Barents
Kara
Seas
initiated
eastward-propagating
wave
trains
high
low
pressure.
Anomalous
pressure
east
Ural
Mountains
advected
air
over
central
eastern
Asia,
resulting
persistent
cold
spells.
Blocking
near
Greenland
related
low-level
temperature
anomalies
led
northerly
flow
into
North
America,
inducing
periods.
Potential
connections
Europe
less
clear.
Variability
Pacific
can
reinforce
downstream
changes,
amplification
accentuate
impact
variability.
authors
emphasize
multiple
linkage
mechanisms
that
regional,
episodic,
based
existing
jet
stream
patterns,
which
result
combination
internal
variability,
lower-tropospheric
anomalies,
midlatitude
teleconnections.
quantitative
change
may
not
be
resolved
within
foreseeable
future,
yet
new
studies
changing
subarctic
low-frequency
dynamics,
together
additional
observations,
contribute
improved
skill
extended-range
forecasts,
planned
WMO
Polar
Prediction
Project
(PPP).
Science,
Journal Year:
2015,
Volume and Issue:
348(6232), P. 324 - 327
Published: March 13, 2015
Rapid
warming
in
the
Arctic
could
influence
mid-latitude
circulation
by
reducing
poleward
temperature
gradient.
The
largest
changes
are
generally
expected
autumn
or
winter,
but
whether
significant
have
occurred
is
debated.
Here
we
report
weakening
of
summer
detected
three
key
dynamical
quantities:
(i)
zonal-mean
zonal
wind,
(ii)
eddy
kinetic
energy
(EKE),
and
(iii)
amplitude
fast-moving
Rossby
waves.
Weakening
wind
explained
a
reduction
Changes
waves
EKE
consistent
with
regression
analyses
climate
model
projections
over
seasonal
cycle.
Monthly
heat
extremes
associated
low
EKE,
thus
observed
might
contributed
to
more
persistent
recent
summers.